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ORCIDQiang Yang 0001
楊強
Person information
- unicode name: 楊強
- affiliation: Hong Kong University of Science and Technology, Department of Computer Science, Kowloon, Hong Kong
- affiliation (former): Simon Fraser University, Burnaby, BC, Canada
- affiliation (former): University of Waterloo, Waterloo, Ontario, Canada
Other persons with the same name
- Qiang Yang — disambiguation page
- Qiang Yang 0002 — Shandong University of Science and Technology, China
- Qiang Yang 0003
![[0000-0002-6570-1516]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-6570-1516")
— Harbin Institute of Technology, China - Qiang Yang 0004 — Zhejiang University, College of Electrical Engineering, Hangzhou, China (and 4 more)
- Qiang Yang 0005 — Jilin University, Changchun Jilin, China
- Qiang Yang 0006 — University of Amsterdam, The Netherlands
- Qiang Yang 0007 — Yangtze University, College of Computer Science, JingZhou, China
- Qiang Yang 0008 — Nanjing University of Information Science and Technology, School of Artificial Intelligence, China (and 2 more)
- Qiang Yang 0009 — Tsinghua University, State Key Laboratory of Hydroscience and Hydraulic Engineering, Beijing, China
- Qiang Yang 0010 — Sun Yat-sen University, School of Information Science and Technology, China
- Qiang Yang 0011 — University of Manchester, UK
- Qiang Yang 0012 — Chinese Academy of Sciences, Institute of Computing Technology, State Key Laboratory of Computer Architecture, China
- Qiang Yang 0013 — Huazhong University of Science and Technology (HUST), Wuhan, China
- Qiang Yang 0014 — Northeastern University, Shenyang, China
- Qiang Yang 0015 — University of Florida, Department of Health Outcomes and Biomedical Informatics, Gainesville, FL, USA (and 2 more)
- Qiang Yang 0016 — Sichuan University, College of Electronics and Information Engineering, Chengdu, China
- Qiang Yang 0017 — Southwest Jiaotong University, School of Transportation and Logistics, Chengdu, China
- Qiang Yang 0018 — Hong Kong Polytechnic University (and 1 more)
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Books and Theses
- 2019
[b3]Qiang Yang, Yang Liu, Yong Cheng, Yan Kang, Tianjian Chen, Han Yu:
Federated Learning. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers 2019, ISBN 978-3-031-00457-5- 2012
- [b2]Charles X. Ling, Qiang Yang:
Crafting Your Research Future: A Guide to Successful Master's and Ph.D. Degrees in Science & Engineering. Synthesis Lectures on Engineering, Morgan & Claypool Publishers 2012, ISBN 978-3-031-79350-9 - 1997
- [b1]Qiang Yang:
Intelligent planning - a decomposition and abstraction based approach. Artificial intelligence, Springer 1997, ISBN 978-3-540-61901-7, pp. I-XXII, 1-252
Journal Articles
- 2023
- [j197]Zinan Lin, Dugang Liu, Weike Pan, Qiang Yang, Zhong Ming:
Transfer learning for collaborative recommendation with biased and unbiased data. Artif. Intell. 324: 103992 (2023) - [j196]Pengqing Hu, Zhaohao Lin, Weike Pan, Qiang Yang, Xiaogang Peng, Zhong Ming:
Privacy-preserving graph convolution network for federated item recommendation. Artif. Intell. 324: 103996 (2023) - [j195]Zelei Liu, Yuanyuan Chen, Yansong Zhao, Han Yu, Yang Liu, Renyi Bao, Jinpeng Jiang, Zaiqing Nie, Qian Xu, Qiang Yang:
CAreFL: Enhancing smart healthcare with Contribution-Aware Federated Learning. AI Mag. 44(1): 4-15 (2023) - [j194]Minrui Xu, Wei Chong Ng, Wei Yang Bryan Lim, Jiawen Kang, Zehui Xiong, Dusit Niyato, Qiang Yang, Xuemin Shen, Chunyan Miao:
A Full Dive Into Realizing the Edge-Enabled Metaverse: Visions, Enabling Technologies, and Challenges. IEEE Commun. Surv. Tutorials 25(1): 656-700 (2023) - [j193]Xueyang Wu, Di Jiang, Yuanfeng Song, Qian Xu, Qiang Yang:
Enhance Mono-modal Sentiment Classification with Federated Cross-modal Transfer. IEEE Data Eng. Bull. 46(1): 158-169 (2023) - [j192]Qiang Yang, Anbu Huang, Lixin Fan, Chee Seng Chan, Jian Han Lim, Kam Woh Ng, Ding Sheng Ong, Bowen Li:
Federated Learning with Privacy-preserving and Model IP-right-protection. Int. J. Autom. Comput. 20(1): 19-37 (2023) - [j191]Yi Zhu, Qiang Yang, Xinfa Mao:
Global Trends in the Study of Smart Healthcare Systems for the Elderly: Artificial Intelligence Solutions. Int. J. Comput. Intell. Syst. 16(1): 105 (2023) - [j190]Bowen Li, Lixin Fan, Hanlin Gu, Jie Li, Qiang Yang:
FedIPR: Ownership Verification for Federated Deep Neural Network Models. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4521-4536 (2023) - [j189]Zhifeng Jiang, Wei Wang, Bo Li, Qiang Yang:
Towards Efficient Synchronous Federated Training: A Survey on System Optimization Strategies. IEEE Trans. Big Data 9(2): 437-454 (2023) - [j188]Xiaojin Zhang, Hanlin Gu, Lixin Fan, Kai Chen, Qiang Yang:
No Free Lunch Theorem for Security and Utility in Federated Learning. ACM Trans. Intell. Syst. Technol. 14(1): 1:1-1:35 (2023) - [j187]Xiaojin Zhang, Yan Kang, Kai Chen, Lixin Fan, Qiang Yang:
Trading Off Privacy, Utility, and Efficiency in Federated Learning. ACM Trans. Intell. Syst. Technol. 14(6): 98:1-98:32 (2023) - [j186]Huiming Chen, Huandong Wang, Quanming Yao, Yong Li, Depeng Jin, Qiang Yang:
LoSAC: An Efficient Local Stochastic Average Control Method for Federated Optimization. ACM Trans. Knowl. Discov. Data 17(4): 58:1-58:28 (2023) - [j185]Alysa Ziying Tan, Han Yu, Lizhen Cui, Qiang Yang:
Towards Personalized Federated Learning. IEEE Trans. Neural Networks Learn. Syst. 34(12): 9587-9603 (2023) - [j184]Zhaohao Lin, Weike Pan, Qiang Yang, Zhong Ming:
A Generic Federated Recommendation Framework via Fake Marks and Secret Sharing. ACM Trans. Inf. Syst. 41(2): 40:1-40:37 (2023) - [j183]Wei Yang Bryan Lim, Zehui Xiong, Dusit Niyato, Xianbin Cao, Chunyan Miao, Sumei Sun, Qiang Yang:
Realizing the Metaverse with Edge Intelligence: A Match Made in Heaven. IEEE Wirel. Commun. 30(4): 64-71 (2023) - 2022
- [j182]Kevin Leyton-Brown, Mausam, Qiang Yang:
The New Faculty Highlights Program at AAAI-21. AI Mag. 43(4): 343 (2022) - [j181]Siwei Feng, Boyang Li, Han Yu, Yang Liu, Qiang Yang:
Semi-Supervised Federated Heterogeneous Transfer Learning. Knowl. Based Syst. 252: 109384 (2022) - [j180]Lixin Fan, Kam Woh Ng, Chee Seng Chan, Qiang Yang:
DeepIPR: Deep Neural Network Ownership Verification With Passports. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6122-6139 (2022) - [j179]Jian Han Lim, Chee Seng Chan, Kam Woh Ng, Lixin Fan, Qiang Yang:
Protect, show, attend and tell: Empowering image captioning models with ownership protection. Pattern Recognit. 122: 108285 (2022) - [j178]Qiang Yang, Yongxin Tong, Yang Liu, Yangqiu Song, Hao Peng, Boi Faltings:
Introduction to the Special Issue on the Federated Learning: Algorithms, Systems, and Applications: Part 1. ACM Trans. Intell. Syst. Technol. 13(4): 52:1-52:3 (2022) - [j177]Di Chai, Leye Wang, Kai Chen, Qiang Yang:
Efficient Federated Matrix Factorization Against Inference Attacks. ACM Trans. Intell. Syst. Technol. 13(4): 59:1-59:20 (2022) - [j176]Qiang Yang, Yongxin Tong, Yang Liu, Yangqiu Song, Hao Peng, Boi Faltings:
Preface to Federated Learning: Algorithms, Systems, and Applications: Part 2. ACM Trans. Intell. Syst. Technol. 13(5): 69:1-69:2 (2022) - [j175]Yu Zhang, Qiang Yang:
A Survey on Multi-Task Learning. IEEE Trans. Knowl. Data Eng. 34(12): 5586-5609 (2022) - [j174]Yang Liu, Xinwei Zhang, Yan Kang, Liping Li, Tianjian Chen, Mingyi Hong, Qiang Yang:
FedBCD: A Communication-Efficient Collaborative Learning Framework for Distributed Features. IEEE Trans. Signal Process. 70: 4277-4290 (2022) - 2021
- [j173]Yang Liu, Anbu Huang, Yun Luo, He Huang, Youzhi Liu, Yuanyuan Chen, Lican Feng, Tianjian Chen, Han Yu, Qiang Yang:
Federated Learning-Powered Visual Object Detection for Safety Monitoring. AI Mag. 42(2): 19-27 (2021) - [j172]Shaoqi Chen, Dongyu Xue, Guohui Chuai, Qiang Yang, Qi Liu:
FL-QSAR: a federated learning-based QSAR prototype for collaborative drug discovery. Bioinform. 36(22-23): 5492-5498 (2021) - [j171]Wenyi Xiao, Huan Zhao, Haojie Pan, Yangqiu Song, Vincent W. Zheng, Qiang Yang:
Social explorative attention based recommendation for content distribution platforms. Data Min. Knowl. Discov. 35(2): 533-567 (2021) - [j170]Junxiao Ge, Bin Liu, Tian Wang, Qiang Yang, Anfeng Liu, Ang Li:
Q-learning based flexible task scheduling in a global view for the Internet of Things. Trans. Emerg. Telecommun. Technol. 32(8) (2021) - [j169]Di Chai, Leye Wang, Kai Chen, Qiang Yang:
Secure Federated Matrix Factorization. IEEE Intell. Syst. 36(5): 11-20 (2021) - [j168]Kewei Cheng, Tao Fan, Yilun Jin, Yang Liu, Tianjian Chen, Dimitrios Papadopoulos, Qiang Yang:
SecureBoost: A Lossless Federated Learning Framework. IEEE Intell. Syst. 36(6): 87-98 (2021) - [j167]Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista A. Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Hubert Eichner, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaïd Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konecný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Hang Qi, Daniel Ramage, Ramesh Raskar, Mariana Raykova, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao:
Advances and Open Problems in Federated Learning. Found. Trends Mach. Learn. 14(1-2): 1-210 (2021) - [j166]Xiang Zhang, Qiang Yang:
Correction to: Transfer Hierarchical Attention Network for Generative Dialog System. Int. J. Autom. Comput. 18(5): 856 (2021) - [j165]Longbing Cao, Qiang Yang, Philip S. Yu:
Data science and AI in FinTech: an overview. Int. J. Data Sci. Anal. 12(2): 81-99 (2021) - [j164]Yang Liu, Tao Fan, Tianjian Chen, Qian Xu, Qiang Yang:
FATE: An Industrial Grade Platform for Collaborative Learning With Data Protection. J. Mach. Learn. Res. 22: 226:1-226:6 (2021) - [j163]Qiang Yang:
Toward Responsible AI: An Overview of Federated Learning for User-centered Privacy-preserving Computing. ACM Trans. Interact. Intell. Syst. 11(3-4): 32:1-32:22 (2021) - [j162]Di Jiang, Yongxin Tong, Yuanfeng Song, Xueyang Wu, Weiwei Zhao, Jinhua Peng, Rongzhong Lian, Qian Xu, Qiang Yang:
Industrial Federated Topic Modeling. ACM Trans. Intell. Syst. Technol. 12(1): 2:1-2:22 (2021) - [j161]Di Jiang, Conghui Tan, Jinhua Peng, Chaotao Chen, Xueyang Wu, Weiwei Zhao, Yuanfeng Song, Yongxin Tong, Chang Liu, Qian Xu, Qiang Yang, Li Deng:
A GDPR-compliant Ecosystem for Speech Recognition with Transfer, Federated, and Evolutionary Learning. ACM Trans. Intell. Syst. Technol. 12(3): 30:1-30:19 (2021) - [j160]Anbu Huang, Yang Liu, Tianjian Chen, Yongkai Zhou, Quan Sun, Hongfeng Chai, Qiang Yang:
StarFL: Hybrid Federated Learning Architecture for Smart Urban Computing. ACM Trans. Intell. Syst. Technol. 12(4): 43:1-43:23 (2021) - 2020
- [j159]Yongqing Zheng, Han Yu, Lizhen Cui, Chunyan Miao, Cyril Leung, Yang Liu, Qiang Yang:
Addressing the Challenges of Government Service Provision with AI. AI Mag. 41(1): 33-43 (2020) - [j158]Yong Cheng, Yang Liu, Tianjian Chen, Qiang Yang:
Federated learning for privacy-preserving AI. Commun. ACM 63(12): 33-36 (2020) - [j157]Wei Yang Bryan Lim, Nguyen Cong Luong, Dinh Thai Hoang, Yutao Jiao, Ying-Chang Liang, Qiang Yang, Dusit Niyato, Chunyan Miao:
Federated Learning in Mobile Edge Networks: A Comprehensive Survey. IEEE Commun. Surv. Tutorials 22(3): 2031-2063 (2020) - [j156]Yang Liu, Han Yu, Qiang Yang:
Introduction to the Special Issue on Federated Machine Learning. IEEE Intell. Syst. 35(4): 3-4 (2020) - [j155]Han Yu, Zelei Liu, Yang Liu, Tianjian Chen, Mingshu Cong, Xi Weng, Dusit Niyato, Qiang Yang:
A Sustainable Incentive Scheme for Federated Learning. IEEE Intell. Syst. 35(4): 58-69 (2020) - [j154]Yang Liu, Yan Kang, Chaoping Xing, Tianjian Chen, Qiang Yang:
A Secure Federated Transfer Learning Framework. IEEE Intell. Syst. 35(4): 70-82 (2020) - [j153]Wei Yang Bryan Lim, Zehui Xiong, Chunyan Miao, Dusit Niyato, Qiang Yang, Cyril Leung, H. Vincent Poor:
Hierarchical Incentive Mechanism Design for Federated Machine Learning in Mobile Networks. IEEE Internet Things J. 7(10): 9575-9588 (2020) - [j152]Qiang Yang:
Message From the Outgoing Editor-in-Chief. IEEE Trans. Big Data 6(1): 1 (2020) - [j151]Jindong Wang, Yiqiang Chen, Wenjie Feng, Han Yu, Meiyu Huang, Qiang Yang:
Transfer Learning with Dynamic Distribution Adaptation. ACM Trans. Intell. Syst. Technol. 11(1): 6:1-6:25 (2020) - 2019
- [j150]Leye Wang, Xu Geng, Xiaojuan Ma, Daqing Zhang, Qiang Yang:
Ridesharing car detection by transfer learning. Artif. Intell. 273: 1-18 (2019) - [j149]Xiang Zhang, Qiang Yang:
Transfer Hierarchical Attention Network for Generative Dialog System. Int. J. Autom. Comput. 16(6): 720-736 (2019) - [j148]Jesse Read, Albert Bifet, Wei Fan, Qiang Yang, Philip S. Yu:
Introduction to the special issue on Big Data, IoT Streams and Heterogeneous Source Mining. Int. J. Data Sci. Anal. 8(3): 221-222 (2019) - [j147]Bo Han, Quanming Yao, Yuangang Pan, Ivor W. Tsang, Xiaokui Xiao, Qiang Yang, Masashi Sugiyama:
Millionaire: a hint-guided approach for crowdsourcing. Mach. Learn. 108(5): 831-858 (2019) - [j146]Qiang Yang:
State of the Journal. IEEE Trans. Big Data 5(1): 1 (2019) - [j145]Qiang Yang, Yang Liu, Tianjian Chen, Yongxin Tong:
Federated Machine Learning: Concept and Applications. ACM Trans. Intell. Syst. Technol. 10(2): 12:1-12:19 (2019) - [j144]Weike Pan, Qiang Yang, Wanling Cai, Yaofeng Chen, Qing Zhang, Xiaogang Peng, Zhong Ming:
Transfer to Rank for Heterogeneous One-Class Collaborative Filtering. ACM Trans. Inf. Syst. 37(1): 10:1-10:20 (2019) - 2018
- [j143]Leye Wang, Bin Guo, Qiang Yang:
Smart City Development With Urban Transfer Learning. Computer 51(12): 32-41 (2018) - [j142]Qiang Yang:
State of the Journal Editorial. IEEE Trans. Big Data 4(1): 1 (2018) - 2017
- [j141]Lili Zhao, Sinno Jialin Pan, Qiang Yang:
A unified framework of active transfer learning for cross-system recommendation. Artif. Intell. 245: 38-55 (2017) - [j140]Weike Pan, Qiang Yang, Charu C. Aggarwal, Christoph Koch:
Big Data. IEEE Intell. Syst. 32(2): 7-8 (2017) - [j139]Qiang Yang:
State of the Journal Editorial. IEEE Trans. Big Data 3(1): 1 (2017) - [j138]Weike Pan, Qiang Yang, Yuchao Duan, Ben Tan, Zhong Ming:
Transfer Learning for Behavior Ranking. ACM Trans. Intell. Syst. Technol. 8(5): 65:1-65:23 (2017) - 2016
- [j137]Qiang Yang:
Cross-Domain Data Fusion. Computer 49(4): 18 (2016) - [j136]Weike Pan, Qiang Yang, Yuchao Duan, Zhong Ming:
Transfer Learning for Semisupervised Collaborative Recommendation. ACM Trans. Interact. Intell. Syst. 6(2): 10:1-10:21 (2016) - [j135]Chen Luo, Jia Zeng, Mingxuan Yuan, Wenyuan Dai, Qiang Yang:
Telco User Activity Level Prediction with Massive Mobile Broadband Data. ACM Trans. Intell. Syst. Technol. 7(4): 63:1-63:30 (2016) - [j134]Ying Wei, Yangqiu Song, Yi Zhen, Bo Liu, Qiang Yang:
Heterogeneous Translated Hashing: A Scalable Solution Towards Multi-Modal Similarity Search. ACM Trans. Knowl. Discov. Data 10(4): 36:1-36:28 (2016) - [j133]Chuanren Liu, Kai Zhang, Hui Xiong, Guofei Jiang, Qiang Yang:
Temporal Skeletonization on Sequential Data: Patterns, Categorization, and Visualization. IEEE Trans. Knowl. Data Eng. 28(1): 211-223 (2016) - [j132]Hengjie Song, Yonghui Xu, Huaqing Min, Qingyao Wu, Wei Wei, Jianshu Weng, Xiaogang Han, Qiang Yang, Jialiang Shi, Jiaqian Gu, Chunyan Miao, Toyoaki Nishida:
Individual Judgments Versus Consensus: Estimating Query-URL Relevance. ACM Trans. Web 10(1): 3:1-3:21 (2016) - 2015
- [j131]Guangyuan Yang, Wei Jiang, Qiang Yang, Weichuan Yu:
PBOOST: a GPU-based tool for parallel permutation tests in genome-wide association studies. Bioinform. 31(9): 1460-1462 (2015) - [j130]Xueyang Hu, Mingxuan Yuan, Jianguo Yao, Yu Deng, Lei Chen, Qiang Yang, Haibing Guan, Jia Zeng:
Differential Privacy in Telco Big Data Platform. Proc. VLDB Endow. 8(12): 1692-1703 (2015) - [j129]Qiang Yang:
Introduction to the IEEE Transactions on Big Data. IEEE Trans. Big Data 1(1): 2-15 (2015) - [j128]Shu Kong, Zhuolin Jiang, Qiang Yang:
Modeling Neuron Selectivity Over Simple Midlevel Features for Image Classification. IEEE Trans. Image Process. 24(8): 2404-2414 (2015) - 2014
- [j127]Hankz Hankui Zhuo, Qiang Yang:
Action-model acquisition for planning via transfer learning. Artif. Intell. 212: 80-103 (2014) - [j126]Hankz Hankui Zhuo, Héctor Muñoz-Avila, Qiang Yang:
Learning hierarchical task network domains from partially observed plan traces. Artif. Intell. 212: 134-157 (2014) - [j125]Yuanchun Zhou, MingJie Tang, Weike Pan, Jinyan Li, Weihang Wang, Jing Shao, Liang Wu, Jianhui Li, Qiang Yang, Baoping Yan:
Bird Flu Outbreak Prediction via Satellite Tracking. IEEE Intell. Syst. 29(4): 10-17 (2014) - [j124]Mingxuan Yuan, Ke Deng, Jia Zeng, Yanhua Li, Bing Ni, Xiuqiang He, Fei Wang, Wenyuan Dai, Qiang Yang:
OceanST: A Distributed Analytic System for Large-Scale Spatiotemporal Mobile Broadband Data. Proc. VLDB Endow. 7(13): 1561-1564 (2014) - [j123]Ben Tan, Erheng Zhong, Evan Wei Xiang, Qiang Yang:
Multi-transfer: Transfer learning with multiple views and multiple sources. Stat. Anal. Data Min. 7(4): 282-293 (2014) - [j122]Erheng Zhong, Wei Fan, Qiang Yang:
User behavior learning and transfer in composite social networks. ACM Trans. Knowl. Discov. Data 8(1): 6:1-6:32 (2014) - [j121]Mingsheng Long, Jianmin Wang, Guiguang Ding, Dou Shen, Qiang Yang:
Transfer Learning with Graph Co-Regularization. IEEE Trans. Knowl. Data Eng. 26(7): 1805-1818 (2014) - 2013
- [j120]Weike Pan, Qiang Yang:
Transfer learning in heterogeneous collaborative filtering domains. Artif. Intell. 197: 39-55 (2013) - [j119]Qiang Yang, Feng Zhao:
Artificial Intelligence on Mobile Devices: An Introduction to the Special Issue. AI Mag. 34(2): 9-10 (2013) - [j118]Yin Zhu, Erheng Zhong, Zhongqi Lu, Qiang Yang:
Feature engineering for semantic place prediction. Pervasive Mob. Comput. 9(6): 772-783 (2013) - [j117]Erheng Zhong, Ben Tan, Kaixiang Mo, Qiang Yang:
User demographics prediction based on mobile data. Pervasive Mob. Comput. 9(6): 823-837 (2013) - [j116]Xiang Wan, Can Yang, Qiang Yang, Hongyu Zhao, Weichuan Yu:
HapBoost: A Fast Approach to Boosting Haplotype Association Analyses in Genome-Wide Association Studies. IEEE ACM Trans. Comput. Biol. Bioinform. 10(1): 207-212 (2013) - 2012
- [j115]Vincent Wenchen Zheng, Yu Zheng, Xing Xie, Qiang Yang:
Towards mobile intelligence: Learning from GPS history data for collaborative recommendation. Artif. Intell. 184-185: 17-37 (2012) - [j114]Qian Xu, Evan Wei Xiang, Qiang Yang, Jiachun Du, Jieping Zhong:
SMS Spam Detection Using Noncontent Features. IEEE Intell. Syst. 27(6): 44-51 (2012) - [j113]Marcel Worring, Paul Sajda, Simone Santini, David A. Shamma, Alan F. Smeaton, Qiang Yang:
Where Is the User in Multimedia Retrieval? IEEE Multim. 19(4): 6-10 (2012) - [j112]Qiang Yang, Jie Tang, Lei Zhang, Bin Cao:
Preface. J. Comput. Sci. Technol. 27(3): 451-454 (2012) - [j111]Jeffrey Junfeng Pan, Sinno Jialin Pan, Jie Yin, Lionel M. Ni, Qiang Yang:
Tracking Mobile Users in Wireless Networks via Semi-Supervised Colocalization. IEEE Trans. Pattern Anal. Mach. Intell. 34(3): 587-600 (2012) - [j110]Masashi Sugiyama, Qiang Yang:
Introduction to the Special Section on the 2nd Asia Conference on Machine Learning (ACML 2010). ACM Trans. Intell. Syst. Technol. 3(2): 27:1 (2012) - 2011
- [j109]Qiang Yang, Vincent Wenchen Zheng, Bin Li, Hankz Hankui Zhuo:
Transfer Learning by Reusing Structured Knowledge. AI Mag. 32(2): 95-106 (2011) - [j108]Can Yang, Xiaowei Zhou, Xiang Wan, Qiang Yang, Hong Xue, Weichuan Yu:
Identifying disease-associated SNP clusters via contiguous outlier detection. Bioinform. 27(18): 2578-2585 (2011) - [j107]Can Yang, Xiang Wan, Qiang Yang, Hong Xue, Nelson L. S. Tang, Weichuan Yu:
A hidden two-locus disease association pattern in genome-wide association studies. BMC Bioinform. 12: 156 (2011) - [j106]Can Yang, Xiang Wan, Zengyou He, Qiang Yang, Hong Xue, Weichuan Yu:
The choice of null distributions for detecting gene-gene interactions in genome-wide association studies. BMC Bioinform. 12(S-1): S26 (2011) - [j105]Bin Cao, Qiang Yang, Jian-Tao Sun, Zheng Chen:
Learning bidirectional asymmetric similarity for collaborative filtering via matrix factorization. Data Min. Knowl. Discov. 22(3): 393-418 (2011) - [j104]Qian Xu, Hong Xue, Qiang Yang:
Multi-platform gene-expression mining and marker gene analysis. Int. J. Data Min. Bioinform. 5(5): 485-503 (2011) - [j103]Qian Xu, Qiang Yang:
A Survey of Transfer and Multitask Learning in Bioinformatics. J. Comput. Sci. Eng. 5(3): 257-268 (2011) - [j102]Jian Pei, João Gama, Qiang Yang, Ronghuai Huang, Xue Li:
Best papers from the Fifth International Conference on Advanced Data Mining and Applications (ADMA 2009). Knowl. Inf. Syst. 27(2): 163-164 (2011) - [j101]Derek Hao Hu, Vincent Wenchen Zheng, Qiang Yang:
Cross-domain activity recognition via transfer learning. Pervasive Mob. Comput. 7(3): 344-358 (2011) - [j100]Qiang Yang:
A conversation with the Chinese KDD leaders. SIGKDD Explor. 13(2): 72 (2011) - [j99]Qian Xu, Sinno Jialin Pan, Hannah Hong Xue, Qiang Yang:
Multitask Learning for Protein Subcellular Location Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 8(3): 748-759 (2011) - [j98]Daqing Zhang, Matthai Philipose, Qiang Yang:
Introduction to the special issue on intelligent systems for activity recognition. ACM Trans. Intell. Syst. Technol. 2(1): 1:1-1:4 (2011) - [j97]Carla P. Gomes, Qiang Yang:
Introduction to special issue on computational sustainability. ACM Trans. Intell. Syst. Technol. 2(4): 31:1-31:2 (2011) - [j96]Jun Yan, Ning Liu, Shuicheng Yan, Qiang Yang, Weiguo Fan, Wei Wei, Zheng Chen:
Trace-Oriented Feature Analysis for Large-Scale Text Data Dimension Reduction. IEEE Trans. Knowl. Data Eng. 23(7): 1103-1117 (2011) - [j95]Sinno Jialin Pan, Ivor W. Tsang, James T. Kwok, Qiang Yang:
Domain Adaptation via Transfer Component Analysis. IEEE Trans. Neural Networks 22(2): 199-210 (2011) - [j94]Hui Xue, Songcan Chen, Qiang Yang:
Structural Regularized Support Vector Machine: A Framework for Structural Large Margin Classifier. IEEE Trans. Neural Networks 22(4): 573-587 (2011) - 2010
- [j93]Hankz Hankui Zhuo, Qiang Yang, Derek Hao Hu, Lei Li:
Learning complex action models with quantifiers and logical implications. Artif. Intell. 174(18): 1540-1569 (2010) - [j92]Xiang Wan, Can Yang, Qiang Yang, Hong Xue, Nelson L. S. Tang, Weichuan Yu:
Predictive rule inference for epistatic interaction detection in genome-wide association studies. Bioinform. 26(1): 30-37 (2010) - [j91]Xiang Wan, Can Yang, Qiang Yang, Hong Xue, Nelson L. S. Tang, Weichuan Yu:
Detecting two-locus associations allowing for interactions in genome-wide association studies. Bioinform. 26(20): 2517-2525 (2010) - [j90]Can Yang, Xiang Wan, Qiang Yang, Hong Xue, Weichuan Yu:
Identifying main effects and epistatic interactions from large-scale SNP data via adaptive group Lasso. BMC Bioinform. 11(S-1): 18 (2010) - [j89]Qi Liu, Qian Xu, Vincent Wenchen Zheng, Hong Xue, Zhi-Wei Cao, Qiang Yang:
Multi-task learning for cross-platform siRNA efficacy prediction: an in-silico study. BMC Bioinform. 11: 181 (2010) - [j88]Qi Liu, Juan Cui, Qiang Yang, Ying Xu:
In-silico prediction of blood-secretory human proteins using a ranking algorithm. BMC Bioinform. 11: 250 (2010) - [j87]Wen Gao, Yonghong Tian, Tiejun Huang, Qiang Yang:
Vlogging: A survey of videoblogging technology on the web. ACM Comput. Surv. 42(4): 15:1-15:57 (2010) - [j86]Shichao Zhang, Qingfeng Chen, Qiang Yang:
Acquiring knowledge from inconsistent data sources through weighting. Data Knowl. Eng. 69(8): 779-799 (2010) - [j85]Flora S. Tsai, Minoru Etoh, Xing Xie, Wang-Chien Lee, Qiang Yang:
Introduction to Mobile Information Retrieval. IEEE Intell. Syst. 25(1): 11-15 (2010) - [j84]Qiang Yang, Zhi-Hua Zhou, Wenji Mao, Wei Li, Nathan Nan Liu:
Social Learning. IEEE Intell. Syst. 25(4): 9-11 (2010) - [j83]Qiang Yang:
Three challenges in data mining. Frontiers Comput. Sci. China 4(3): 324-333 (2010) - [j82]Qiang Yang:
Introduction to ACM TIST. ACM Trans. Intell. Syst. Technol. 1(1): 1:1-1:2 (2010) - [j81]Ke Zhou, Gui-Rong Xue, Qiang Yang, Yong Yu:
Learning with Positive and Unlabeled Examples Using Topic-Sensitive PLSA. IEEE Trans. Knowl. Data Eng. 22(1): 46-58 (2010) - [j80]Evan Wei Xiang, Bin Cao, Derek Hao Hu, Qiang Yang:
Bridging Domains Using World Wide Knowledge for Transfer Learning. IEEE Trans. Knowl. Data Eng. 22(6): 770-783 (2010) - [j79]Sinno Jialin Pan, Qiang Yang:
A Survey on Transfer Learning. IEEE Trans. Knowl. Data Eng. 22(10): 1345-1359 (2010) - 2009
- [j78]Can Yang, Zengyou He, Xiang Wan, Qiang Yang, Hong Xue, Weichuan Yu:
SNPHarvester: a filtering-based approach for detecting epistatic interactions in genome-wide association studies. Bioinform. 25(4): 504-511 (2009) - [j77]Xiang Wan, Can Yang, Qiang Yang, Hong Xue, Nelson L. S. Tang, Weichuan Yu:
MegaSNPHunter: a learning approach to detect disease predisposition SNPs and high level interactions in genome wide association study. BMC Bioinform. 10 (2009) - [j76]Qian Xu, Derek Hao Hu, Hong Xue, Weichuan Yu, Qiang Yang:
Semi-supervised protein subcellular localization. BMC Bioinform. 10(S-1) (2009) - [j75]Lionel M. Ni, Yanmin Zhu, Jian Ma, Qiong Luo, Yunhao Liu, S. C. Cheung, Qiang Yang, Minglu Li, Min-You Wu:
Semantic Sensor Net: an extensible framework. Int. J. Ad Hoc Ubiquitous Comput. 4(3/4): 157-167 (2009) - [j74]Zhi-Hua Zhou, Hang Li, Qiang Yang:
Editorial: special issue on selected papers of PAKDD 2007. Knowl. Inf. Syst. 19(2): 131-132 (2009) - [j73]Hui Xue, Songcan Chen, Qiang Yang:
Discriminatively regularized least-squares classification. Pattern Recognit. 42(1): 93-104 (2009) - [j72]Gui-Rong Xue, Jie Han, Yong Yu, Qiang Yang:
User language model for collaborative personalized search. ACM Trans. Inf. Syst. 27(2): 11:1-11:28 (2009) - 2008
- [j71]Qiang Yang, Sinno Jialin Pan, Vincent Wenchen Zheng:
Estimating Location Using Wi-Fi. IEEE Intell. Syst. 23(1): 8-13 (2008) - [j70]Xindong Wu, Vipin Kumar, J. Ross Quinlan, Joydeep Ghosh, Qiang Yang, Hiroshi Motoda, Geoffrey J. McLachlan, Angus F. M. Ng, Bing Liu, Philip S. Yu, Zhi-Hua Zhou, Michael S. Steinbach, David J. Hand, Dan Steinberg:
Top 10 algorithms in data mining. Knowl. Inf. Syst. 14(1): 1-37 (2008) - [j69]Ben Niu, Qiang Yang, Simon Chi-Keung Shiu, Sankar K. Pal:
Two-dimensional Laplacianfaces method for face recognition. Pattern Recognit. 41(10): 3237-3243 (2008) - [j68]Jie Yin, Qiang Yang, Jeffrey Junfeng Pan:
Sensor-Based Abnormal Human-Activity Detection. IEEE Trans. Knowl. Data Eng. 20(8): 1082-1090 (2008) - [j67]Jie Yin, Qiang Yang, Lionel M. Ni:
Learning Adaptive Temporal Radio Maps for Signal-Strength-Based Location Estimation. IEEE Trans. Mob. Comput. 7(7): 869-883 (2008) - [j66]Jie Yin, Qiang Yang, Dou Shen, Ze-Nian Li:
Activity recognition via user-trace segmentation. ACM Trans. Sens. Networks 4(4): 19:1-19:34 (2008) - 2007
- [j65]Qiang Yang, Kangheng Wu, Yunfei Jiang:
Learning action models from plan examples using weighted MAX-SAT. Artif. Intell. 171(2-3): 107-143 (2007) - [j64]Rong Pan, Qiang Yang, Sinno Jialin Pan:
Mining competent case bases for case-based reasoning. Artif. Intell. 171(16-17): 1039-1068 (2007) - [j63]Jeffrey Junfeng Pan, Qiang Yang, Yiming Yang, Lei Li, Frances Tianyi Li, George Wenmin Li:
Cost-Sensitive-Data Preprocessing for Mining Customer Relationship Management Databases. IEEE Intell. Syst. 22(1): 46-51 (2007) - [j62]Longbing Cao, Chengqi Zhang, Qiang Yang, David A. Bell, Michail Vlachos, Bahar Taneri, Eamonn J. Keogh, Philip S. Yu, Ning Zhong, Mafruz Zaman Ashrafi, David Taniar, Eugene Dubossarsky, Warwick Graco:
Domain-Driven, Actionable Knowledge Discovery. IEEE Intell. Syst. 22(4): 78-88 (2007) - [j61]Dou Shen, Qiang Yang, Zheng Chen:
Noise reduction through summarization for Web-page classification. Inf. Process. Manag. 43(6): 1735-1747 (2007) - [j60]Chunyan Miao, Qiang Yang, Haijing Fang, Angela Goh:
A cognitive approach for agent-based personalized recommendation. Knowl. Based Syst. 20(4): 397-405 (2007) - [j59]Kangheng Wu, Qiang Yang, Yunfei Jiang:
ARMS: an automatic knowledge engineering tool for learning action models for AI planning. Knowl. Eng. Rev. 22(2): 135-152 (2007) - [j58]Shuicheng Yan, Dong Xu, Benyu Zhang, HongJiang Zhang, Qiang Yang, Stephen Lin:
Graph Embedding and Extensions: A General Framework for Dimensionality Reduction. IEEE Trans. Pattern Anal. Mach. Intell. 29(1): 40-51 (2007) - [j57]Shuicheng Yan, Dong Xu, Qiang Yang, Lei Zhang, Xiaoou Tang, HongJiang Zhang:
Multilinear Discriminant Analysis for Face Recognition. IEEE Trans. Image Process. 16(1): 212-220 (2007) - [j56]Jinyan Li, Qiang Yang:
Strong Compound-Risk Factors: Efficient Discovery Through Emerging Patterns and Contrast Sets. IEEE Trans. Inf. Technol. Biomed. 11(5): 544-552 (2007) - [j55]Qiang Yang, Jie Yin, Charles X. Ling, Rong Pan:
Extracting Actionable Knowledge from Decision Trees. IEEE Trans. Knowl. Data Eng. 19(1): 43-56 (2007) - [j54]Xiaoyong Chai, Qiang Yang:
Reducing the Calibration Effort for Probabilistic Indoor Location Estimation. IEEE Trans. Mob. Comput. 6(6): 649-662 (2007) - 2006
- [j53]Charles X. Ling, Qiang Yang:
Discovering Classification from Data of Multiple Sources. Data Min. Knowl. Discov. 12(2-3): 181-201 (2006) - [j52]Gui-Rong Xue, Yong Yu, Dou Shen, Qiang Yang, Hua-Jun Zeng, Zheng Chen:
Reinforcing Web-object Categorization Through Interrelationships. Data Min. Knowl. Discov. 12(2-3): 229-248 (2006) - [j51]Jun Yan, Ning Liu, Qiang Yang, Benyu Zhang, QianSheng Cheng, Zheng Chen:
Mining Adaptive Ratio Rules from Distributed Data Sources. Data Min. Knowl. Discov. 12(2-3): 249-273 (2006) - [j50]Qiang Yang, Xindong Wu:
10 Challenging Problems in Data Mining Research. Int. J. Inf. Technol. Decis. Mak. 5(4): 597-604 (2006) - [j49]Jun Yan, Benyu Zhang, Shuicheng Yan, Ning Liu, Qiang Yang, QianSheng Cheng, Hua Li, Zheng Chen, Wei-Ying Ma:
A scalable supervised algorithm for dimensionality reduction on streaming data. Inf. Sci. 176(14): 2042-2065 (2006) - [j48]Jun Yan, Benyu Zhang, Ning Liu, Shuicheng Yan, QianSheng Cheng, Weiguo Fan, Qiang Yang, Wensi Xi, Zheng Chen:
Effective and Efficient Dimensionality Reduction for Large-Scale and Streaming Data Preprocessing. IEEE Trans. Knowl. Data Eng. 18(2): 320-333 (2006) - [j47]Qiang Yang, Charles X. Ling, Xiaoyong Chai, Rong Pan:
Test-Cost Sensitive Classification on Data with Missing Values. IEEE Trans. Knowl. Data Eng. 18(5): 626-638 (2006) - [j46]Yiqiang Chen, Qiang Yang, Jie Yin, Xiaoyong Chai:
Power-Efficient Access-Point Selection for Indoor Location Estimation. IEEE Trans. Knowl. Data Eng. 18(7): 877-888 (2006) - [j45]Charles X. Ling, Victor S. Sheng, Qiang Yang:
Test Strategies for Cost-Sensitive Decision Trees. IEEE Trans. Knowl. Data Eng. 18(8): 1055-1067 (2006) - [j44]Jeffrey Junfeng Pan, James T. Kwok, Qiang Yang, Yiqiang Chen:
Multidimensional Vector Regression for Accurate and Low-Cost Location Estimation in Pervasive Computing. IEEE Trans. Knowl. Data Eng. 18(9): 1181-1193 (2006) - [j43]Yonghong Tian, Qiang Yang, Tiejun Huang, Charles X. Ling, Wen Gao:
Learning Contextual Dependency Network Models for Link-Based Classification. IEEE Trans. Knowl. Data Eng. 18(11): 1482-1496 (2006) - [j42]Dou Shen, Rong Pan, Jian-Tao Sun, Jeffrey Junfeng Pan, Kangheng Wu, Jie Yin, Qiang Yang:
Query enrichment for web-query classification. ACM Trans. Inf. Syst. 24(3): 320-352 (2006) - 2005
- [j41]Dequan Li, Yan Fu, Ruixiang Sun, Charles X. Ling, Yonggang Wei, Hu Zhou, Rong Zeng, Qiang Yang, Simin He, Wen Gao:
pFind: a novel database-searching software system for automated peptide and protein identification via tandem mass spectrometry. Bioinform. 21(13): 3049-3050 (2005) - [j40]Ke Wang, Senqiang Zhou, Qiang Yang, Jack Man Shun Yeung:
Mining Customer Value: From Association Rules to Direct Marketing. Data Min. Knowl. Discov. 11(1): 57-79 (2005) - [j39]Jinyan Li, Limsoon Wong, Qiang Yang:
Guest Editors' Introduction: Data Mining in Bioinformatics. IEEE Intell. Syst. 20(6): 16-18 (2005) - [j38]Chenyong Hu, Benyu Zhang, Yongji Wang, Shuicheng Yan, Zheng Chen, Qing Wang, Qiang Yang:
Learning quantifiable associations via principal sparse non-negative matrix factorization. Intell. Data Anal. 9(6): 603-620 (2005) - [j37]David W. Aha, David McSherry, Qiang Yang:
Advances in conversational case-based reasoning. Knowl. Eng. Rev. 20(3): 247-254 (2005) - [j36]Dou Shen, Rong Pan, Jian-Tao Sun, Jeffrey Junfeng Pan, Kangheng Wu, Jie Yin, Qiang Yang:
Q2C@UST: our winning solution to query classification in KDDCUP 2005. SIGKDD Explor. 7(2): 100-110 (2005) - [j35]Charles X. Ling, William Stafford Noble, Qiang Yang:
Guest Editors' Introduction to the Special Issue: Machine Learning for Bioinformatics - Part 1. IEEE ACM Trans. Comput. Biol. Bioinform. 2(2): 81-82 (2005) - [j34]Charles X. Ling, William Stafford Noble, Qiang Yang:
Guest Editor's Introduction to the Special Issue: Machine Learning for Bioinformatics-Part 2. IEEE ACM Trans. Comput. Biol. Bioinform. 2(3): 177-178 (2005) - 2004
- [j33]Yan Fu, Qiang Yang, Ruixiang Sun, Dequan Li, Rong Zeng, Charles X. Ling, Wen Gao:
Exploiting the kernel trick to correlate fragment ions for peptide identification via tandem mass spectrometry. Bioinform. 20(12): 1948-1954 (2004) - [j32]Qiang Yang, Tianyi Li, Ke Wang:
Building Association-Rule Based Sequential Classifiers for Web-Document Prediction. Data Min. Knowl. Discov. 8(3): 253-273 (2004) - [j31]Shichao Zhang, Chengqi Zhang, Qiang Yang:
Guest Editors' Introduction: Information Enhancement for Data Mining. IEEE Intell. Syst. 19(2): 12-13 (2004) - [j30]Qiang Yang, Craig A. Knoblock, Xindong Wu:
Guest Editors' Introduction: Mining Actionable Knowledge on the Web. IEEE Intell. Syst. 19(6): 30-31 (2004) - [j29]Yan Fu, Ruixiang Sun, Qiang Yang, Simin He, Chunli Wang, Haipeng Wang, Shiguang Shan, Junfa Liu, Wen Gao:
A block-based support vector machine approach to the protein homology prediction task in KDD Cup 2004. SIGKDD Explor. 6(2): 120-124 (2004) - 2003
- [j28]Shichao Zhang, Chengqi Zhang, Qiang Yang:
Data Preparation for Data Mining. Appl. Artif. Intell. 17(5-6): 375-381 (2003) - [j27]Qiang Yang, Tianyiian Li, Ke Wang:
Web-Log Cleaning for Constructing Sequential Classifiers. Appl. Artif. Intell. 17(5-6): 431-441 (2003) - [j26]Ruimin Shen, Peng Han, Fan Yang, Qiang Yang, Joshua Zhexue Huang:
Data Mining and Case-Based Reasoning for Distance Learning. Int. J. Distance Educ. Technol. 1(3): 46-58 (2003) - [j25]Qiang Yang, Joshua Zhexue Huang, Michael K. Ng:
A Data Cube Model for Prediction-Based Web Prefetching. J. Intell. Inf. Syst. 20(1): 1-30 (2003) - [j24]Qiang Yang, Henry Haining Zhang:
Web-Log Mining for Predictive Web Caching. IEEE Trans. Knowl. Data Eng. 15(4): 1050-1053 (2003) - [j23]Yi-Dong Shen, Jia-Huai You, Li-Yan Yuan, Samuel S. P. Shen, Qiang Yang:
A dynamic approach to characterizing termination of general logic programs. ACM Trans. Comput. Log. 4(4): 417-430 (2003) - [j22]Qiang Yang, Yong Wang, Zhong Zhang:
SANet: a service-agent network for call-center scheduling. IEEE Trans. Syst. Man Cybern. Part A 33(3): 396-406 (2003) - 2002
- [j21]Qiang Yang, Hui Wang, Wei Zhang:
Web-log Mining for Quantitative Temporal-Event Prediction. IEEE Intell. Informatics Bull. 1(1): 10-18 (2002) - [j20]Zhong Su, Qiang Yang, HongJiang Zhang, Xiaowei Xu, Yu Hen Hu, Shaoping Ma:
Correlation-Based Web Document Clustering for Adaptive Web Interface Design. Knowl. Inf. Syst. 4(2): 151-167 (2002) - 2001
- [j19]Qiang Yang, Jing Wu:
Enhancing the Effectiveness of Interactive Case-Based Reasoning with Clustering and Decision Forests. Appl. Intell. 14(1): 49-64 (2001) - [j18]David B. Leake, Barry Smyth, David C. Wilson, Qiang Yang:
Introduction to the Special Issue on Maintaining Case-Based Reasoning Systems. Comput. Intell. 17(2): 193-195 (2001) - [j17]Zhong Zhang, Qiang Yang:
Feature Weight Maintenance in Case Bases Using Introspective Learning. J. Intell. Inf. Syst. 16(2): 95-116 (2001) - [j16]Sheng Li, Qiang Yang:
ActiveCBR: An Agent System That Integrates Case-Based Reasoning and Active Databases. Knowl. Inf. Syst. 3(2): 225-251 (2001) - [j15]Kirsti Racine, Qiang Yang:
Redundancy Detection in Semistructured Case Bases. IEEE Trans. Knowl. Data Eng. 13(3): 513-518 (2001) - [j14]Qiang Yang, Henry Haining Zhang:
Integrating Web Prefetching Using Prediction Models. World Wide Web 4(4): 299-321 (2001) - 1998
- [j13]Steven G. Woods, Qiang Yang:
Program Understanding as Constraint Satisfaction: Representation and Reasoning Techniques. Autom. Softw. Eng. 5(2): 147-181 (1998) - [j12]Alex Quilici, Qiang Yang, Steven Woods:
Applying Plan Recognition Algorithms To Program Understanding. Autom. Softw. Eng. 5(3): 347-372 (1998) - 1997
- [j11]Eugene Fink, Qiang Yang:
Automatically Selecting and Using Primary Effects in Planning: Theory and Experiments. Artif. Intell. 89(1-2): 285-315 (1997) - 1996
- [j10]Qiang Yang, Josh D. Tenenberg, Steven G. Woods:
On the Implenentation and Evaluation of ABTWEAK. Comput. Intell. 12: 307-330 (1996) - 1995
- [j9]Subbarao Kambhampati, Craig A. Knoblock, Qiang Yang:
Planning as Refinement Search: A Unified Framework for Evaluating Design Tradeoffs in Partial-Order Planning. Artif. Intell. 76(1-2): 167-238 (1995) - [j8]Craig A. Knoblock, Qiang Yang:
Relating the Performance of Partial-Order Planning Algorithms to Domain Features. SIGART Bull. 6(1): 8-15 (1995) - 1994
- [j7]Fahiem Bacchus, Qiang Yang:
Downward Refinement and the Efficiency of Hierarchical Problem Solving. Artif. Intell. 71(1): 43-100 (1994) - [j6]Qiang Yang, Cheryl Murray:
An Evaluation of the Temporal Coherence Heuristic in Partial-Order Planning. Comput. Intell. 10: 245-268 (1994) - 1992
- [j5]Raghu Karinthi, Dana S. Nau, Qiang Yang:
Handling feature interactions in process-planning. Appl. Artif. Intell. 6(4): 389-415 (1992) - [j4]David E. Foulser, Ming Li, Qiang Yang:
Theory and Algorithms for Plan Merging. Artif. Intell. 57(2-3): 143-181 (1992) - [j3]Qiang Yang:
A Theory of Conflict Resolution in Planning. Artif. Intell. 58(1-3): 361-392 (1992) - [j2]Qiang Yang, Dana S. Nau, James A. Hendler:
Merging Separately Generated Plans with Restricted Interactions. Comput. Intell. 8: 648-676 (1992) - 1990
- [j1]Qiang Yang:
Formalizing planning knowledge for hierarchical planning. Comput. Intell. 6: 12-24 (1990)
Conference and Workshop Papers
- 2024
- [c355]Dashan Gao, Sheng Wan, Lixin Fan, Xin Yao, Qiang Yang:
Complementary Knowledge Distillation for Robust and Privacy-Preserving Model Serving in Vertical Federated Learning. AAAI 2024: 19832-19839 - 2023
- [c354]Yansheng Wang, Yongxin Tong, Zimu Zhou, Ruisheng Zhang, Sinno Jialin Pan, Lixin Fan, Qiang Yang:
Distribution-Regularized Federated Learning on Non-IID Data. ICDE 2023: 2113-2125 - [c353]Hanlin Gu, Jiahuan Luo, Yan Kang, Lixin Fan, Qiang Yang:
FedPass: Privacy-Preserving Vertical Federated Deep Learning with Adaptive Obfuscation. IJCAI 2023: 3759-3767 - [c352]Yilun Jin, Kai Chen, Qiang Yang:
Transferable Graph Structure Learning for Graph-based Traffic Forecasting Across Cities. KDD 2023: 1032-1043 - [c351]Chuishi Meng, Yanhua Li, Yu Zheng, Jieping Ye, Qiang Yang, Philip S. Yu, Ouri Wolfson:
The 12th International Workshop on Urban Computing. KDD 2023: 5874-5875 - [c350]Mengmeng Kuang, Zhenhong Chen, Weiyan Wang, Lie Kang, Qiang Yang, Min Tang, Penghui Hao:
Multi-task Learning Based Keywords Weighted Siamese Model for Semantic Retrieval. PAKDD (3) 2023: 86-98 - [c349]Xingxing Tang, Hanlin Gu, Lixin Fan, Qiang Yang:
Achieving Provable Byzantine Fault-tolerance in a Semi-honest Federated Learning Setting. PAKDD (2) 2023: 415-427 - 2022
- [c348]Zelei Liu, Yuanyuan Chen, Yansong Zhao, Han Yu, Yang Liu, Renyi Bao, Jinpeng Jiang, Zaiqing Nie, Qian Xu, Qiang Yang:
Contribution-Aware Federated Learning for Smart Healthcare. AAAI 2022: 12396-12404 - [c347]Yinghua Zhang, Yangqiu Song, Kun Bai, Qiang Yang:
Cross-domain Cross-architecture Black-box Attacks on Fine-tuned Models with Transferred Evolutionary Strategies. CIKM 2022: 2661-2670 - [c346]Mengjing Chen, Yang Liu, Weiran Shen, Yiheng Shen, Pingzhong Tang, Qiang Yang:
A Mechanism Design Approach for Multi-party Machine Learning. FAW 2022: 248-268 - [c345]Liu Yang, Junxue Zhang, Di Chai, Leye Wang, Kun Guo, Kai Chen, Qiang Yang:
Practical and Secure Federated Recommendation with Personalized Mask. FL@IJCAI 2022: 33-45 - [c344]Yuezhou Wu, Yan Kang, Jiahuan Luo, Yuanqin He, Lixin Fan, Rong Pan, Qiang Yang:
FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated Learning. IJCAI 2022: 2334-2340 - [c343]Di Jiang, Yuan Cao, Qiang Yang:
On the Channel Pruning using Graph Convolution Network for Convolutional Neural Network Acceleration. IJCAI 2022: 3107-3113 - [c342]Di Chai, Leye Wang, Junxue Zhang, Liu Yang, Shuowei Cai, Kai Chen, Qiang Yang:
Practical Lossless Federated Singular Vector Decomposition over Billion-Scale Data. KDD 2022: 46-55 - [c341]Yilun Jin, Kai Chen, Qiang Yang:
Selective Cross-City Transfer Learning for Traffic Prediction via Source City Region Re-Weighting. KDD 2022: 731-741 - [c340]Chuishi Meng, Yanhua Li, Yu Zheng, Jieping Ye, Qiang Yang, Philip S. Yu, Ouri Wolfson:
The 11th International Workshop on Urban Computing. KDD 2022: 4886-4887 - [c339]Han Tian, Chaoliang Zeng, Zhenghang Ren, Di Chai, Junxue Zhang, Kai Chen, Qiang Yang:
Sphinx: Enabling Privacy-Preserving Online Learning over the Cloud. SP 2022: 2487-2501 - 2021
- [c338]Chaotao Chen, Di Jiang, Jinhua Peng, Rongzhong Lian, Chen Jason Zhang, Qian Xu, Lixin Fan, Qiang Yang:
A Health-friendly Speaker Verification System Supporting Mask Wearing. AAAI 2021: 16004-16006 - [c337]Danqing Zhang, Zheng Li, Tianyu Cao, Chen Luo, Tony Wu, Hanqing Lu, Yiwei Song, Bing Yin, Tuo Zhao, Qiang Yang:
QUEACO: Borrowing Treasures from Weakly-labeled Behavior Data for Query Attribute Value Extraction. CIKM 2021: 4362-4372 - [c336]Ding Sheng Ong, Chee Seng Chan, Kam Woh Ng, Lixin Fan, Qiang Yang:
Protecting Intellectual Property of Generative Adversarial Networks From Ambiguity Attacks. CVPR 2021: 3630-3639 - [c335]Guangneng Hu, Qiang Yang:
TrNews: Heterogeneous User-Interest Transfer Learning for News Recommendation. EACL 2021: 734-744 - [c334]Dingyuan Shi, Yongxin Tong, Zimu Zhou, Bingchen Song, Weifeng Lv, Qiang Yang:
Learning to Assign: Towards Fair Task Assignment in Large-Scale Ride Hailing. KDD 2021: 3549-3557 - [c333]Yuanfeng Song, Di Jiang, Xuefang Zhao, Qian Xu, Raymond Chi-Wing Wong, Lixin Fan, Qiang Yang:
L2RS: A Learning-to-Rescore Mechanism for Hybrid Speech Recognition. ACM Multimedia 2021: 1157-1166 - [c332]Yuanfeng Song, Xuefang Zhao, Di Jiang, Xiaoling Huang, Weiwei Zhao, Qian Xu, Raymond Chi-Wing Wong, Qiang Yang:
SmartSales: An AI-Powered Telemarketing Coaching System in FinTech. ACM Multimedia 2021: 2774-2776 - [c331]Yuanfeng Song, Di Jiang, Xuefang Zhao, Xiaoling Huang, Qian Xu, Raymond Chi-Wing Wong, Qiang Yang:
SmartMeeting: Automatic Meeting Transcription and Summarization for In-Person Conversations. ACM Multimedia 2021: 2777-2779 - 2020
- [c330]Yang Liu, Anbu Huang, Yun Luo, He Huang, Youzhi Liu, Yuanyuan Chen, Lican Feng, Tianjian Chen, Han Yu, Qiang Yang:
FedVision: An Online Visual Object Detection Platform Powered by Federated Learning. AAAI 2020: 13172-13179 - [c329]Han Yu, Zelei Liu, Yang Liu, Tianjian Chen, Mingshu Cong, Xi Weng, Dusit Niyato, Qiang Yang:
A Fairness-aware Incentive Scheme for Federated Learning. AIES 2020: 393-399 - [c328]Lixin Fan, Chang Liu, Yuhao Zhou, Tianyu Zhang, Qiang Yang:
Interpreting and Evaluating Black Box Models in a Customizable Way. IEEE BigData 2020: 5435-5440 - [c327]Yexin Li, Yu Zheng, Qiang Yang:
Cooperative Multi-Agent Reinforcement Learning in Express System. CIKM 2020: 805-814 - [c326]Anbu Huang, Yuanyuan Chen, Yang Liu, Tianjian Chen, Qiang Yang:
RPN: A Residual Pooling Network for Efficient Federated Learning. ECAI 2020: 1223-1229 - [c325]Zheng Li, Mukul Kumar, William Headden, Bing Yin, Ying Wei, Yu Zhang, Qiang Yang:
Learn to Cross-lingual Transfer with Meta Graph Learning Across Heterogeneous Languages. EMNLP (1) 2020: 2290-2301 - [c324]Guangneng Hu, Qiang Yang:
PrivNet: Safeguarding Private Attributes in Transfer Learning for Recommendation. EMNLP (Findings) 2020: 4506-4516 - [c323]Conghui Tan, Di Jiang, Jinhua Peng, Xueyang Wu, Qian Xu, Qiang Yang:
A De Novo Divide-and-Merge Paradigm for Acoustic Model Optimization in Automatic Speech Recognition. IJCAI 2020: 3709-3715 - [c322]Kang Loon Ng, Zichen Chen, Zelei Liu, Han Yu, Yang Liu, Qiang Yang:
A Multi-player Game for Studying Federated Learning Incentive Schemes. IJCAI 2020: 5279-5281 - [c321]Yinghua Zhang, Yangqiu Song, Jian Liang, Kun Bai, Qiang Yang:
Two Sides of the Same Coin: White-box and Black-box Attacks for Transfer Learning. KDD 2020: 2989-2997 - [c320]Rishabh Mehrotra, Ben Carterette, Yong Li, Quanming Yao, Chen Gao, James T. Kwok, Qiang Yang, Isabelle Guyon:
Advances in Recommender Systems: From Multi-stakeholder Marketplaces to Automated RecSys. KDD 2020: 3533-3534 - [c319]Yuanfeng Song, Di Jiang, Xiaoling Huang, Yawen Li, Qian Xu, Raymond Chi-Wing Wong, Qiang Yang:
GoldenRetriever: A Speech Recognition System Powered by Modern Information Retrieval. ACM Multimedia 2020: 4500-4502 - [c318]Wenzheng Feng, Jie Zhang, Yuxiao Dong, Yu Han, Huanbo Luan, Qian Xu, Qiang Yang, Evgeny Kharlamov, Jie Tang:
Graph Random Neural Networks for Semi-Supervised Learning on Graphs. NeurIPS 2020 - [c317]Liu Yang, Bo Liu, Leyu Lin, Feng Xia, Kai Chen, Qiang Yang:
Exploring Clustering of Bandits for Online Recommendation System. RecSys 2020: 120-129 - [c316]Ben Tan, Bo Liu, Vincent W. Zheng, Qiang Yang:
A Federated Recommender System for Online Services. RecSys 2020: 579-581 - [c315]Yinghua Zhang, Yu Zhang, Ying Wei, Kun Bai, Yangqiu Song, Qiang Yang:
Fisher Deep Domain Adaptation. SDM 2020: 469-477 - [c314]Yuanfei Luo, Hao Zhou, Wei-Wei Tu, Yuqiang Chen, Wenyuan Dai, Qiang Yang:
Network On Network for Tabular Data Classification in Real-world Applications. SIGIR 2020: 2317-2326 - 2019
- [c313]Xu Geng, Yaguang Li, Leye Wang, Lingyu Zhang, Qiang Yang, Jieping Ye, Yan Liu:
Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting. AAAI 2019: 3656-3663 - [c312]Yi-Qi Hu, Yang Yu, Wei-Wei Tu, Qiang Yang, Yuqiang Chen, Wenyuan Dai:
Multi-Fidelity Automatic Hyper-Parameter Tuning via Transfer Series Expansion. AAAI 2019: 3846-3853 - [c311]Zelei Liu, Han Yu, Leye Wang, Liang Hu, Qiang Yang:
Ethically Aligned Mobilization of Community Effort to Reposition Shared Bikes. AAAI 2019: 9983-9984 - [c310]Zelei Liu, Han Yu, Leye Wang, Liang Hu, Qiang Yang:
Social Mobilization to Reposition Indiscriminately Parked Shareable Bikes. AAMAS 2019: 2099-2101 - [c309]Qiang Yang:
Federated Recommendation Systems. IEEE BigData 2019: 1 - [c308]Dashan Gao, Yang Liu, Anbu Huang, Ce Ju, Han Yu, Qiang Yang:
Privacy-preserving Heterogeneous Federated Transfer Learning. IEEE BigData 2019: 2552-2559 - [c307]Di Jiang, Yuanfeng Song, Yongxin Tong, Xueyang Wu, Weiwei Zhao, Qian Xu, Qiang Yang:
Federated Topic Modeling. CIKM 2019: 1071-1080 - [c306]Hong Liu, Zhangjie Cao, Mingsheng Long, Jianmin Wang, Qiang Yang:
Separate to Adapt: Open Set Domain Adaptation via Progressive Separation. CVPR 2019: 2927-2936 - [c305]Zhangjie Cao, Kaichao You, Mingsheng Long, Jianmin Wang, Qiang Yang:
Learning to Transfer Examples for Partial Domain Adaptation. CVPR 2019: 2985-2994 - [c304]Yuanfeng Song, Di Jiang, Weiwei Zhao, Qian Xu, Raymond Chi-Wing Wong, Qiang Yang:
Chameleon: A Language Model Adaptation Toolkit for Automatic Speech Recognition of Conversational Speech. EMNLP/IJCNLP (3) 2019: 37-42 - [c303]Zheng Li, Xin Li, Ying Wei, Lidong Bing, Yu Zhang, Qiang Yang:
Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning. EMNLP/IJCNLP (1) 2019: 4589-4599 - [c302]Jindong Wang, Yiqiang Chen, Han Yu, Meiyu Huang, Qiang Yang:
Easy Transfer Learning By Exploiting Intra-Domain Structures. ICME 2019: 1210-1215 - [c301]Leye Wang, Xu Geng, Xiaojuan Ma, Feng Liu, Qiang Yang:
Cross-City Transfer Learning for Deep Spatio-Temporal Prediction. IJCAI 2019: 1893-1899 - [c300]Quanming Yao, Xiawei Guo, James T. Kwok, Wei-Wei Tu, Yuqiang Chen, Wenyuan Dai, Qiang Yang:
Privacy-Preserving Stacking with Application to Cross-organizational Diabetes Prediction. IJCAI 2019: 4114-4120 - [c299]Xiguang Wei, Quan Li, Yang Liu, Han Yu, Tianjian Chen, Qiang Yang:
Multi-Agent Visualization for Explaining Federated Learning. IJCAI 2019: 6572-6574 - [c298]Han Yu, Yang Liu, Xiguang Wei, Chuyu Zheng, Tianjian Chen, Qiang Yang, Xiong Peng:
Fair and Explainable Dynamic Engagement of Crowd Workers. IJCAI 2019: 6575-6577 - [c297]Yuanfeng Song, Di Jiang, Xueyang Wu, Qian Xu, Raymond Chi-Wing Wong, Qiang Yang:
Topic-Aware Dialogue Speech Recognition with Transfer Learning. INTERSPEECH 2019: 829-833 - [c296]Wenyi Xiao, Huan Zhao, Haojie Pan, Yangqiu Song, Vincent W. Zheng, Qiang Yang:
Beyond Personalization: Social Content Recommendation for Creator Equality and Consumer Satisfaction. KDD 2019: 235-245 - [c295]Yexin Li, Yu Zheng, Qiang Yang:
Efficient and Effective Express via Contextual Cooperative Reinforcement Learning. KDD 2019: 510-519 - [c294]Yuanfei Luo, Mengshuo Wang, Hao Zhou, Quanming Yao, Wei-Wei Tu, Yuqiang Chen, Wenyuan Dai, Qiang Yang:
AutoCross: Automatic Feature Crossing for Tabular Data in Real-World Applications. KDD 2019: 1936-1945 - [c293]Yinghua Zhang, Yu Zhang, Qiang Yang:
Parameter Transfer Unit for Deep Neural Networks. PAKDD (2) 2019: 82-95 - [c292]George Trimponias, Xiaojuan Ma, Qiang Yang:
Rating Worker Skills and Task Strains in Collaborative Crowd Computing: A Competitive Perspective. WWW 2019: 1853-1863 - [c291]Guangneng Hu, Yu Zhang, Qiang Yang:
Transfer Meets Hybrid: A Synthetic Approach for Cross-Domain Collaborative Filtering with Text. WWW 2019: 2822-2829 - 2018
- [c290]Bo Liu, Ying Wei, Yu Zhang, Zhixian Yan, Qiang Yang:
Transferable Contextual Bandit for Cross-Domain Recommendation. AAAI 2018: 3619-3626 - [c289]Kaixiang Mo, Yu Zhang, Shuangyin Li, Jiajun Li, Qiang Yang:
Personalizing a Dialogue System With Transfer Reinforcement Learning. AAAI 2018: 5317-5324 - [c288]Zheng Li, Ying Wei, Yu Zhang, Qiang Yang:
Hierarchical Attention Transfer Network for Cross-Domain Sentiment Classification. AAAI 2018: 5852-5859 - [c287]Yongqing Zheng, Han Yu, Lizhen Cui, Chunyan Miao, Cyril Leung, Qiang Yang:
SmartHS: An AI Platform for Improving Government Service Provision. AAAI 2018: 7704-7712 - [c286]Guangneng Hu, Yu Zhang, Qiang Yang:
CoNet: Collaborative Cross Networks for Cross-Domain Recommendation. CIKM 2018: 667-676 - [c285]Di Chai, Leye Wang, Qiang Yang:
Bike flow prediction with multi-graph convolutional networks. SIGSPATIAL/GIS 2018: 397-400 - [c284]Han Yu, Chunyan Miao, Lizhen Cui, Yiqiang Chen, Simon Fauvel, Qiang Yang:
Opportunistic Work-Rest Scheduling for Productive Aging. HCI (14) 2018: 413-428 - [c283]Ying Wei, Yu Zhang, Junzhou Huang, Qiang Yang:
Transfer Learning via Learning to Transfer. ICML 2018: 5072-5081 - [c282]Han Yu, Zhiqi Shen, Chunyan Miao, Cyril Leung, Victor R. Lesser, Qiang Yang:
Building Ethics into Artificial Intelligence. IJCAI 2018: 5527-5533 - [c281]Guangneng Hu, Yu Zhang, Qiang Yang:
CoNet: Collaborative Cross Networks for Cross-Domain Recommendation. UMCit@KDD 2018: 14-27 - [c280]Yexin Li, Yu Zheng, Qiang Yang:
Dynamic Bike Reposition: A Spatio-Temporal Reinforcement Learning Approach. KDD 2018: 1724-1733 - [c279]Foster J. Provost, James Hodson, Jeannette M. Wing, Qiang Yang, Jennifer Neville:
Societal Impact of Data Science and Artificial Intelligence. KDD 2018: 2872-2873 - [c278]Yu Zhang, Ying Wei, Qiang Yang:
Learning to Multitask. NeurIPS 2018: 5776-5787 - [c277]Hao Peng, Jianxin Li, Yu He, Yaopeng Liu, Mengjiao Bao, Lihong Wang, Yangqiu Song, Qiang Yang:
Large-Scale Hierarchical Text Classification with Recursively Regularized Deep Graph-CNN. WWW 2018: 1063-1072 - 2017
- [c276]Zhangjie Cao, Mingsheng Long, Jianmin Wang, Qiang Yang:
Transitive Hashing Network for Heterogeneous Multimedia Retrieval. AAAI 2017: 81-87 - [c275]Ben Tan, Yu Zhang, Sinno Jialin Pan, Qiang Yang:
Distant Domain Transfer Learning. AAAI 2017: 2604-2610 - [c274]Yu Zhang, Qiang Yang:
Learning Sparse Task Relations in Multi-Task Learning. AAAI 2017: 2914-2920 - [c273]Qiang Yang:
When Deep Learning Meets Transfer Learning. CIKM 2017: 5 - [c272]Zheng Li, Yu Zhang, Ying Wei, Yuxiang Wu, Qiang Yang:
End-to-End Adversarial Memory Network for Cross-domain Sentiment Classification. IJCAI 2017: 2237-2243 - [c271]Bo Liu, Ying Wei, Yu Zhang, Qiang Yang:
Deep Neural Networks for High Dimension, Low Sample Size Data. IJCAI 2017: 2287-2293 - [c270]Tongliang Liu, Qiang Yang, Dacheng Tao:
Understanding How Feature Structure Transfers in Transfer Learning. IJCAI 2017: 2365-2371 - [c269]Yongxin Tong, Yuqiang Chen, Zimu Zhou, Lei Chen, Jie Wang, Qiang Yang, Jieping Ye, Weifeng Lv:
The Simpler The Better: A Unified Approach to Predicting Original Taxi Demands based on Large-Scale Online Platforms. KDD 2017: 1653-1662 - [c268]Jixiong Liu, Jiakun Shi, Wanling Cai, Bo Liu, Weike Pan, Qiang Yang, Zhong Ming:
Transfer Learning from APP Domain to News Domain for Dual Cold-Start Recommendation. RecSysKTL 2017: 38-41 - 2016
- [c267]Ying Wei, Yin Zhu, Cane Wing-ki Leung, Yangqiu Song, Qiang Yang:
Instilling Social to Physical: Co-Regularized Heterogeneous Transfer Learning. AAAI 2016: 1338-1344 - [c266]Zihan Zhang, Xiaoming Jin, Lianghao Li, Guiguang Ding, Qiang Yang:
Multi-Domain Active Learning for Recommendation. AAAI 2016: 2358-2364 - [c265]Han Yu, Chunyan Miao, Zhiqi Shen, Jun Lin, Cyril Leung, Qiang Yang:
Infusing Human Factors into Algorithmic Crowdsourcing. AAAI 2016: 4062-4064 - [c264]Zhongqi Lu, Sinno Jialin Pan, Yong Li, Jie Jiang, Qiang Yang:
Collaborative Evolution for User Profiling in Recommender Systems. IJCAI 2016: 3804-3810 - [c263]Lili Zhao, Zhongqi Lu, Sinno Jialin Pan, Qiang Yang:
Matrix Factorization+ for Movie Recommendation. IJCAI 2016: 3945-3951 - [c262]Yue Cao, Mingsheng Long, Jianmin Wang, Qiang Yang, Philip S. Yu:
Deep Visual-Semantic Hashing for Cross-Modal Retrieval. KDD 2016: 1445-1454 - [c261]Chen Chen, Cewu Lu, Qixing Huang, Qiang Yang, Dimitrios Gunopulos, Leonidas J. Guibas:
City-Scale Map Creation and Updating using GPS Collections. KDD 2016: 1465-1474 - [c260]Ying Wei, Yu Zheng, Qiang Yang:
Transfer Knowledge between Cities. KDD 2016: 1905-1914 - [c259]Shuangyin Li, Rong Pan, Yu Zhang, Qiang Yang:
Correlated Tag Learning in Topic Model. UAI 2016 - [c258]Jiezhong Qiu, Yixuan Li, Jie Tang, Zheng Lu, Hao Ye, Bo Chen, Qiang Yang, John E. Hopcroft:
The Lifecycle and Cascade of WeChat Social Messaging Groups. WWW 2016: 311-320 - 2015
- [c257]Zhongqi Lu, Zhicheng Dou, Jianxun Lian, Xing Xie, Qiang Yang:
Content-Based Collaborative Filtering for News Topic Recommendation. AAAI 2015: 217-223 - [c256]Yang Yang, Jie Tang, Cane Wing-ki Leung, Yizhou Sun, Qicong Chen, Juanzi Li, Qiang Yang:
RAIN: Social Role-Aware Information Diffusion. AAAI 2015: 367-373 - [c255]Han Yu, Chunyan Miao, Zhiqi Shen, Cyril Leung, Yiqiang Chen, Qiang Yang:
Efficient Task Sub-Delegation for Crowdsourcing. AAAI 2015: 1305-1312 - [c254]Yangqiu Song, Chenguang Wang, Ming Zhang, Hailong Sun, Qiang Yang:
Spectral Label Refinement for Noisy and Missing Text Labels. AAAI 2015: 2972-2978 - [c253]Xiuqiang He, Wenyuan Dai, Guoxiang Cao, Ruiming Tang, Mingxuan Yuan, Qiang Yang:
Mining target users for online marketing based on App Store data. IEEE BigData 2015: 1043-1052 - [c252]Yanhua Li, Chi-Yin Chow, Ke Deng, Mingxuan Yuan, Jia Zeng, Jia-Dong Zhang, Qiang Yang, Zhi-Li Zhang:
Sampling Big Trajectory Data. CIKM 2015: 941-950 - [c251]Wei Fan, Albert Bifet, Qiang Yang, Philip S. Yu:
Preface. BigMine 2015: 4 - [c250]Ben Tan, Yangqiu Song, Erheng Zhong, Qiang Yang:
Transitive Transfer Learning. KDD 2015: 1155-1164 - [c249]Qiang Yang:
User Modeling in Telecommunications and Internet Industry. KDD 2015: 1639 - [c248]Yiqing Huang, Fangzhou Zhu, Mingxuan Yuan, Ke Deng, Yanhua Li, Bing Ni, Wenyuan Dai, Qiang Yang, Jia Zeng:
Telco Churn Prediction with Big Data. SIGMOD Conference 2015: 607-618 - [c247]Guangyu Feng, Kun Xiong, Yang Tang, Anqi Cui, Jing Bai, Hang Li, Qiang Yang, Ming Li:
Question Classification by Approximating Semantics. WWW (Companion Volume) 2015: 407-417 - [c246]Xiaosheng Liu, Jia Zeng, Xi Yang, Jianfeng Yan, Qiang Yang:
Scalable Parallel EM Algorithms for Latent Dirichlet Allocation in Multi-Core Systems. WWW 2015: 669-679 - 2014
- [c245]Zhongqi Lu, Yin Zhu, Sinno Jialin Pan, Evan Wei Xiang, Yujing Wang, Qiang Yang:
Source Free Transfer Learning for Text Classification. AAAI 2014: 122-128 - [c244]Wei Fan, Albert Bifet, Qiang Yang, Philip S. Yu:
Preface. BigMine 2014 - [c243]Bin Wu, Erheng Zhong, Ben Tan, Andrew Horner, Qiang Yang:
Crowdsourced time-sync video tagging using temporal and personalized topic modeling. KDD 2014: 721-730 - [c242]Ying Wei, Yangqiu Song, Yi Zhen, Bo Liu, Qiang Yang:
Scalable heterogeneous translated hashing. KDD 2014: 791-800 - [c241]Chuanren Liu, Kai Zhang, Hui Xiong, Geoff Jiang, Qiang Yang:
Temporal skeletonization on sequential data: patterns, categorization, and visualization. KDD 2014: 1336-1345 - [c240]Bin Wu, Erheng Zhong, Andrew Horner, Qiang Yang:
Music Emotion Recognition by Multi-label Multi-layer Multi-instance Multi-view Learning. ACM Multimedia 2014: 117-126 - [c239]Jingrui He, Yan Liu, Qiang Yang:
Linking Heterogeneous Input Spaces with Pivots for Multi-Task Learning. SDM 2014: 181-189 - [c238]Ben Tan, Erheng Zhong, Michael K. Ng, Qiang Yang:
Mixed-Transfer: Transfer Learning over Mixed Graphs. SDM 2014: 208-216 - [c237]Erheng Zhong, Wei Fan, Qiang Yang:
Adaptive User Distance Modeling in Social Media. SDM 2014: 316-324 - 2013
- [c236]Lili Zhao, Sinno Jialin Pan, Evan Wei Xiang, Erheng Zhong, Zhongqi Lu, Qiang Yang:
Active Transfer Learning for Cross-System Recommendation. AAAI 2013: 1205-1211 - [c235]Daniel L. Silver, Qiang Yang, Lianghao Li:
Lifelong Machine Learning Systems: Beyond Learning Algorithms. AAAI Spring Symposium: Lifelong Machine Learning 2013 - [c234]Yin Zhu, Erheng Zhong, Sinno Jialin Pan, Xiao Wang, Minzhe Zhou, Qiang Yang:
Predicting user activity level in social networks. CIKM 2013: 159-168 - [c233]Kai Zhang, Vincent Wenchen Zheng, Qiaojun Wang, James Tin-Yau Kwok, Qiang Yang, Ivan Marsic:
Covariate Shift in Hilbert Space: A Solution via Sorrogate Kernels. ICML (3) 2013: 388-395 - [c232]Tianqi Chen, Hang Li, Qiang Yang, Yong Yu:
General Functional Matrix Factorization Using Gradient Boosting. ICML (1) 2013: 436-444 - [c231]Erheng Zhong, Lianghao Li, Naiyan Wang, Ben Tan, Yin Zhu, Lili Zhao, Qiang Yang:
Contextual rule-based feature engineering for author-paper identification. KDD Cup 2013: 6:1-6:6 - [c230]Yangqiu Song, Zhengdong Lu, Cane Wing-ki Leung, Qiang Yang:
Collaborative boosting for activity classification in microblogs. KDD 2013: 482-490 - [c229]Kaixiang Mo, Erheng Zhong, Qiang Yang:
Cross-task crowdsourcing. KDD 2013: 677-685 - [c228]Erheng Zhong, Wei Fan, Yin Zhu, Qiang Yang:
Modeling the dynamics of composite social networks. KDD 2013: 937-945 - [c227]Ben Tan, Evan Wei Xiang, Qiang Yang, Erheng Zhong:
Multi-Transfer: Transfer Learning with Multiple Views and Multiple Sources. SDM 2013: 243-251 - [c226]Andrew Horner, Derek Hao Hu, Bin Wu, Qiang Yang, Erheng Zhong:
SMART: Semi-Supervised Music Emotion Recognition with Social Tagging. SDM 2013: 279-287 - [c225]Zhongqi Lu, Weike Pan, Evan Wei Xiang, Qiang Yang, Lili Zhao, Erheng Zhong:
Selective Transfer Learning for Cross Domain Recommendation. SDM 2013: 641-649 - [c224]Qiang Yang:
Big data, lifelong machine learning and transfer learning. WSDM 2013: 505-506 - 2012
- [c223]Hengjie Song, Ruoxue Liao, Xiangliang Zhang, Chunyan Miao, Qiang Yang:
A Mouse-Trajectory Based Model for Predicting Query-URL Relevance. AAAI 2012: 143-149 - [c222]Yin Zhu, Xiao Wang, Erheng Zhong, Nathan Nan Liu, He Li, Qiang Yang:
Discovering Spammers in Social Networks. AAAI 2012: 171-177 - [c221]Weike Pan, Evan Wei Xiang, Qiang Yang:
Transfer Learning in Collaborative Filtering with Uncertain Ratings. AAAI 2012: 662-668 - [c220]Mingsheng Long, Jianmin Wang, Guiguang Ding, Dou Shen, Qiang Yang:
Transfer Learning with Graph Co-Regularization. AAAI 2012: 1033-1039 - [c219]Fangtao Li, Sinno Jialin Pan, Ou Jin, Qiang Yang, Xiaoyan Zhu:
Cross-Domain Co-Extraction of Sentiment and Topic Lexicons. ACL (1) 2012: 410-419 - [c218]Meng Jiang, Peng Cui, Rui Liu, Qiang Yang, Fei Wang, Wenwu Zhu, Shiqiang Yang:
Social contextual recommendation. CIKM 2012: 45-54 - [c217]Meng Jiang, Peng Cui, Fei Wang, Qiang Yang, Wenwu Zhu, Shiqiang Yang:
Social recommendation across multiple relational domains. CIKM 2012: 1422-1431 - [c216]Yiqiang Chen, Zhenyu Chen, Junfa Liu, Derek Hao Hu, Qiang Yang:
Surrounding context and episode awareness using dynamic Bluetooth data. UbiComp 2012: 629-630 - [c215]Qiang Yang:
Transfer Learning and Applications. Intelligent Information Processing 2012: 2 - [c214]Tengfei Bao, Huanhuan Cao, Qiang Yang, Enhong Chen, Jilei Tian:
Mining Significant Places from Cell ID Trajectories: A Geo-grid Based Approach. MDM 2012: 288-293 - [c213]Tengfei Bao, Huanhuan Cao, Qiang Yang, Enhong Chen, Jilei Tian:
A Demonstration of Mining Significant Places from Cell ID Trajectories through a Geo-grid Based Approach. MDM 2012: 328-331 - [c212]Hankz Hankui Zhuo, Qiang Yang, Subbarao Kambhampati:
Action-Model Based Multi-agent Plan Recognition. NIPS 2012: 377-385 - [c211]Fangwei Hu, Tianqi Chen, Nathan Nan Liu, Qiang Yang, Yong Yu:
Discriminative Factor Alignment across Heterogeneous Feature Space. ECML/PKDD (2) 2012: 757-772 - [c210]Erheng Zhong, Wei Fan, Qiang Yang:
Contextual Collaborative Filtering via Hierarchical Matrix Factorization. SDM 2012: 744-755 - [c209]Shu Rong, Xing Niu, Evan Wei Xiang, Haofen Wang, Qiang Yang, Yong Yu:
A Machine Learning Approach for Instance Matching Based on Similarity Metrics. ISWC (1) 2012: 460-475 - [c208]Weizhu Chen, Dong Wang, Yuchen Zhang, Zheng Chen, Adish Singla, Qiang Yang:
A noise-aware click model for web search. WSDM 2012: 313-322 - [c207]Si Shen, Botao Hu, Weizhu Chen, Qiang Yang:
Personalized click model through collaborative filtering. WSDM 2012: 323-332 - [c206]Danqi Chen, Weizhu Chen, Haixun Wang, Zheng Chen, Qiang Yang:
Beyond ten blue links: enabling user click modeling in federated web search. WSDM 2012: 463-472 - [c205]Haiping Ma, Huanhuan Cao, Qiang Yang, Enhong Chen, Jilei Tian:
A habit mining approach for discovering similar mobile users. WWW 2012: 231-240 - [c204]Zhao Zheng, Tianqi Chen, Nathan Nan Liu, Qiang Yang, Yong Yu:
Rating Prediction with Informative Ensemble of Multi-Resolution Dynamic Models. KDD Cup 2012: 75-97 - 2011
- [c203]Hua-Yan Wang, Qiang Yang:
Transfer Learning by Structural Analogy. AAAI 2011: 513-518 - [c202]Weizhu Chen, Zhanglong Ji, Si Shen, Qiang Yang:
A Whole Page Click Model to Better Interpret Search Engine Click Data. AAAI 2011: 1140-1145 - [c201]Luheng He, Nathan Nan Liu, Qiang Yang:
Active Dual Collaborative Filtering with Both Item and Attribute Feedback. AAAI 2011: 1186-1191 - [c200]Yin Zhu, Yuqiang Chen, Zhongqi Lu, Sinno Jialin Pan, Gui-Rong Xue, Yong Yu, Qiang Yang:
Heterogeneous Transfer Learning for Image Classification. AAAI 2011: 1304-1309 - [c199]Hankz Hankui Zhuo, Qiang Yang, Rong Pan, Lei Li:
Cross-Domain Action-Model Acquisition for Planning via Web Search. ICAPS 2011 - [c198]Hankz Hankui Zhuo, Hector Muñoz-Avila, Qiang Yang:
Learning action models for multi-agent planning. AAMAS 2011: 217-224 - [c197]Ou Jin, Nathan Nan Liu, Kai Zhao, Yong Yu, Qiang Yang:
Transferring topical knowledge from auxiliary long texts for short text clustering. CIKM 2011: 775-784 - [c196]Danqi Chen, Weizhu Chen, Qiang Yang:
Characterizing Inverse Time Dependency in Multi-class Learning. ICDM 2011: 1020-1025 - [c195]Bin Cao, Xiaochuan Ni, Jian-Tao Sun, Gang Wang, Qiang Yang:
Distance Metric Learning under Covariate Shift. IJCAI 2011: 1204-1210 - [c194]Fangtao Li, Nathan Nan Liu, Hongwei Jin, Kai Zhao, Qiang Yang, Xiaoyan Zhu:
Incorporating Reviewer and Product Information for Review Rating Prediction. IJCAI 2011: 1820-1825 - [c193]Derek Hao Hu, Qiang Yang:
Transfer Learning for Activity Recognition via Sensor Mapping. IJCAI 2011: 1962-1967 - [c192]Vincent Wenchen Zheng, Qiang Yang:
User-Dependent Aspect Model for Collaborative Activity Recognition. IJCAI 2011: 2085-2090 - [c191]Weike Pan, Nathan Nan Liu, Evan Wei Xiang, Qiang Yang:
Transfer Learning to Predict Missing Ratings via Heterogeneous User Feedbacks. IJCAI 2011: 2318-2323 - [c190]Evan Wei Xiang, Sinno Jialin Pan, Weike Pan, Jian Su, Qiang Yang:
Source-Selection-Free Transfer Learning. IJCAI 2011: 2355-2360 - [c189]Yan Fu, Rong Pan, Qiang Yang, Wen Gao:
Query-Adaptive Ranking with Support Vector Machines for Protein Homology Prediction. ISBRA 2011: 320-331 - [c188]Yuchen Zhang, Weizhu Chen, Dong Wang, Qiang Yang:
User-click modeling for understanding and predicting search-behavior. KDD 2011: 1388-1396 - [c187]Bin Li, Daqing Zhang, Lin Sun, Chao Chen, Shijian Li, Guande Qi, Qiang Yang:
Hunting or waiting? Discovering passenger-finding strategies from a large-scale real-world taxi dataset. PerCom Workshops 2011: 63-68 - [c186]Nathan Nan Liu, Xiangrui Meng, Chao Liu, Qiang Yang:
Wisdom of the better few: cold start recommendation via representative based rating elicitation. RecSys 2011: 37-44 - [c185]Botao Hu, Yuchen Zhang, Weizhu Chen, Gang Wang, Qiang Yang:
Characterizing search intent diversity into click models. WWW 2011: 17-26 - 2010
- [c184]Bin Cao, Dou Shen, Kuansan Wang, Qiang Yang:
Clickthrough Log Analysis by Collaborative Ranking. AAAI 2010: 224-229 - [c183]Weike Pan, Evan Wei Xiang, Nathan Nan Liu, Qiang Yang:
Transfer Learning in Collaborative Filtering for Sparsity Reduction. AAAI 2010: 230-235 - [c182]Vincent Wenchen Zheng, Bin Cao, Yu Zheng, Xing Xie, Qiang Yang:
Collaborative Filtering Meets Mobile Recommendation: A User-Centered Approach. AAAI 2010: 236-241 - [c181]Bin Cao, Sinno Jialin Pan, Yu Zhang, Dit-Yan Yeung, Qiang Yang:
Adaptive Transfer Learning. AAAI 2010: 407-412 - [c180]Yuqiang Chen, Ou Jin, Gui-Rong Xue, Jia Chen, Qiang Yang:
Visual Contextual Advertising: Bringing Textual Advertisements to Images. AAAI 2010: 1314-1320 - [c179]Qian Xu, Evan Wei Xiang, Qiang Yang:
Protein-protein interaction prediction via Collective Matrix Factorization. BIBM 2010: 62-67 - [c178]Qian Xu, Derek Hao Hu, Qiang Yang, Hong Xue:
SimpleTrPPI: A simple method for transferring knowledge between interaction networks for PPI prediction. BIBM Workshops 2010: 130-135 - [c177]Li Pu, Boi Faltings, Qiang Yang, Derek Hao Hu:
Relational network-service clustering analysis with set evidences. AISec 2010: 35-44 - [c176]Qian Xu, Derek Hao Hu, Hong Xue, Qiang Yang:
Predicting chemical activities from structures by attributed molecular graph classification. CIBCB 2010: 1-8 - [c175]Nathan Nan Liu, Evan Wei Xiang, Min Zhao, Qiang Yang:
Unifying explicit and implicit feedback for collaborative filtering. CIKM 2010: 1445-1448 - [c174]Huanhuan Cao, Tengfei Bao, Qiang Yang, Enhong Chen, Jilei Tian:
An effective approach for mining mobile user habits. CIKM 2010: 1677-1680 - [c173]Bin Cao, Nathan Nan Liu, Qiang Yang:
Transfer Learning for Collective Link Prediction in Multiple Heterogenous Domains. ICML 2010: 159-166 - [c172]Hua-Yan Wang, Vincent Wenchen Zheng, Junhui Zhao, Qiang Yang:
Indoor localization in multi-floor environments with reduced effort. PerCom 2010: 244-252 - [c171]Erheng Zhong, Wei Fan, Qiang Yang, Olivier Verscheure, Jiangtao Ren:
Cross Validation Framework to Choose amongst Models and Datasets for Transfer Learning. ECML/PKDD (3) 2010: 547-562 - [c170]Nathan Nan Liu, Min Zhao, Evan Wei Xiang, Qiang Yang:
Online evolutionary collaborative filtering. RecSys 2010: 95-102 - [c169]Wei Fan, Erheng Zhong, Jing Peng, Olivier Verscheure, Kun Zhang, Jiangtao Ren, Rong Yan, Qiang Yang:
Generalized and Heuristic-Free Feature Construction for Improved Accuracy. SDM 2010: 629-640 - [c168]Xiaoxiao Shi, Qi Liu, Wei Fan, Qiang Yang, Philip S. Yu:
Predictive Modeling with Heterogeneous Sources. SDM 2010: 814-825 - [c167]Sinno Jialin Pan, Xiaochuan Ni, Jian-Tao Sun, Qiang Yang, Zheng Chen:
Cross-domain sentiment classification via spectral feature alignment. WWW 2010: 751-760 - [c166]Vincent Wenchen Zheng, Yu Zheng, Xing Xie, Qiang Yang:
Collaborative location and activity recommendations with GPS history data. WWW 2010: 1029-1038 - [c165]Masashi Sugiyama, Qiang Yang:
Preface. ACML 2010: i-xiv - 2009
- [c164]Qiang Yang, Yuqiang Chen, Gui-Rong Xue, Wenyuan Dai, Yong Yu:
Heterogeneous Transfer Learning for Image Clustering via the SocialWeb. ACL/IJCNLP 2009: 1-9 - [c163]Qiang Yang:
Transfer Learning beyond Text Classification. ACML 2009: 10-22 - [c162]Derek Hao Hu, Dou Shen, Jian-Tao Sun, Qiang Yang, Zheng Chen:
Context-Aware Online Commercial Intention Detection. ACML 2009: 135-149 - [c161]Nathan Nan Liu, Min Zhao, Qiang Yang:
Probabilistic latent preference analysis for collaborative filtering. CIKM 2009: 759-766 - [c160]Bin Cao, Jian-Tao Sun, Evan Wei Xiang, Derek Hao Hu, Qiang Yang, Zheng Chen:
PQC: personalized query classification. CIKM 2009: 1217-1226 - [c159]Dou Shen, Jianmin Wu, Bin Cao, Jian-Tao Sun, Qiang Yang, Zheng Chen, Ying Li:
Exploiting term relationship to boost text classification. CIKM 2009: 1637-1640 - [c158]Vincent Wenchen Zheng, Yu Zheng, Qiang Yang:
Joint learning user's activities and profiles from GPS data. GIS-LBSN 2009: 17-20 - [c157]Vincent Wenchen Zheng, Derek Hao Hu, Qiang Yang:
Cross-domain activity recognition. UbiComp 2009: 61-70 - [c156]Hankui Zhuo, Qiang Yang, Lei Li:
Constraint-Based Case-Based Planning Using Weighted MAX-SAT. ICCBR 2009: 374-388 - [c155]Evan Wei Xiang, Nathan Nan Liu, Sinno Jialin Pan, Qiang Yang:
Knowledge Transfer among Heterogeneous Information Networks. ICDM Workshops 2009: 429-434 - [c154]Jun Yan, Ning Liu, Shuicheng Yan, Qiang Yang, Zheng Chen:
Synthesizing Novel Dimension Reduction Algorithms in Matrix Trace Oriented Optimization Framework. ICDM 2009: 598-606 - [c153]Wenyuan Dai, Ou Jin, Gui-Rong Xue, Qiang Yang, Yong Yu:
EigenTransfer: a unified framework for transfer learning. ICML 2009: 193-200 - [c152]Bin Li, Qiang Yang, Xiangyang Xue:
Transfer learning for collaborative filtering via a rating-matrix generative model. ICML 2009: 617-624 - [c151]Qiang Yang:
Activity Recognition: Linking Low-level Sensors to High-level Intelligence. IJCAI 2009: 20-25 - [c150]Sinno Jialin Pan, Ivor W. Tsang, James T. Kwok, Qiang Yang:
Domain Adaptation via Transfer Component Analysis. IJCAI 2009: 1187-1192 - [c149]Jie Yin, Derek Hao Hu, Qiang Yang:
Spatio-Temporal Event Detection Using Dynamic Conditional Random Fields. IJCAI 2009: 1321-1326 - [c148]Derek Hao Hu, Xian-Xing Zhang, Jie Yin, Vincent Wenchen Zheng, Qiang Yang:
Abnormal Activity Recognition Based on HDP-HMM Models. IJCAI 2009: 1715-1720 - [c147]Hankz Hankui Zhuo, Derek Hao Hu, Chad Hogg, Qiang Yang, Hector Muñoz-Avila:
Learning HTN Method Preconditions and Action Models from Partial Observations. IJCAI 2009: 1804-1810 - [c146]Bin Li, Qiang Yang, Xiangyang Xue:
Can Movies and Books Collaborate? Cross-Domain Collaborative Filtering for Sparsity Reduction. IJCAI 2009: 2052-2057 - [c145]Hankui Zhuo, Qiang Yang, Lei Li:
Transfer Learning Action Models by Measuring the Similarity of Different Domains. PAKDD 2009: 697-704 - [c144]Yiqiang Chen, Zhuo Sun, Juan Qi, Derek Hao Hu, Qiang Yang:
LoSeCo: Location-based Search Computing for Pervasive Device Augmentation. PerCom Workshops 2009: 1-6 - [c143]Yiqiang Chen, Qiang Yang, Moustafa A. Youssef:
Message from the Workshop Co-Organizers. PerCom Workshops 2009: 1-2 - [c142]Vincent Wenchen Zheng, Junhui Zhao, Yongcai Wang, Qiang Yang:
HIPS: A Calibration-less Hybrid Indoor Positioning System Using Heterogeneous Sensors. PerCom Workshops 2009: 1-6 - [c141]Xiaoxiao Shi, Wei Fan, Qiang Yang, Jiangtao Ren:
Relaxed Transfer of Different Classes via Spectral Partition. ECML/PKDD (2) 2009: 366-381 - [c140]Huanhuan Cao, Derek Hao Hu, Dou Shen, Daxin Jiang, Jian-Tao Sun, Enhong Chen, Qiang Yang:
Context-aware query classification. SIGIR 2009: 3-10 - [c139]Ning Liu, Jun Yan, Weiguo Fan, Qiang Yang, Zheng Chen:
Identifying vertical search intention of query through social tagging propagation. WWW 2009: 1209-1210 - 2008
- [c138]Sinno Jialin Pan, James T. Kwok, Qiang Yang:
Transfer Learning via Dimensionality Reduction. AAAI 2008: 677-682 - [c137]Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou, Qiang Yang:
Constraint Projections for Ensemble Learning. AAAI 2008: 758-763 - [c136]Rong Hu, Weizhu Chen, Jian Hu, Yansheng Lu, Zheng Chen, Qiang Yang:
Mining Translations of Web Queries from Web Click-through Data. AAAI 2008: 1144-1149 - [c135]Derek Hao Hu, Qiang Yang:
CIGAR: Concurrent and Interleaving Goal and Activity Recognition. AAAI 2008: 1363-1368 - [c134]Sinno Jialin Pan, Dou Shen, Qiang Yang, James T. Kwok:
Transferring Localization Models across Space. AAAI 2008: 1383-1388 - [c133]Vincent Wenchen Zheng, Evan Wei Xiang, Qiang Yang, Dou Shen:
Transferring Localization Models over Time. AAAI 2008: 1421-1426 - [c132]Vincent Wenchen Zheng, Sinno Jialin Pan, Qiang Yang, Jeffrey Junfeng Pan:
Transferring Multi-device Localization Models using Latent Multi-task Learning. AAAI 2008: 1427-1432 - [c131]Qiang Yang:
An Introduction to Transfer Learning. ADMA 2008: 1 - [c130]Derek Hao Hu, Sinno Jialin Pan, Vincent Wenchen Zheng, Nathan Nan Liu, Qiang Yang:
Real world activity recognition with multiple goals. UbiComp 2008: 30-39 - [c129]Rong Pan, Yunhong Zhou, Bin Cao, Nathan Nan Liu, Rajan M. Lukose, Martin Scholz, Qiang Yang:
One-Class Collaborative Filtering. ICDM 2008: 502-511 - [c128]Jun Yan, Ning Liu, Qiang Yang, Weiguo Fan, Zheng Chen:
TOFA: Trace Oriented Feature Analysis in Text Categorization. ICDM 2008: 668-677 - [c127]Hankui Zhuo, Lei Li, Qiang Yang, Rui Bian:
Learning Action Models with Quantified Conditional Effects for Software Requirement Specification. ICIC (1) 2008: 874-881 - [c126]Wenyuan Dai, Qiang Yang, Gui-Rong Xue, Yong Yu:
Self-taught clustering. ICML 2008: 200-207 - [c125]Hua-Yan Wang, Qiang Yang, Hong Qin, Hongbin Zha:
Dirichlet component analysis: feature extraction for compositional data. ICML 2008: 1128-1135 - [c124]Hua-Yan Wang, Qiang Yang, Hongbin Zha:
Adaptive p-posterior mixture-model kernels for multiple instance learning. ICML 2008: 1136-1143 - [c123]Qiang Yang:
Learning and acting through sensors. ISKE 2008: 8 - [c122]Hui Xue, Songcan Chen, Qiang Yang:
Structural Support Vector Machine. ISNN (1) 2008: 501-511 - [c121]Xiao Ling, Wenyuan Dai, Gui-Rong Xue, Qiang Yang, Yong Yu:
Spectral domain-transfer learning. KDD 2008: 488-496 - [c120]Wenyuan Dai, Yuqiang Chen, Gui-Rong Xue, Qiang Yang, Yong Yu:
Translated Learning: Transfer Learning across Different Feature Spaces. NIPS 2008: 353-360 - [c119]Jeffrey Junfeng Pan, Sinno Jialin Pan, Vincent Wenchen Zheng, Qiang Yang:
Digital Wall: A Power-efficient Solution for Location-based Data Sharing. PerCom 2008: 645-650 - [c118]Bin Cao, Jian-Tao Sun, Jianmin Wu, Qiang Yang, Zheng Chen:
Learning Bidirectional Similarity for Collaborative Filtering. ECML/PKDD (1) 2008: 178-194 - [c117]Hankui Zhuo, Qiang Yang, Derek Hao Hu, Lei Li:
Transferring Knowledge from Another Domain for Learning Action Models. PRICAI 2008: 1110-1115 - [c116]Nathan Nan Liu, Qiang Yang:
EigenRank: a ranking-oriented approach to collaborative filtering. SIGIR 2008: 83-90 - [c115]Jian Hu, Lujun Fang, Yang Cao, Hua-Jun Zeng, Hua Li, Qiang Yang, Zheng Chen:
Enhancing text clustering by leveraging Wikipedia semantics. SIGIR 2008: 179-186 - [c114]Gui-Rong Xue, Dikan Xing, Qiang Yang, Yong Yu:
Deep classification in large-scale text hierarchies. SIGIR 2008: 619-626 - [c113]Gui-Rong Xue, Wenyuan Dai, Qiang Yang, Yong Yu:
Topic-bridged PLSA for cross-domain text classification. SIGIR 2008: 627-634 - [c112]Rong Hu, Weizhu Chen, Peng Bai, Yansheng Lu, Zheng Chen, Qiang Yang:
Web query translation via web log mining. SIGIR 2008: 749-750 - [c111]Dikan Xing, Gui-Rong Xue, Qiang Yang, Yong Yu:
Deep classifier: automatically categorizing search results into large-scale hierarchies. WSDM 2008: 139-148 - [c110]Dou Shen, Toby Walker, Zijian Zheng, Qiang Yang, Ying Li:
Personal name classification in web queries. WSDM 2008: 149-158 - [c109]Xiao Ling, Gui-Rong Xue, Wenyuan Dai, Yun Jiang, Qiang Yang, Yong Yu:
Can chinese web pages be classified with english data source? WWW 2008: 969-978 - 2007
- [c108]Dou Shen, Min Qin, Weizhu Chen, Qiang Yang, Zheng Chen:
Mining Web Query Hierarchies from Clickthrough Data. AAAI 2007: 341-346 - [c107]Wenyuan Dai, Gui-Rong Xue, Qiang Yang, Yong Yu:
Transferring Naive Bayes Classifiers for Text Classification. AAAI 2007: 540-545 - [c106]Zhi-Hua Zhou, De-Chuan Zhan, Qiang Yang:
Semi-Supervised Learning with Very Few Labeled Training Examples. AAAI 2007: 675-680 - [c105]Jeffrey Junfeng Pan, Qiang Yang, Sinno Jialin Pan:
Online Co-Localization in Indoor Wireless Networks by Dimension Reduction. AAAI 2007: 1102-1107 - [c104]Sinno Jialin Pan, James T. Kwok, Qiang Yang, Jeffrey Junfeng Pan:
Adaptive Localization in a Dynamic WiFi Environment through Multi-view Learning. AAAI 2007: 1108-1113 - [c103]Weizhu Chen, Jun Yan, Benyu Zhang, Zheng Chen, Qiang Yang:
Document Transformation for Multi-label Feature Selection in Text Categorization. ICDM 2007: 451-456 - [c102]Bin Cao, Dou Shen, Jian-Tao Sun, Qiang Yang, Zheng Chen:
Feature selection in a kernel space. ICML 2007: 121-128 - [c101]Wenyuan Dai, Qiang Yang, Gui-Rong Xue, Yong Yu:
Boosting for transfer learning. ICML 2007: 193-200 - [c100]Jeffrey Junfeng Pan, Qiang Yang:
Co-Localization from Labeled and Unlabeled Data Using Graph Laplacian. IJCAI 2007: 2166-2171 - [c99]Bin Cao, Dou Shen, Jian-Tao Sun, Xuanhui Wang, Qiang Yang, Zheng Chen:
Detect and Track Latent Factors with Online Nonnegative Matrix Factorization. IJCAI 2007: 2689-2694 - [c98]Dou Shen, Jian-Tao Sun, Hua Li, Qiang Yang, Zheng Chen:
Document Summarization Using Conditional Random Fields. IJCAI 2007: 2862-2867 - [c97]Wenyuan Dai, Gui-Rong Xue, Qiang Yang, Yong Yu:
Co-clustering based classification for out-of-domain documents. KDD 2007: 210-219 - [c96]Rong Pan, Junhui Zhao, Vincent Wenchen Zheng, Jeffrey Junfeng Pan, Dou Shen, Sinno Jialin Pan, Qiang Yang:
Domain-constrained semi-supervised mining of tracking models in sensor networks. KDD 2007: 1023-1027 - [c95]Ben Niu, Qiang Yang, Jinyan Li, Shiu Chi-keung, Sankar K. Pal:
Discovering Patterns of DNA Methylation: Rule Mining with Rough Sets and Decision Trees, and Comethylation Analysis. PReMI 2007: 389-397 - [c94]Xiaochuan Ni, Gui-Rong Xue, Xiao Ling, Yong Yu, Qiang Yang:
Exploring in the weblog space by detecting informative and affective articles. WWW 2007: 281-290 - 2006
- [c93]Jeffrey Junfeng Pan, Qiang Yang, Hong Chang, Dit-Yan Yeung:
A Manifold Regularization Approach to Calibration Reduction for Sensor-Network Based Tracking. AAAI 2006: 988-993 - [c92]Dou Shen, Jian-Tao Sun, Qiang Yang, Zheng Chen:
Text classification improved through multigram models. CIKM 2006: 672-681 - [c91]Dou Shen, Jian-Tao Sun, Qiang Yang, Hui Zhao, Zheng Chen:
Text Classification Improved through Automatically Extracted Sequences. ICDE 2006: 121 - [c90]Dou Shen, Jian-Tao Sun, Qiang Yang, Zheng Chen:
Latent Friend Mining from Blog Data. ICDM 2006: 552-561 - [c89]Jun Yan, Ning Liu, Benyu Zhang, Qiang Yang, Shuicheng Yan, Zheng Chen:
A Novel Scalable Algorithm for Supervised Subspace Learning. ICDM 2006: 721-730 - [c88]Jilin Chen, Jun Yan, Benyu Zhang, Qiang Yang, Zheng Chen:
Diverse Topic Phrase Extraction through Latent Semantic Analysis. ICDM 2006: 834-838 - [c87]Hua Li, Dou Shen, Benyu Zhang, Zheng Chen, Qiang Yang:
Adding Semantics to Email Clustering. ICDM 2006: 938-942 - [c86]Dou Shen, Qiang Yang, Jian-Tao Sun, Zheng Chen:
Thread detection in dynamic text message streams. SIGIR 2006: 35-42 - [c85]Dou Shen, Jian-Tao Sun, Qiang Yang, Zheng Chen:
Building bridges for web query classification. SIGIR 2006: 131-138 - [c84]Dou Shen, Jian-Tao Sun, Qiang Yang, Zheng Chen:
A comparison of implicit and explicit links for web page classification. WWW 2006: 643-650 - 2005
- [c83]Xiaoyong Chai, Qiang Yang:
Multiple-Goal Recognition from Low-Level Signals. AAAI 2005: 3-8 - [c82]Jie Yin, Dou Shen, Qiang Yang, Ze-Nian Li:
Activity Recognition through Goal-Based Segmentation. AAAI 2005: 28-34 - [c81]Rong Pan, Qiang Yang, Jeffrey Junfeng Pan, Lei Li:
Competence Driven Case-Base Mining. AAAI 2005: 228-233 - [c80]Qiang Yang, Kangheng Wu, Yunfei Jiang:
Learning Actions Models from Plan Examples with Incomplete Knowledge. ICAPS 2005: 241-250 - [c79]Jun Yan, QianSheng Cheng, Qiang Yang, Benyu Zhang:
An Incremental Subspace Learning Algorithm to Categorize Large Scale Text Data. APWeb 2005: 52-63 - [c78]Chenyong Hu, Yongji Wang, Benyu Zhang, Qiang Yang, Qing Wang, Jinhui Zhou, Ran He, Yun Yan:
Mining Quantitative Associations in Large Database. APWeb 2005: 405-416 - [c77]Yiming Yang, Qiang Yang, Wei Lu, Sinno Jialin Pan, Rong Pan, Chenhui Lu, Lei Li, Zhenxing Qin:
Preprocessing Time Series Data for Classification with Application to CRM. Australian Conference on Artificial Intelligence 2005: 133-142 - [c76]Shuicheng Yan, Dong Xu, Qiang Yang, Lei Zhang, Xiaoou Tang, HongJiang Zhang:
Discriminant Analysis with Tensor Representation. CVPR (1) 2005: 526-532 - [c75]Shengli Sheng, Charles X. Ling, Qiang Yang:
Simple Test Strategies for Cost-Sensitive Decision Trees. ECML 2005: 365-376 - [c74]Lionel M. Ni, Yanmin Zhu, Jian Ma, Minglu Li, Qiong Luo, Yunhao Liu, S. C. Cheung, Qiang Yang:
Semantic Sensor Net: An Extensible Framework. ICCNMC 2005: 1144-1153 - [c73]Jie Yin, Qiang Yang:
Integrating Hidden Markov Models and Spectral Analysis for Sensory Time Series Clustering. ICDM 2005: 506-513 - [c72]Dong Zhuang, Benyu Zhang, Qiang Yang, Jun Yan, Zheng Chen, Ying Chen:
Efficient Text Classification by Weighted Proximal SVM. ICDM 2005: 538-545 - [c71]Jeffrey Junfeng Pan, James T. Kwok, Qiang Yang, Yiqiang Chen:
Accurate and Low-cost Location Estimation Using Kernels. IJCAI 2005: 1366-1371 - [c70]Yi-Dong Shen, Qiang Yang:
Deriving a Stationary Dynamic Bayesian Network from a Logic Program with Recursive Loops. ILP 2005: 330-347 - [c69]Jie Yin, Qiang Yang, Lionel M. Ni:
Adaptive Temporal Radio Maps for Indoor Location Estimation. PerCom 2005: 85-94 - [c68]Xiaoyong Chai, Qiang Yang:
Reducing the Calibration Effort for Location Estimation Using Unlabeled Samples. PerCom 2005: 95-104 - [c67]Gui-Rong Xue, Chenxi Lin, Qiang Yang, Wensi Xi, Hua-Jun Zeng, Yong Yu, Zheng Chen:
Scalable collaborative filtering using cluster-based smoothing. SIGIR 2005: 114-121 - [c66]Gui-Rong Xue, Qiang Yang, Hua-Jun Zeng, Yong Yu, Zheng Chen:
Exploiting the hierarchical structure for link analysis. SIGIR 2005: 186-193 - [c65]Jian-Tao Sun, Dou Shen, Hua-Jun Zeng, Qiang Yang, Yuchang Lu, Zheng Chen:
Web-page summarization using clickthrough data. SIGIR 2005: 194-201 - 2004
- [c64]Jie Yin, Xiaoyong Chai, Qiang Yang:
High-Level Goal Recognition in a Wireless LAN. AAAI 2004: 578-584 - [c63]Ning Liu, Benyu Zhang, Jun Yan, Qiang Yang, Shuicheng Yan, Zheng Chen, Fengshan Bai, Wei-Ying Ma:
Learning similarity measures in non-orthogonal space. CIKM 2004: 334-341 - [c62]Rong Pan, Qiang Yang, Lei Li:
Case Retrieval Using Nonlinear Feature-Space Transformation. ECCBR 2004: 361-374 - [c61]Xiaoyong Chai, Lin Deng, Qiang Yang, Charles X. Ling:
Test-Cost Sensitive Naive Bayes Classification. ICDM 2004: 51-58 - [c60]Gui-Rong Xue, Dou Shen, Qiang Yang, Hua-Jun Zeng, Zheng Chen, Yong Yu, Wensi Xi, Wei-Ying Ma:
IRC: An Iterative Reinforcement Categorization Algorithm for Interrelated Web Objects. ICDM 2004: 273-280 - [c59]Chenyong Hu, Benyu Zhang, Shuicheng Yan, Qiang Yang, Jun Yan, Zheng Chen, Wei-Ying Ma:
Mining Ratio Rules Via Principal Sparse Non-Negative Matrix Factorization. ICDM 2004: 407-410 - [c58]Yi-Dong Shen, Zhiyong Shen, Shi-Ming Zhang, Qiang Yang:
Cluster Cores-Based Clustering for High Dimensional Data. ICDM 2004: 519-522 - [c57]Charles X. Ling, Qiang Yang, Jianning Wang, Shichao Zhang:
Decision trees with minimal costs. ICML 2004 - [c56]Jun Yan, Benyu Zhang, Shuicheng Yan, Qiang Yang, Hua Li, Zheng Chen, Wensi Xi, Weiguo Fan, Wei-Ying Ma, QianSheng Cheng:
IMMC: incremental maximum margin criterion. KDD 2004: 725-730 - [c55]Qiang Yang, Yiqiang Chen, Jie Yin, Xiaoyong Chai:
LEAPS: A Location Estimation and Action Prediction System in a Wireless LAN Environment. NPC 2004: 584-591 - [c54]Qiming Huang, Qiang Yang, Joshua Zhexue Huang, Michael K. Ng:
Mining of Web-Page Visiting Patterns with Continuous-Time Markov Models. PAKDD 2004: 549-558 - [c53]Yan Fu, Qiang Yang, Charles X. Ling, Haipeng Wang, Dequan Li, Ruixiang Sun, Hu Zhou, Rong Zeng, Yiqiang Chen, Simin He, Wen Gao:
A Kernel-Based Case Retrieval Algorithm with Application to Bioinformatics. PRICAI 2004: 544-553 - [c52]Dou Shen, Zheng Chen, Qiang Yang, Hua-Jun Zeng, Benyu Zhang, Yuchang Lu, Wei-Ying Ma:
Web-page classification through summarization. SIGIR 2004: 242-249 - 2003
- [c51]Qiang Yang, Hong Cheng:
Planning for Marketing Campaigns. ICAPS 2003: 174-184 - [c50]Qiang Yang, Hong Cheng:
Case Mining from Large Databases. ICCBR 2003: 691-702 - [c49]Ke Wang, Senqiang Zhou, Jack Man Shun Yeung, Qiang Yang:
Mining Customer Value: From Association Rules to Direct Marketing. ICDE 2003: 738-740 - [c48]Raymond Chan, Qiang Yang, Yi-Dong Shen:
Mining High Utility Itemsets. ICDM 2003: 19-26 - [c47]Qiang Yang, Hong Cheng:
Mining Plans for Customer-Class Transformation. ICDM 2003: 403-410 - [c46]Qiang Yang, Jie Yin, Charles X. Ling, Tielin Chen:
Postprocessing Decision Trees to Extract Actionable Knowledge. ICDM 2003: 685-688 - [c45]Yi-Dong Shen, Qiang Yang, Zhong Zhang, Hongjun Lu:
Mining the Customer's Up-To-Moment Preferences for E-commerce Recommendation. PAKDD 2003: 166-177 - 2002
- [c44]Peng Han, Ruimin Shen, Fan Yang, Qiang Yang:
The Application of Case Based Reasoning on Q&A System. Australian Joint Conference on Artificial Intelligence 2002: 704-713 - [c43]Wenwu Lou, Guimei Liu, Hongjun Lu, Qiang Yang:
Cut-and-Pick Transactions for Proxy Log Mining. EDBT 2002: 88-105 - [c42]Chunyan Miao, Haijing Fang, Xuehong Tao, Qiang Yang, Robert K. L. Gay:
An Agent Approach for Personalized Recommendation. FSKD 2002: 231-235 - [c41]Yi-Dong Shen, Zhong Zhang, Qiang Yang:
Objective-Oriented Utility-Based Association Mining. ICDM 2002: 426-433 - [c40]Qiang Yang, Hong Cheng:
Mining Case Bases for Action Recommendation. ICDM 2002: 522-529 - [c39]Charles X. Ling, Tielin Chen, Qiang Yang, Jie Cheng:
Mining Optimal Actions for Profitable CRM. ICDM 2002: 767-770 - [c38]Ruimin Shen, Peng Han, Fan Yang, Qiang Yang, Joshua Zhexue Huang:
An Open Framework for Smart and Personalized Distance Learning. ICWL 2002: 19-30 - [c37]Chunyan Miao, Qiang Yang, Haijing Fang, Angela Goh:
Fuzzy Cognitive Agents for Personalized Recommendation. WISE 2002: 362-372 - 2001
- [c36]Qiang Yang, Zhen Zhang:
Model Based Predictive Prefetching. DEXA Workshop 2001: 291-295 - [c35]Zhong Su, Qiang Yang, HongJiang Zhang, Xiaowei Xu, Yuhen Hu:
Correlation-based Document Clustering using Web Logs. HICSS 2001 - [c34]Qiang Yang, Henry Haining Zhang, Hui Zhang:
Taylor Series Prediction: A Cache Replacement Policy based on Second-Order Trend Analysis. HICSS 2001 - [c33]Qiang Yang, Ian Tian-Yi Li, Henry Haining Zhang:
Mining High-Quality Cases for Hypertext Prediction and Prefetching. ICCBR 2001: 744-756 - [c32]Qiang Yang, Henry Haining Zhang, Tianyi Li:
Mining web logs for prediction models in WWW caching and prefetching. KDD 2001: 473-478 - [c31]Qiang Yang, Henry Haining Zhang, Ian Tian-Yi Li, Ye Lu:
Mining Web Logs to Improve Web Caching and Prefetching. Web Intelligence 2001: 483-492 - [c30]Ian Tian-Yi Li, Qiang Yang, Ke Wang:
Classification Pruning for Web-request Prediction. WWW Posters 2001 - 2000
- [c29]Qiang Yang, Jing Wu:
Keep It Simple: A Case-Base Maintenance Policy Based on Clustering and Information Theory. AI 2000: 102-114 - [c28]Sheng Li, Qiang Yang:
Activating Case-Based Reasoning with Active Databases. EWCBR 2000: 3-14 - [c27]Zhong Su, Qiang Yang, HongJiang Zhang:
A prediction system for multimedia pre-fetching in Internet. ACM Multimedia 2000: 3-11 - [c26]Ye Lu, Chunhui Hu, Xingquan Zhu, HongJiang Zhang, Qiang Yang:
A unified framework for semantics and feature based relevance feedback in image retrieval systems. ACM Multimedia 2000: 31-37 - [c25]Qiang Yang, Hai-Feng Wang, Ji-Rong Wen, Gao Zhang, Ye Lu, Kai-Fu Lee, HongJiang Zhang:
Towards a Next-Generation Search Engine. PRICAI 2000: 5-15 - [c24]Zhong Su, Qiang Yang, Ye Lu, HongJiang Zhang:
WhatNext: A Prediction System for Web Requests Using N-gram Sequence Models. WISE 2000: 214-221 - 1999
- [c23]Sandra C. Hayden, Christina Carrick, Qiang Yang:
A Catalog of Agent Coordination Patterns. Agents 1999: 412-413 - [c22]Jiawei Han, Qiang Yang, Edward Kim:
Plan Mining by Divide-and-Conquer. 1999 ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery 1999 - [c21]Yong Wang, Qiang Yang, Zhong Zhang:
Real-Time Scheduling for Multi-agent Call Center Automation. ECP 1999: 187-199 - [c20]Christina Carrick, Qiang Yang:
Activating CBR Systems Through Autonomous Information Gathering. ICCBR 1999: 74-88 - [c19]Irène Abi-Zeid, Qiang Yang, Luc Lamontagne:
Is CBR Applicable to the Coordination of Search and Rescue Operations? A Feasibility Study. ICCBR 1999: 358-371 - [c18]Zhong Zhang, Qiang Yang:
Dynamic Refinement of Feature Weights Using Quantitative Introspective Learning. IJCAI 1999: 228-233 - [c17]Jun Zhu, Qiang Yang:
Remembering to Add: Competence-preserving Case-Addition Policies for Case Base Maintenance. IJCAI 1999: 234-241 - 1998
- [c16]Qiang Yang, Irène Abi-Zeid, Luc Lamontagne:
An Agent for Intelligent Situation Assessment. AIMSA 1998: 466-474 - [c15]Zhong Zhang, Qiang Yang:
Towards Lifetime Maintenance of Case Based Indexes for Continual Case Based Reasoning. AIMSA 1998: 489-500 - 1997
- [c14]Kirsti Racine, Qiang Yang:
Maintaining Unstructured Case Base. ICCBR 1997: 553-564 - 1996
- [c13]Steven G. Woods, Qiang Yang:
The Program Understanding Problem: Analysis and a Heuristic Approach. ICSE 1996: 6-15 - [c12]Alex Quilici, Qiang Yang, Steven Woods:
Applying plan recognition algorithms to program understanding. KBSE 1996: 96-103 - 1995
- [c11]Eugene Fink, Qiang Yang:
Planning with Primary Effects: Experiments and Analysis. IJCAI 1995: 1606-1611 - 1994
- [c10]Qiang Yang, Alex Y. M. Chan:
Delaying Variable Binding Commitments in Planning. AIPS 1994: 182-187 - [c9]Qiang Yang, Shuo Bai, Guiyou Qiu:
A Framework for Automatic Problem Decomposition in Planning. AIPS 1994: 347-352 - 1993
- [c8]Eugene Fink, Qiang Yang:
Characterizing and Automatically Finding Primary Effects in Planning. IJCAI 1993: 1374-1379 - 1992
- [c7]Fahiem Bacchus, Qiang Yang:
The Expected Value of Hierarchical Problem-Solving. AAAI 1992: 369-374 - 1991
- [c6]David E. Foulser, Ming Li, Qiang Yang:
A Quantitative Theory for Plan Merging. AAAI 1991: 673-678 - [c5]Craig A. Knoblock, Josh D. Tenenberg, Qiang Yang:
Characterizing Abstraction Hierarchies for Planning. AAAI 1991: 692-697 - [c4]Fahiem Bacchus, Qiang Yang:
The Downward Refinement Property. IJCAI 1991: 286-293 - 1990
- [c3]Qiang Yang:
An Algebraic Approach to Conflict Resolution in Planning. AAAI 1990: 40-45 - [c2]Qiang Yang, Josh D. Tenenberg:
ABTWEAK: Abstracting a Nonlinear, Least Commitment Planner. AAAI 1990: 204-209 - 1989
- [c1]Qiang Yang, Dana S. Nau:
Preprocessing Search Spaces for Branch and Bound Search. IJCAI 1989: 349-353
Parts in Books or Collections
- 2020
- [p7]Lingjuan Lyu, Han Yu, Jun Zhao, Qiang Yang:
Threats to Federated Learning. Federated Learning 2020: 3-16 - [p6]Lixin Fan, Kam Woh Ng, Ce Ju, Tianyu Zhang, Chang Liu, Chee Seng Chan, Qiang Yang:
Rethinking Privacy Preserving Deep Learning: How to Evaluate and Thwart Privacy Attacks. Federated Learning 2020: 32-50 - [p5]Zichen Chen, Zelei Liu, Kang Loon Ng, Han Yu, Yang Liu, Qiang Yang:
A Gamified Research Tool for Incentive Mechanism Design in Federated Learning. Federated Learning 2020: 168-175 - [p4]Liu Yang, Ben Tan, Vincent W. Zheng, Kai Chen, Qiang Yang:
Federated Recommendation Systems. Federated Learning 2020: 225-239 - [p3]Xiawei Guo, Quanming Yao, James T. Kwok, Wei-Wei Tu, Yuqiang Chen, Wenyuan Dai, Qiang Yang:
Privacy-Preserving Stacking with Application to Cross-organizational Diabetes Prediction. Federated Learning 2020: 269-283 - 2012
- [p2]Weike Pan, Erheng Zhong, Qiang Yang:
Transfer Learning for Text Mining. Mining Text Data 2012: 223-257 - 2011
- [p1]Yin Zhu, Vincent Wenchen Zheng, Qiang Yang:
Activity Recognition from Trajectory Data. Computing with Spatial Trajectories 2011: 179-212
Editorship
- 2021
- [e21]Susanne Biundo, Minh Do, Robert Goldman, Michael Katz, Qiang Yang, Hankz Hankui Zhuo:
Proceedings of the Thirty-First International Conference on Automated Planning and Scheduling, ICAPS 2021, Guangzhou, China (virtual), August 2-13, 2021. AAAI Press 2021, ISBN 978-1-57735-867-1 [contents] - 2020
- [e20]Qiang Yang, Lixin Fan, Han Yu:
Federated Learning - Privacy and Incentive. Lecture Notes in Computer Science 12500, Springer 2020, ISBN 978-3-030-63075-1 [contents] - 2019
- [e19]Qiang Yang, Zhi-Hua Zhou, Zhiguo Gong, Min-Ling Zhang, Sheng-Jun Huang:
Advances in Knowledge Discovery and Data Mining - 23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019, Proceedings, Part I. Lecture Notes in Computer Science 11439, Springer 2019, ISBN 978-3-030-16147-7 [contents] - [e18]Qiang Yang, Zhi-Hua Zhou, Zhiguo Gong, Min-Ling Zhang, Sheng-Jun Huang:
Advances in Knowledge Discovery and Data Mining - 23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019, Proceedings, Part II. Lecture Notes in Computer Science 11440, Springer 2019, ISBN 978-3-030-16144-6 [contents] - [e17]Qiang Yang, Zhi-Hua Zhou, Zhiguo Gong, Min-Ling Zhang, Sheng-Jun Huang:
Advances in Knowledge Discovery and Data Mining - 23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019, Proceedings, Part III. Lecture Notes in Computer Science 11441, Springer 2019, ISBN 978-3-030-16141-5 [contents] - 2016
- [e16]Wei Fan, Albert Bifet, Jesse Read, Qiang Yang, Philip S. Yu:
Proceedings of the 5th International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications, BigMine 2016, San Francisco, CA, USA, August 14, 2016. JMLR Workshop and Conference Proceedings 53, JMLR.org 2016 [contents] - 2015
- [e15]Qiang Yang, Michael J. Wooldridge:
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI 2015, Buenos Aires, Argentina, July 25-31, 2015. AAAI Press 2015, ISBN 978-1-57735-738-4 [contents] - 2014
- [e14]Wei Fan, Albert Bifet, Qiang Yang, Philip S. Yu:
Proceedings of the 3rd International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications, BigMine 2014, New York City, USA, August 24, 2014. JMLR Workshop and Conference Proceedings 36, JMLR.org 2014 [contents] - 2013
- [e13]Xiaohua Hu, Tsau Young Lin, Vijay V. Raghavan, Benjamin W. Wah, Ricardo Baeza-Yates, Geoffrey C. Fox, Cyrus Shahabi, Matthew Smith, Qiang Yang, Rayid Ghani, Wei Fan, Ronny Lempel, Raghunath Nambiar:
2013 IEEE International Conference on Big Data (IEEE BigData 2013), 6-9 October 2013, Santa Clara, CA, USA. IEEE Computer Society 2013, ISBN 978-1-4799-1292-6 [contents] - [e12]Wei Fan, Albert Bifet, Qiang Yang, Philip S. Yu:
Proceedings of the 2nd International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications, BigMine 2013, Chicago, IL, USA, August 11, 2013. ACM 2013, ISBN 978-1-4503-2324-6 [contents] - [e11]Qiang Yang, Irwin King, Qing Li, Pearl Pu, George Karypis:
Seventh ACM Conference on Recommender Systems, RecSys '13, Hong Kong, China, October 12-16, 2013. ACM 2013, ISBN 978-1-4503-2409-0 [contents] - 2012
- [e10]Qiang Yang, Deepak Agarwal, Jian Pei:
The 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD '12, Beijing, China, August 12-16, 2012. ACM 2012, ISBN 978-1-4503-1462-6 [contents] - [e9]Wei Fan, Albert Bifet, Qiang Yang, Philip S. Yu:
Proceedings of the 1st International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications, BigMine 2012, Beijing, China, August 12, 2012. ACM 2012, ISBN 978-1-4503-1547-0 [contents] - 2010
- [e8]Masashi Sugiyama, Qiang Yang:
Proceedings of the 2nd Asian Conference on Machine Learning, ACML 2010, Tokyo, Japan, November 8-10, 2010. JMLR Proceedings 13, JMLR.org 2010 [contents] - [e7]Charles Rich, Qiang Yang, Marc Cavazza, Michelle X. Zhou:
Proceedings of the 15th International Conference on Intelligent User Interfaces, IUI 2010, Hong Kong, China, February 7-10, 2010. ACM 2010, ISBN 978-1-60558-515-4 [contents] - [e6]Bharat Rao, Balaji Krishnapuram, Andrew Tomkins, Qiang Yang:
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, July 25-28, 2010. ACM 2010, ISBN 978-1-4503-0055-1 [contents] - 2009
- [e5]Ronghuai Huang, Qiang Yang, Jian Pei, João Gama, Xiaofeng Meng, Xue Li:
Advanced Data Mining and Applications, 5th International Conference, ADMA 2009, Beijing, China, August 17-19, 2009. Proceedings. Lecture Notes in Computer Science 5678, Springer 2009, ISBN 978-3-642-03347-6 [contents] - 2007
- [e4]Zhi-Hua Zhou, Hang Li, Qiang Yang:
Advances in Knowledge Discovery and Data Mining, 11th Pacific-Asia Conference, PAKDD 2007, Nanjing, China, May 22-25, 2007, Proceedings. Lecture Notes in Computer Science 4426, Springer 2007, ISBN 978-3-540-71700-3 [contents] - 2006
- [e3]Jinyan Li, Qiang Yang, Ah-Hwee Tan:
Data Mining for Biomedical Applications, PAKDD 2006 Workshop, BioDM 2006, Singapore, April 9, 2006, Proceedings. Lecture Notes in Computer Science 3916, Springer 2006, ISBN 3-540-33104-2 [contents] - [e2]Qiang Yang, Geoffrey I. Webb:
PRICAI 2006: Trends in Artificial Intelligence, 9th Pacific Rim International Conference on Artificial Intelligence, Guilin, China, August 7-11, 2006, Proceedings. Lecture Notes in Computer Science 4099, Springer 2006, ISBN 3-540-36667-9 [contents] - 2005
- [e1]Chengqi Zhang, Qiang Yang, Bing Liu:
Guest Editors' Introduction: Special Section on Intelligent Data Preparation. IEEE Trans. Knowl. Data Eng. 17(9): 1163-1165 (2005)
Informal and Other Publications
- 2024
- [i123]Gongxi Zhu, Donghao Li, Hanlin Gu, Yuxing Han, Yuan Yao, Lixin Fan, Qiang Yang:
Evaluating Membership Inference Attacks and Defenses in Federated Learning. CoRR abs/2402.06289 (2024) - 2023
- [i122]Hanlin Gu, Jiahuan Luo, Yan Kang, Lixin Fan, Qiang Yang:
FedPass: Privacy-Preserving Vertical Federated Deep Learning with Adaptive Obfuscation. CoRR abs/2301.12623 (2023) - [i121]Yilun Jin, Yang Liu, Kai Chen, Qiang Yang:
Federated Learning without Full Labels: A Survey. CoRR abs/2303.14453 (2023) - [i120]Xiaojin Zhang, Anbu Huang, Lixin Fan, Kai Chen, Qiang Yang:
Probably Approximately Correct Federated Learning. CoRR abs/2304.04641 (2023) - [i119]Xiaojin Zhang, Lixin Fan, Siwei Wang, Wenjie Li, Kai Chen, Qiang Yang:
A Game-theoretic Framework for Federated Learning. CoRR abs/2304.05836 (2023) - [i118]Yuan Cao, Di Jiang, Guanqun Hou, Fan Deng, Xinjia Chen, Qiang Yang:
Learn to Cluster Faces with Better Subgraphs. CoRR abs/2304.10831 (2023) - [i117]Yan Kang, Hanlin Gu, Xingxing Tang, Yuanqin He, Yuzhu Zhang, Jinnan He, Yuxing Han, Lixin Fan, Kai Chen, Qiang Yang:
Optimizing Privacy, Utility and Efficiency in Constrained Multi-Objective Federated Learning. CoRR abs/2305.00312 (2023) - [i116]Xiaojin Zhang, Kai Chen, Qiang Yang:
Towards Achieving Near-optimal Utility for Privacy-Preserving Federated Learning via Data Generation and Parameter Distortion. CoRR abs/2305.04288 (2023) - [i115]Wenyuan Yang, Yuguo Yin, Gongxi Zhu, Hanlin Gu, Lixin Fan, Xiaochun Cao, Qiang Yang:
FedZKP: Federated Model Ownership Verification with Zero-knowledge Proof. CoRR abs/2305.04507 (2023) - [i114]Wenyuan Yang, Gongxi Zhu, Yuguo Yin, Hanlin Gu, Lixin Fan, Qiang Yang, Xiaochun Cao:
FedSOV: Federated Model Secure Ownership Verification with Unforgeable Signature. CoRR abs/2305.06085 (2023) - [i113]Xiaojin Zhang, Wenjie Li, Kai Chen, Shutao Xia, Qiang Yang:
Theoretically Principled Federated Learning for Balancing Privacy and Utility. CoRR abs/2305.15148 (2023) - [i112]Xiaojin Zhang, Yan Kang, Lixin Fan, Kai Chen, Qiang Yang:
A Meta-learning Framework for Tuning Parameters of Protection Mechanisms in Trustworthy Federated Learning. CoRR abs/2305.18400 (2023) - [i111]Yupeng Chang, Xu Wang, Jindong Wang, Yuan Wu, Kaijie Zhu, Hao Chen, Linyi Yang, Xiaoyuan Yi, Cunxiang Wang, Yidong Wang, Wei Ye, Yue Zhang, Yi Chang, Philip S. Yu, Qiang Yang, Xing Xie:
A Survey on Evaluation of Large Language Models. CoRR abs/2307.03109 (2023) - [i110]Ziyao Ren, Yan Kang, Lixin Fan, Linghua Yang, Tao Fan, Yongxin Tong, Qiang Yang:
SecureBoost Hyperparameter Tuning via Multi-Objective Federated Learning. CoRR abs/2307.10579 (2023) - [i109]Di Chai, Leye Wang, Liu Yang, Junxue Zhang, Kai Chen, Qiang Yang:
A Survey for Federated Learning Evaluations: Goals and Measures. CoRR abs/2308.11841 (2023) - [i108]Tao Fan, Yan Kang, Guoqiang Ma, Weijing Chen, Wenbin Wei, Lixin Fan, Qiang Yang:
FATE-LLM: A Industrial Grade Federated Learning Framework for Large Language Models. CoRR abs/2310.10049 (2023) - [i107]Yuanfeng Song, Yuanqin He, Xuefang Zhao, Hanlin Gu, Di Jiang, Haijun Yang, Lixin Fan, Qiang Yang:
A Communication Theory Perspective on Prompting Engineering Methods for Large Language Models. CoRR abs/2310.18358 (2023) - [i106]Yan Kang, Tao Fan, Hanlin Gu, Lixin Fan, Qiang Yang:
Grounding Foundation Models through Federated Transfer Learning: A General Framework. CoRR abs/2311.17431 (2023) - [i105]Cheng Li, Jindong Wang, Yixuan Zhang, Kaijie Zhu, Xinyi Wang, Wenxin Hou, Jianxun Lian, Fang Luo, Qiang Yang, Xing Xie:
The Good, The Bad, and Why: Unveiling Emotions in Generative AI. CoRR abs/2312.11111 (2023) - [i104]Hanlin Gu, Xinyuan Zhao, Yuxing Han, Yan Kang, Lixin Fan, Qiang Yang:
A Theoretical Analysis of Efficiency Constrained Utility-Privacy Bi-Objective Optimization in Federated Learning. CoRR abs/2312.16554 (2023) - 2022
- [i103]Wei Yang Bryan Lim, Zehui Xiong, Dusit Niyato, Xianbin Cao, Chunyan Miao, Sumei Sun, Qiang Yang:
Realizing the Metaverse with Edge Intelligence: A Match Made in Heaven. CoRR abs/2201.01634 (2022) - [i102]Minrui Xu, Wei Chong Ng, Wei Yang Bryan Lim, Jiawen Kang, Zehui Xiong, Dusit Niyato, Qiang Yang, Xuemin Sherman Shen, Chunyan Miao:
A Full Dive into Realizing the Edge-enabled Metaverse: Visions, Enabling Technologies, and Challenges. CoRR abs/2203.05471 (2022) - [i101]Xiaojin Zhang, Hanlin Gu, Lixin Fan, Kai Chen, Qiang Yang:
No Free Lunch Theorem for Security and Utility in Federated Learning. CoRR abs/2203.05816 (2022) - [i100]Nannan Wu, Ning Zhang, Wenjun Wang, Lixin Fan, Qiang Yang:
FadMan: Federated Anomaly Detection across Multiple Attributed Networks. CoRR abs/2205.14196 (2022) - [i99]Xueyang Wu, Shengqi Tan, Qian Xu, Qiang Yang:
WrapperFL: A Model Agnostic Plug-in for Industrial Federated Learning. CoRR abs/2206.10407 (2022) - [i98]Youlong Ding, Xueyang Wu, Zhitao Li, Zeheng Wu, Shengqi Tan, Qian Xu, Weike Pan, Qiang Yang:
An Efficient Industrial Federated Learning Framework for AIoT: A Face Recognition Application. CoRR abs/2206.13398 (2022) - [i97]Yichi Zhang, Chao Zhang, Cai Zhang, Lixin Fan, Bei Zeng, Qiang Yang:
Federated Learning with Quantum Secure Aggregation. CoRR abs/2207.07444 (2022) - [i96]Dongqi Cai, Tao Fan, Yan Kang, Lixin Fan, Mengwei Xu, Shangguang Wang, Qiang Yang:
Accelerating Vertical Federated Learning. CoRR abs/2207.11456 (2022) - [i95]Yuanqin He, Yan Kang, Jiahuan Luo, Lixin Fan, Qiang Yang:
A Hybrid Self-Supervised Learning Framework for Vertical Federated Learning. CoRR abs/2208.08934 (2022) - [i94]Yinghua Zhang, Yangqiu Song, Kun Bai, Qiang Yang:
Cross-domain Cross-architecture Black-box Attacks on Fine-tuned Models with Transferred Evolutionary Strategies. CoRR abs/2208.13182 (2022) - [i93]Xiaojin Zhang, Yan Kang, Kai Chen, Lixin Fan, Qiang Yang:
Trading Off Privacy, Utility and Efficiency in Federated Learning. CoRR abs/2209.00230 (2022) - [i92]Yan Kang, Jiahuan Luo, Yuanqin He, Xiaojin Zhang, Lixin Fan, Qiang Yang:
A Framework for Evaluating Privacy-Utility Trade-off in Vertical Federated Learning. CoRR abs/2209.03885 (2022) - [i91]Shuo Shao, Wenyuan Yang, Hanlin Gu, Jian Lou, Zhan Qin, Lixin Fan, Qiang Yang, Kui Ren:
FedTracker: Furnishing Ownership Verification and Traceability for Federated Learning Model. CoRR abs/2211.07160 (2022) - [i90]Yang Liu, Yan Kang, Tianyuan Zou, Yanhong Pu, Yuanqin He, Xiaozhou Ye, Ye Ouyang, Ya-Qin Zhang, Qiang Yang:
Vertical Federated Learning. CoRR abs/2211.12814 (2022) - [i89]Hanlin Gu, Lixin Fan, Xingxing Tang, Qiang Yang:
FedCut: A Spectral Analysis Framework for Reliable Detection of Byzantine Colluders. CoRR abs/2211.13389 (2022) - 2021
- [i88]Guangneng Hu, Qiang Yang:
TrNews: Heterogeneous User-Interest Transfer Learning for News Recommendation. CoRR abs/2101.05611 (2021) - [i87]Xinle Liang, Yang Liu, Jiahuan Luo, Yuanqin He, Tianjian Chen, Qiang Yang:
Self-supervised Cross-silo Federated Neural Architecture Search. CoRR abs/2101.11896 (2021) - [i86]Ding Sheng Ong, Chee Seng Chan, Kam Woh Ng, Lixin Fan, Qiang Yang:
Protecting Intellectual Property of Generative Adversarial Networks from Ambiguity Attack. CoRR abs/2102.04362 (2021) - [i85]Jer Shyuan Ng, Wei Yang Bryan Lim, Zehui Xiong, Dusit Niyato, Cyril Leung, Dong In Kim, Junshan Zhang, Qiang Yang:
A Game-theoretic Approach Towards Collaborative Coded Computation Offloading. CoRR abs/2102.08667 (2021) - [i84]Alysa Ziying Tan, Han Yu, Lizhen Cui, Qiang Yang:
Towards Personalized Federated Learning. CoRR abs/2103.00710 (2021) - [i83]Chang Liu, Lixin Fan, Kam Woh Ng, Yilun Jin, Ce Ju, Tianyu Zhang, Chee Seng Chan, Qiang Yang:
Ternary Hashing. CoRR abs/2103.09173 (2021) - [i82]Di Chai, Leye Wang, Lianzhi Fu, Junxue Zhang, Kai Chen, Qiang Yang:
Federated Singular Vector Decomposition. CoRR abs/2105.08925 (2021) - [i81]Xu Geng, Yilun Jin, Zhengfei Zheng, Yu Yang, Yexin Li, Han Tian, Peibo Duan, Leye Wang, Jiannong Cao, Hai Yang, Qiang Yang, Kai Chen:
CityNet: A Multi-city Multi-modal Dataset for Smart City Applications. CoRR abs/2106.15802 (2021) - [i80]Danqing Zhang, Zheng Li, Tianyu Cao, Chen Luo, Tony Wu, Hanqing Lu, Yiwei Song, Bing Yin, Tuo Zhao, Qiang Yang:
QUEACO: Borrowing Treasures from Weakly-labeled Behavior Data for Query Attribute Value Extraction. CoRR abs/2108.08468 (2021) - [i79]Liu Yang, Ben Tan, Bo Liu, Vincent W. Zheng, Kai Chen, Qiang Yang:
Practical and Secure Federated Recommendation with Personalized Masks. CoRR abs/2109.02464 (2021) - [i78]Hanlin Gu, Lixin Fan, Bowen Li, Yan Kang, Yuan Yao, Qiang Yang:
Federated Deep Learning with Bayesian Privacy. CoRR abs/2109.13012 (2021) - [i77]Lixin Fan, Bowen Li, Hanlin Gu, Jie Li, Qiang Yang:
FedIPR: Ownership Verification for Federated Deep Neural Network Models. CoRR abs/2109.13236 (2021) - [i76]Weijing Chen, Guoqiang Ma, Tao Fan, Yan Kang, Qian Xu, Qiang Yang:
SecureBoost+ : A High Performance Gradient Boosting Tree Framework for Large Scale Vertical Federated Learning. CoRR abs/2110.10927 (2021) - [i75]Yuezhou Wu, Yan Kang, Jiahuan Luo, Yuanqin He, Qiang Yang:
FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated Learning. CoRR abs/2111.08211 (2021) - [i74]Yan Kang, Yang Liu, Yuezhou Wu, Guoqiang Ma, Qiang Yang:
Privacy-preserving Federated Adversarial Domain Adaption over Feature Groups for Interpretability. CoRR abs/2111.10934 (2021) - [i73]Yang Liu, Zhihao Yi, Yan Kang, Yuanqin He, Wenhan Liu, Tianyuan Zou, Qiang Yang:
Defending Label Inference and Backdoor Attacks in Vertical Federated Learning. CoRR abs/2112.05409 (2021) - [i72]Huiming Chen, Huandong Wang, Quanming Yao, Yong Li, Depeng Jin, Qiang Yang:
LoSAC: An Efficient Local Stochastic Average Control Method for Federated Optimization. CoRR abs/2112.07839 (2021) - 2020
- [i71]Yang Liu, Anbu Huang, Yun Luo, He Huang, Youzhi Liu, Yuanyuan Chen, Lican Feng, Tianjian Chen, Han Yu, Qiang Yang:
FedVision: An Online Visual Object Detection Platform Powered by Federated Learning. CoRR abs/2001.06202 (2020) - [i70]Anbu Huang, Yuanyuan Chen, Yang Liu, Tianjian Chen, Qiang Yang:
RPN: A Residual Pooling Network for Efficient Federated Learning. CoRR abs/2001.08600 (2020) - [i69]Mengjing Chen, Yang Liu, Weiran Shen, Yiheng Shen, Pingzhong Tang, Qiang Yang:
Mechanism Design for Multi-Party Machine Learning. CoRR abs/2001.08996 (2020) - [i68]Yilun Jin, Xiguang Wei, Yang Liu, Qiang Yang:
A Survey towards Federated Semi-supervised Learning. CoRR abs/2002.11545 (2020) - [i67]Lingjuan Lyu, Han Yu, Qiang Yang:
Threats to Federated Learning: A Survey. CoRR abs/2003.02133 (2020) - [i66]Yinghua Zhang, Yu Zhang, Ying Wei, Kun Bai, Yangqiu Song, Qiang Yang:
Fisher Deep Domain Adaptation. CoRR abs/2003.05636 (2020) - [i65]Yuanfei Luo, Hao Zhou, Wei-Wei Tu, Yuqiang Chen, Wenyuan Dai, Qiang Yang:
Network On Network for Tabular Data Classification in Real-world Applications. CoRR abs/2005.10114 (2020) - [i64]Wenzheng Feng, Jie Zhang, Yuxiao Dong, Yu Han, Huanbo Luan, Qian Xu, Qiang Yang, Jie Tang:
Graph Random Neural Network. CoRR abs/2005.11079 (2020) - [i63]Wei Yang Bryan Lim, Jer Shyuan Ng, Zehui Xiong, Dusit Niyato, Cyril Leung, Chunyan Miao, Qiang Yang:
Incentive Mechanism Design for Resource Sharing in Collaborative Edge Learning. CoRR abs/2006.00511 (2020) - [i62]Lixin Fan, Kam Woh Ng, Ce Ju, Tianyu Zhang, Chang Liu, Chee Seng Chan, Qiang Yang:
Rethinking Privacy Preserving Deep Learning: How to Evaluate and Thwart Privacy Attacks. CoRR abs/2006.11601 (2020) - [i61]Dashan Gao, Ben Tan, Ce Ju, Vincent W. Zheng, Qiang Yang:
Privacy Threats Against Federated Matrix Factorization. CoRR abs/2007.01587 (2020) - [i60]Chaoyang He, Songze Li, Jinhyun So, Mi Zhang, Hongyi Wang, Xiaoyang Wang, Praneeth Vepakomma, Abhishek Singh, Hang Qiu, Li Shen, Peilin Zhao, Yan Kang, Yang Liu, Ramesh Raskar, Qiang Yang, Murali Annavaram, Salman Avestimehr:
FedML: A Research Library and Benchmark for Federated Machine Learning. CoRR abs/2007.13518 (2020) - [i59]Jian Han Lim, Chee Seng Chan, Kam Woh Ng, Lixin Fan, Qiang Yang:
Protect, Show, Attend and Tell: Image Captioning Model with Ownership Protection. CoRR abs/2008.11009 (2020) - [i58]Yinghua Zhang, Yangqiu Song, Jian Liang, Kun Bai, Qiang Yang:
Two Sides of the Same Coin: White-box and Black-box Attacks for Transfer Learning. CoRR abs/2008.11089 (2020) - [i57]Guangneng Hu, Qiang Yang:
PrivNet: Safeguarding Private Attributes in Transfer Learning for Recommendation. CoRR abs/2010.08187 (2020) - [i56]Di Chai, Leye Wang, Kai Chen, Qiang Yang:
FedEval: A Benchmark System with a Comprehensive Evaluation Model for Federated Learning. CoRR abs/2011.09655 (2020) - [i55]Yilun Jin, Lixin Fan, Kam Woh Ng, Ce Ju, Qiang Yang:
Rethinking Uncertainty in Deep Learning: Whether and How it Improves Robustness. CoRR abs/2011.13538 (2020) - [i54]Wenyi Xiao, Huan Zhao, Haojie Pan, Yangqiu Song, Vincent W. Zheng, Qiang Yang:
Social Explorative Attention based Recommendation for Content Distribution Platforms. CoRR abs/2012.04945 (2020) - [i53]Lingjuan Lyu, Han Yu, Xingjun Ma, Lichao Sun, Jun Zhao, Qiang Yang, Philip S. Yu:
Privacy and Robustness in Federated Learning: Attacks and Defenses. CoRR abs/2012.06337 (2020) - 2019
- [i52]Guangneng Hu, Yu Zhang, Qiang Yang:
Transfer Meets Hybrid: A Synthetic Approach for Cross-Domain Collaborative Filtering with Text. CoRR abs/1901.07199 (2019) - [i51]Hankz Hankui Zhuo, Wenfeng Feng, Qian Xu, Qiang Yang, Yufeng Lin:
Federated Reinforcement Learning. CoRR abs/1901.08277 (2019) - [i50]Kewei Cheng, Tao Fan, Yilun Jin, Yang Liu, Tianjian Chen, Qiang Yang:
SecureBoost: A Lossless Federated Learning Framework. CoRR abs/1901.08755 (2019) - [i49]Qiang Yang, Yang Liu, Tianjian Chen, Yongxin Tong:
Federated Machine Learning: Concept and Applications. CoRR abs/1902.04885 (2019) - [i48]Hugo Jair Escalante, Wei-Wei Tu, Isabelle Guyon, Daniel L. Silver, Evelyne Viegas, Yuqiang Chen, Wenyuan Dai, Qiang Yang:
AutoML @ NeurIPS 2018 challenge: Design and Results. CoRR abs/1903.05263 (2019) - [i47]Zhangjie Cao, Kaichao You, Mingsheng Long, Jianmin Wang, Qiang Yang:
Learning to Transfer Examples for Partial Domain Adaptation. CoRR abs/1903.12230 (2019) - [i46]Jindong Wang, Yiqiang Chen, Han Yu, Meiyu Huang, Qiang Yang:
Easy Transfer Learning By Exploiting Intra-domain Structures. CoRR abs/1904.01376 (2019) - [i45]Yuanfei Luo, Mengshuo Wang, Hao Zhou, Quanming Yao, Wei-Wei Tu, Yuqiang Chen, Qiang Yang, Wenyuan Dai:
AutoCross: Automatic Feature Crossing for Tabular Data in Real-World Applications. CoRR abs/1904.12857 (2019) - [i44]Xu Geng, Xiyu Wu, Lingyu Zhang, Qiang Yang, Yan Liu, Jieping Ye:
Multi-Modal Graph Interaction for Multi-Graph Convolution Network in Urban Spatiotemporal Forecasting. CoRR abs/1905.11395 (2019) - [i43]Wenyi Xiao, Huan Zhao, Haojie Pan, Yangqiu Song, Vincent W. Zheng, Qiang Yang:
Beyond Personalization: Social Content Recommendation for Creator Equality and Consumer Satisfaction. CoRR abs/1905.11900 (2019) - [i42]Di Chai, Leye Wang, Kai Chen, Qiang Yang:
Secure Federated Matrix Factorization. CoRR abs/1906.05108 (2019) - [i41]Dashan Gao, Ce Ju, Xiguang Wei, Yang Liu, Tianjian Chen, Qiang Yang:
HHHFL: Hierarchical Heterogeneous Horizontal Federated Learning for Electroencephalography. CoRR abs/1909.05784 (2019) - [i40]Jindong Wang, Yiqiang Chen, Wenjie Feng, Han Yu, Meiyu Huang, Qiang Yang:
Transfer Learning with Dynamic Distribution Adaptation. CoRR abs/1909.08531 (2019) - [i39]Wei Yang Bryan Lim, Nguyen Cong Luong, Dinh Thai Hoang, Yutao Jiao, Ying-Chang Liang, Qiang Yang, Dusit Niyato, Chunyan Miao:
Federated Learning in Mobile Edge Networks: A Comprehensive Survey. CoRR abs/1909.11875 (2019) - [i38]Xinle Liang, Yang Liu, Tianjian Chen, Ming Liu, Qiang Yang:
Federated Transfer Reinforcement Learning for Autonomous Driving. CoRR abs/1910.06001 (2019) - [i37]Jiahuan Luo, Xueyang Wu, Yun Luo, Anbu Huang, Yunfeng Huang, Yang Liu, Qiang Yang:
Real-World Image Datasets for Federated Learning. CoRR abs/1910.11089 (2019) - [i36]Yuanfeng Song, Di Jiang, Xuefang Zhao, Qian Xu, Raymond Chi-Wing Wong, Lixin Fan, Qiang Yang:
L2RS: A Learning-to-Rescore Mechanism for Automatic Speech Recognition. CoRR abs/1910.11496 (2019) - [i35]Zheng Li, Xin Li, Ying Wei, Lidong Bing, Yu Zhang, Qiang Yang:
Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning. CoRR abs/1910.14192 (2019) - [i34]Kai Yang, Tao Fan, Tianjian Chen, Yuanming Shi, Qiang Yang:
A Quasi-Newton Method Based Vertical Federated Learning Framework for Logistic Regression. CoRR abs/1912.00513 (2019) - [i33]Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista A. Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaïd Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konecný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Mariana Raykova, Hang Qi, Daniel Ramage, Ramesh Raskar, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao:
Advances and Open Problems in Federated Learning. CoRR abs/1912.04977 (2019) - [i32]Yang Liu, Yan Kang, Xinwei Zhang, Liping Li, Yong Cheng, Tianjian Chen, Mingyi Hong, Qiang Yang:
A Communication Efficient Vertical Federated Learning Framework. CoRR abs/1912.11187 (2019) - 2018
- [i31]Leye Wang, Xu Geng, Xiaojuan Ma, Feng Liu, Qiang Yang:
Crowd Flow Prediction by Deep Spatio-Temporal Transfer Learning. CoRR abs/1802.00386 (2018) - [i30]Bo Han, Quanming Yao, Yuangang Pan, Ivor W. Tsang, Xiaokui Xiao, Qiang Yang, Masashi Sugiyama:
Millionaire: A Hint-guided Approach for Crowdsourcing. CoRR abs/1802.09172 (2018) - [i29]Guangneng Hu, Yu Zhang, Qiang Yang:
LCMR: Local and Centralized Memories for Collaborative Filtering with Unstructured Text. CoRR abs/1804.06201 (2018) - [i28]Guangneng Hu, Yu Zhang, Qiang Yang:
CoNet: Collaborative Cross Networks for Cross-Domain Recommendation. CoRR abs/1804.06769 (2018) - [i27]Kaixiang Mo, Yu Zhang, Qiang Yang, Pascale Fung:
Cross-domain Dialogue Policy Transfer via Simultaneous Speech-act and Slot Alignment. CoRR abs/1804.07691 (2018) - [i26]Yinghua Zhang, Yu Zhang, Qiang Yang:
Parameter Transfer Unit for Deep Neural Networks. CoRR abs/1804.08613 (2018) - [i25]Yu Zhang, Ying Wei, Qiang Yang:
Learning to Multitask. CoRR abs/1805.07541 (2018) - [i24]Di Chai, Leye Wang, Qiang Yang:
Bike Flow Prediction with Multi-Graph Convolutional Networks. CoRR abs/1807.10934 (2018) - [i23]Leye Wang, Bin Guo, Qiang Yang:
Smart City Development with Urban Transfer Learning. CoRR abs/1808.01552 (2018) - [i22]Quanming Yao, Mengshuo Wang, Hugo Jair Escalante, Isabelle Guyon, Yi-Qi Hu, Yu-Feng Li, Wei-Wei Tu, Qiang Yang, Yang Yu:
Taking Human out of Learning Applications: A Survey on Automated Machine Learning. CoRR abs/1810.13306 (2018) - [i21]Xiawei Guo, Quanming Yao, Wei-Wei Tu, Yuqiang Chen, Wenyuan Dai, Qiang Yang:
Privacy-preserving Transfer Learning for Knowledge Sharing. CoRR abs/1811.09491 (2018) - [i20]Zheng Li, Ying Wei, Yu Zhang, Xiang Zhang, Xin Li, Qiang Yang:
Exploiting Coarse-to-Fine Task Transfer for Aspect-level Sentiment Classification. CoRR abs/1811.10999 (2018) - [i19]Han Yu, Zhiqi Shen, Chunyan Miao, Cyril Leung, Victor R. Lesser, Qiang Yang:
Building Ethics into Artificial Intelligence. CoRR abs/1812.02953 (2018) - [i18]Yang Liu, Tianjian Chen, Qiang Yang:
Secure Federated Transfer Learning. CoRR abs/1812.03337 (2018) - 2017
- [i17]Leye Wang, Xu Geng, Jintao Ke, Chen Peng, Xiaojuan Ma, Daqing Zhang, Qiang Yang:
Ridesourcing Car Detection by Transfer Learning. CoRR abs/1705.08409 (2017) - [i16]Yu Zhang, Qiang Yang:
A Survey on Multi-Task Learning. CoRR abs/1707.08114 (2017) - [i15]Ying Wei, Yu Zhang, Qiang Yang:
Learning to Transfer. CoRR abs/1708.05629 (2017) - [i14]Wenya Zhu, Kaixiang Mo, Yu Zhang, Zhangbin Zhu, Xuezheng Peng, Qiang Yang:
Flexible End-to-End Dialogue System for Knowledge Grounded Conversation. CoRR abs/1709.04264 (2017) - [i13]Weiyan Wang, Yuxiang Wu, Yu Zhang, Zhongqi Lu, Kaixiang Mo, Qiang Yang:
Integrating User and Agent Models: A Deep Task-Oriented Dialogue System. CoRR abs/1711.03697 (2017) - [i12]Kaixiang Mo, Yu Zhang, Qiang Yang, Pascale Fung:
Fine Grained Knowledge Transfer for Personalized Task-oriented Dialogue Systems. CoRR abs/1711.04079 (2017) - 2016
- [i11]Zhangjie Cao, Mingsheng Long, Qiang Yang:
Transitive Hashing Network for Heterogeneous Multimedia Retrieval. CoRR abs/1608.04307 (2016) - [i10]Zhongqi Lu, Qiang Yang:
Partially Observable Markov Decision Process for Recommender Systems. CoRR abs/1608.07793 (2016) - [i9]Kaixiang Mo, Shuangyin Li, Yu Zhang, Jiajun Li, Qiang Yang:
Personalizing a Dialogue System with Transfer Learning. CoRR abs/1610.02891 (2016) - 2015
- [i8]Jiezhong Qiu, Yixuan Li, Jie Tang, Zheng Lu, Hao Ye, Bo Chen, Qiang Yang, John E. Hopcroft:
The Lifecycle and Cascade of Social Messaging Groups. CoRR abs/1512.07831 (2015) - 2014
- [i7]Erheng Zhong, Evan Wei Xiang, Wei Fan, Nathan Nan Liu, Qiang Yang:
Friendship Prediction in Composite Social Networks. CoRR abs/1402.4033 (2014) - [i6]Yi Wang, Xuemin Zhao, Zhenlong Sun, Hao Yan, Lifeng Wang, Zhihui Jin, Liubin Wang, Yang Gao, Jia Zeng, Qiang Yang, Ching Law:
Towards Topic Modeling for Big Data. CoRR abs/1405.4402 (2014) - 2012
- [i5]Yin Zhu, Yu Zheng, Liuhang Zhang, Darshan Santani, Xing Xie, Qiang Yang:
Inferring Taxi Status Using GPS Trajectories. CoRR abs/1205.4378 (2012) - [i4]Zhongqi Lu, Erheng Zhong, Lili Zhao, Evan Wei Xiang, Weike Pan, Qiang Yang:
Selective Transfer Learning for Cross Domain Recommendation. CoRR abs/1210.7056 (2012) - 2010
- [i3]Xiang Wan, Can Yang, Qiang Yang, Hong Xue, Xiaodan Fan, Nelson L. S. Tang, Weichuan Yu:
BOOST: A fast approach to detecting gene-gene interactions in genome-wide case-control studies. CoRR abs/1001.5130 (2010) - 2005
- [i2]Yi-Dong Shen, Qiang Yang, Jia-Huai You, Li-Yan Yuan:
Deriving a Stationary Dynamic Bayesian Network from a Logic Program with Recursive Loops. CoRR abs/cs/0506095 (2005) - 2002
- [i1]Yi-Dong Shen, Jia-Huai You, Li-Yan Yuan, Samuel S. P. Shen, Qiang Yang:
A Dynamic Approach to Characterizing Termination of General Logic Programs. CoRR cs.LO/0204031 (2002)
Coauthor Index
[j192] [j190] [j188] [j187] [j180] [j179] [c355] [c354] [c353] [c349] [c344] [c338] [c336] [c333] [c328] [p6] [e20] [i123] [i122] [i120] [i119] [i117] [i115] [i114] [i112] [i110] [i108] [i107] [i106] [i104] [i101] [i100] [i97] [i96] [i95] [i93] [i92] [i91] [i89] [i86] [i83] [i78] [i77] [i62] [i59] [i55] [i36]
James T. Kwok
aka: James Tin-Yau Kwok
aka: James Tin-Yau Kwok
Charles Ling 0001
aka: Charles X. Ling
aka: Charles X. Ling
Hong Xue 0001
aka: Hannah Hong Xue
aka: Hannah Hong Xue
Vincent Wenchen Zheng
aka: Vincent W. Zheng
aka: Vincent W. Zheng
Hankui Zhuo
aka: Hankz Hankui Zhuo
aka: Hankz Hankui Zhuo
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