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ORCIDHan Yu 0001
Person information
- affiliation: Nanyang Technological University, School of Computer Science and Engineering, Joint NTU-UBC Research Centre of Excellence in Active Living for the Elderly, Singapore
Other persons with the same name
- Yu Han (aka: Han Yu) — disambiguation page
- Han Yu 0002 — General Electric Global Research Center, Niskayuna, NY, USA (and 1 more)
- Han Yu 0003 — University of Central Florida, School of Computer Science, Orlando, FL, USA
- Han Yu 0004
![[0000-0002-0514-2089]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-0514-2089")
— Zhongnan University of Economics and Law, School of Information and Safety Engineering, Wuhan, China - Han Yu 0005 — Shanghai Jiao Tong University, China
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2020 – today
- 2023
[j42]Jihu Wang, Yuliang Shi, Han Yu, Kun Zhang, Xinjun Wang, Zhongmin Yan, Hui Li:
Temporal Density-aware Sequential Recommendation Networks with Contrastive Learning. Expert Syst. Appl. 211: 118563 (2023)- [j41]Haizhi Yang, Tengyun Wang, Xiaoli Tang, Han Yu, Fei Liu, Hengjie Song:
Dynamically Optimizing Display Advertising Profits Under Diverse Budget Settings. IEEE Trans. Knowl. Data Eng. 35(1): 362-376 (2023) - [j40]Guangda Huzhang, Zhen-Jia Pang, Yongqing Gao, Yawen Liu, Weijie Shen, Wen-Ji Zhou, Qianying Lin, Qing Da, Anxiang Zeng, Han Yu, Yang Yu, Zhi-Hua Zhou:
AliExpress Learning-to-Rank: Maximizing Online Model Performance Without Going Online. IEEE Trans. Knowl. Data Eng. 35(2): 1214-1226 (2023) - [i45]Rakpong Kaewpuang, Suttinee Sawadsitang, Dusit Niyato, Han Yu:
Evolutionary Carrier Selection for Shared Truck Delivery Services. CoRR abs/2301.03635 (2023) - 2022
- [j39]Chunyu Hu, Yiqiang Chen, Lisha Hu, Han Yu, Dianjie Lu:
Disagreement-based class incremental random forest for sensor-based activity recognition. Knowl. Based Syst. 239: 108044 (2022) - [j38]Tengyun Wang, Haizhi Yang, Siyu Jiang, Yueyue Shi, Qianyu Li, Xiaoli Tang, Han Yu, Hengjie Song:
Kaplan-Meier Markov network: Learning the distribution of market price by censored data in online advertising. Knowl. Based Syst. 251: 109248 (2022) - [j37]Siwei Feng, Boyang Li, Han Yu, Yang Liu, Qiang Yang:
Semi-Supervised Federated Heterogeneous Transfer Learning. Knowl. Based Syst. 252: 109384 (2022) - [j36]Shangwei Guo, Tianwei Zhang, Guowen Xu, Han Yu, Tao Xiang, Yang Liu:
Topology-Aware Differential Privacy for Decentralized Image Classification. IEEE Trans. Circuits Syst. Video Technol. 32(6): 4016-4027 (2022) - [j35]Shangwei Guo, Tianwei Zhang, Han Yu, Xiaofei Xie, Lei Ma, Tao Xiang, Yang Liu:
Byzantine-Resilient Decentralized Stochastic Gradient Descent. IEEE Trans. Circuits Syst. Video Technol. 32(6): 4096-4106 (2022) - [j34]Ryan Wen Liu, Yu Guo, Jiangtian Nie, Qin Hu, Zehui Xiong, Han Yu, Mohsen Guizani:
Intelligent Edge-Enabled Efficient Multi-Source Data Fusion for Autonomous Surface Vehicles in Maritime Internet of Things. IEEE Trans. Green Commun. Netw. 6(3): 1574-1587 (2022) - [j33]Ryan Wen Liu, Maohan Liang, Jiangtian Nie, Yanli Yuan, Zehui Xiong, Han Yu, Nadra Guizani:
STMGCN: Mobile Edge Computing-Empowered Vessel Trajectory Prediction Using Spatio-Temporal Multigraph Convolutional Network. IEEE Trans. Ind. Informatics 18(11): 7977-7987 (2022) - [j32]Zelei Liu, Yuanyuan Chen, Han Yu, Yang Liu, Lizhen Cui:
GTG-Shapley: Efficient and Accurate Participant Contribution Evaluation in Federated Learning. ACM Trans. Intell. Syst. Technol. 13(4): 60:1-60:21 (2022) - [j31]Xu Guo, Han Yu, Boyang Li, Hao Wang, Pengwei Xing, Siwei Feng, Zaiqing Nie, Chunyan Miao:
Federated Learning for Personalized Humor Recognition. ACM Trans. Intell. Syst. Technol. 13(4): 68:1-68:18 (2022) - [c101]Daifei Feng, Cicilia Helena, Wei Yang Bryan Lim, Jer Shyuan Ng, Hongchao Jiang, Zehui Xiong, Jiawen Kang, Han Yu, Dusit Niyato, Chunyan Miao:
CrowdFL: A Marketplace for Crowdsourced Federated Learning. AAAI 2022: 13164-13166 - [c100]Xuan Rong Zane Ho, Wei Yang Bryan Lim, Hongchao Jiang, Jer Shyuan Ng, Han Yu, Zehui Xiong, Dusit Niyato, Chunyan Miao:
Dynamic Incentive Mechanism Design for COVID-19 Social Distancing. AAAI 2022: 13173-13175 - [c99]Rakpong Kaewpuang, Minrui Xu, Dusit Niyato, Han Yu, Zehui Xiong:
Resource Allocation in Quantum Key Distribution (QKD) for Space-Air-Ground Integrated Networks. CAMAD 2022: 71-76 - [c98]Jingxiang Qu, Ryan Wen Liu, Jiangtian Nie, Xianjun Deng, Zehui Xiong, Yang Zhang, Han Yu, Dusit Niyato:
Edge Computing-Enabled Multi-Sensor Data Fusion for Intelligent Surveillance in Maritime Transportation Systems. DASC/PiCom/CBDCom/CyberSciTech 2022: 1-8 - [c97]Shenglai Zeng, Zonghang Li, Hongfang Yu, Yihong He, Zenglin Xu, Dusit Niyato, Han Yu:
Heterogeneous Federated Learning via Grouped Sequential-to-Parallel Training. DASFAA (2) 2022: 455-471 - [c96]Yulan Gao, Ziqiang Ye, Han Yu, Zehui Xiong, Yue Xiao, Dusit Niyato:
Multi-Resource Allocation for On-Device Distributed Federated Learning Systems. GLOBECOM 2022: 160-165 - [c95]Xianshuai Cao, Yuliang Shi, Jihu Wang, Han Yu, Xinjun Wang, Zhongmin Yan:
Cross-modal Knowledge Graph Contrastive Learning for Machine Learning Method Recommendation. ACM Multimedia 2022: 3694-3702 - [e4]Bohan Li, Lin Yue, Jing Jiang, Weitong Chen, Xue Li, Guodong Long, Fei Fang, Han Yu:
Advanced Data Mining and Applications - 17th International Conference, ADMA 2021, Sydney, NSW, Australia, February 2-4, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13087, Springer 2022, ISBN 978-3-030-95404-8 [contents] - [e3]Bohan Li, Lin Yue, Jing Jiang, Weitong Chen, Xue Li, Guodong Long, Fei Fang, Han Yu:
Advanced Data Mining and Applications - 17th International Conference, ADMA 2021, Sydney, NSW, Australia, February 2-4, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13088, Springer 2022, ISBN 978-3-030-95407-9 [contents] - [i44]Yuxin Zhang, Jindong Wang, Yiqiang Chen, Han Yu, Tao Qin:
Adaptive Memory Networks with Self-supervised Learning for Unsupervised Anomaly Detection. CoRR abs/2201.00464 (2022) - [i43]Shenglai Zeng, Zonghang Li, Hongfang Yu, Yihong He, Zenglin Xu, Dusit Niyato, Han Yu:
Heterogeneous Federated Learning via Grouped Sequential-to-Parallel Training. CoRR abs/2201.12976 (2022) - [i42]Rakpong Kaewpuang, Minrui Xu, Dusit Niyato, Han Yu, Zehui Xiong:
Resource Allocation in Quantum Key Distribution (QKD) for Space-Air-Ground Integrated Networks. CoRR abs/2208.08009 (2022) - [i41]Rakpong Kaewpuang, Minrui Xu, Dusit Niyato, Han Yu, Zehui Xiong, Xuemin Sherman Shen:
Adaptive Resource Allocation in Quantum Key Distribution (QKD) for Federated Learning. CoRR abs/2208.11270 (2022) - [i40]Rakpong Kaewpuang, Minrui Xu, Wei Yang Bryan Lim, Dusit Niyato, Han Yu, Jiawen Kang, Xuemin Sherman Shen:
Cooperative Resource Management in Quantum Key Distribution (QKD) Networks for Semantic Communication. CoRR abs/2209.11957 (2022) - [i39]Napat Ngoenriang, Minrui Xu, Sucha Supittayapornpong, Dusit Niyato, Han Yu, Xuemin Shen:
Optimal Stochastic Resource Allocation for Distributed Quantum Computing. CoRR abs/2210.02886 (2022) - [i38]Napat Ngoenriang, Minrui Xu, Jiawen Kang, Dusit Niyato, Han Yu, Xuemin Shen:
DQC2O: Distributed Quantum Computing for Collaborative Optimization in Future Networks. CoRR abs/2210.02887 (2022) - [i37]Xiaoli Tang, Han Yu:
Towards Trustworthy AI-Empowered Real-Time Bidding for Online Advertisement Auctioning. CoRR abs/2210.07770 (2022) - [i36]Rakpong Kaewpuang, Minrui Xu, Dusit Niyato, Han Yu, Zehui Xiong, Jiawen Kang:
Stochastic Qubit Resource Allocation for Quantum Cloud Computing. CoRR abs/2210.12343 (2022) - [i35]Yulan Gao, Ziqiang Ye, Han Yu, Zehui Xiong, Yue Xiao, Dusit Niyato:
Multi-Resource Allocation for On-Device Distributed Federated Learning Systems. CoRR abs/2211.00481 (2022) - [i34]Shipeng Wang, Qingzhong Li, Lizhen Cui, Zhongmin Yan, Yonghui Xu, Zhuan Shi, Zhiqi Shen, Han Yu:
Towards AI-Empowered Crowdsourcing. CoRR abs/2212.14676 (2022) - 2021
- [j30]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) - [j29]Yongqing Zheng, Han Yu, Yuliang Shi, Kun Zhang, Shuai Zhen, Lizhen Cui, Cyril Leung, Chunyan Miao:
Optimizing Smart Grid Operations from the Demand Side. AI Mag. 42(2): 28-37 (2021) - [j28]Anxiang Zeng, Han Yu, Qing Da, Yusen Zhan, Yang Yu, Jingren Zhou, Chunyan Miao:
Improving Search Engine Efficiency through Contextual Factor Selection. AI Mag. 42(2): 50-58 (2021) - [j27]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) - [j26]Xiaojing Yin, Jiwei Huang, Wei He, Wei Guo, Han Yu, Lizhen Cui:
Group task allocation approach for heterogeneous software crowdsourcing tasks. Peer-to-Peer Netw. Appl. 14(3): 1736-1747 (2021) - [c94]Yuanyuan Chen, Boyang Li, Han Yu, Pengcheng Wu, Chunyan Miao:
HyDRA: Hypergradient Data Relevance Analysis for Interpreting Deep Neural Networks. AAAI 2021: 7081-7089 - [c93]Anxiang Zeng, Han Yu, Hua-Lin He, Yabo Ni, Yongliang Li, Jingren Zhou, Chunyan Miao:
Enhancing E-commerce Recommender System Adaptability with Online Deep Controllable Learning-To-Rank. AAAI 2021: 15214-15222 - [c92]Hongchao Jiang, Wei Yang Bryan Lim, Jer Shyuan Ng, Harold Ze Chie Teng, Han Yu, Zehui Xiong, Dusit Niyato, Chunyan Miao:
AI-Empowered Decision Support for COVID-19 Social Distancing. AAAI 2021: 16044-16047 - [c91]Chang Liu, Han Yu, Boyang Li, Zhiqi Shen, Zhanning Gao, Peiran Ren, Xuansong Xie, Lizhen Cui, Chunyan Miao:
Noise-Resistant Deep Metric Learning With Ranking-Based Instance Selection. CVPR 2021: 6811-6820 - [c90]Jiehuang Zhang, Ying Shu, Han Yu:
Human-Machine Interaction for Autonomous Vehicles: A Review. HCI (13) 2021: 190-201 - [c89]Ying Shu, Jiehuang Zhang, Han Yu:
Fairness in Design: A Tool for Guidance in Ethical Artificial Intelligence Design. HCI (13) 2021: 500-510 - [c88]Chang Liu, Han Yu, Zhiqi Shen, Ian Dixon, Yingxue Yu, Zhanning Gao, Pan Wang, Peiran Ren, Xuansong Xie, Lizhen Cui, Chunyan Miao:
Enhancing Viewing Experience of Generated Visual Storylines for Promotional Videos. ICME 2021: 1-6 - [c87]Harold Ze Chie Teng, Hongchao Jiang, Xuan Rong Zane Ho, Wei Yang Bryan Lim, Jer Shyuan Ng, Han Yu, Zehui Xiong, Dusit Niyato, Chunyan Miao:
Predictive Analytics for COVID-19 Social Distancing. IJCAI 2021: 5016-5019 - [c86]Han Yu, Dusit Niyato, Cyril Leung, Dong In Kim:
Opportunistic Coded Distributed Computing: An Evolutionary Game Approach. IWCMC 2021: 1430-1435 - [c85]Xu Guo, Boyang Li, Han Yu, Chunyan Miao:
Latent-Optimized Adversarial Neural Transfer for Sarcasm Detection. NAACL-HLT 2021: 5394-5407 - [c84]Xianshuai Cao, Yuliang Shi, Han Yu, Jihu Wang, Xinjun Wang, Zhongmin Yan, Zhiyong Chen:
DEKR: Description Enhanced Knowledge Graph for Machine Learning Method Recommendation. SIGIR 2021: 203-212 - [i33]Yuanyuan Chen, Boyang Li, Han Yu, Pengcheng Wu, Chunyan Miao:
HYDRA: Hypergradient Data Relevance Analysis for Interpreting Deep Neural Networks. CoRR abs/2102.02515 (2021) - [i32]Alysa Ziying Tan, Han Yu, Lizhen Cui, Qiang Yang:
Towards Personalized Federated Learning. CoRR abs/2103.00710 (2021) - [i31]Chang Liu, Han Yu, Boyang Li, Zhiqi Shen, Zhanning Gao, Peiran Ren, Xuansong Xie, Lizhen Cui, Chunyan Miao:
Noise-resistant Deep Metric Learning with Ranking-based Instance Selection. CoRR abs/2103.16047 (2021) - [i30]Xu Guo, Boyang Li, Han Yu, Chunyan Miao:
Latent-Optimized Adversarial Neural Transfer for Sarcasm Detection. CoRR abs/2104.09261 (2021) - [i29]Chang Liu, Han Yu, Boyang Li, Zhiqi Shen, Zhanning Gao, Peiran Ren, Xuansong Xie, Lizhen Cui, Chunyan Miao:
Noise-Resistant Deep Metric Learning with Probabilistic Instance Filtering. CoRR abs/2108.01431 (2021) - [i28]Zelei Liu, Yuanyuan Chen, Han Yu, Yang Liu, Lizhen Cui:
GTG-Shapley: Efficient and Accurate Participant Contribution Evaluation in Federated Learning. CoRR abs/2109.02053 (2021) - [i27]Yuan-Ai Xie, Jiawen Kang, Dusit Niyato, Nguyen Thi Thanh Van, Nguyen Cong Luong, Zhixin Liu, Han Yu:
Securing Federated Learning: A Covert Communication-based Approach. CoRR abs/2110.02221 (2021) - [i26]Yuxin Shi, Han Yu, Cyril Leung:
A Survey of Fairness-Aware Federated Learning. CoRR abs/2111.01872 (2021) - 2020
- [j25]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) - [j24]Yang Liu, Han Yu, Qiang Yang:
Introduction to the Special Issue on Federated Machine Learning. IEEE Intell. Syst. 35(4): 3-4 (2020) - [j23]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) - [j22]Siwei Feng, Han Yu, Marco F. Duarte:
Autoencoder based sample selection for self-taught learning. Knowl. Based Syst. 192: 105343 (2020) - [j21]Chang'an Yi, Yonghui Xu, Han Yu, Yuguang Yan, Yang Liu:
Multi-component transfer metric learning for handling unrelated source domain samples. Knowl. Based Syst. 203: 106132 (2020) - [j20]Liang Zou, Xinhui Yu, Ming Li, Meng Lei, Han Yu:
Nondestructive Identification of Coal and Gangue via Near-Infrared Spectroscopy Based on Improved Broad Learning. IEEE Trans. Instrum. Meas. 69(10): 8043-8052 (2020) - [j19]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) - [j18]Lingjuan Lyu, Jiangshan Yu, Karthik Nandakumar, Yitong Li, Xingjun Ma, Jiong Jin, Han Yu, Kee Siong Ng:
Towards Fair and Privacy-Preserving Federated Deep Models. IEEE Trans. Parallel Distributed Syst. 31(11): 2524-2541 (2020) - [c83]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 - [c82]Anxiang Zeng, Han Yu, Qing Da, Yusen Zhan, Chunyan Miao:
Accelerating Ranking in E-Commerce Search Engines through Contextual Factor Selection. AAAI 2020: 13212-13219 - [c81]Yongqing Zheng, Han Yu, Yuliang Shi, Kun Zhang, Shuai Zhen, Lizhen Cui, Cyril Leung, Chunyan Miao:
PIDS: An Intelligent Electric Power Management Platform. AAAI 2020: 13220-13227 - [c80]Zichao Deng, Anqi Tu, Zelei Liu, Han Yu:
Efficient Spatial-Temporal Rebalancing of Shareable Bikes (Student Abstract). AAAI 2020: 13775-13776 - [c79]Chang Liu, Han Yu, Yi Dong, Zhiqi Shen, Yingxue Yu, Ian Dixon, Zhanning Gao, Pan Wang, Peiran Ren, Xuansong Xie, Lizhen Cui, Chunyan Miao:
Generating Engaging Promotional Videos for E-commerce Platforms (Student Abstract). AAAI 2020: 13865-13866 - [c78]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 - [c77]Qianwen Meng, Lizhen Cui, Guoxian Yu, Han Yu, Wei Guo, Hui Li:
CLUE: Personalized Hospital Readmission Prediction Against Data Insufficiency under Imbalanced-Data Environment. BIBM 2020: 469-472 - [c76]Chang Liu, Zhao Yong Lim, Han Yu, Zhiqi Shen, Ian Dixon, Zhanning Gao, Pan Wang, Peiran Ren, Xuansong Xie, Lizhen Cui, Chunyan Miao:
An AI-empowered Visual Storyline Generator. IJCAI 2020: 5267-5269 - [c75]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 - [c74]Harrison Jun Yong Wong, Zichao Deng, Han Yu, Jianqiang Huang, Cyril Leung, Chunyan Miao:
A Testbed for Studying COVID-19 Spreading in Ride-Sharing Systems. IJCAI 2020: 5294-5296 - [p6]Lingjuan Lyu, Han Yu, Jun Zhao, Qiang Yang:
Threats to Federated Learning. Federated Learning 2020: 3-16 - [p5]Yiqiang Chen, Xiaodong Yang, Xin Qin, Han Yu, Piu Chan, Zhiqi Shen:
Dealing with Label Quality Disparity in Federated Learning. Federated Learning 2020: 108-121 - [p4]Yuan Liu, Zhengpeng Ai, Shuai Sun, Shuangfeng Zhang, Zelei Liu, Han Yu:
FedCoin: A Peer-to-Peer Payment System for Federated Learning. Federated Learning 2020: 125-138 - [p3]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 - [p2]Lingjuan Lyu, Xinyi Xu, Qian Wang, Han Yu:
Collaborative Fairness in Federated Learning. Federated Learning 2020: 189-204 - [p1]Mingshu Cong, Han Yu, Xi Weng, Siu-Ming Yiu:
A Game-Theoretic Framework for Incentive Mechanism Design in Federated Learning. Federated Learning 2020: 205-222 - [e2]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] - [i25]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) - [i24]Siwei Feng, Han Yu:
Multi-Participant Multi-Class Vertical Federated Learning. CoRR abs/2001.11154 (2020) - [i23]Yiqiang Chen, Xiaodong Yang, Xin Qin, Han Yu, Biao Chen, Zhiqi Shen:
FOCUS: Dealing with Label Quality Disparity in Federated Learning. CoRR abs/2001.11359 (2020) - [i22]Yuan Liu, Shuai Sun, Zhengpeng Ai, Shuangfeng Zhang, Zelei Liu, Han Yu:
FedCoin: A Peer-to-Peer Payment System for Federated Learning. CoRR abs/2002.11711 (2020) - [i21]Lingjuan Lyu, Han Yu, Qiang Yang:
Threats to Federated Learning: A Survey. CoRR abs/2003.02133 (2020) - [i20]Ce Ju, Ruihui Zhao, Jichao Sun, Xiguang Wei, Bo Zhao, Yang Liu, Hongshan Li, Tianjian Chen, Xinwei Zhang, Dashan Gao, Ben Tan, Han Yu, Yuan Jin:
Privacy-Preserving Technology to Help Millions of People: Federated Prediction Model for Stroke Prevention. CoRR abs/2006.10517 (2020) - [i19]Mingshu Cong, Xi Weng, Han Yu, Jiabao Qu, Siu-Ming Yiu:
Optimal Procurement Auction for Cooperative Production of Virtual Products: Vickrey-Clarke-Groves Meet Cremer-McLean. CoRR abs/2007.14780 (2020) - [i18]Guanlin Li, Chang Liu, Han Yu, Yanhong Fan, Libang Zhang, Zongyue Wang, Meiqin Wang:
SCNet: A Neural Network for Automated Side-Channel Attack. CoRR abs/2008.00476 (2020) - [i17]Mingshu Cong, Han Yu, Xi Weng, Jiabao Qu, Yang Liu, Siu-Ming Yiu:
A VCG-based Fair Incentive Mechanism for Federated Learning. CoRR abs/2008.06680 (2020) - [i16]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)
2010 – 2019
- 2019
- [b1]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 - [j17]Siyu Jiang, Yonghui Xu, Tengyun Wang, Haizhi Yang, Shaojian Qiu, Han Yu, Hengjie Song:
Multi-Label Metric Transfer Learning Jointly Considering Instance Space and Label Space Distribution Divergence. IEEE Access 7: 10362-10373 (2019) - [j16]Tengyun Wang, Haizhi Yang, Han Yu, Wenjun Zhou, Yang Liu, Hengjie Song:
A Revenue-Maximizing Bidding Strategy for Demand-Side Platforms. IEEE Access 7: 68692-68706 (2019) - [j15]Yiqiang Chen, Jindong Wang, Meiyu Huang, Han Yu:
Cross-position activity recognition with stratified transfer learning. Pervasive Mob. Comput. 57: 1-13 (2019) - [j14]Wei Wang, Vincent W. Zheng, Han Yu, Chunyan Miao:
A Survey of Zero-Shot Learning: Settings, Methods, and Applications. ACM Trans. Intell. Syst. Technol. 10(2): 13:1-13:37 (2019) - [j13]Chunyu Hu, Yiqiang Chen, Xiaohui Peng, Han Yu, Chenlong Gao, Lisha Hu:
A Novel Feature Incremental Learning Method for Sensor-Based Activity Recognition. IEEE Trans. Knowl. Data Eng. 31(6): 1038-1050 (2019) - [c73]Zelei Liu, Han Yu, Leye Wang, Liang Hu, Qiang Yang:
Ethically Aligned Mobilization of Community Effort to Reposition Shared Bikes. AAAI 2019: 9983-9984 - [c72]Han Yu, Chunyan Miao, Yongqing Zheng, Lizhen Cui, Simon Fauvel, Cyril Leung:
Ethically Aligned Opportunistic Scheduling for Productive Laziness. AIES 2019: 45-51 - [c71]Jiawen Kang, Zehui Xiong, Dusit Niyato, Han Yu, Ying-Chang Liang, Dong In Kim:
Incentive Design for Efficient Federated Learning in Mobile Networks: A Contract Theory Approach. APWCS 2019: 1-5 - [c70]Zelei Liu, Han Yu, Leye Wang, Liang Hu, Qiang Yang:
Social Mobilization to Reposition Indiscriminately Parked Shareable Bikes. AAMAS 2019: 2099-2101 - [c69]Han Yu, Zhiqi Shen, Lizhen Cui, Yongqing Zheng, Victor R. Lesser:
Ethically Aligned Multi-agent Coordination to Enhance Social Welfare. AAMAS 2019: 2300-2302 - [c68]Dashan Gao, Yang Liu, Anbu Huang, Ce Ju, Han Yu, Qiang Yang:
Privacy-preserving Heterogeneous Federated Transfer Learning. IEEE BigData 2019: 2552-2559 - [c67]Chang Liu, Yi Dong, Han Yu, Zhiqi Shen, Zhanning Gao, Pan Wang, Changgong Zhang, Peiran Ren, Xuansong Xie, Lizhen Cui, Chunyan Miao:
Generating Persuasive Visual Storylines for Promotional Videos. CIKM 2019: 901-910 - [c66]Teng Wang, Jun Zhao, Han Yu, Jinyan Liu, Xinyu Yang, Xuebin Ren, Shuyu Shi:
Privacy-preserving Crowd-guided AI Decision-making in Ethical Dilemmas. CIKM 2019: 1311-1320 - [c65]Jie Wei Kong, Yonghui Xu, Han Yu:
Deep Transfer Learning For Abnormality Detection. ICCSE 2019: 233-237 - [c64]Jindong Wang, Yiqiang Chen, Han Yu, Meiyu Huang, Qiang Yang:
Easy Transfer Learning By Exploiting Intra-Domain Structures. ICME 2019: 1210-1215 - [c63]Xu Guo, Han Yu, Chunyan Miao, Yiqiang Chen:
Agent-based Decision Support for Pain Management in Primary Care Settings. IJCAI 2019: 6521-6523 - [c62]Xiguang Wei, Quan Li, Yang Liu, Han Yu, Tianjian Chen, Qiang Yang:
Multi-Agent Visualization for Explaining Federated Learning. IJCAI 2019: 6572-6574 - [c61]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 - [c60]Anxiang Zeng, Han Yu, Xin Gao, Kairi Ou, Zhenchuan Huang, Peng Hou, Mingli Song, Jingshu Zhang, Chunyan Miao:
An Online Intelligent Visual Interaction System. IJCAI 2019: 6578-6580 - [c59]Yongqing Zheng, Han Yu, Kun Zhang, Yuliang Shi, Cyril Leung, Chunyan Miao:
Intelligent Decision Support for Improving Power Management.