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ORCIDJian Pei 0001
Person information
- affiliation: Duke University, Department of Computer Science, Durham, NC, USA
- affiliation (PhD 2002): Simon Fraser University, School of Computing Science, Burnaby, BC, Canada
- affiliation (former): State University of New York at Buffalo, NY, USA
Other persons with the same name
- Jian Pei — disambiguation page
- Jian Pei 0002
![[0009-0002-7966-1380]](https://dblp.org/img/orcid-mark.12x12.png "0009-0002-7966-1380")
— Ningbo University, Faculty of Electrical Engineering and Computer Science, Ningbo, China - Jian Pei 0003 — Changchun Institute of Optics, Fine Mechanics and Physics (CIOMP), Changchun, China (and 1 more)
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2020 – today
- 2025
[j188]Junyuan Pang, Jian Pei, Haocheng Xia, Xiang Li, Jinfei Liu:
Shapley Value Estimation based on Differential Matrix. Proc. ACM Manag. Data 3(1): 75:1-75:28 (2025)- [j187]Qiqi Zhang, Lingyang Chu, Zijin Zhao, Jian Pei:
Finding Antagonistic Communities in Signed Uncertain Graphs. IEEE Trans. Knowl. Data Eng. 37(2): 655-669 (2025) - [i97]Yue Huang, Chujie Gao, Siyuan Wu, Haoran Wang, Xiangqi Wang, Yujun Zhou, Yanbo Wang, Jiayi Ye, Jiawen Shi, Qihui Zhang, Yuan Li, Han Bao, Zhaoyi Liu, Tianrui Guan, Dongping Chen, Ruoxi Chen, Kehan Guo, Andy Zou, Bryan Hooi Kuen-Yew, Caiming Xiong, Elias Stengel-Eskin, Hongyang Zhang, Hongzhi Yin, Huan Zhang, Huaxiu Yao, Jaehong Yoon, Jieyu Zhang, Kai Shu, Kaijie Zhu, Ranjay Krishna, Swabha Swayamdipta, Taiwei Shi, Weijia Shi, Xiang Li, Yiwei Li, Yuexing Hao, Zhihao Jia, Zhize Li, Xiuying Chen, Zhengzhong Tu, Xiyang Hu, Tianyi Zhou, Jieyu Zhao, Lichao Sun, Furong Huang, Or Cohen Sasson, Prasanna Sattigeri, Anka Reuel, Max Lamparth, Yue Zhao, Nouha Dziri, Yu Su, Huan Sun, Heng Ji, Chaowei Xiao, Mohit Bansal, Nitesh V. Chawla, Jian Pei, Jianfeng Gao, Michael Backes, Philip S. Yu, Neil Zhenqiang Gong, Pin-Yu Chen, Bo Li, Xiangliang Zhang:
On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective. CoRR abs/2502.14296 (2025) - 2024
- [j186]Minxing Zhang, Jian Pei:
Protecting Data Buyer Privacy in Data Markets. IEEE Internet Comput. 28(4): 14-20 (2024) - [j185]Xuan Luo, Jian Pei, Cheng Xu, Wenjie Zhang, Jianliang Xu:
Fast Shapley Value Computation in Data Assemblage Tasks as Cooperative Simple Games. Proc. ACM Manag. Data 2(1): 56:1-56:28 (2024) - [j184]Kai Shen, Lingfei Wu, Siliang Tang, Fangli Xu, Bo Long, Yueting Zhuang, Jian Pei:
Ask Questions With Double Hints: Visual Question Generation With Answer-Awareness and Region-Reference. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 9648-9660 (2024) - [j183]He Zhang, Bang Wu, Xingliang Yuan, Shirui Pan, Hanghang Tong, Jian Pei:
Trustworthy Graph Neural Networks: Aspects, Methods, and Trends. Proc. IEEE 112(2): 97-139 (2024) - [j182]Naili Xing, Shaofeng Cai, Gang Chen, Zhaojing Luo, Beng Chin Ooi, Jian Pei:
Database Native Model Selection: Harnessing Deep Neural Networks in Database Systems. Proc. VLDB Endow. 17(5): 1020-1033 (2024) - [j181]Michelle Si, Jian Pei:
Counterfactual Explanation of the Shapley Value in Data Coalitions. Proc. VLDB Endow. 17(11): 3332-3345 (2024) - [j180]Lingze Zeng, Naili Xing, Shaofeng Cai, Gang Chen, Beng Chin Ooi, Jian Pei, Yuncheng Wu:
Powering In-Database Dynamic Model Slicing for Structured Data Analytics. Proc. VLDB Endow. 17(13): 4813-4826 (2024) - [j179]Zicun Cong, Baoxu Shi, Shan Li, Jaewon Yang, Qi He, Jian Pei:
FairSample: Training Fair and Accurate Graph Convolutional Neural Networks Efficiently. IEEE Trans. Knowl. Data Eng. 36(4): 1537-1551 (2024) - [j178]Huijia Li, Haobin Cao, Yuhao Feng, Xiaoyan Li, Jian Pei:
Optimization of Graph Clustering Inspired by Dynamic Belief Systems. IEEE Trans. Knowl. Data Eng. 36(11): 6773-6785 (2024) - [j177]Qiheng Sun, Jiayao Zhang, Jinfei Liu, Li Xiong, Jian Pei, Kui Ren:
Shapley Value Approximation Based on Complementary Contribution. IEEE Trans. Knowl. Data Eng. 36(12): 9263-9281 (2024) - [j176]Qi Shen, Lingfei Wu, Yiming Zhang, Yitong Pang, Zhihua Wei, Fangli Xu, Bo Long, Jian Pei:
Multi-Interest Multi-Round Conversational Recommendation System with Fuzzy Feedback Based User Simulator. Trans. Recomm. Syst. 2(4): 27:1-27:29 (2024) - [c280]Roy Xie, Junlin Wang, Ruomin Huang, Minxing Zhang, Rong Ge, Jian Pei, Neil Gong, Bhuwan Dhingra:
ReCaLL: Membership Inference via Relative Conditional Log-Likelihoods. EMNLP 2024: 8671-8689 - [c279]Zhenan Fan, Huang Fang, Xinglu Wang, Zirui Zhou, Jian Pei, Michael P. Friedlander, Yong Zhang:
Fair and Efficient Contribution Valuation for Vertical Federated Learning. ICLR 2024 - [c278]Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, Joaquin Vanschoren, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yong Chen, Yue Zhao:
Position: TrustLLM: Trustworthiness in Large Language Models. ICML 2024 - [c277]Feida Zhu, Jian Pei, Michael Zeller, Bingxue Zhang:
The Fourth International Workshop on Smart Data for Blockchain and Distributed Ledger (SDBD'24). KDD 2024: 6757-6758 - [c276]João Matos, Jack Gallifant, Jian Pei, An-Kwok Ian Wong:
EHRmonize: A Framework for Medical Concept Abstraction from Electronic Health Records using Large Language Models. AMAI@MICCAI 2024: 210-220 - [c275]Xuan Luo, Jian Pei:
Applications and Computation of the Shapley Value in Databases and Machine Learning. SIGMOD Conference Companion 2024: 630-635 - [c274]Jiahao Zhang, Rui Xue, Wenqi Fan, Xin Xu, Qing Li, Jian Pei, Xiaorui Liu:
Linear-Time Graph Neural Networks for Scalable Recommendations. WWW 2024: 3533-3544 - [e29]Lu Fang, Jian Pei, Guangtao Zhai, Ruiping Wang:
Artificial Intelligence - Third CAAI International Conference, CICAI 2023, Fuzhou, China, July 22-23, 2023, Revised Selected Papers, Part I. Lecture Notes in Computer Science 14473, Springer 2024, ISBN 978-981-99-8849-5 [contents] - [e28]Lu Fang, Jian Pei, Guangtao Zhai, Ruiping Wang:
Artificial Intelligence - Third CAAI International Conference, CICAI 2023, Fuzhou, China, July 22-23, 2023, Revised Selected Papers, Part II. Lecture Notes in Computer Science 14474, Springer 2024, ISBN 978-981-99-9118-1 [contents] - [e27]De-Nian Yang, Xing Xie, Vincent S. Tseng, Jian Pei, Jen-Wei Huang, Jerry Chun-Wei Lin:
Advances in Knowledge Discovery and Data Mining - 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan, May 7-10, 2024, Proceedings, Part I. Lecture Notes in Computer Science 14645, Springer 2024, ISBN 978-981-97-2241-9 [contents] - [e26]De-Nian Yang, Xing Xie, Vincent S. Tseng, Jian Pei, Jen-Wei Huang, Jerry Chun-Wei Lin:
Advances in Knowledge Discovery and Data Mining - 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan, May 7-10, 2024, Proceedings, Part II. Lecture Notes in Computer Science 14646, Springer 2024, ISBN 978-981-97-2252-5 [contents] - [e25]De-Nian Yang, Xing Xie, Vincent S. Tseng, Jian Pei, Jen-Wei Huang, Jerry Chun-Wei Lin:
Advances in Knowledge Discovery and Data Mining - 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan, May 7-10, 2024, Proceedings, Part III. Lecture Notes in Computer Science 14647, Springer 2024, ISBN 978-981-97-2261-7 [contents] - [e24]De-Nian Yang, Xing Xie, Vincent S. Tseng, Jian Pei, Jen-Wei Huang, Jerry Chun-Wei Lin:
Advances in Knowledge Discovery and Data Mining - 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan, May 7-10, 2024, Proceedings, Part IV. Lecture Notes in Computer Science 14648, Springer 2024, ISBN 978-981-97-2240-2 [contents] - [e23]De-Nian Yang, Xing Xie, Vincent S. Tseng, Jian Pei, Jen-Wei Huang, Jerry Chun-Wei Lin:
Advances in Knowledge Discovery and Data Mining - 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan, May 7-10, 2024, Proceedings, Part V. Lecture Notes in Computer Science 14649, Springer 2024, ISBN 978-981-97-2264-8 [contents] - [e22]De-Nian Yang, Xing Xie, Vincent S. Tseng, Jian Pei, Jen-Wei Huang, Jerry Chun-Wei Lin:
Advances in Knowledge Discovery and Data Mining - 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan, May 7-10, 2024, Proceedings, Part VI. Lecture Notes in Computer Science 14650, Springer 2024, ISBN 978-981-97-2265-5 [contents] - [i96]Lichao Sun, Yue Huang, Haoran Wang, Siyuan Wu, Qihui Zhang, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yue Zhao:
TrustLLM: Trustworthiness in Large Language Models. CoRR abs/2401.05561 (2024) - [i95]Zicun Cong, Baoxu Shi, Shan Li, Jaewon Yang, Qi He, Jian Pei:
FairSample: Training Fair and Accurate Graph Convolutional Neural Networks Efficiently. CoRR abs/2401.14702 (2024) - [i94]Jiahao Zhang, Rui Xue, Wenqi Fan, Xin Xu, Qing Li, Jian Pei, Xiaorui Liu:
Linear-Time Graph Neural Networks for Scalable Recommendations. CoRR abs/2402.13973 (2024) - [i93]Naili Xing, Shaofeng Cai, Zhaojing Luo, Beng Chin Ooi, Jian Pei:
Anytime Neural Architecture Search on Tabular Data. CoRR abs/2403.10318 (2024) - [i92]Lingze Zeng, Naili Xing, Shaofeng Cai, Gang Chen, Beng Chin Ooi, Jian Pei, Yuncheng Wu:
Powering In-Database Dynamic Model Slicing for Structured Data Analytics. CoRR abs/2405.00568 (2024) - [i91]Zaitian Wang, Pengfei Wang, Kunpeng Liu, Pengyang Wang, Yanjie Fu, Chang-Tien Lu, Charu C. Aggarwal, Jian Pei, Yuanchun Zhou:
A Comprehensive Survey on Data Augmentation. CoRR abs/2405.09591 (2024) - [i90]Roy Xie, Junlin Wang, Ruomin Huang, Minxing Zhang, Rong Ge, Jian Pei, Neil Zhenqiang Gong, Bhuwan Dhingra:
ReCaLL: Membership Inference via Relative Conditional Log-Likelihoods. CoRR abs/2406.15968 (2024) - [i89]João Matos, Jack Gallifant, Jian Pei, An-Kwok Ian Wong:
EHRmonize: A Framework for Medical Concept Abstraction from Electronic Health Records using Large Language Models. CoRR abs/2407.00242 (2024) - [i88]Kai Shen, Lingfei Wu, Siliang Tang, Fangli Xu, Bo Long, Yueting Zhuang, Jian Pei:
Ask Questions with Double Hints: Visual Question Generation with Answer-awareness and Region-reference. CoRR abs/2407.05100 (2024) - [i87]Minxing Zhang, Jian Pei:
Protecting Data Buyer Privacy in Data Markets. CoRR abs/2407.09771 (2024) - [i86]Jiayao Zhang, Yuran Bi, Mengye Cheng, Jinfei Liu, Kui Ren, Qiheng Sun, Yihang Wu, Yang Cao, Raul Castro Fernandez, Haifeng Xu, Ruoxi Jia, Yongchan Kwon, Jian Pei, Jiachen T. Wang, Haocheng Xia, Li Xiong, Xiaohui Yu, James Zou:
A Survey on Data Markets. CoRR abs/2411.07267 (2024) - [i85]Haixu Wang, Jiguo Cao, Jian Pei:
Representation learning of dynamic networks. CoRR abs/2412.11065 (2024) - 2023
- [j175]Zhifeng Bao, Panagiotis Bouros, Reynold Cheng, Byron Choi, Anton Dignös, Wei Ding, Yixiang Fang, Boyang Han, Jilin Hu, Arijit Khan, Wenqing Lin, Xuemin Lin, Cheng Long, Nikos Mamoulis, Jian Pei, Matthias Renz, Shashi Shekhar, Jieming Shi, Eleni Tzirita Zacharatou, Sibo Wang, Xiao Wang, Xue Wang, Raymond Chi-Wing Wong, Da Yan, Xifeng Yan, Bin Yang, Dezhong Yao, Ce Zhang, Peilin Zhao, Rong Zhu:
A Summary of ICDE 2022 Research Session Panels. IEEE Data Eng. Bull. 47(4): 4-17 (2023) - [j174]Lingfei Wu, Yu Chen, Kai Shen, Xiaojie Guo, Hanning Gao, Shucheng Li, Jian Pei, Bo Long:
Graph Neural Networks for Natural Language Processing: A Survey. Found. Trends Mach. Learn. 16(2): 119-328 (2023) - [j173]Jiayao Zhang, Qiheng Sun, Jinfei Liu, Li Xiong, Jian Pei, Kui Ren:
Efficient Sampling Approaches to Shapley Value Approximation. Proc. ACM Manag. Data 1(1): 48:1-48:24 (2023) - [j172]Jian Pei, Raul Castro Fernandez, Xiaohui Yu:
Data and AI Model Markets: Opportunities for Data and Model Sharing, Discovery, and Integration. Proc. VLDB Endow. 16(12): 3872-3873 (2023) - [j171]Changxin Liu, Zirui Zhou, Jian Pei, Yong Zhang, Yang Shi:
Decentralized Composite Optimization in Stochastic Networks: A Dual Averaging Approach With Linear Convergence. IEEE Trans. Autom. Control. 68(8): 4650-4665 (2023) - [j170]Huijia Li, Wenzhe Xu, Chenyang Qiu, Jian Pei:
Fast Markov Clustering Algorithm Based on Belief Dynamics. IEEE Trans. Cybern. 53(6): 3716-3725 (2023) - [j169]Honglu Jiang, Jian Pei, Dongxiao Yu, Jiguo Yu, Bei Gong, Xiuzhen Cheng:
Applications of Differential Privacy in Social Network Analysis: A Survey. IEEE Trans. Knowl. Data Eng. 35(1): 108-127 (2023) - [j168]Ziwei Zhang, Peng Cui, Jian Pei, Xin Wang, Wenwu Zhu:
Eigen-GNN: A Graph Structure Preserving Plug-in for GNNs. IEEE Trans. Knowl. Data Eng. 35(3): 2544-2555 (2023) - [j167]Lianghao Xia, Chao Huang, Yong Xu, Jian Pei:
Multi-Behavior Sequential Recommendation With Temporal Graph Transformer. IEEE Trans. Knowl. Data Eng. 35(6): 6099-6112 (2023) - [j166]Ziwei Zhang, Chenhao Niu, Peng Cui, Jian Pei, Bo Zhang, Wenwu Zhu:
Permutation-Equivariant and Proximity-Aware Graph Neural Networks With Stochastic Message Passing. IEEE Trans. Knowl. Data Eng. 35(6): 6182-6193 (2023) - [j165]Haolun Shi, Mohammad A. Tayebi, Jian Pei, Jiguo Cao:
Cost-Sensitive Learning for Medical Insurance Fraud Detection With Temporal Information. IEEE Trans. Knowl. Data Eng. 35(10): 10451-10463 (2023) - [j164]Honglu Jiang, Haotian Yu, Xiuzhen Cheng, Jian Pei, Robert Pless, Jiguo Yu:
DP2-Pub: Differentially Private High-Dimensional Data Publication With Invariant Post Randomization. IEEE Trans. Knowl. Data Eng. 35(10): 10831-10844 (2023) - [j163]Ruihong Huang, Jianmin Wang, Shaoxu Song, Xuemin Lin, Xiaochen Zhu, Jian Pei:
Efficiently Cleaning Structured Event Logs: A Graph Repair Approach. ACM Trans. Database Syst. 48(1): 3:1-3:44 (2023) - [c273]Sifan Wu, Ruihui Zhao, Yefeng Zheng, Jian Pei, Bang Liu:
Identify Event Causality with Knowledge and Analogy. AAAI 2023: 13745-13753 - [c272]Zenan Xu, Linjun Shou, Jian Pei, Ming Gong, Qinliang Su, Xiaojun Quan, Daxin Jiang:
A Graph Fusion Approach for Cross-Lingual Machine Reading Comprehension. AAAI 2023: 13861-13868 - [c271]Nuo Chen, Linjun Shou, Tengtao Song, Ming Gong, Jian Pei, Jianhui Chang, Daxin Jiang, Jia Li:
Structural Contrastive Pretraining for Cross-Lingual Comprehension. ACL (Findings) 2023: 2042-2057 - [c270]Nuo Chen, Linjun Shou, Jian Pei, Ming Gong, Bowen Cao, Jianhui Chang, Jia Li, Daxin Jiang:
Alleviating Over-smoothing for Unsupervised Sentence Representation. ACL (1) 2023: 3552-3566 - [c269]Huanfei Wang, Qian Zhu, Jian Pei:
Clinical Assessment of Pneumocystosis with MIMIC Data. BIBM 2023: 2751-2753 - [c268]Ning Wu, Ming Gong, Linjun Shou, Jian Pei, Daxin Jiang:
RUEL: Retrieval-Augmented User Representation with Edge Browser Logs for Sequential Recommendation. CIKM 2023: 4871-4878 - [c267]Hao Zou, Haotian Wang, Renzhe Xu, Bo Li, Jian Pei, Ye Jun Jian, Peng Cui:
Factual Observation Based Heterogeneity Learning for Counterfactual Prediction. CLeaR 2023: 350-370 - [c266]Jiayao Zhang, Haocheng Xia, Qiheng Sun, Jinfei Liu, Li Xiong, Jian Pei, Kui Ren:
Dynamic Shapley Value Computation. ICDE 2023: 639-652 - [c265]Lianghao Xia, Yizhen Shao, Chao Huang, Yong Xu, Huance Xu, Jian Pei:
Disentangled Graph Social Recommendation. ICDE 2023: 2332-2344 - [c264]Rui Xue, Haoyu Han, MohamadAli Torkamani, Jian Pei, Xiaorui Liu:
LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation. ICML 2023: 38926-38937 - [c263]Xidong Wu, Zhengmian Hu, Jian Pei, Heng Huang:
Serverless Federated AUPRC Optimization for Multi-Party Collaborative Imbalanced Data Mining. KDD 2023: 2648-2659 - [c262]Lingfei Wu, Peng Cui, Jian Pei, Liang Zhao, Xiaojie Guo:
Graph Neural Networks: Foundation, Frontiers and Applications. KDD 2023: 5831-5832 - [c261]Lingfei Wu, Jian Pei, Jiliang Tang, Yinglong Xia, Xiaojie Guo:
Deep Learning on Graphs: Methods and Applications (DLG-KDD2023). KDD 2023: 5891-5892 - [c260]Thuc Duy Le, Jiuyong Li, Robert Ness, Sofia Triantafillou, Shohei Shimizu, Peng Cui, Kun Kuang, Jian Pei, Fei Wang, Mattia Prosperi:
Preface: The 2023 ACM SIGKDD Workshop on Causal Discovery, Prediction and Decision. CDPD 2023: 1-2 - [c259]Shengyao Zhuang, Linjun Shou, Jian Pei, Ming Gong, Houxing Ren, Guido Zuccon, Daxin Jiang:
Typos-aware Bottlenecked Pre-Training for Robust Dense Retrieval. SIGIR-AP 2023: 212-222 - [c258]Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espín-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Küçük-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu:
Tutorials at The Web Conference 2023. WWW (Companion Volume) 2023: 648-658 - [c257]Jie Peng, Hao Zou, Jiashuo Liu, Shaoming Li, Yibao Jiang, Jian Pei, Peng Cui:
Offline Policy Evaluation in Large Action Spaces via Outcome-Oriented Action Grouping. WWW 2023: 1220-1230 - [e21]Thuc Duy Le, Jiuyong Li, Robert Ness, Sofia Triantafillou, Shohei Shimizu, Peng Cui, Kun Kuang, Jian Pei, Fei Wang, Mattia Prosperi:
The KDD'23 Workshop on Causal Discovery, Prediction and Decision, 07 August 2023, Long Beach, CA, USA. Proceedings of Machine Learning Research 218, PMLR 2023 [contents] - [i84]Rui Xue, Haoyu Han, MohamadAli Torkamani, Jian Pei, Xiaorui Liu:
LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation. CoRR abs/2302.01503 (2023) - [i83]Tanmoy Chowdhury, Chen Ling, Xuchao Zhang, Xujiang Zhao, Guangji Bai, Jian Pei, Haifeng Chen, Liang Zhao:
Knowledge-enhanced Neural Machine Reasoning: A Review. CoRR abs/2302.02093 (2023) - [i82]Nuo Chen, Linjun Shou, Ming Gong, Jian Pei, Chenyu You, Jianhui Chang, Daxin Jiang, Jia Li:
Bridge the Gap between Language models and Tabular Understanding. CoRR abs/2302.09302 (2023) - [i81]Ce Zhou, Qian Li, Chen Li, Jun Yu, Yixin Liu, Guangjing Wang, Kai Zhang, Cheng Ji, Qiben Yan, Lifang He, Hao Peng, Jianxin Li, Jia Wu, Ziwei Liu, Pengtao Xie, Caiming Xiong, Jian Pei, Philip S. Yu, Lichao Sun:
A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT. CoRR abs/2302.09419 (2023) - [i80]Lianghao Xia, Yizhen Shao, Chao Huang, Yong Xu, Huance Xu, Jian Pei:
Disentangled Graph Social Recommendation. CoRR abs/2303.07810 (2023) - [i79]Houxing Ren, Linjun Shou, Jian Pei, Ning Wu, Ming Gong, Daxin Jiang:
Lexicon-Enhanced Self-Supervised Training for Multilingual Dense Retrieval. CoRR abs/2303.14979 (2023) - [i78]Shengyao Zhuang, Linjun Shou, Jian Pei, Ming Gong, Houxing Ren, Guido Zuccon, Daxin Jiang:
Typos-aware Bottlenecked Pre-Training for Robust Dense Retrieval. CoRR abs/2304.08138 (2023) - [i77]Nuo Chen, Linjun Shou, Ming Gong, Jian Pei, Bowen Cao, Jianhui Chang, Daxin Jiang, Jia Li:
Alleviating Over-smoothing for Unsupervised Sentence Representation. CoRR abs/2305.06154 (2023) - [i76]Xidong Wu, Zhengmian Hu, Jian Pei, Heng Huang:
Serverless Federated AUPRC Optimization for Multi-Party Collaborative Imbalanced Data Mining. CoRR abs/2308.03035 (2023) - [i75]Ning Wu, Ming Gong, Linjun Shou, Jian Pei, Daxin Jiang:
RUEL: Retrieval-Augmented User Representation with Edge Browser Logs for Sequential Recommendation. CoRR abs/2309.10469 (2023) - [i74]Zilin Xiao, Ming Gong, Jie Wu, Xingyao Zhang, Linjun Shou, Jian Pei, Daxin Jiang:
Instructed Language Models with Retrievers Are Powerful Entity Linkers. CoRR abs/2311.03250 (2023) - [i73]Zilin Xiao, Linjun Shou, Xingyao Zhang, Jie Wu, Ming Gong, Jian Pei, Daxin Jiang:
Coherent Entity Disambiguation via Modeling Topic and Categorical Dependency. CoRR abs/2311.03253 (2023) - 2022
- [j162]Yuan Meng, Yancheng Dong, Shixuan Liu, Chaohao Yuan, Yue He, Jian Pei, Peng Cui:
Distilling Causal Metaknowledge from Knowledge Graphs. IEEE Data Eng. Bull. 45(4): 102-121 (2022) - [j161]Haolun Shi, Yuping Yang, Liangliang Wang, Da Ma, Mirza Faisal Beg, Jian Pei, Jiguo Cao:
Two-Dimensional Functional Principal Component Analysis for Image Feature Extraction. J. Comput. Graph. Stat. 31(4): 1127-1140 (2022) - [j160]Feihu Huang, Shangqian Gao, Jian Pei, Heng Huang:
Accelerated Zeroth-Order and First-Order Momentum Methods from Mini to Minimax Optimization. J. Mach. Learn. Res. 23: 36:1-36:70 (2022) - [j159]Zicun Cong, Xuan Luo, Jian Pei, Feida Zhu, Yong Zhang:
Data pricing in machine learning pipelines. Knowl. Inf. Syst. 64(6): 1417-1455 (2022) - [j158]Xuan Luo, Jian Pei, Zicun Cong, Cheng Xu:
On Shapley Value in Data Assemblage Under Independent Utility. Proc. VLDB Endow. 15(11): 2761-2773 (2022) - [j157]Jay Xu, Jian Pei, Zicun Cong:
Finding Multidimensional Simpson's Paradox. SIGKDD Explor. 24(2): 48-60 (2022) - [j156]Hui-Jia Li, Zhen Wang, Jie Cao, Jian Pei, Yong Shi:
Optimal Estimation of Low-Rank Factors via Feature Level Data Fusion of Multiplex Signal Systems. IEEE Trans. Knowl. Data Eng. 34(6): 2860-2871 (2022) - [j155]Jian Pei:
A Survey on Data Pricing: From Economics to Data Science. IEEE Trans. Knowl. Data Eng. 34(10): 4586-4608 (2022) - [c256]Laurent Charette, Lingyang Chu, Yizhou Chen, Jian Pei, Lanjun Wang, Yong Zhang:
Cosine Model Watermarking against Ensemble Distillation. AAAI 2022: 9512-9520 - [c255]Nuo Chen, Linjun Shou, Ming Gong, Jian Pei:
From Good to Best: Two-Stage Training for Cross-Lingual Machine Reading Comprehension. AAAI 2022: 10501-10508 - [c254]Jian Kang, Shuaicheng Zhang, Bo Li, Jingrui He, Jian Pei, Dawei Zhou:
TrustLOG: The First Workshop on Trustworthy Learning on Graphs. CIKM 2022: 5169-5170 - [c253]Houxing Ren, Linjun Shou, Jian Pei, Ning Wu, Ming Gong, Daxin Jiang:
Lexicon-Enhanced Self-Supervised Training for Multilingual Dense Retrieval. EMNLP (Findings) 2022: 444-459 - [c252]Shining Liang, Linjun Shou, Jian Pei, Ming Gong, Wanli Zuo, Xianglin Zuo, Daxin Jiang:
Label-aware Multi-level Contrastive Learning for Cross-lingual Spoken Language Understanding. EMNLP 2022: 9903-9918 - [c251]Haixin Wang, Cheng Xu, Ce Zhang, Jianliang Xu, Zhe Peng, Jian Pei:
vChain+: Optimizing Verifiable Blockchain Boolean Range Queries. ICDE 2022: 1927-1940 - [c250]Zhenan Fan, Huang Fang, Zirui Zhou, Jian Pei, Michael P. Friedlander, Changxin Liu, Yong Zhang:
Improving Fairness for Data Valuation in Horizontal Federated Learning. ICDE 2022: 2440-2453 - [c249]Zhonghang Li, Chao Huang, Lianghao Xia, Yong Xu, Jian Pei:
Spatial-Temporal Hypergraph Self-Supervised Learning for Crime Prediction. ICDE 2022: 2984-2996 - [c248]Yanfu Zhang, Runxue Bao, Jian Pei, Heng Huang:
Toward Unified Data and Algorithm Fairness via Adversarial Data Augmentation and Adaptive Model Fine-tuning. ICDM 2022: 1317-1322 - [c247]Junyi Li, Jian Pei, Heng Huang:
Communication-Efficient Robust Federated Learning with Noisy Labels. KDD 2022: 914-924 - [c246]Yanfu Zhang, Shangqian Gao, Jian Pei, Heng Huang:
Improving Social Network Embedding via New Second-Order Continuous Graph Neural Networks. KDD 2022: 2515-2523 - [c245]Lingfei Wu, Peng Cui, Jian Pei, Liang Zhao, Xiaojie Guo:
Graph Neural Networks: Foundation, Frontiers and Applications. KDD 2022: 4840-4841 - [c244]Lingfei Wu, Jian Pei, Jiliang Tang, Yinglong Xia, Xiaojie Guo:
Deep Learning on Graphs: Methods and Applications (DLG-KDD2022). KDD 2022: 4906-4907 - [c243]Gursimran Singh, Lingyang Chu, Lanjun Wang, Jian Pei, Qi Tian, Yong Zhang:
Mining Minority-Class Examples with Uncertainty Estimates. MMM (1) 2022: 258-271 - [c242]Nuo Chen, Linjun Shou, Ming Gong, Jian Pei, Daxin Jiang:
Bridging the Gap between Language Models and Cross-Lingual Sequence Labeling. NAACL-HLT 2022: 1909-1923 - [c241]Nian Liu, Xiao Wang, Deyu Bo, Chuan Shi, Jian Pei:
Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum. NeurIPS 2022 - [c240]Weizhe Lin, Linjun Shou, Ming Gong, Jian Pei, Zhilin Wang, Bill Byrne, Daxin Jiang:
Combining Unstructured Content and Knowledge Graphs into Recommendation Datasets. KaRS@RecSys 2022: 45-52 - [c239]Weizhe Lin, Linjun Shou, Ming Gong, Jian Pei, Zhilin Wang, Bill Byrne, Daxin Jiang:
Transformer-Empowered Content-Aware Collaborative Filtering. KaRS@RecSys 2022: 53-64 - [c238]Yitong Pang, Lingfei Wu, Qi Shen, Yiming Zhang, Zhihua Wei, Fangli Xu, Ethan Chang, Bo Long, Jian Pei:
Heterogeneous Global Graph Neural Networks for Personalized Session-based Recommendation. WSDM 2022: 775-783 - [c237]Yanfu Zhang, Hongchang Gao, Jian Pei, Heng Huang:
Robust Self-Supervised Structural Graph Neural Network for Social Network Prediction. WWW 2022: 1352-1361 - [c236]Yiming Zhang, Lingfei Wu, Qi Shen, Yitong Pang, Zhihua Wei, Fangli Xu, Bo Long, Jian Pei:
Multiple Choice Questions based Multi-Interest Policy Learning for Conversational Recommendation. WWW 2022: 2153-2162 - [i72]Zhenan Fan, Huang Fang, Zirui Zhou, Jian Pei, Michael P. Friedlander, Yong Zhang:
Fair and efficient contribution valuation for vertical federated learning. CoRR abs/2201.02658 (2022) - [i71]Laurent Charette, Lingyang Chu, Yizhou Chen, Jian Pei, Lanjun Wang, Yong Zhang:
Cosine Model Watermarking Against Ensemble Distillation. CoRR abs/2203.02777 (2022) - [i70]Saeed Ranjbar Alvar, Lanjun Wang, Jian Pei, Yong Zhang:
Membership Privacy Protection for Image Translation Models via Adversarial Knowledge Distillation. CoRR abs/2203.05212 (2022) - [i69]Weizhe Lin, Linjun Shou, Ming Gong, Jian Pei, Zhilin Wang, Bill Byrne, Daxin Jiang:
Transformer-Empowered Content-Aware Collaborative Filtering. CoRR abs/2204.00849 (2022) - [i68]Nuo Chen, Linjun Shou, Ming Gong, Jian Pei, Daxin Jiang:
Bridging the Gap between Language Models and Cross-Lingual Sequence Labeling. CoRR abs/2204.05210 (2022) - [i67]Zhonghang Li, Chao Huang, Lianghao Xia, Yong Xu, Jian Pei:
Spatial-Temporal Hypergraph Self-Supervised Learning for Crime Prediction. CoRR abs/2204.08587 (2022) - [i66]Shining Liang, Linjun Shou, Jian Pei, Ming Gong, Wanli Zuo, Xianglin Zuo, Daxin Jiang:
Multi-level Contrastive Learning for Cross-lingual Spoken Language Understanding. CoRR abs/2205.03656 (2022) - [i65]He Zhang, Bang Wu, Xingliang Yuan, Shirui Pan, Hanghang Tong, Jian Pei:
Trustworthy Graph Neural Networks: Aspects, Methods and Trends. CoRR abs/2205.07424 (2022) - [i64]Lianghao Xia, Chao Huang, Yong Xu, Jian Pei:
Multi-Behavior Sequential Recommendation with Temporal Graph Transformer. CoRR abs/2206.02687 (2022) - [i63]Junyi Li, Jian Pei, Heng Huang:
Communication-Efficient Robust Federated Learning with Noisy Labels. CoRR abs/2206.05558 (2022) - [i62]Shengyao Zhuang, Houxing Ren, Linjun Shou, Jian Pei, Ming Gong, Guido Zuccon, Daxin Jiang:
Bridging the Gap Between Indexing and Retrieval for Differentiable Search Index with Query Generation. CoRR abs/2206.10128 (2022) - [i61]Mohit Bajaj, Lingyang Chu, Vittorio Romaniello, Gursimran Singh, Jian Pei, Zirui Zhou, Lanjun Wang, Yong Zhang:
Revealing Unfair Models by Mining Interpretable Evidence. CoRR abs/2207.05811 (2022) - [i60]Xuan Luo, Jian Pei, Zicun Cong, Cheng Xu:
On Shapley Value in Data Assemblage Under Independent Utility. CoRR abs/2208.01163 (2022) - [i59]Zhenan Fan, Zirui Zhou, Jian Pei, Michael P. Friedlander, Jiajie Hu, Chengliang Li, Yong Zhang:
Knowledge-Injected Federated Learning. CoRR abs/2208.07530 (2022) - [i58]Honglu Jiang, Haotian Yu, Xiuzhen Cheng, Jian Pei, Robert Pless, Jiguo Yu:
DP2-Pub: Differentially Private High-Dimensional Data Publication with Invariant Post Randomization. CoRR abs/2208.11693 (2022) - [i57]Nian Liu, Xiao Wang, Deyu Bo, Chuan Shi, Jian Pei:
Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum. CoRR abs/2210.02330 (2022) - 2021
- [j154]Xia Hu, Lingyang Chu, Jian Pei, Weiqing Liu, Jiang Bian:
Model complexity of deep learning: a survey. Knowl. Inf. Syst. 63(10): 2585-2619 (2021) - [j153]Jinfei Liu, Jian Lou, Junxu Liu, Li Xiong, Jian Pei, Jimeng Sun:
Dealer: An End-to-End Model Marketplace with Differential Privacy. Proc. VLDB Endow. 14(6): 957-969 (2021) - [j152]Zicun Cong, Lingyang Chu, Yu Yang, Jian Pei:
Comprehensible Counterfactual Explanation on Kolmogorov-Smirnov Test. Proc. VLDB Endow. 14(9): 1583-1596 (2021) - [j151]Cheng Xu, Ce Zhang, Jianliang Xu, Jian Pei:
SlimChain: Scaling Blockchain Transactions through Off-Chain Storage and Parallel Processing. Proc. VLDB Endow. 14(11): 2314-2326 (2021) - [j150]Jinfei Liu, Qiongqiong Lin, Jiayao Zhang, Kui Ren, Jian Lou, Junxu Liu, Li Xiong, Jian Pei, Jimeng Sun:
Demonstration of Dealer: An End-to-End Model Marketplace with Differential Privacy. Proc. VLDB Endow. 14(12): 2747-2750 (2021) - [j149]Jinfei Liu, Juncheng Yang, Li Xiong, Jian Pei, Jun Luo, Yuzhang Guo, Shuaicheng Ma, Chenglin Fan:
Skyline Diagram: Efficient Space Partitioning for Skyline Queries. IEEE Trans. Knowl. Data Eng. 33(1): 271-286 (2021) - [j148]Yu Yang, Jian Pei:
Influence Analysis in Evolving Networks: A Survey. IEEE Trans. Knowl. Data Eng. 33(3): 1045-1063 (2021) - [j147]Jinfei Liu, Li Xiong, Jian Pei, Jun Luo, Haoyu Zhang, Wenhui Yu:
Group-Based Skyline for Pareto Optimal Groups. IEEE Trans. Knowl. Data Eng. 33(7): 2914-2929 (2021) - [j146]Wenhui Yu, Xiangnan He, Jian Pei, Xu Chen, Li Xiong, Jinfei Liu, Zheng Qin:
Visually aware recommendation with aesthetic features. VLDB J. 30(4): 495-513 (2021) - [c235]Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Xiyue Zhang, Hongsheng Yang, Jian Pei, Liefeng Bo:
Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation. AAAI 2021: 4486-4493 - [c234]Yutao Huang, Lingyang Chu, Zirui Zhou, Lanjun Wang, Jiangchuan Liu, Jian Pei, Yong Zhang:
Personalized Cross-Silo Federated Learning on Non-IID Data. AAAI 2021: 7865-7873 - [c233]Fei Yuan, Linjun Shou, Jian Pei, Wutao Lin, Ming Gong, Yan Fu, Daxin Jiang:
Reinforced Multi-Teacher Selection for Knowledge Distillation. AAAI 2021: 14284-14291 - [c232]Yucheng Zhou, Xiubo Geng, Tao Shen, Jian Pei, Wenqiang Zhang, Daxin Jiang:
Modeling Event-Pair Relations in External Knowledge Graphs for Script Reasoning. ACL/IJCNLP (Findings) 2021: 4586-4596 - [c231]Hao Huang, Xiubo Geng, Jian Pei, Guodong Long, Daxin Jiang:
Reasoning over Entity-Action-Location Graph for Procedural Text Understanding. ACL/IJCNLP (1) 2021: 5100-5109 - [c230]Yingmei Guo, Linjun Shou, Jian Pei, Ming Gong, Mingxing Xu, Zhiyong Wu, Daxin Jiang:
Learning from Multiple Noisy Augmented Data Sets for Better Cross-Lingual Spoken Language Understanding. EMNLP (1) 2021: 3226-3237 - [c229]Peter Cho-Ho Lam, Lingyang Chu, Maxim Torgonskiy, Jian Pei, Yong Zhang, Lanjun Wang:
Finding Representative Interpretations on Convolutional Neural Networks. ICCV 2021: 1325-1334 - [c228]Jinfei Liu, Li Xiong, Qiuchen Zhang, Jian Pei, Jun Luo:
Eclipse: Generalizing kNN and Skyline. ICDE 2021: 972-983 - [c227]Pei Wang, Weiling Zheng, Jiannan Wang, Jian Pei:
Automating Entity Matching Model Development. ICDE 2021: 1296-1307 - [c226]Amin Banitalebi-Dehkordi, Naveen Vedula, Jian Pei, Fei Xia, Lanjun Wang, Yong Zhang:
Auto-Split: A General Framework of Collaborative Edge-Cloud AI. KDD 2021: 2543-2553 - [c225]Shining Liang, Ming Gong, Jian Pei, Linjun Shou, Wanli Zuo, Xianglin Zuo, Daxin Jiang:
Reinforced Iterative Knowledge Distillation for Cross-Lingual Named Entity Recognition. KDD 2021: 3231-3239 - [c224]Qingsong Zhang, Bin Gu, Cheng Deng, Songxiang Gu, Liefeng Bo, Jian Pei, Heng Huang:
AsySQN: Faster Vertical Federated Learning Algorithms with Better Computation Resource Utilization. KDD 2021: 3917-3927 - [c223]Jian Pei, Feida Zhu, Zicun Cong, Xuan Luo, Huiwen Liu, Xin Mu:
Data Pricing and Data Asset Governance in the AI Era. KDD 2021: 4058-4059 - [c222]Linjun Shou, Ming Gong, Jian Pei, Xiubo Geng, Xingjie Zhou, Daxin Jiang:
Language Scaling: Applications, Challenges and Approaches. KDD 2021: 4068-4069 - [c221]Zirui Zhou, Lingyang Chu, Changxin Liu, Lanjun Wang, Jian Pei, Yong Zhang:
Towards Fair Federated Learning. KDD 2021: 4100-4101 - [c220]Lingfei Wu, Jiliang Tang, Yinglong Xia, Jian Pei, Xiaojie Guo:
The Sixth International Workshop on Deep Learning on Graphs - Methods and Applications (DLG-KDD'21). KDD 2021: 4167-4168 - [c219]Feida Zhu, Jian Pei:
The Third International Workshop on Smart Data for Blockchain and Distributed Ledger (SDBD2021): Joint Workshop with SIGKDD 2021 Trust Day. KDD 2021: 4185-4186 - [c218]Mohit Bajaj, Lingyang Chu, Zi Yu Xue, Jian Pei, Lanjun Wang, Peter Cho-Ho Lam, Yong Zhang:
Robust Counterfactual Explanations on Graph Neural Networks. NeurIPS 2021: 5644-5655 - [c217]Shining Liang, Linjun Shou, Jian Pei, Ming Gong, Wanli Zuo, Daxin Jiang:
CalibreNet: Calibration Networks for Multilingual Sequence Labeling. WSDM 2021: 842-850 - [i56]Xia Hu, Lingyang Chu, Jian Pei, Weiqing Liu, Jiang Bian:
Model Complexity of Deep Learning: A Survey. CoRR abs/2103.05127 (2021) - [i55]Shining Liang, Ming Gong, Jian Pei, Linjun Shou, Wanli Zuo, Xianglin Zuo, Daxin Jiang:
Reinforced Iterative Knowledge Distillation for Cross-Lingual Named Entity Recognition. CoRR abs/2106.00241 (2021) - [i54]Lingfei Wu, Yu Chen, Kai Shen, Xiaojie Guo, Hanning Gao, Shucheng Li, Jian Pei, Bo Long:
Graph Neural Networks for Natural Language Processing: A Survey. CoRR abs/2106.06090 (2021) - [i53]Changxin Liu, Zirui Zhou, Jian Pei, Yong Zhang, Yang Shi:
Decentralized Composite Optimization in Stochastic Networks: A Dual Averaging Approach with Linear Convergence. CoRR abs/2106.14075 (2021) - [i52]Mohit Bajaj, Lingyang Chu, Zi Yu Xue, Jian Pei, Lanjun Wang, Peter Cho-Ho Lam, Yong Zhang:
Robust Counterfactual Explanations on Graph Neural Networks. CoRR abs/2107.04086 (2021) - [i51]Peter Cho-Ho Lam, Lingyang Chu, Maxim Torgonskiy, Jian Pei, Yong Zhang, Lanjun Wang:
Finding Representative Interpretations on Convolutional Neural Networks. CoRR abs/2108.06384 (2021) - [i50]Zicun Cong, Xuan Luo, Jian Pei, Feida Zhu, Yong Zhang:
Data Pricing in Machine Learning Pipelines. CoRR abs/2108.07915 (2021) - [i49]Amin Banitalebi-Dehkordi, Naveen Vedula, Jian Pei, Fei Xia, Lanjun Wang, Yong Zhang:
Auto-Split: A General Framework of Collaborative Edge-Cloud AI. CoRR abs/2108.13041 (2021) - [i48]Yingmei Guo, Linjun Shou, Jian Pei, Ming Gong, Mingxing Xu, Zhiyong Wu, Daxin Jiang:
Learning from Multiple Noisy Augmented Data Sets for Better Cross-Lingual Spoken Language Understanding. CoRR abs/2109.01583 (2021) - [i47]Lingyang Chu, Lanjun Wang, Yanjie Dong, Jian Pei, Zirui Zhou, Yong Zhang:
FedFair: Training Fair Models In Cross-Silo Federated Learning. CoRR abs/2109.05662 (2021) - [i46]Changxin Liu, Zirui Zhou, Yang Shi, Jian Pei, Lingyang Chu, Yong Zhang:
Achieving Model Fairness in Vertical Federated Learning. CoRR abs/2109.08344 (2021) - [i45]Zhenan Fan, Huang Fang, Zirui Zhou, Jian Pei, Michael P. Friedlander, Changxin Liu, Yong Zhang:
Improving Fairness for Data Valuation in Federated Learning. CoRR abs/2109.09046 (2021) - [i44]Qingsong Zhang, Bin Gu, Cheng Deng, Songxiang Gu, Liefeng Bo, Jian Pei, Heng Huang:
AsySQN: Faster Vertical Federated Learning Algorithms with Better Computation Resource Utilization. CoRR abs/2109.12519 (2021) - [i43]Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Xiyue Zhang, Hongsheng Yang, Jian Pei, Liefeng Bo:
Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation. CoRR abs/2110.04000 (2021) - [i42]Nuo Chen, Linjun Shou, Ming Gong, Jian Pei, Daxin Jiang:
From Good to Best: Two-Stage Training for Cross-lingual Machine Reading Comprehension. CoRR abs/2112.04735 (2021) - [i41]Gursimran Singh, Lingyang Chu, Lanjun Wang, Jian Pei, Qi Tian, Yong Zhang:
Mining Minority-class Examples With Uncertainty Estimates. CoRR abs/2112.07835 (2021) - [i40]Yiming Zhang, Lingfei Wu, Qi Shen, Yitong Pang, Zhihua Wei, Fangli Xu, Bo Long, Jian Pei:
Multi-Choice Questions based Multi-Interest Policy Learning for Conversational Recommendation. CoRR abs/2112.11775 (2021) - 2020
- [j145]Dong-Wan Choi, Jian Pei, Xuemin Lin:
On spatial keyword covering. Knowl. Inf. Syst. 62(7): 2577-2612 (2020) - [j144]Yu Yang, Xiangbo Mao, Jian Pei, Xiaofei He:
Continuous Influence Maximization. ACM Trans. Knowl. Discov. Data 14(3): 29:1-29:38 (2020) - [j143]Wenhui Yu, Jinfei Liu, Jian Pei, Li Xiong, Xu Chen, Zheng Qin:
Efficient Contour Computation of Group-Based Skyline. IEEE Trans. Knowl. Data Eng. 32(7): 1317-1332 (2020) - [j142]Sihem Amer-Yahia, Jian Pei:
VLDB SI 2018 editorial. VLDB J. 29(2-3): 593-594 (2020) - [j141]Mingtao Lei, Lingyang Chu, Zhefeng Wang, Jian Pei, Caifeng He, Xi Zhang, Binxing Fang:
Mining top-k sequential patterns in transaction database graphs. World Wide Web 23(1): 103-130 (2020) - [c216]Xingyao Zhang, Linjun Shou, Jian Pei, Ming Gong, Lijie Wen, Daxin Jiang:
A Graph Representation of Semi-structured Data for Web Question Answering. COLING 2020: 51-61 - [c215]Junhao Liu, Linjun Shou, Jian Pei, Ming Gong, Min Yang, Daxin Jiang:
Cross-lingual Machine Reading Comprehension with Language Branch Knowledge Distillation. COLING 2020: 2710-2721 - [c214]Shangqian Gao, Feihu Huang, Jian Pei, Heng Huang:
Discrete Model Compression With Resource Constraint for Deep Neural Networks. CVPR 2020: 1896-1905 - [c213]Guanghan Ning, Jian Pei, Heng Huang:
LightTrack: A Generic Framework for Online Top-Down Human Pose Tracking. CVPR Workshops 2020: 4456-4465 - [c212]Zicun Cong, Lingyang Chu, Lanjun Wang, Xia Hu, Jian Pei:
Exact and Consistent Interpretation of Piecewise Linear Models Hidden behind APIs: A Closed Form Solution. ICDE 2020: 613-624 - [c211]Feihu Huang, Shangqian Gao, Jian Pei, Heng Huang:
Momentum-Based Policy Gradient Methods. ICML 2020: 4422-4433 - [c210]Lei Luo, Jian Pei, Heng Huang:
Sinkhorn Regression. IJCAI 2020: 2598-2604 - [c209]Xiao Wang, Meiqi Zhu, Deyu Bo, Peng Cui, Chuan Shi, Jian Pei:
AM-GCN: Adaptive Multi-channel Graph Convolutional Networks. KDD 2020: 1243-1253 - [c208]Xia Hu, Weiqing Liu, Jiang Bian, Jian Pei:
Measuring Model Complexity of Neural Networks with Curve Activation Functions. KDD 2020: 1521-1531 - [c207]Linjun Shou, Shining Bo, Feixiang Cheng, Ming Gong, Jian Pei, Daxin Jiang:
Mining Implicit Relevance Feedback from User Behavior for Web Question Answering. KDD 2020: 2931-2941 - [c206]Fei Wang, Peng Cui, Jian Pei, Yangqiu Song, Chengxi Zang:
Recent Advances on Graph Analytics and Its Applications in Healthcare. KDD 2020: 3545-3546 - [c205]Jian Pei:
Data Pricing - From Economics to Data Science. KDD 2020: 3553-3554 - [i39]Ziwei Zhang, Peng Cui, Jian Pei, Xin Wang, Wenwu Zhu:
Eigen-GNN: A Graph Structure Preserving Plug-in for GNNs. CoRR abs/2006.04330 (2020) - [i38]Linjun Shou, Shining Bo, Feixiang Cheng, Ming Gong, Jian Pei, Daxin Jiang:
Mining Implicit Relevance Feedback from User Behavior for Web Question Answering. CoRR abs/2006.07581 (2020) - [i37]Xia Hu, Weiqing Liu, Jiang Bian, Jian Pei:
Measuring Model Complexity of Neural Networks with Curve Activation Functions. CoRR abs/2006.08962 (2020) - [i36]Xiao Wang, Meiqi Zhu, Deyu Bo, Peng Cui, Chuan Shi, Jian Pei:
AM-GCN: Adaptive Multi-channel Graph Convolutional Networks. CoRR abs/2007.02265 (2020) - [i35]Yutao Huang, Lingyang Chu, Zirui Zhou, Lanjun Wang, Jiangchuan Liu, Jian Pei, Yong Zhang:
Personalized Federated Learning: An Attentive Collaboration Approach. CoRR abs/2007.03797 (2020) - [i34]Feihu Huang, Shangqian Gao, Jian Pei, Heng Huang:
Momentum-Based Policy Gradient Methods. CoRR abs/2007.06680 (2020) - [i33]Feihu Huang, Shangqian Gao, Jian Pei, Heng Huang:
Accelerated Zeroth-Order Momentum Methods from Mini to Minimax Optimization. CoRR abs/2008.08170 (2020) - [i32]Jian Pei:
A Survey on Data Pricing: from Economics to Data Science. CoRR abs/2009.04462 (2020) - [i31]Honglu Jiang, Jian Pei, Dongxiao Yu, Jiguo Yu, Bei Gong, Xiuzhen Cheng:
Differential Privacy and Its Applications in Social Network Analysis: A Survey. CoRR abs/2010.02973 (2020) - [i30]Xingyao Zhang, Linjun Shou, Jian Pei, Ming Gong, Lijie Wen, Daxin Jiang:
A Graph Representation of Semi-structured Data for Web Question Answering. CoRR abs/2010.06801 (2020) - [i29]Junhao Liu, Linjun Shou, Jian Pei, Ming Gong, Min Yang, Daxin Jiang:
Cross-lingual Machine Reading Comprehension with Language Branch Knowledge Distillation. CoRR abs/2010.14271 (2020) - [i28]Zicun Cong, Lingyang Chu, Yu Yang, Jian Pei:
Comprehensible Counterfactual Interpretation on Kolmogorov-Smirnov Test. CoRR abs/2011.01223 (2020) - [i27]Shining Liang, Linjun Shou, Jian Pei, Ming Gong, Wanli Zuo, Daxin Jiang:
CalibreNet: Calibration Networks for Multilingual Sequence Labeling. CoRR abs/2011.05723 (2020) - [i26]Fei Yuan, Linjun Shou, Jian Pei, Wutao Lin, Ming Gong, Yan Fu, Daxin Jiang:
Reinforced Multi-Teacher Selection for Knowledge Distillation. CoRR abs/2012.06048 (2020)
2010 – 2019
- 2019
- [j140]Zijin Zhao, Lingyang Chu, Dacheng Tao, Jian Pei:
Classification with label noise: a Markov chain sampling framework. Data Min. Knowl. Discov. 33(5): 1468-1504 (2019) - [j139]Lingyang Chu, Zhefeng Wang, Jian Pei, Yanyan Zhang, Yu Yang, Enhong Chen:
Finding Theme Communities from Database Networks. Proc. VLDB Endow. 12(10): 1071-1084 (2019) - [j138]Lingyang Chu, Yanyan Zhang, Yu Yang, Lanjun Wang, Jian Pei:
Online Density Bursting Subgraph Detection from Temporal Graphs. Proc. VLDB Endow. 12(13): 2353-2365 (2019) - [j137]Peng Cui, Xiao Wang, Jian Pei, Wenwu Zhu:
A Survey on Network Embedding. IEEE Trans. Knowl. Data Eng. 31(5): 833-852 (2019) - [j136]Jinfei Liu, Juncheng Yang, Li Xiong, Jian Pei:
Secure and Efficient Skyline Queries on Encrypted Data. IEEE Trans. Knowl. Data Eng. 31(7): 1397-1411 (2019) - [j135]Weiren Yu, Xuemin Lin, Wenjie Zhang, Jian Pei, Julie A. McCann:
SimRank*: effective and scalable pairwise similarity search based on graph topology. VLDB J. 28(3): 401-426 (2019) - [c204]Jian Pei:
Practicing the Art of Data Science. CIKM 2019: 7 - [c203]Yu Yang, Zhefeng Wang, Tianyuan Jin, Jian Pei, Enhong Chen:
Tracking Top-k Influential Users with Relative Errors. CIKM 2019: 1783-1792 - [c202]Jinfei Liu, Li Xiong, Jian Pei, Jun Luo, Haoyu Zhang, Si Zhang:
SkyRec: Finding Pareto Optimal Groups. CIKM 2019: 2913-2916 - [c201]Jian Pei:
Is There a Data Science and Engineering Brain Drain? If So, How Can We Rebalance Them? ICDE 2019: 38-39 - [c200]Hongchang Gao, Jian Pei, Heng Huang:
Demystifying Dropout. ICML 2019: 2112-2121 - [c199]Jian Pei:
Mining Graphs and Networks: A 15-Year Journey. BigMine@KDD 2019 - [c198]Ke Tu, Jianxin Ma, Peng Cui, Jian Pei, Wenwu Zhu:
AutoNE: Hyperparameter Optimization for Massive Network Embedding. KDD 2019: 216-225 - [c197]Hongchang Gao, Jian Pei, Heng Huang:
Conditional Random Field Enhanced Graph Convolutional Neural Networks. KDD 2019: 276-284 - [c196]Hongchang Gao, Jian Pei, Heng Huang:
ProGAN: Network Embedding via Proximity Generative Adversarial Network. KDD 2019: 1308-1316 - [c195]Shuyang Yu, Bin Gu, Kunpeng Ning, Haiyan Chen, Jian Pei, Heng Huang:
Tackle Balancing Constraint for Incremental Semi-Supervised Support Vector Learning. KDD 2019: 1587-1595 - [c194]Chenyou Fan, Yuze Zhang, Yi Pan, Xiaoyue Li, Chi Zhang, Rong Yuan, Di Wu, Wensheng Wang, Jian Pei, Heng Huang:
Multi-Horizon Time Series Forecasting with Temporal Attention Learning. KDD 2019: 2527-2535 - [c193]Xiao Huang, Peng Cui, Yuxiao Dong, Jundong Li, Huan Liu, Jian Pei, Le Song, Jie Tang, Fei Wang, Hongxia Yang, Wenwu Zhu:
Learning From Networks: Algorithms, Theory, and Applications. KDD 2019: 3221-3222 - [c192]Wei Yang, Luchen Tan, Chunwei Lu, Anqi Cui, Han Li, Xi Chen, Kun Xiong, Muzi Wang, Ming Li, Jian Pei, Jimmy Lin:
Detecting Customer Complaint Escalation with Recurrent Neural Networks and Manually-Engineered Features. NAACL-HLT (2) 2019: 56-63 - [i25]Wenhui Yu, Jinfei Liu, Jian Pei, Li Xiong, Xu Chen, Zheng Qin:
Efficient Contour Computation of Group-based Skyline. CoRR abs/1905.00700 (2019) - [i24]Wenhui Yu, Xiangnan He, Jian Pei, Xu Chen, Li Xiong, Jinfei Liu, Zheng Qin:
Visually-aware Recommendation with Aesthetic Features. CoRR abs/1905.02009 (2019) - [i23]Jinfei Liu, Li Xiong, Qiuchen Zhang, Jian Pei, Jun Luo:
Eclipse: Generalizing kNN and Skyline. CoRR abs/1906.06314 (2019) - [i22]Zicun Cong, Lingyang Chu, Lanjun Wang, Xia Hu, Jian Pei:
Exact and Consistent Interpretation of Piecewise Linear Models Hidden behind APIs: A Closed Form Solution. CoRR abs/1906.06857 (2019) - [i21]Feihu Huang, Shangqian Gao, Jian Pei, Heng Huang:
Nonconvex Zeroth-Order Stochastic ADMM Methods with Lower Function Query Complexity. CoRR abs/1907.13463 (2019) - 2018
- [j134]Juhua Hu, Jian Pei:
Subspace multi-clustering: a review. Knowl. Inf. Syst. 56(2): 257-284 (2018) - [j133]Sihem Amer-Yahia, Jian Pei:
Front Matter. Proc. VLDB Endow. 11(5): i-vi (2018) - [j132]Sihem Amer-Yahia, Jian Pei:
Front Matter. Proc. VLDB Endow. 11(6): i-vi (2018) - [j131]Sihem Amer-Yahia, Jian Pei:
Front Matter. Proc. VLDB Endow. 11(7): i-vi (2018) - [j130]Sihem Amer-Yahia, Jian Pei:
Front Matter. Proc. VLDB Endow. 11(8): i-vi (2018) - [j129]Sihem Amer-Yahia, Jian Pei:
Front Matter. Proc. VLDB Endow. 11(9): i-vi (2018) - [j128]Sihem Amer-Yahia, Jian Pei:
Front Matter. Proc. VLDB Endow. 11(10): i-vi (2018) - [j127]Sihem Amer-Yahia, Jian Pei:
Front Matter. Proc. VLDB Endow. 11(11): i-vi (2018) - [j126]Sihem Amer-Yahia, Jian Pei:
Front Matter. Proc. VLDB Endow. 11(12): i-vi (2018) - [j125]Sihem Amer-Yahia, Jian Pei:
Front Matter. Proc. VLDB Endow. 11(13): i-vi (2018) - [j124]Mohamad Dolatshah, Mathew Teoh, Jiannan Wang, Jian Pei:
Cleaning Crowdsourced Labels Using Oracles For Statistical Classification. Proc. VLDB Endow. 12(4): 376-389 (2018) - [j123]Dingyuan Zhu, Peng Cui, Ziwei Zhang, Jian Pei, Wenwu Zhu:
High-Order Proximity Preserved Embedding for Dynamic Networks. IEEE Trans. Knowl. Data Eng. 30(11): 2134-2144 (2018) - [c191]Ziwei Zhang, Peng Cui, Jian Pei, Xiao Wang, Wenwu Zhu:
TIMERS: Error-Bounded SVD Restart on Dynamic Networks. AAAI 2018: 224-231 - [c190]Yu Yang, Lingyang Chu, Yanyan Zhang, Zhefeng Wang, Jian Pei, Enhong Chen:
Mining Density Contrast Subgraphs. ICDE 2018: 221-232 - [c189]Jinfei Liu, Juncheng Yang, Li Xiong, Jian Pei, Jun Luo:
Skyline Diagram: Finding the Voronoi Counterpart for Skyline Queries. ICDE 2018: 653-664 - [c188]Jiaye Wu, Yang Wang, Peng Wang, Jian Pei, Wei Wang:
Finding Maximal Significant Linear Representation between Long Time Series. ICDM 2018: 1320-1325 - [c187]Lingyang Chu, Xia Hu, Juhua Hu, Lanjun Wang, Jian Pei:
Exact and Consistent Interpretation for Piecewise Linear Neural Networks: A Closed Form Solution. KDD 2018: 1244-1253 - [c186]Luo Luo, Wenpeng Zhang, Zhihua Zhang, Wenwu Zhu, Tong Zhang, Jian Pei:
Sketched Follow-The-Regularized-Leader for Online Factorization Machine. KDD 2018: 1900-1909 - [c185]Ziwei Zhang, Peng Cui, Xiao Wang, Jian Pei, Xuanrong Yao, Wenwu Zhu:
Arbitrary-Order Proximity Preserved Network Embedding. KDD 2018: 2778-2786 - [c184]Jinglin Peng, Dongxiang Zhang, Jiannan Wang, Jian Pei:
AQP++: Connecting Approximate Query Processing With Aggregate Precomputation for Interactive Analytics. SIGMOD Conference 2018: 1477-1492 - [c183]Xiao Lin, Wenpeng Zhang, Min Zhang, Wenwu Zhu, Jian Pei, Peilin Zhao, Junzhou Huang:
Online Compact Convexified Factorization Machine. WWW 2018: 1633-1642 - [e20]Jian Pei, Yannis Manolopoulos, Shazia Sadiq, Jianxin Li:
Database Systems for Advanced Applications - 23rd International Conference, DASFAA 2018, Gold Coast, QLD, Australia, May 21-24, 2018, Proceedings, Part I. Lecture Notes in Computer Science 10827, Springer 2018, ISBN 978-3-319-91451-0 [contents] - [e19]Jian Pei, Yannis Manolopoulos, Shazia Sadiq, Jianxin Li:
Database Systems for Advanced Applications - 23rd International Conference, DASFAA 2018, Gold Coast, QLD, Australia, May 21-24, 2018, Proceedings, Part II. Lecture Notes in Computer Science 10828, Springer 2018, ISBN 978-3-319-91457-2 [contents] - [r2]Jian Pei:
Association Rules. Encyclopedia of Database Systems (2nd ed.) 2018 - [i20]Lingyang Chu, Xia Hu, Juhua Hu, Lanjun Wang, Jian Pei:
Exact and Consistent Interpretation for Piecewise Linear Neural Networks: A Closed Form Solution. CoRR abs/1802.06259 (2018) - [i19]Yu Yang, Lingyang Chu, Yanyan Zhang, Zhefeng Wang, Jian Pei, Enhong Chen:
Mining Density Contrast Subgraphs. CoRR abs/1802.06775 (2018) - [i18]Yu Yang, Zhefeng Wang, Tianyuan Jin, Jian Pei, Enhong Chen:
Tracking Top-K Influential Vertices in Dynamic Networks. CoRR abs/1803.01499 (2018) - [i17]Jinfei Liu, Juncheng Yang, Li Xiong, Jian Pei:
Secure and Efficient Skyline Queries on Encrypted Data. CoRR abs/1806.01168 (2018) - [i16]Jinfei Liu, Juncheng Yang, Li Xiong, Jian Pei, Jun Luo, Yuzhang Guo, Shuaicheng Ma, Chenglin Fan:
Skyline Diagram: Efficient Space Partitioning for Skyline Queries. CoRR abs/1812.01663 (2018) - 2017
- [j122]Akiko Campbell, Xiangbo Mao, Jian Pei, Abdullah Al-Barakati:
Multidimensional benchmarking in data warehouses. Intell. Data Anal. 21(4): 781-801 (2017) - [j121]Robert Moskovitch, Fei Wang, Jian Pei, Carol Friedman:
JASIST special issue on biomedical information retrieval. J. Assoc. Inf. Sci. Technol. 68(11): 2525-2528 (2017) - [j120]Akiko Campbell, Xiangbo Mao, Jian Pei, Abdullah Al-Barakati:
Multidimensional Business Benchmarking Analysis on Data Warehouses. Int. J. Data Warehous. Min. 13(1): 51-75 (2017) - [j119]Juhua Hu, Qi Qian, Jian Pei, Rong Jin, Shenghuo Zhu:
Finding multiple stable clusterings. Knowl. Inf. Syst. 51(3): 991-1021 (2017) - [j118]Yu Yang, Jian Pei, Abdullah Al-Barakati:
Measuring in-network node similarity based on neighborhoods: a unified parametric approach. Knowl. Inf. Syst. 53(1): 43-70 (2017) - [j117]Dong-Wan Choi, Jian Pei, Thomas Heinis:
Efficient Mining of Regional Movement Patterns in Semantic Trajectories. Proc. VLDB Endow. 10(13): 2073-2084 (2017) - [j116]Sihem Amer-Yahia, Jian Pei:
Front Matter. Proc. VLDB Endow. 11(1): i-vi (2017) - [j115]Sihem Amer-Yahia, Jian Pei:
Front Matter. Proc. VLDB Endow. 11(2): i-vi (2017) - [j114]Sihem Amer-Yahia, Jian Pei:
Front Matter. Proc. VLDB Endow. 11(3): i-vi (2017) - [j113]Sihem Amer-Yahia, Jian Pei:
Front Matter. Proc. VLDB Endow. 11(4): i-vi (2017) - [j112]Jian Pei, Xuemin Lin:
Editorial. IEEE Trans. Knowl. Data Eng. 29(1): 1 (2017) - [j111]Zhefeng Wang, Yu Yang, Jian Pei, Lingyang Chu, Enhong Chen:
Activity Maximization by Effective Information Diffusion in Social Networks. IEEE Trans. Knowl. Data Eng. 29(11): 2374-2387 (2017) - [j110]Yu Yang, Zhefeng Wang, Jian Pei, Enhong Chen:
Tracking Influential Individuals in Dynamic Networks. IEEE Trans. Knowl. Data Eng. 29(11): 2615-2628 (2017) - [c182]Xiao Wang, Peng Cui, Jing Wang, Jian Pei, Wenwu Zhu, Shiqiang Yang:
Community Preserving Network Embedding. AAAI 2017: 203-209 - [c181]Chun-Yen Kuo, Mi-Yen Yeh, Jian Pei:
Principal Patern Mining on Graphs. ASONAM 2017: 278-281 - [c180]Jinfei Liu, Juncheng Yang, Li Xiong, Jian Pei:
Secure Skyline Queries on Cloud Platform. ICDE 2017: 633-644 - [c179]Chuancong Gao, Jian Pei, Jiannan Wang, Yi Chang:
Schemaless Join for Result Set Preferences. IRI 2017: 569-578 - [c178]Chuancong Gao, Jiannan Wang, Jian Pei, Rui Li, Yi Chang:
Preference-driven similarity join. WI 2017: 97-105 - [i15]Chuancong Gao, Jiannan Wang, Jian Pei, Rui Li, Yi Chang:
Preference-driven Similarity Join. CoRR abs/1706.04266 (2017) - [i14]Lingyang Chu, Zhefeng Wang, Jian Pei, Yanyan Zhang, Yu Yang, Enhong Chen:
Finding Theme Communities from Database Networks: from Mining to Indexing and Query Answering. CoRR abs/1709.08083 (2017) - [i13]Peng Cui, Xiao Wang, Jian Pei, Wenwu Zhu:
A Survey on Network Embedding. CoRR abs/1711.08752 (2017) - [i12]Ziwei Zhang, Peng Cui, Jian Pei, Xiao Wang, Wenwu Zhu:
TIMERS: Error-Bounded SVD Restart on Dynamic Networks. CoRR abs/1711.09541 (2017) - 2016
- [j109]Jian Pei, Guoliang Li, Hanghang Tong:
Preface. Big Data Res. 5: 1 (2016) - [j108]Björn W. Schuller, Jian Pei:
Using Computer Intelligence for Depression Diagnosis and Crowdsourcing. Computer 49(7): 8-9 (2016) - [j107]Xuan Vinh Nguyen, Jeffrey Chan, Simone Romano, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Jian Pei:
Discovering outlying aspects in large datasets. Data Min. Knowl. Discov. 30(6): 1520-1555 (2016) - [j106]Jian Pei:
Preface. J. Comput. Sci. Technol. 31(4): 635-636 (2016) - [j105]Lei Duan, Guanting Tang, Jian Pei, James Bailey, Guozhu Dong, Xuan Vinh Nguyen, Akiko Campbell, Changjie Tang:
Efficient discovery of contrast subspaces for object explanation and characterization. Knowl. Inf. Syst. 47(1): 99-129 (2016) - [j104]Xiaoning Xu, Chuancong Gao, Jian Pei, Ke Wang, Abdullah Al-Barakati:
Continuous similarity search for evolving queries. Knowl. Inf. Syst. 48(3): 649-678 (2016) - [j103]Kui Yu, Xindong Wu, Wei Ding, Jian Pei:
Scalable and Accurate Online Feature Selection for Big Data. ACM Trans. Knowl. Discov. Data 11(2): 16:1-16:39 (2016) - [j102]Jian Pei:
State of the Journal Editorial. IEEE Trans. Knowl. Data Eng. 28(1): 1 (2016) - [j101]Jian Pei, Leman Akoglu, Hongrae Lee, Justin J. Levandoski, Xuelong Li, Rosa Meo, Carlos Ordonez, Jeff M. Phillips, Barbara Poblete, K. Selçuk Candan, Meng Wang, Ji-Rong Wen, Li Xiong, Wenjie Zhang:
EIC Editorial. IEEE Trans. Knowl. Data Eng. 28(10): 2535-2537 (2016) - [j100]Shixia Liu, Jialun Yin, Xiting Wang, Weiwei Cui, Kelei Cao, Jian Pei:
Online Visual Analytics of Text Streams. IEEE Trans. Vis. Comput. Graph. 22(11): 2451-2466 (2016) - [c177]Zhefeng Wang, Lingyang Chu, Jian Pei, Abdullah Al-Barakati, Enhong Chen:
Tradeoffs between density and size in extracting dense subgraphs: A unified framework. ASONAM 2016: 41-48 - [c176]Zimu Zheng, Dan Wang, Jian Pei, Yi Yuan, Cheng Fan, Linda Fu Xiao:
Urban Traffic Prediction through the Second Use of Inexpensive Big Data from Buildings. CIKM 2016: 1363-1372 - [c175]Dong-Wan Choi, Jian Pei, Xuemin Lin:
Finding the minimum spatial keyword cover. ICDE 2016: 685-696 - [c174]Hui-Ju Hung, Hong-Han Shuai, De-Nian Yang, Liang-Hao Huang, Wang-Chien Lee, Jian Pei, Ming-Syan Chen:
When Social Influence Meets Item Inference. KDD 2016: 915-924 - [c173]Mingdong Ou, Peng Cui, Jian Pei, Ziwei Zhang, Wenwu Zhu:
Asymmetric Transitivity Preserving Graph Embedding. KDD 2016: 1105-1114 - [c172]Lingyang Chu, Zhefeng Wang, Jian Pei, Jiannan Wang, Zijin Zhao, Enhong Chen:
Finding Gangs in War from Signed Networks. KDD 2016: 1505-1514 - [c171]Yu Yang, Xiangbo Mao, Jian Pei, Xiaofei He:
Continuous Influence Maximization: What Discounts Should We Offer to Social Network Users? SIGMOD Conference 2016: 727-741 - [i11]Yu Yang, Zhefeng Wang, Jian Pei, Enhong Chen:
Tracking Influential Nodes in Dynamic Networks. CoRR abs/1602.04490 (2016) - [i10]Zhefeng Wang, Yu Yang, Jian Pei, Enhong Chen:
Activity Maximization by Effective Information Diffusion in Social Networks. CoRR abs/1610.07754 (2016) - 2015
- [j99]Lei Duan, Guanting Tang, Jian Pei, James Bailey, Akiko Campbell, Changjie Tang:
Mining outlying aspects on numeric data. Data Min. Knowl. Discov. 29(5): 1116-1151 (2015) - [j98]Guanting Tang, Jian Pei, James Bailey, Guozhu Dong:
Mining multidimensional contextual outliers from categorical relational data. Intell. Data Anal. 19(5): 1171-1192 (2015) - [j97]Jian Pei:
Preface. J. Comput. Sci. Technol. 30(4): 655-656 (2015) - [j96]Lingyang Chu, Shuhui Wang, Siyuan Liu, Qingming Huang, Jian Pei:
ALID: Scalable Dominant Cluster Detection. Proc. VLDB Endow. 8(8): 826-837 (2015) - [j95]Jinfei Liu, Li Xiong, Jian Pei, Jun Luo, Haoyu Zhang:
Finding Pareto Optimal Groups: Group-based Skyline. Proc. VLDB Endow. 8(13): 2086-2097 (2015) - [j94]Xuyun Zhang, Wan-Chun Dou, Jian Pei, Surya Nepal, Chi Yang, Chang Liu, Jinjun Chen:
Proximity-Aware Local-Recoding Anonymization with MapReduce for Scalable Big Data Privacy Preservation in Cloud. IEEE Trans. Computers 64(8): 2293-2307 (2015) - [j93]Kui Yu, Wei Ding, Dan A. Simovici, Hao Wang, Jian Pei, Xindong Wu:
Classification with Streaming Features: An Emerging-Pattern Mining Approach. ACM Trans. Knowl. Discov. Data 9(4): 30:1-30:31 (2015) - [j92]Jian Pei:
State of the Journal Editorial. IEEE Trans. Knowl. Data Eng. 27(1): 1-2 (2015) - [j91]Jian Pei:
Editorial. IEEE Trans. Knowl. Data Eng. 27(8): 2020-2022 (2015) - [c170]Ziqiang Yu, Xiaohui Yu, Yang Liu, Wenzhu Li, Jian Pei:
Mining Frequent Co-occurrence Patterns across Multiple Data Streams. EDBT 2015: 73-84 - [c169]Lijun Chang, Xuemin Lin, Lu Qin, Jeffrey Xu Yu, Jian Pei:
Efficiently Computing Top-K Shortest Path Join. EDBT 2015: 133-144 - [c168]Jianmin Wang, Shaoxu Song, Xuemin Lin, Xiaochen Zhu, Jian Pei:
Cleaning structured event logs: A graph repair approach. ICDE 2015: 30-41 - [c167]Juhua Hu, Qi Qian, Jian Pei, Rong Jin, Shenghuo Zhu:
Finding Multiple Stable Clusterings. ICDM 2015: 171-180 - [c166]Yutao Zhang, Jie Tang, Zhilin Yang, Jian Pei, Philip S. Yu:
COSNET: Connecting Heterogeneous Social Networks with Local and Global Consistency. KDD 2015: 1485-1494 - [c165]Kui Yu, Dawei Wang, Wei Ding, Jian Pei, David L. Small, Shafiqul Islam, Xindong Wu:
Tornado Forecasting with Multiple Markov Boundaries. KDD 2015: 2237-2246 - [c164]Yu-Feng Lin, Hsuan-Hsu Chen, Vincent S. Tseng, Jian Pei:
Reliable Early Classification on Multivariate Time Series with Numerical and Categorical Attributes. PAKDD (1) 2015: 199-211 - [c163]Xuan Vinh Nguyen, Jeffrey Chan, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Jian Pei:
Scalable Outlying-Inlying Aspects Discovery via Feature Ranking. PAKDD (2) 2015: 422-434 - [e18]Jian Pei, Fabrizio Silvestri, Jie Tang:
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2015, Paris, France, August 25 - 28, 2015. ACM 2015, ISBN 978-1-4503-3854-7 [contents] - [i9]Yu Yang, Jian Pei:
In-Network Neighborhood-Based Node Similarity Measure: A Unified Parametric Model. CoRR abs/1510.03814 (2015) - [i8]Kui Yu, Xindong Wu, Wei Ding, Jian Pei:
Scalable and Accurate Online Feature Selection for Big Data. CoRR abs/1511.09263 (2015) - [i7]Shixia Liu, Jialun Yin, Xiting Wang, Weiwei Cui, Kelei Cao, Jian Pei:
Online Visual Analytics of Text Streams. CoRR abs/1512.04042 (2015) - 2014
- [j90]Jian Pei:
Managing Data-Intensive Applications in the Cloud. Computer 47(7): 6 (2014) - [j89]Chi Yang, Xuyun Zhang, Changmin Zhong, Chang Liu, Jian Pei, Kotagiri Ramamohanarao, Jinjun Chen:
A spatiotemporal compression based approach for efficient big data processing on Cloud. J. Comput. Syst. Sci. 80(8): 1563-1583 (2014) - [j88]Guanting Tang, Jian Pei, Wo-Shun Luk:
Email mining: tasks, common techniques, and tools. Knowl. Inf. Syst. 41(1): 1-31 (2014) - [j87]Jian Pei:
Editorial [State of the Transactions]. IEEE Trans. Knowl. Data Eng. 26(1): 1-2 (2014) - [j86]Ying Zhang, Wenjie Zhang, Jian Pei, Xuemin Lin, Qianlu Lin, Aiping Li:
Consensus-Based Ranking of Multivalued Objects: A Generalized Borda Count Approach. IEEE Trans. Knowl. Data Eng. 26(1): 83-96 (2014) - [j85]Jian Pei:
EIC Editorial. IEEE Trans. Knowl. Data Eng. 26(7): 1559-1561 (2014) - [j84]Yajun Yang, Jeffrey Xu Yu, Hong Gao, Jian Pei, Jianzhong Li:
Mining most frequently changing component in evolving graphs. World Wide Web 17(3): 351-376 (2014) - [j83]Da Huang, Kai Xu, Jian Pei:
Malicious URL detection by dynamically mining patterns without pre-defined elements. World Wide Web 17(6): 1375-1394 (2014) - [c162]Lumin Zhang, Jian Pei, Yan Jia, Bin Zhou, Xiang Wang:
Do neighbor buddies make a difference in reblog likelihood? An analysis on SINA Weibo data. ASONAM 2014: 208-215 - [c161]Guoming Tang, Kui Wu, Jian Pei, Jiuyang Tang, Jingsheng Lei:
An Appliance-Driven Approach to Detection of Corrupted Load Curve Data. CIKM 2014: 1429-1438 - [c160]Jialong Han, Ji-Rong Wen, Jian Pei:
Within-Network Classification Using Radius-Constrained Neighborhood Patterns. CIKM 2014: 1539-1548 - [c159]Ting Guo, Xingquan Zhu, Jian Pei, Chengqi Zhang:
SNOC: Streaming Network Node Classification. ICDM 2014: 150-159 - [c158]Kui Yu, Xindong Wu, Wei Ding, Jian Pei:
Towards Scalable and Accurate Online Feature Selection for Big Data. ICDM 2014: 660-669 - [c157]Qi Qian, Juhua Hu, Rong Jin, Jian Pei, Shenghuo Zhu:
Distance metric learning using dropout: a structured regularization approach. KDD 2014: 323-332 - [c156]Yang Wang, Jian Pei, Xuemin Lin, Qing Zhang, Wenjie Zhang:
An Iterative Fusion Approach to Graph-Based Semi-Supervised Learning from Multiple Views. PAKDD (2) 2014: 162-173 - [c155]Lei Duan, Guanting Tang, Jian Pei, James Bailey, Guozhu Dong, Akiko Campbell, Changjie Tang:
Mining Contrast Subspaces. PAKDD (1) 2014: 249-260 - [c154]Jeffrey Chan, Xuan Vinh Nguyen, Wei Liu, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Jian Pei:
Structure-Aware Distance Measures for Comparing Clusterings in Graphs. PAKDD (1) 2014: 362-373 - [c153]Juhua Hu, Jian Pei, Jie Tang:
How Can I Index My Thousands of Photos Effectively and Automatically? An Unsupervised Feature Selection Approach. SDM 2014: 136-144 - [c152]Yuxuan Li, James Bailey, Lars Kulik, Jian Pei:
Efficient Matching of Substrings in Uncertain Sequences. SDM 2014: 767-775 - [c151]Xiaocheng Hu, Jian Pei, Yufei Tao:
Shortest Unique Queries on Strings. SPIRE 2014: 161-172 - [p4]Jiawei Han, Jian Pei:
Pattern-Growth Methods. Frequent Pattern Mining 2014: 65-81 - [e17]Jimmy Lin, Jian Pei, Xiaohua Hu, Wo Chang, Raghunath Nambiar, Charu C. Aggarwal, Nick Cercone, Vasant G. Honavar, Jun Huan, Bamshad Mobasher, Saumyadipta Pyne:
2014 IEEE International Conference on Big Data (IEEE BigData 2014), Washington, DC, USA, October 27-30, 2014. IEEE Computer Society 2014, ISBN 978-1-4799-5665-4 [contents] - [e16]Ravi Kumar, Hannu Toivonen, Jian Pei, Joshua Zhexue Huang, Xindong Wu:
2014 IEEE International Conference on Data Mining, ICDM 2014, Shenzhen, China, December 14-17, 2014. IEEE Computer Society 2014, ISBN 978-1-4799-4302-9 [contents] - [e15]Zhi-Hua Zhou, Wei Wang, Ravi Kumar, Hannu Toivonen, Jian Pei, Joshua Zhexue Huang, Xindong Wu:
2014 IEEE International Conference on Data Mining Workshops, ICDM Workshops 2014, Shenzhen, China, December 14, 2014. IEEE Computer Society 2014, ISBN 978-1-4799-4274-9 [contents] - [i6]Lingyang Chu, Shuhui Wang, Siyuan Liu, Qingming Huang, Jian Pei:
ALID: Scalable Dominant Cluster Detection. CoRR abs/1411.0064 (2014) - 2013
- [j82]Yi-Chen Lo, Jhao-Yin Li, Mi-Yen Yeh, Shou-De Lin, Jian Pei:
What distinguish one from its peers in social networks? Data Min. Knowl. Discov. 27(3): 396-420 (2013) - [j81]Jin Huang, Bin Jiang, Jian Pei, Jian Chen, Yong Tang:
Skyline distance: a measure of multidimensional competence. Knowl. Inf. Syst. 34(2): 373-396 (2013) - [j80]Jian Chen, Jin Huang, Bin Jiang, Jian Pei, Jian Yin:
Recommendations for two-way selections using skyline view queries. Knowl. Inf. Syst. 34(2): 397-424 (2013) - [j79]Yang Wang, Peng Wang, Jian Pei, Wei Wang, Sheng Huang:
A Data-adaptive and Dynamic Segmentation Index for Whole Matching on Time Series. Proc. VLDB Endow. 6(10): 793-804 (2013) - [j78]Weiren Yu, Xuemin Lin, Wenjie Zhang, Lijun Chang, Jian Pei:
More is Simpler: Effectively and Efficiently Assessing Node-Pair Similarities Based on Hyperlinks. Proc. VLDB Endow. 7(1): 13-24 (2013) - [j77]Daxin Jiang, Jian Pei, Hang Li:
Mining search and browse logs for web search: A Survey. ACM Trans. Intell. Syst. Technol. 4(4): 57:1-57:37 (2013) - [j76]Deepak Agarwal, Rich Caruana, Jian Pei, Ke Wang:
Introduction to the Special Issue ACM SIGKDD 2012. ACM Trans. Knowl. Discov. Data 7(3): 9:1-9:2 (2013) - [j75]Bin Jiang, Jian Pei, Yufei Tao, Xuemin Lin:
Clustering Uncertain Data Based on Probability Distribution Similarity. IEEE Trans. Knowl. Data Eng. 25(4): 751-763 (2013) - [j74]Jian Pei:
Editorial [2012 & 2013 Associate Editors]. IEEE Trans. Knowl. Data Eng. 25(8): 1689-1692 (2013) - [j73]Zhen Liao, Daxin Jiang, Jian Pei, Yalou Huang, Enhong Chen, Huanhuan Cao, Hang Li:
A vlHMM approach to context-aware search. ACM Trans. Web 7(4): 22:1-22:38 (2013) - [j72]Yi Cui, Jian Pei, Guanting Tang, Wo-Shun Luk, Daxin Jiang, Ming Hua:
Finding email correspondents in online social networks. World Wide Web 16(2): 195-218 (2013) - [c150]Yun Xiong, Yangyong Zhu, Philip S. Yu, Jian Pei:
Towards Cohesive Anomaly Mining. AAAI 2013: 984-990 - [c149]Jian Pei, Wush Chi-Hsuan Wu, Mi-Yen Yeh:
On shortest unique substring queries. ICDE 2013: 937-948 - [c148]Yuxuan Li, James Bailey, Lars Kulik, Jian Pei:
Mining Probabilistic Frequent Spatio-Temporal Sequential Patterns with Gap Constraints from Uncertain Databases. ICDM 2013: 448-457 - [c147]Cécile Low-Kam, Chedy Raïssi, Mehdi Kaytoue, Jian Pei:
Mining Statistically Significant Sequential Patterns. ICDM 2013: 488-497 - [c146]Guanting Tang, Yupin Yang, Jian Pei:
Price Information Patterns in Web Search Advertising: An Empirical Case Study on Accommodation Industry. ICDM 2013: 737-746 - [c145]Xiangbo Mao, Binbin Lin, Deng Cai, Xiaofei He, Jian Pei:
Parallel field alignment for cross media retrieval. ACM Multimedia 2013: 897-906 - [c144]Jian Pei:
Some New Progress in Analyzing and Mining Uncertain and Probabilistic Data for Big Data Analytics. RSFDGrC 2013: 38-45 - [c143]Guanting Tang, James Bailey, Jian Pei, Guozhu Dong:
Mining multidimensional contextual outliers from categorical relational data. SSDBM 2013: 43:1-43:4 - [e14]Qi He, Arun Iyengar, Wolfgang Nejdl, Jian Pei, Rajeev Rastogi:
22nd ACM International Conference on Information and Knowledge Management, CIKM'13, San Francisco, CA, USA, October 27 - November 1, 2013. ACM 2013, ISBN 978-1-4503-2263-8 [contents] - [e13]Jian Pei, Vincent S. Tseng, Longbing Cao, Hiroshi Motoda, Guandong Xu:
Advances in Knowledge Discovery and Data Mining, 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part I. Lecture Notes in Computer Science 7818, Springer 2013, ISBN 978-3-642-37452-4 [contents] - [e12]Jian Pei, Vincent S. Tseng, Longbing Cao, Hiroshi Motoda, Guandong Xu:
Advances in Knowledge Discovery and Data Mining, 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part II. Lecture Notes in Computer Science 7819, Springer 2013, ISBN 978-3-642-37455-5 [contents] - [e11]Jiuyong Li, Longbing Cao, Can Wang, Kay Chen Tan, Bo Liu, Jian Pei, Vincent S. Tseng:
Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2013 International Workshops: DMApps, DANTH, QIMIE, BDM, CDA, CloudSD, Gold Coast, QLD, Australia, April 14-17, 2013, Revised Selected Papers. Lecture Notes in Computer Science 7867, Springer 2013, ISBN 978-3-642-40318-7 [contents] - [i5]Guoming Tang, Kui Wu, Jian Pei, Jiuyang Tang, Jingsheng Lei:
Is My Electricity Bill Accurate? A Model-Driven Approach to Corrupted Load Data Identification. CoRR abs/1307.7757 (2013) - 2012
- [j71]Qiang Jiang, Akiko Campbell, Guanting Tang, Jian Pei:
Multi-level relationship outlier detection. Int. J. Bus. Intell. Data Min. 7(4): 253-273 (2012) - [j70]Gabor Melli, Xindong Wu, Paul Beinat, Francesco Bonchi, Longbing Cao, Rong Duan, Christos Faloutsos, Rayid Ghani, Brendan Kitts, Bart Goethals, Geoffrey J. McLachlan, Jian Pei, Ashok Srivastava, Osmar R. Zaïane:
Top-10 Data Mining Case Studies. Int. J. Inf. Technol. Decis. Mak. 11(2): 389-400 (2012) - [j69]Ming Hua, Jian Pei:
Clustering in applications with multiple data sources - A mutual subspace clustering approach. Neurocomputing 92: 133-144 (2012) - [j68]Luping Li, Stephen Petschulat, Guanting Tang, Jian Pei, Wo-Shun Luk:
Efficient and Effective Aggregate Keyword Search on Relational Databases. Int. J. Data Warehous. Min. 8(4): 41-81 (2012) - [j67]Bin Jiang, Jian Pei, Xuemin Lin, Yidong Yuan:
Probabilistic skylines on uncertain data: model and bounding-pruning-refining methods. J. Intell. Inf. Syst. 38(1): 1-39 (2012) - [j66]Bin Zhou, Jian Pei:
Aggregate keyword search on large relational databases. Knowl. Inf. Syst. 30(2): 283-318 (2012) - [j65]Zhengzheng Xing, Jian Pei, Philip S. Yu:
Early classification on time series. Knowl. Inf. Syst. 31(1): 105-127 (2012) - [j64]Yunhao Liu, Yiyang Zhao, Lei Chen, Jian Pei, Jinsong Han:
Mining Frequent Trajectory Patterns for Activity Monitoring Using Radio Frequency Tag Arrays. IEEE Trans. Parallel Distributed Syst. 23(11): 2138-2149 (2012) - [c142]Wei Liu, Andrey Kan, Jeffrey Chan, James Bailey, Christopher Leckie, Jian Pei, Kotagiri Ramamohanarao:
On compressing weighted time-evolving graphs. CIKM 2012: 2319-2322 - [c141]Ming Hua, Jian Pei:
Aggregate queries on probabilistic record linkages. EDBT 2012: 360-371 - [c140]Wush Chi-Hsuan Wu, Mi-Yen Yeh, Jian Pei:
Random Error Reduction in Similarity Search on Time Series: A Statistical Approach. ICDE 2012: 858-869 - [c139]Hossein Maserrat, Jian Pei:
Community Preserving Lossy Compression of Social Networks. ICDM 2012: 509-518 - [c138]Tyler Dwyer, Alexandra Fedorova, Sergey Blagodurov, Mark Roth, Fabien Gaud, Jian Pei:
A practical method for estimating performance degradation on multicore processors, and its application to HPC workloads. SC 2012: 83 - [c137]Yunhua Hu, Ya-nan Qian, Hang Li, Daxin Jiang, Jian Pei, Qinghua Zheng:
Mining query subtopics from search log data. SIGIR 2012: 305-314 - [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] - 2011
- [b3]Jiawei Han, Micheline Kamber, Jian Pei:
Data Mining: Concepts and Techniques, 3rd edition. Morgan Kaufmann 2011, ISBN 978-0123814791 - [b2]Ming Hua, Jian Pei:
Ranking Queries on Uncertain Data. Advances in Database Systems 42, Kluwer 2011, ISBN 978-1-4419-9379-3, pp. 1-214 - [j63]Xiaoxun Sun, Hua Wang, Jiuyong Li, Jian Pei:
Publishing anonymous survey rating data. Data Min. Knowl. Discov. 23(3): 379-406 (2011) - [j62]Ying Zhang, Wenjie Zhang, Xuemin Lin, Bin Jiang, Jian Pei:
Ranking uncertain sky: The probabilistic top-k skyline operator. Inf. Syst. 36(5): 898-915 (2011) - [j61]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) - [j60]Bin Zhou, Jian Pei:
The k-anonymity and l-diversity approaches for privacy preservation in social networks against neighborhood attacks. Knowl. Inf. Syst. 28(1): 47-77 (2011) - [j59]Chonghai Wang, Li-Yan Yuan, Jia-Huai You, Osmar R. Zaïane, Jian Pei:
On Pruning for Top-K Ranking in Uncertain Databases. Proc. VLDB Endow. 4(10): 598-609 (2011) - [j58]Zhen Liao, Daxin Jiang, Enhong Chen, Jian Pei, Huanhuan Cao, Hang Li:
Mining Concept Sequences from Large-Scale Search Logs for Context-Aware Query Suggestion. ACM Trans. Intell. Syst. Technol. 3(1): 17:1-17:40 (2011) - [j57]Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Ke Wang, Philip S. Yu, Jian Pei:
Can the Utility of Anonymized Data be Used for Privacy Breaches? ACM Trans. Knowl. Discov. Data 5(3): 16:1-16:24 (2011) - [j56]Ming Hua, Jian Pei, Xuemin Lin:
Ranking queries on uncertain data. VLDB J. 20(1): 129-153 (2011) - [c136]Jian Pei:
Early Classification on Temporal Sequences. EGC 2011: 1-2 - [c135]Bin Jiang, Jian Pei:
Outlier detection on uncertain data: Objects, instances, and inferences. ICDE 2011: 422-433 - [c134]Chedy Raïssi, Jian Pei:
Towards bounding sequential patterns. KDD 2011: 1379-1387 - [c133]Zhengzheng Xing, Jian Pei, Philip S. Yu, Ke Wang:
Extracting Interpretable Features for Early Classification on Time Series. SDM 2011: 247-258 - [c132]Daxin Jiang, Jian Pei, Hang Li:
Enhancing web search by mining search and browse logs. SIGIR 2011: 1295-1296 - [c131]Yufei Tao, Cheng Sheng, Jian Pei:
On k-skip shortest paths. SIGMOD Conference 2011: 421-432 - [c130]Michael Hay, Kun Liu, Gerome Miklau, Jian Pei, Evimaria Terzi:
Privacy-aware data management in information networks. SIGMOD Conference 2011: 1201-1204 - [c129]Dongyeop Kang, Daxin Jiang, Jian Pei, Zhen Liao, Xiaohui Sun, Ho-Jin Choi:
Multidimensional mining of large-scale search logs: a topic-concept cube approach. WSDM 2011: 385-394 - [c128]Qi He, Daniel Kifer, Jian Pei, Prasenjit Mitra, C. Lee Giles:
Citation recommendation without author supervision. WSDM 2011: 755-764 - [e9]Diane J. Cook, Jian Pei, Wei Wang, Osmar R. Zaïane, Xindong Wu:
11th IEEE International Conference on Data Mining, ICDM 2011, Vancouver, BC, Canada, December 11-14, 2011. IEEE Computer Society 2011, ISBN 978-0-7695-4408-3 [contents] - [e8]Myra Spiliopoulou, Haixun Wang, Diane J. Cook, Jian Pei, Wei Wang, Osmar R. Zaïane, Xindong Wu:
Data Mining Workshops (ICDMW), 2011 IEEE 11th International Conference on, Vancouver, BC, Canada, December 11, 2011. IEEE Computer Society 2011, ISBN 978-0-7695-4409-0 [contents] - [e7]Xue-wen Chen, Tharam S. Dillon, Hisao Ishibuchi, Jian Pei, Haixun Wang, M. Arif Wani:
10th International Conference on Machine Learning and Applications and Workshops, ICMLA 2011, Honolulu, Hawaii, USA, December 18-21, 2011. Volume 1: Main Conference. IEEE Computer Society 2011, ISBN 978-0-7695-4607-0 [contents] - [e6]Xue-wen Chen, Tharam S. Dillon, Hisao Ishibuchi, Jian Pei, Haixun Wang, M. Arif Wani:
10th International Conference on Machine Learning and Applications and Workshops, ICMLA 2011, Honolulu, Hawaii, USA, December 18-21, 2011. Volume 2: Special Sessions and Workshop. IEEE Computer Society 2011 [contents] - 2010
- [j55]Xu Cheng, Ji Xu, Jian Pei, Jiangchuan Liu:
Hierarchical distributed data classification in wireless sensor networks. Comput. Commun. 33(12): 1404-1413 (2010) - [j54]Bader Aljaber, Nicola Stokes, James Bailey, Jian Pei:
Document clustering of scientific texts using citation contexts. Inf. Retr. 13(2): 101-131 (2010) - [j53]Jin Huang, Feng Zhao, Jian Chen, Jian Pei, Jian Yin:
Towards Progressive and Load Balancing Distributed Computation: A Case Study on Skyline Analysis. J. Comput. Sci. Technol. 25(3): 431-443 (2010) - [j52]Zhengzheng Xing, Jian Pei:
Exploring Disease Association from the NHANES Data: Data Mining, Pattern Summarization, and Visual Analytics. Int. J. Data Warehous. Min. 6(3): 11-27 (2010) - [j51]Elsa Loekito, James Bailey, Jian Pei:
A binary decision diagram based approach for mining frequent subsequences. Knowl. Inf. Syst. 24(2): 235-268 (2010) - [j50]Chedy Raïssi, Jian Pei, Thomas Kister:
Computing Closed Skycubes. Proc. VLDB Endow. 3(1): 838-847 (2010) - [j49]Bart Goethals, Jian Pei:
Special issue on the best papers of SDM'10. Stat. Anal. Data Min. 3(6): 359-360 (2010) - [j48]Zhengzheng Xing, Jian Pei, Eamonn J. Keogh:
A brief survey on sequence classification. SIGKDD Explor. 12(1): 40-48 (2010) - [j47]Muhammad Aamir Cheema, Xuemin Lin, Wei Wang, Wenjie Zhang, Jian Pei:
Probabilistic Reverse Nearest Neighbor Queries on Uncertain Data. IEEE Trans. Knowl. Data Eng. 22(4): 550-564 (2010) - [j46]Sze Man Yuen, Yufei Tao, Xiaokui Xiao, Jian Pei, Donghui Zhang:
Superseding Nearest Neighbor Search on Uncertain Spatial Databases. IEEE Trans. Knowl. Data Eng. 22(7): 1041-1055 (2010) - [j45]Wenjie Zhang, Xuemin Lin, Ying Zhang, Jian Pei, Wei Wang:
Threshold-based probabilistic top-k dominating queries. VLDB J. 19(2): 283-305 (2010) - [j44]Zhenhua Lin, Bin Jiang, Jian Pei, Daxin Jiang:
Mining discriminative items in multiple data streams. World Wide Web 13(4): 497-522 (2010) - [c127]Ming Hua, Jian Pei:
Probabilistic path queries in road networks: traffic uncertainty aware path selection. EDBT 2010: 347-358 - [c126]Yufei Tao, Jian Pei, Jiexing Li, Xiaokui Xiao, Ke Yi, Zhengzheng Xing:
Correlation hiding by independence masking. ICDE 2010: 964-967 - [c125]Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Ke Wang, Yabo Xu, Jian Pei, Philip S. Yu:
Probabilistic Inference Protection on Anonymized Data. ICDM 2010: 1127-1132 - [c124]Hossein Maserrat, Jian Pei:
Neighbor query friendly compression of social networks. KDD 2010: 533-542 - [c123]Biao Xiang, Daxin Jiang, Jian Pei, Xiaohui Sun, Enhong Chen, Hang Li:
Context-aware ranking in web search. SIGIR 2010: 451-458 - [c122]Daxin Jiang, Jian Pei, Hang Li:
Search and browse log mining for web information retrieval: challenges, methods, and applications. SIGIR 2010: 912 - [c121]Yufei Tao, Ke Yi, Cheng Sheng, Jian Pei, Feifei Li:
Logging every footstep: quantile summaries for the entire history. SIGMOD Conference 2010: 639-650 - [c120]Qi He, Jian Pei, Daniel Kifer, Prasenjit Mitra, C. Lee Giles:
Context-aware citation recommendation. WWW 2010: 421-430 - [c119]Daxin Jiang, Jian Pei, Hang Li:
Web search/browse log mining: challenges, methods, and applications. WWW 2010: 1351-1352 - [e5]Heng Tao Shen, Jian Pei, M. Tamer Özsu, Lei Zou, Jiaheng Lu, Tok Wang Ling, Ge Yu, Yi Zhuang, Jie Shao:
Web-Age Information Management - WAIM 2010 International Workshops: IWGD 2010, XMLDM 2010, WCMT 2010, Jiuzhaigou Valley, China, July 15-17, 2010, Revised Selected Papers. Lecture Notes in Computer Science 6185, Springer 2010, ISBN 978-3-642-16719-5 [contents]
2000 – 2009
- 2009
- [j43]Man-Ping Ng, Ismael A. Vergara, Christian Frech, Qingkang Chen, Xinghuo Zeng, Jian Pei, Nansheng Chen:
OrthoClusterDB: an online platform for synteny blocks. BMC Bioinform. 10 (2009) - [j42]Ming Hua, Jian Pei:
Continuously monitoring top-k uncertain data streams: a probabilistic threshold method. Distributed Parallel Databases 26(1): 29-65 (2009) - [j41]Xinghuo Zeng, Jian Pei, Ke Wang, Jinyan Li:
PADS: a simple yet effective pattern-aware dynamic search method for fast maximal frequent pattern mining. Knowl. Inf. Syst. 20(3): 375-391 (2009) - [j40]Jian Pei, Lise Getoor, Ander de Keijzer:
Summary of the first ACM SIGKDD workshop on knowledge discovery from uncertain data (U'09). SIGKDD Explor. 11(2): 90-91 (2009) - [j39]Daxin Jiang, Jian Pei:
Mining frequent cross-graph quasi-cliques. ACM Trans. Knowl. Discov. Data 2(4): 16:1-16:42 (2009) - [j38]Bin Zhou, Jian Pei:
Link spam target detection using page farms. ACM Trans. Knowl. Discov. Data 3(3): 13:1-13:38 (2009) - [j37]Raymond Chi-Wing Wong, Jian Pei, Ada Wai-Chee Fu, Ke Wang:
Online Skyline Analysis with Dynamic Preferences on Nominal Attributes. IEEE Trans. Knowl. Data Eng. 21(1): 35-49 (2009) - [j36]Ming Hua, Man Ki Lau, Jian Pei, Kui Wu:
Continuous K-Means Monitoring with Low Reporting Cost in Sensor Networks. IEEE Trans. Knowl. Data Eng. 21(12): 1679-1691 (2009) - [j35]Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Ke Wang, Jian Pei:
Anonymization-based attacks in privacy-preserving data publishing. ACM Trans. Database Syst. 34(2): 8:1-8:46 (2009) - [j34]Ming Hua, Jian Pei, Ada Wai-Chee Fu, Xuemin Lin, Ho-fung Leung:
Top-k typicality queries and efficient query answering methods on large databases. VLDB J. 18(3): 809-835 (2009) - [c118]Jian Pei:
Towards Web Search Engine Scale Data Mining. AusDM 2009: 5 - [c117]Qi He, Bi Chen, Jian Pei, Baojun Qiu, Prasenjit Mitra, C. Lee Giles:
Detecting topic evolution in scientific literature: how can citations help? CIKM 2009: 957-966 - [c116]Hao Zhong, Tao Xie, Lu Zhang, Jian Pei, Hong Mei:
MAPO: Mining and Recommending API Usage Patterns. ECOOP 2009: 318-343 - [c115]Bin Zhou, Jian Pei:
Answering aggregate keyword queries on relational databases using minimal group-bys. EDBT 2009: 108-119 - [c114]Yanghua Xiao, Wentao Wu, Jian Pei, Wei Wang, Zhenying He:
Efficiently indexing shortest paths by exploiting symmetry in graphs. EDBT 2009: 493-504 - [c113]Bin Zhou, Yi Han, Jian Pei, Bin Jiang, Yufei Tao, Yan Jia:
Continuous privacy preserving publishing of data streams. EDBT 2009: 648-659 - [c112]Kathleen Tsoukalas, Bin Zhou, Jian Pei, Davor Cubranic:
Personalizing entity detection and recommendation with a fusion of web log mining techniques. EDBT 2009: 1100-1103 - [c111]Yufei Tao, Ling Ding, Xuemin Lin, Jian Pei:
Distance-Based Representative Skyline. ICDE 2009: 892-903 - [c110]Bin Jiang, Jian Pei:
Online Interval Skyline Queries on Time Series. ICDE 2009: 1036-1047 - [c109]Jian Pei, Yufei Tao, Jiexing Li, Xiaokui Xiao:
Privacy Preserving Publishing on Multiple Quasi-identifiers. ICDE 2009: 1132-1135 - [c108]Zhengzheng Xing, Jian Pei, Philip S. Yu:
Early Prediction on Time Series: A Nearest Neighbor Approach. IJCAI 2009: 1297-1302 - [c107]Junfeng Wang, Chun Chen, Can Wang, Jian Pei, Jiajun Bu, Ziyu Guan, Wei Vivian Zhang:
Can we learn a template-independent wrapper for news article extraction from a single training site? KDD 2009: 1345-1354 - [c106]Bin Zhou, Daxin Jiang, Jian Pei, Hang Li:
OLAP on search logs: an infrastructure supporting data-driven applications in search engines. KDD 2009: 1395-1404 - [c105]Xu Cheng, Ji Xu, Jian Pei, Jiangchuan Liu:
Hierarchical Distributed Data Classification in Wireless Sensor Networks. MASS 2009: 10-19 - [c104]Yanchang Zhao, Huaifeng Zhang, Shanshan Wu, Jian Pei, Longbing Cao, Chengqi Zhang, Hans Bohlscheid:
Debt Detection in Social Security by Sequence Classification Using Both Positive and Negative Patterns. ECML/PKDD (2) 2009: 648-663 - [c103]Yi Han, Bin Zhou, Jian Pei, Yan Jia:
Understanding Importance of Collaborations in Co-authorship Networks: A Supportiveness Analysis Approach. SDM 2009: 1112-1123 - [c102]Tengjiao Wang, Bishan Yang, Jun Gao, Dongqing Yang, Shiwei Tang, Haoyu Wu, Kedong Liu, Jian Pei:
MobileMiner: a real world case study of data mining in mobile communication. SIGMOD Conference 2009: 1083-1086 - [c101]Huanhuan Cao, Daxin Jiang, Jian Pei, Enhong Chen, Hang Li:
Towards context-aware search by learning a very large variable length hidden markov model from search logs. WWW 2009: 191-200 - [c100]Junfeng Wang, Xiaofei He, Can Wang, Jian Pei, Jiajun Bu, Chun Chen, Ziyu Guan, Gang Lu:
News article extraction with template-independent wrapper. WWW 2009: 1085-1086 - [e4]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] - [e3]Jian Pei, Lise Getoor, Ander de Keijzer:
Proceedings of the 1st ACM SIGKDD Workshop on Knowledge Discovery from Uncertain Data, Paris, France, June 28, 2009. ACM 2009, ISBN 978-1-60558-675-5 [contents] - [e2]Qing Li, Ling Feng, Jian Pei, Xiaoyang Sean Wang, Xiaofang Zhou, Qiao-Ming Zhu:
Advances in Data and Web Management, Joint International Conferences, APWeb/WAIM 2009, Suzhou, China, April 2-4, 2009, Proceedings. Lecture Notes in Computer Science 5446, Springer 2009, ISBN 978-3-642-00671-5 [contents] - [r1]Jian Pei:
Association Rules. Encyclopedia of Database Systems 2009: 140-142 - [i4]Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Ke Wang, Yabo Xu, Jian Pei, Philip S. Yu:
Anonymization with Worst-Case Distribution-Based Background Knowledge. CoRR abs/0909.1127 (2009) - 2008
- [j33]Haixun Wang, Jian Pei:
Clustering by Pattern Similarity. J. Comput. Sci. Technol. 23(4): 481-496 (2008) - [j32]Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Jian Pei, Yip Sing Ho, Tai Wong, Yubao Liu:
Efficient skyline querying with variable user preferences on nominal attributes. Proc. VLDB Endow. 1(1): 1032-1043 (2008) - [j31]Aparna S. Varde, Jian Pei:
Advances in information and knowledge management. SIGIR Forum 42(1): 29-35 (2008) - [j30]Bin Zhou, Jian Pei, Wo-Shun Luk:
A brief survey on anonymization techniques for privacy preserving publishing of social network data. SIGKDD Explor. 10(2): 12-22 (2008) - [j29]Jiuyong Li, Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Jian Pei:
Anonymization by Local Recoding in Data with Attribute Hierarchical Taxonomies. IEEE Trans. Knowl. Data Eng. 20(9): 1181-1194 (2008) - [c99]Benjamin C. M. Fung, Ke Wang, Ada Wai-Chee Fu, Jian Pei:
Anonymity for continuous data publishing. EDBT 2008: 264-275 - [c98]Xinghuo Zeng, Matthew J. Nesbitt, Jian Pei, Ke Wang, Ismael A. Vergara, Nansheng Chen:
OrthoCluster: a new tool for mining synteny blocks and applications in comparative genomics. EDBT 2008: 656-667 - [c97]Bin Zhou, Jian Pei:
Preserving Privacy in Social Networks Against Neighborhood Attacks. ICDE 2008: 506-515 - [c96]Ming Hua, Jian Pei, Wenjie Zhang, Xuemin Lin:
Efficiently Answering Probabilistic Threshold Top-k Queries on Uncertain Data. ICDE 2008: 1403-1405 - [c95]Yabo Xu, Benjamin C. M. Fung, Ke Wang, Ada Wai-Chee Fu, Jian Pei:
Publishing Sensitive Transactions for Itemset Utility. ICDM 2008: 1109-1114 - [c94]Bin Jiang, Jian Pei, Xuemin Lin, David W. Cheung, Jiawei Han:
Mining preferences from superior and inferior examples. KDD 2008: 390-398 - [c93]Huanhuan Cao, Daxin Jiang, Jian Pei, Qi He, Zhen Liao, Enhong Chen, Hang Li:
Context-aware query suggestion by mining click-through and session data. KDD 2008: 875-883 - [c92]Ming Hua, Jian Pei:
DiMaC: a disguised missing data cleaning tool. KDD 2008: 1077-1080 - [c91]Emad Soroush, Kui Wu, Jian Pei:
Fast and quality-guaranteed data streaming in resource-constrained sensor networks. MobiHoc 2008: 391-400 - [c90]Bin Zhou, Jian Pei, ZhaoHui Tang:
A Spamicity Approach to Web Spam Detection. SDM 2008: 277-288 - [c89]Zhengzheng Xing, Jian Pei, Guozhu Dong, Philip S. Yu:
Mining Sequence Classifiers for Early Prediction. SDM 2008: 644-655 - [c88]Ming Hua, Jian Pei, Wenjie Zhang, Xuemin Lin:
Ranking queries on uncertain data: a probabilistic threshold approach. SIGMOD Conference 2008: 673-686 - [c87]Ming Hua, Jian Pei:
DiMaC: a system for cleaning disguised missing data. SIGMOD Conference 2008: 1263-1266 - [c86]Jian Pei, Ming Hua, Yufei Tao, Xuemin Lin:
Query answering techniques on uncertain and probabilistic data: tutorial summary. SIGMOD Conference 2008: 1357-1364 - [c85]Kathleen Tsoukalas, Bin Zhou, Jian Pei, Davor Cubranic:
PLEDS: A Personalized Entity Detection System Based on Web Log Mining Techniques. WAIM 2008: 389-396 - [c84]Wenjie Zhang, Xuemin Lin, Jian Pei, Ying Zhang:
Managing Uncertain Data: Probabilistic Approaches. WAIM 2008: 405-412 - [p3]Ming Hua, Jian Pei:
A Survey of Utility-based Privacy-Preserving Data Transformation Methods. Privacy-Preserving Data Mining 2008: 207-237 - [p2]Yabo Xu, Ke Wang, Ada Wai-Chee Fu, Rong She, Jian Pei:
Privacy-Preserving Data Stream Classification. Privacy-Preserving Data Mining 2008: 487-510 - [i3]Emad Soroush, Kui Wu, Jian Pei:
Fast and Quality-Guaranteed Data Streaming in Resource-Constrained Sensor Networks. CoRR abs/0811.4672 (2008) - 2007
- [b1]Guozhu Dong, Jian Pei:
Sequence Data Mining. Advances in Database Systems 33, Kluwer 2007, ISBN 978-0-387-69936-3, pp. 1-137 - [j28]Jian Pei, Jiawei Han, Wei Wang:
Constraint-based sequential pattern mining: the pattern-growth methods. J. Intell. Inf. Syst. 28(2): 133-160 (2007) - [j27]Moonjung Cho, Jian Pei, Ke Wang:
Answering ad hoc aggregate queries from data streams using prefix aggregate trees. Knowl. Inf. Syst. 12(3): 301-329 (2007) - [j26]Daxin Jiang, Jian Pei, Murali Ramanathan, Chuan Lin, Chun Tang, Aidong Zhang:
Mining gene-sample-time microarray data: a coherent gene cluster discovery approach. Knowl. Inf. Syst. 13(3): 305-335 (2007) - [j25]Raymond T. Ng, Jian Pei:
Introduction to the special issue on data mining for health informatics. SIGKDD Explor. 9(1): 1-2 (2007) - [j24]Yufei Tao, Xiaokui Xiao, Jian Pei:
Efficient Skyline and Top-k Retrieval in Subspaces. IEEE Trans. Knowl. Data Eng. 19(8): 1072-1088 (2007) - [j23]Chong Liu, Kui Wu, Jian Pei:
An Energy-Efficient Data Collection Framework for Wireless Sensor Networks by Exploiting Spatiotemporal Correlation. IEEE Trans. Parallel Distributed Syst. 18(7): 1010-1023 (2007) - [c83]Jian Pei, Man Ki Mag Lau, Philip S. Yu:
TS-Trees: A Non-Alterable Search Tree Index for Trustworthy Databases on Write-Once-Read-Many (WORM) Storage. AINA 2007: 54-61 - [c82]Fianny Ming-fei Jiang, Jian Pei, Ada Wai-Chee Fu:
Ix-cubes: iceberg cubes for data warehousing and olap on xml data. CIKM 2007: 905-908 - [c81]Jian Pei, Ada Wai-Chee Fu, Xuemin Lin, Haixun Wang:
Computing Compressed Multidimensional Skyline Cubes Efficiently. ICDE 2007: 96-105 - [c80]Tao Xie, Jian Pei, Ahmed E. Hassan:
Mining Software Engineering Data. ICSE Companion 2007: 172-173 - [c79]Raymond Chi-Wing Wong, Jian Pei, Ada Wai-Chee Fu, Ke Wang:
Mining favorable facets. KDD 2007: 804-813 - [c78]Ming Hua, Jian Pei:
Cleaning disguised missing data: a heuristic approach. KDD 2007: 950-958 - [c77]Yunhao Liu, Lei Chen, Jian Pei, Qiuxia Chen, Yiyang Zhao:
Mining Frequent Trajectory Patterns for Activity Monitoring Using Radio Frequency Tag Arrays. PerCom 2007: 37-46 - [c76]Yingyi Bu, Oscar Tat-Wing Leung, Ada Wai-Chee Fu, Eamonn J. Keogh, Jian Pei, Sam Meshkin:
WAT: Finding Top-K Discords in Time Series Database. SDM 2007: 449-454 - [c75]Bin Zhou, Jian Pei:
Sketching Landscapes of Page Farms. SDM 2007: 593-598 - [c74]Mithun Acharya, Tao Xie, Jian Pei, Jun Xu:
Mining API patterns as partial orders from source code: from usage scenarios to specifications. ESEC/SIGSOFT FSE 2007: 25-34 - [c73]Jian Pei, Jian Xu, Zhibin Wang, Wei Wang, Ke Wang:
Maintaining K-Anonymity against Incremental Updates. SSDBM 2007: 5 - [c72]Jian Pei, Bin Jiang, Xuemin Lin, Yidong Yuan:
Probabilistic Skylines on Uncertain Data. VLDB 2007: 15-26 - [c71]Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Ke Wang, Jian Pei:
Minimality Attack in Privacy Preserving Data Publishing. VLDB 2007: 543-554 - [c70]Ming Hua, Jian Pei, Ada Wai-Chee Fu, Xuemin Lin, Ho-fung Leung:
Efficiently Answering Top-k Typicality Queries on Large Databases. VLDB 2007: 890-901 - [c69]Zhongmin Xiong, Wei Wang, Jian Pei:
Active Rules Termination Analysis Through Conditional Formula Containing Updatable Variable. APWeb/WAIM 2007: 281-292 - [c68]Raymond Chi-Wing Wong, Yubao Liu, Jian Yin, Zhilan Huang, Ada Wai-Chee Fu, Jian Pei:
(alpha, k)-anonymity Based Privacy Preservation by Lossy Join. APWeb/WAIM 2007: 733-744 - [p1]Jiawei Han, Yandong Cai, Yixin Chen, Guozhu Dong, Jian Pei, Benjamin W. Wah, Jianyong Wang:
Multi-Dimensional Analysis of Data Streams Using Stream Cubes. Data Streams - Models and Algorithms 2007: 103-125 - [e1]Aparna S. Varde, Jian Pei:
Proceedings of the First Ph.D. Workshop in CIKM, PIKM 2007, Sixteenth ACM Conference on Information and Knowledge Management, CIKM 2007, Lisbon, Portugal, November 9, 2007. ACM 2007 [contents] - [i2]Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Jian Pei, Yip Sing Ho, Tai Wong, Yubao Liu:
Efficient Skyline Querying with Variable User Preferences on Nominal Attributes. CoRR abs/0710.2604 (2007) - 2006
- [j22]Jian Pei, Jiawei Han, Laks V. S. Lakshmanan:
An Erratum on "Pushing Convertible Constraints in Frequent Itemset Mining". Data Min. Knowl. Discov. 12(1): 119 (2006) - [j21]Yan Huang, Jian Pei, Hui Xiong:
Mining Co-Location Patterns with Rare Events from Spatial Data Sets. GeoInformatica 10(3): 239-260 (2006) - [j20]Irene Pekerskaya, Jian Pei, Ke Wang:
Mining changing regions from access-constrained snapshots: a cluster-embedded decision tree approach. J. Intell. Inf. Syst. 27(3): 215-242 (2006) - [j19]Jian Xu, Wei Wang, Jian Pei, Xiaoyuan Wang, Baile Shi, Ada Wai-Chee Fu:
Utility-based anonymization for privacy preservation with less information loss. SIGKDD Explor. 8(2): 21-30 (2006) - [j18]Jianyong Wang, Jiawei Han, Jian Pei:
Closed Constrained Gradient Mining in Retail Databases. IEEE Trans. Knowl. Data Eng. 18(6): 764-769 (2006) - [j17]Jian Pei, Haixun Wang, Jian Liu, Ke Wang, Jianyong Wang, Philip S. Yu:
Discovering Frequent Closed Partial Orders from Strings. IEEE Trans. Knowl. Data Eng. 18(11): 1467-1481 (2006) - [j16]Yixin Chen, Guozhu Dong, Jiawei Han, Jian Pei, Benjamin W. Wah, Jianyong Wang:
Regression Cubes with Lossless Compression and Aggregation. IEEE Trans. Knowl. Data Eng. 18(12): 1585-1599 (2006) - [j15]Jian Pei, Yidong Yuan, Xuemin Lin, Wen Jin, Martin Ester, Qing Liu, Wei Wang, Yufei Tao, Jeffrey Xu Yu, Qing Zhang:
Towards multidimensional subspace skyline analysis. ACM Trans. Database Syst. 31(4): 1335-1381 (2006) - [c67]Jinyan Li, Haiquan Li, Limsoon Wong, Jian Pei, Guozhu Dong:
Minimum Description Length Principle: Generators Are Preferable to Closed Patterns. AAAI 2006: 409-414 - [c66]Yabo Xu, Ke Wang, Ada Wai-Chee Fu, Rong She, Jian Pei:
Classification spanning correlated data streams. CIKM 2006: 132-141 - [c65]Weiheng Zhu, Jian Pei, Jian Yin, Yihuang Xie:
Granularity Adaptive Density Estimation and on Demand Clustering of Concept-Drifting Data Streams. DaWaK 2006: 322-331 - [c64]Jiuyong Li, Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Jian Pei:
Achieving k-Anonymity by Clustering in Attribute Hierarchical Structures. DaWaK 2006: 405-416 - [c63]Yufei Tao, Xiaokui Xiao, Jian Pei:
SUBSKY: Efficient Computation of Skylines in Subspaces. ICDE 2006: 65 - [c62]Byung-Won On, Ergin Elmacioglu, Dongwon Lee, Jaewoo Kang, Jian Pei:
Improving Grouped-Entity Resolution Using Quasi-Cliques. ICDM 2006: 1008-1015 - [c61]Byung-Won On, Ergin Elmacioglu, Dongwon Lee, Jaewoo Kang, Jian Pei:
An effective approach to entity resolution problem using quasi-clique and its application to digital libraries. JCDL 2006: 51-52 - [c60]Charu C. Aggarwal, Jian Pei, Bo Zhang:
On privacy preservation against adversarial data mining. KDD 2006: 510-516 - [c59]Haixun Wang, Jian Yin, Jian Pei, Philip S. Yu, Jeffrey Xu Yu:
Suppressing model overfitting in mining concept-drifting data streams. KDD 2006: 736-741 - [c58]Jian Xu, Wei Wang, Jian Pei, Xiaoyuan Wang, Baile Shi, Ada Wai-Chee Fu:
Utility-based anonymization using local recoding. KDD 2006: 785-790 - [c57]Tao Xie, Jian Pei:
MAPO: mining API usages from open source repositories. MSR 2006: 54-57 - [c56]Junqi Zhang, Xiangdong Zhou, Wei Wang, Baile Shi, Jian Pei:
Using High Dimensional Indexes to Support Relevance Feedback Based Interactive Images Retrival. VLDB 2006: 1211-1214 - 2005
- [j14]Jiawei Han, Yixin Chen, Guozhu Dong, Jian Pei, Benjamin W. Wah, Jianyong Wang, Y. Dora Cai:
Stream Cube: An Architecture for Multi-Dimensional Analysis of Data Streams. Distributed Parallel Databases 18(2): 173-197 (2005) - [j13]Jian Pei:
Book Review on "Out of Their Minds: The Lives and Discoveries of 15 Great Computer Scientists". J. Comput. Sci. Technol. 20(1): 144-145 (2005) - [j12]Moonjung Cho, Jian Pei, Haixun Wang, Wei Wang:
Preference-Based Frequent Pattern Mining. Int. J. Data Warehous. Min. 1(4): 56-77 (2005) - [j11]Daxin Jiang, Jian Pei, Aidong Zhang:
An Interactive Approach to Mining Gene Expression Data. IEEE Trans. Knowl. Data Eng. 17(10): 1363-1378 (2005) - [c55]Guozhu Dong, Chunyu Jiang, Jian Pei, Jinyan Li, Limsoon Wong:
Mining Succinct Systems of Minimal Generators of Formal Concepts. DASFAA 2005: 175-187 - [c54]Daxin Jiang, Jian Pei, Aidong Zhang:
A General Approach to Mining Quality Pattern-Based Clusters from Microarray Data. DASFAA 2005: 188-200 - [c53]Jian Pei, Daxin Jiang, Aidong Zhang:
Mining Cross-Graph Quasi-Cliques in Gene Expression and Protein Interaction Data. ICDE 2005: 353-354 - [c52]Haixun Wang, Jian Pei, Philip S. Yu:
Online Mining of Data Streams: Applications, Techniques and Progress. ICDE 2005: 1146 - [c51]Jian Pei, Jian Liu, Haixun Wang, Ke Wang, Philip S. Yu, Jianyong Wang:
Efficiently Mining Frequent Closed Partial Orders. ICDM 2005: 753-756 - [c50]Jian Pei, Daxin Jiang, Aidong Zhang:
On mining cross-graph quasi-cliques. KDD 2005: 228-238 - [c49]Haixun Wang, Jian Pei, Philip S. Yu:
Pattern-based similarity search for microarray data. KDD 2005: 814-819 - [c48]Haixun Wang, Jian Pei:
A Random Method for Quantifying Changing Distributions in Data Streams. PKDD 2005: 684-691 - [c47]Jian Pei, Moonjung Cho, David Wai-Lok Cheung:
Cross Table Cubing: Mining Iceberg Cubes from Data Warehouses. SDM 2005: 461-465 - [c46]Chong Liu, Kui Wu, Jian Pei:
A dynamic clustering and scheduling approach to energy saving in data collection from wireless sensor networks. SECON 2005: 374-385 - [c45]Wei Wang, Chen Wang, Yongtai Zhu, Baile Shi, Jian Pei, Xifeng Yan, Jiawei Han:
GraphMiner: a structural pattern-mining system for large disk-based graph databases and its applications. SIGMOD Conference 2005: 879-881 - [c44]Hui Yu, Jian Pei, Shiwei Tang, Dongqing Yang:
Mining Most General Multidimensional Summarization of Probably Groups in Data Warehouses. SSDBM 2005: 185-194 - [c43]Jian Pei, Wen Jin, Martin Ester, Yufei Tao:
Catching the Best Views of Skyline: A Semantic Approach Based on Decisive Subspaces. VLDB 2005: 253-264 - [c42]Jianye Ye, Xiangdong Zhou, Jian Pei, Lian Chen, Liang Zhang:
A Stratification-Based Approach to Accurate and Fast Image Annotation. WAIM 2005: 284-296 - 2004
- [j10]Jiawei Han, Jian Pei, Yiwen Yin, Runying Mao:
Mining Frequent Patterns without Candidate Generation: A Frequent-Pattern Tree Approach. Data Min. Knowl. Discov. 8(1): 53-87 (2004) - [j9]Jian Pei, Jiawei Han, Laks V. S. Lakshmanan:
Pushing Convertible Constraints in Frequent Itemset Mining. Data Min. Knowl. Discov. 8(3): 227-252 (2004) - [j8]Jiawei Han, Jian Pei, Xifeng Yan:
From Sequential Pattern Mining to Structured Pattern Mining: A Pattern-Growth Approach. J. Comput. Sci. Technol. 19(3): 257-279 (2004) - [j7]Jian Pei, Guozhu Dong, Wei Zou, Jiawei Han:
Mining Condensed Frequent-Pattern Bases. Knowl. Inf. Syst. 6(5): 570-594 (2004) - [j6]Guozhu Dong, Jiawei Han, Joyce M. W. Lam, Jian Pei, Ke Wang, Wei Zou:
Mining Constrained Gradients in Large Databases. IEEE Trans. Knowl. Data Eng. 16(8): 922-938 (2004) - [j5]Jian Pei, Jiawei Han, Behzad Mortazavi-Asl, Jianyong Wang, Helen Pinto, Qiming Chen, Umeshwar Dayal, Meichun Hsu:
Mining Sequential Patterns by Pattern-Growth: The PrefixSpan Approach. IEEE Trans. Knowl. Data Eng. 16(11): 1424-1440 (2004) - [c41]Dongqing Yang, Shiwei Tang, Jian Pei, Tengjiao Wang, Jun Gao:
Preface to CoMWIM 2004. ER (Workshops) 2004: 197 - [c40]Jian Pei, Shambhu J. Upadhyaya, Faisal Farooq, Venugopal Govindaraju:
Data Mining for Intrusion Detection: Techniques, Applications and Systems. ICDE 2004: 877 - [c39]Chen Wang, Wei Wang, Jian Pei, Yongtai Zhu, Baile Shi:
Scalable mining of large disk-based graph databases. KDD 2004: 316-325 - [c38]Lin Deng, Jian Pei, Jinwen Ma, Dik Lun Lee:
A rank sum test method for informative gene discovery. KDD 2004: 410-419 - [c37]Daxin Jiang, Jian Pei, Murali Ramanathan, Chun Tang, Aidong Zhang:
Mining coherent gene clusters from gene-sample-time microarray data. KDD 2004: 430-439 - [c36]Chen Wang, Mingsheng Hong, Jian Pei, Haofeng Zhou, Wei Wang, Baile Shi:
Efficient Pattern-Growth Methods for Frequent Tree Pattern Mining. PAKDD 2004: 441-451 - [c35]Haixun Wang, Fang Chu, Wei Fan, Philip S. Yu, Jian Pei:
A Fast Algorithm for Subspace Clustering by Pattern Similarity. SSDBM 2004: 51-60 - [c34]Daxin Jiang, Jian Pei, Aidong Zhang:
GPX: Interactive Mining of Gene Expression Data. VLDB 2004: 1249-1252 - [i1]Raghu Ramakrishnan, Rakesh Agrawal, Johann-Christoph Freytag, Toni Bollinger, Christopher W. Clifton, Saso Dzeroski, Jochen Hipp, Daniel A. Keim, Stefan Kramer, Hans-Peter Kriegel, Ulf Leser, Bing Liu, Heikki Mannila, Rosa Meo, Shinichi Morishita, Raymond T. Ng, Jian Pei, Prabhakar Raghavan, Myra Spiliopoulou, Jaideep Srivastava, Vicenç Torra:
Data Mining: The Next Generation. Perspectives Workshop: Data Mining: The Next Generation 2004 - 2003
- [j4]Zhiyuan Chen, Li Chen, Jian Pei, Yufei Tao, Haixun Wang, Wei Wang, Jiong Yang, Jun Yang, Donghui Zhang:
Recent Progress on Selected Topics in Database Research - A Report by Nine Young Chinese Researchers Working in the United States. J. Comput. Sci. Technol. 18(5): 538-552 (2003) - [j3]Daxin Jiang, Jian Pei, Aidong Zhang:
Towards interactive exploration of gene expression patterns. SIGKDD Explor. 5(2): 79-90 (2003) - [c33]Daxin Jiang, Jian Pei, Aidong Zhang:
DHC: A Density-Based Hierarchical Clustering Method for Time Series Gene Expression Dat. BIBE 2003: 393-400 - [c32]Jian Pei:
A General Model for Online Analytical Processing of Complex Data. ER 2003: 321-334 - [c31]Jian Pei, Xiaoling Zhang, Moonjung Cho, Haixun Wang, Philip S. Yu:
MaPle: A Fast Algorithm for Maximal Pattern-based Clustering. ICDM 2003: 259-266 - [c30]Jianyong Wang, Jiawei Han, Jian Pei:
CLOSET+: searching for the best strategies for mining frequent closed itemsets. KDD 2003: 236-245 - [c29]Daxin Jiang, Jian Pei, Aidong Zhang:
Interactive exploration of coherent patterns in time-series gene expression data. KDD 2003: 565-570 - [c28]Chun Tang, Aidong Zhang, Jian Pei:
Mining phenotypes and informative genes from gene expression data. KDD 2003: 655-660 - [c27]Yan Huang, Hui Xiong, Shashi Shekhar, Jian Pei:
Mining Confident Colocation Rules without A Support Threshold. SAC 2003: 497-501 - [c26]Hye-Chung Kum, Jian Pei, Wei Wang, Dean Duncan:
ApproxMAP: Approximate Mining of Consensus Sequential Patterns. SDM 2003: 311-315 - [c25]Laks V. S. Lakshmanan, Jian Pei, Yan Zhao:
QC-Trees: An Efficient Summary Structure for Semantic OLAP. SIGMOD Conference 2003: 64-75 - [c24]Laks V. S. Lakshmanan, Jian Pei, Yan Zhao:
SOCQET: Semantic OLAP with Compressed Cube and Summarization. SIGMOD Conference 2003: 658 - [c23]Laks V. S. Lakshmanan, Jian Pei, Yan Zhao:
Efficacious Data Cube Exploration by Semantic Summarization and Compression. VLDB 2003: 1125-1128 - 2002
- [j2]Jian Pei, Jiawei Han:
Constrained frequent pattern mining: a pattern-growth view. SIGKDD Explor. 4(1): 31-39 (2002) - [c22]Jian Pei, Jiawei Han, Wei Wang:
Mining sequential patterns with constraints in large databases. CIKM 2002: 18-25 - [c21]Yixin Chen, Guozhu Dong, Jiawei Han, Jian Pei, Benjamin W. Wah, Jianyong Wang:
Online Analytical Processing Stream Data: Is It Feasible? DMKD 2002 - [c20]Jian Pei, Guozhu Dong, Wei Zou, Jiawei Han:
On Computing Condensed Frequent Pattern Bases. ICDM 2002: 378-385 - [c19]Tengjiao Wang, Shiwei Tang, Dongqing Yang, Jun Gao, Yuqing Wu, Jian Pei:
COMMIX: towards effective web information extraction, integration and query answering. SIGMOD Conference 2002: 620 - [c18]Jiawei Han, Jianyong Wang, Guozhu Dong, Jian Pei, Ke Wang:
CubeExplorer: online exploration of data cubes. SIGMOD Conference 2002: 626 - [c17]Laks V. S. Lakshmanan, Jian Pei, Jiawei Han:
Quotient Cube: How to Summarize the Semantics of a Data Cube. VLDB 2002: 778-789 - 2001
- [c16]Helen Pinto, Jiawei Han, Jian Pei, Ke Wang, Qiming Chen, Umeshwar Dayal:
Multi-Dimensional Sequential Pattern Mining. CIKM 2001: 81-88 - [c15]Jian Pei, Anthony K. H. Tung, Jiawei Han:
Fault-Tolerant Frequent Pattern Mining: Problems and Challenges. DMKD 2001 - [c14]Jian Pei, Jiawei Han, Behzad Mortazavi-Asl, Helen Pinto, Qiming Chen, Umeshwar Dayal, Meichun Hsu:
PrefixSpan: Mining Sequential Patterns by Prefix-Projected Growth. ICDE 2001: 215-224 - [c13]Jian Pei, Jiawei Han, Laks V. S. Lakshmanan:
Mining Frequent Item Sets with Convertible Constraints. ICDE 2001: 433-442 - [c12]Wenmin Li, Jiawei Han, Jian Pei:
CMAR: Accurate and Efficient Classification Based on Multiple Class-Association Rules. ICDM 2001: 369-376 - [c11]Jian Pei, Jiawei Han, Hongjun Lu, Shojiro Nishio, Shiwei Tang, Dongqing Yang:
H-Mine: Hyper-Structure Mining of Frequent Patterns in Large Databases. ICDM 2001: 441-448 - [c10]Jiawei Han, Laks V. S. Lakshmanan, Jian Pei:
Scalable frequent-pattern mining methods: an overview. KDD Tutorials 2001 - [c9]Jiawei Han, Jian Pei, Guozhu Dong, Ke Wang:
Efficient Computation of Iceberg Cubes with Complex Measures. SIGMOD Conference 2001: 1-12 - [c8]Jiawei Han, Hasan M. Jamil, Ying Lu, Liangyou Chen, Yaqin Liao, Jian Pei:
DNA-Miner: A System Prototype for Mining DNA Sequences. SIGMOD Conference 2001: 618 - [c7]Guozhu Dong, Jiawei Han, Joyce M. W. Lam, Jian Pei, Ke Wang:
Mining Multi-Dimensional Constrained Gradients in Data Cubes. VLDB 2001: 321-330 - 2000
- [j1]Jiawei Han, Jian Pei:
Mining Frequent Patterns by Pattern-Growth: Methodology and Implications. SIGKDD Explor. 2(2): 14-20 (2000) - [c6]Jian Pei, Jiawei Han, Runying Mao:
CLOSET: An Efficient Algorithm for Mining Frequent Closed Itemsets. ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery 2000: 21-30 - [c5]Jian Pei, Jiawei Han:
Can we push more constraints into frequent pattern mining? KDD 2000: 350-354 - [c4]Jiawei Han, Jian Pei, Behzad Mortazavi-Asl, Qiming Chen, Umeshwar Dayal, Meichun Hsu:
FreeSpan: frequent pattern-projected sequential pattern mining. KDD 2000: 355-359 - [c3]Jian Pei, Jiawei Han, Behzad Mortazavi-Asl, Hua Zhu:
Mining Access Patterns Efficiently from Web Logs. PAKDD 2000: 396-407 - [c2]Jiawei Han, Jian Pei, Yiwen Yin:
Mining Frequent Patterns without Candidate Generation. SIGMOD Conference 2000: 1-12 - [c1]Jian Pei, Runying Mao, Kan Hu, Hua Zhu:
Towards Data Mining Benchmarking: A Testbed for Performance Study of Frequent Pattern Mining. SIGMOD Conference 2000: 592
Coauthor Index