| 2026 | ICDE | SkyNet: Solving Skyline Queries with Neural Networks. | Jinfei Liu, Jiayao Zhang, Pengyun Zhu, Li Xiong, Jian Pei |
| 2025 | ICDE | CDA: Cost-Sensitive Data Acquisition for Incomplete Datasets. | Kaiyu Li, Xiaohui Yu, Jian Pei |
| 2025 | ICDE | Computing Shapley Values in Preference Queries. | Jiayao Zhang, Chirong Zhang, Jian Pei, Xuan Luo, Jianliang Xu, Jinfei Liu |
| 2025 | KDD | The 2nd Workshop on Large Language Models for E-Commerce. | Haoyu Han, Fali Wang, Chen Luo, Hui Liu, Jing Huang, Zhen Li, Zhenwei Dai, Qi He, Yiwei Sun, Dawei Yin, Suhang Wang, Jiliang Tang, Jian Pei, Xianfeng Tang |
| 2025 | KDD | AI4DE: The 1st International Workshop on AI for Data Editing. | Yanjie Fu, Kunpeng Liu, Dongjie Wang, Xiangliang Zhang, Khalid K. Osman, Charu Aggarwal, Suzanne M. Shontz, Huan Liu, Jian Pei |
| 2025 | KDD | A Survey on Small Language Models in the Era of Large Language Models: Architecture, Capabilities, and Trustworthiness. | Fali Wang, Minhua Lin, Yao Ma, Hui Liu, Qi He, Xianfeng Tang, Jiliang Tang, Jian Pei, Suhang Wang |
| 2025 | MICCAI | Evaluating Large Language Models for Automated Clinical Abstraction in Pulmonary Embolism Registries: Performance Across Model Sizes, Versions, and Parameters. | Mahmoud Alwakeel, Emory Buck, Jonathan G. Martin, Imran Aslam, Sudarshan Rajagopal, Jian Pei, Mihai V. Podgoreanu, Christopher J. Lindsell, An-Kwok Ian Wong |
| 2025 | WWW | Data and AI Markets in a Nutshell. | Jian Pei, Xiaohui Yu |
| 2024 | EMNLP | ReCaLL: Membership Inference via Relative Conditional Log-Likelihoods. | Roy Xie, Junlin Wang, Ruomin Huang, Minxing Zhang, Rong Ge, Jian Pei, Neil Gong, Bhuwan Dhingra |
| 2024 | ICLR | Fair and Efficient Contribution Valuation for Vertical Federated Learning. | Zhenan Fan, Huang Fang, Xinglu Wang, Zirui Zhou, Jian Pei, Michael P. Friedlander, Yong Zhang |
| 2024 | ICML | Position: TrustLLM: Trustworthiness in Large Language Models. | 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 |
| 2024 | KDD | The Fourth International Workshop on Smart Data for Blockchain and Distributed Ledger (SDBD'24). | Feida Zhu, Jian Pei, Michael Zeller, Bingxue Zhang |
| 2024 | MICCAI | EHRmonize: A Framework for Medical Concept Abstraction from Electronic Health Records using Large Language Models. | Joo Matos, Jack Gallifant, Jian Pei, An-Kwok Ian Wong |
| 2024 | WWW | Linear-Time Graph Neural Networks for Scalable Recommendations. | Jiahao Zhang, Rui Xue, Wenqi Fan, Xin Xu, Qing Li, Jian Pei, Xiaorui Liu |
| 2024 | SIGMOD | Applications and Computation of the Shapley Value in Databases and Machine Learning. | Xuan Luo, Jian Pei |
| 2023 | AAAI | Identify Event Causality with Knowledge and Analogy. | Sifan Wu, Ruihui Zhao, Yefeng Zheng, Jian Pei, Bang Liu |
| 2023 | AAAI | A Graph Fusion Approach for Cross-Lingual Machine Reading Comprehension. | Zenan Xu, Linjun Shou, Jian Pei, Ming Gong, Qinliang Su, Xiaojun Quan, Daxin Jiang |
| 2023 | ACL | Alleviating Over-smoothing for Unsupervised Sentence Representation. | Nuo Chen, Linjun Shou, Jian Pei, Ming Gong, Bowen Cao, Jianhui Chang, Jia Li, Daxin Jiang |
| 2023 | ACL | Structural Contrastive Pretraining for Cross-Lingual Comprehension. | Nuo Chen, Linjun Shou, Tengtao Song, Ming Gong, Jian Pei, Jianhui Chang, Daxin Jiang, Jia Li |
| 2023 | CIKM | RUEL: Retrieval-Augmented User Representation with Edge Browser Logs for Sequential Recommendation. | Ning Wu, Ming Gong, Linjun Shou, Jian Pei, Daxin Jiang |
| 2023 | ICASSP | Bias Reduced Semidefinite Relaxation Method for Multistatic Localization in the Absence of Transmitter Position And Its Synchronization. | Jian Pei, Gang Wang, K. C. Ho, Lei Huang |
| 2023 | ICDE | Dynamic Shapley Value Computation. | Jiayao Zhang, Haocheng Xia, Qiheng Sun, Jinfei Liu, Li Xiong, Jian Pei, Kui Ren |
| 2023 | ICDE | Disentangled Graph Social Recommendation. | Lianghao Xia, Yizhen Shao, Chao Huang, Yong Xu, Huance Xu, Jian Pei |
| 2023 | ICML | LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation. | Rui Xue, Haoyu Han, MohamadAli Torkamani, Jian Pei, Xiaorui Liu |
| 2023 | KDD | Graph Neural Networks: Foundation, Frontiers and Applications. | Lingfei Wu, Peng Cui, Jian Pei, Liang Zhao, Xiaojie Guo |
| 2023 | KDD | Serverless Federated AUPRC Optimization for Multi-Party Collaborative Imbalanced Data Mining. | Xidong Wu, Zhengmian Hu, Jian Pei, Heng Huang |
| 2023 | KDD | Deep Learning on Graphs: Methods and Applications (DLG-KDD2023). | Lingfei Wu, Jian Pei, Jiliang Tang, Yinglong Xia, Xiaojie Guo |
| 2023 | WWW | Tutorials at The Web Conference 2023. | Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espn-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 Kk-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 R. 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 |
| 2023 | WWW | Offline Policy Evaluation in Large Action Spaces via Outcome-Oriented Action Grouping. | Jie Peng, Hao Zou, Jiashuo Liu, Shaoming Li, Yibao Jiang, Jian Pei, Peng Cui |
| 2022 | AAAI | Cosine Model Watermarking against Ensemble Distillation. | Laurent Charette, Lingyang Chu, Yizhou Chen, Jian Pei, Lanjun Wang, Yong Zhang |
| 2022 | AAAI | From Good to Best: Two-Stage Training for Cross-Lingual Machine Reading Comprehension. | Nuo Chen, Linjun Shou, Ming Gong, Jian Pei |
| 2022 | CIKM | TrustLOG: The First Workshop on Trustworthy Learning on Graphs. | Jian Kang, Shuaicheng Zhang, Bo Li, Jingrui He, Jian Pei, Dawei Zhou |
| 2022 | EMNLP | Label-aware Multi-level Contrastive Learning for Cross-lingual Spoken Language Understanding. | Shining Liang, Linjun Shou, Jian Pei, Ming Gong, Wanli Zuo, Xianglin Zuo, Daxin Jiang |
| 2022 | EMNLP | Lexicon-Enhanced Self-Supervised Training for Multilingual Dense Retrieval. | Houxing Ren, Linjun Shou, Jian Pei, Ning Wu, Ming Gong, Daxin Jiang |
| 2022 | ICDE | Improving Fairness for Data Valuation in Horizontal Federated Learning. | Zhenan Fan, Huang Fang, Zirui Zhou, Jian Pei, Michael P. Friedlander, Changxin Liu, Yong Zhang |
| 2022 | ICDE | Spatial-Temporal Hypergraph Self-Supervised Learning for Crime Prediction. | Zhonghang Li, Chao Huang, Lianghao Xia, Yong Xu, Jian Pei |
| 2022 | ICDE | vChain+: Optimizing Verifiable Blockchain Boolean Range Queries. | Haixin Wang, Cheng Xu, Ce Zhang, Jianliang Xu, Zhe Peng, Jian Pei |
| 2022 | ICDM | Toward Unified Data and Algorithm Fairness via Adversarial Data Augmentation and Adaptive Model Fine-tuning. | Yanfu Zhang, Runxue Bao, Jian Pei, Heng Huang |
| 2022 | KDD | Communication-Efficient Robust Federated Learning with Noisy Labels. | Junyi Li, Jian Pei, Heng Huang |
| 2022 | KDD | Graph Neural Networks: Foundation, Frontiers and Applications. | Lingfei Wu, Peng Cui, Jian Pei, Liang Zhao, Xiaojie Guo |
| 2022 | KDD | Deep Learning on Graphs: Methods and Applications (DLG-KDD2022). | Lingfei Wu, Jian Pei, Jiliang Tang, Yinglong Xia, Xiaojie Guo |
| 2022 | KDD | Improving Social Network Embedding via New Second-Order Continuous Graph Neural Networks. | Yanfu Zhang, Shangqian Gao, Jian Pei, Heng Huang |
| 2022 | MMM | Mining Minority-Class Examples with Uncertainty Estimates. | Gursimran Singh, Lingyang Chu, Lanjun Wang, Jian Pei, Qi Tian, Yong Zhang |
| 2022 | NAACL | Bridging the Gap between Language Models and Cross-Lingual Sequence Labeling. | Nuo Chen, Linjun Shou, Ming Gong, Jian Pei, Daxin Jiang |
| 2022 | RecSys | Combining Unstructured Content and Knowledge Graphs into Recommendation Datasets. | Weizhe Lin, Linjun Shou, Ming Gong, Jian Pei, Zhilin Wang, Bill Byrne, Daxin Jiang |
| 2022 | RecSys | Transformer-Empowered Content-Aware Collaborative Filtering. | Weizhe Lin, Linjun Shou, Ming Gong, Jian Pei, Zhilin Wang, Bill Byrne, Daxin Jiang |
| 2022 | WWW | Robust Self-Supervised Structural Graph Neural Network for Social Network Prediction. | Yanfu Zhang, Hongchang Gao, Jian Pei, Heng Huang |
| 2022 | WWW | Multiple Choice Questions based Multi-Interest Policy Learning for Conversational Recommendation. | Yiming Zhang, Lingfei Wu, Qi Shen, Yitong Pang, Zhihua Wei, Fangli Xu, Bo Long, Jian Pei |
| 2022 | WSDM | Heterogeneous Global Graph Neural Networks for Personalized Session-based Recommendation. | Yitong Pang, Lingfei Wu, Qi Shen, Yiming Zhang, Zhihua Wei, Fangli Xu, Ethan Chang, Bo Long, Jian Pei |
| 2021 | AAAI | Personalized Cross-Silo Federated Learning on Non-IID Data. | Yutao Huang, Lingyang Chu, Zirui Zhou, Lanjun Wang, Jiangchuan Liu, Jian Pei, Yong Zhang |
| 2021 | AAAI | Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation. | Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Xiyue Zhang, Hongsheng Yang, Jian Pei, Liefeng Bo |
| 2021 | AAAI | Reinforced Multi-Teacher Selection for Knowledge Distillation. | Fei Yuan, Linjun Shou, Jian Pei, Wutao Lin, Ming Gong, Yan Fu, Daxin Jiang |
| 2021 | ACL | Reasoning over Entity-Action-Location Graph for Procedural Text Understanding. | Hao Huang, Xiubo Geng, Jian Pei, Guodong Long, Daxin Jiang |
| 2021 | ACL | Modeling Event-Pair Relations in External Knowledge Graphs for Script Reasoning. | Yucheng Zhou, Xiubo Geng, Tao Shen, Jian Pei, Wenqiang Zhang, Daxin Jiang |
| 2021 | EMNLP | Learning from Multiple Noisy Augmented Data Sets for Better Cross-Lingual Spoken Language Understanding. | Yingmei Guo, Linjun Shou, Jian Pei, Ming Gong, Mingxing Xu, Zhiyong Wu, Daxin Jiang |
| 2021 | ICCV | Finding Representative Interpretations on Convolutional Neural Networks. | Peter Cho-Ho Lam, Lingyang Chu, Maxim Torgonskiy, Jian Pei, Yong Zhang, Lanjun Wang |
| 2021 | ICDE | Eclipse: Generalizing kNN and Skyline. | Jinfei Liu, Li Xiong, Qiuchen Zhang, Jian Pei, Jun Luo |
| 2021 | ICDE | Automating Entity Matching Model Development. | Pei Wang, Weiling Zheng, Jiannan Wang, Jian Pei |
| 2021 | KDD | Auto-Split: A General Framework of Collaborative Edge-Cloud AI. | Amin Banitalebi-Dehkordi, Naveen Vedula, Jian Pei, Fei Xia, Lanjun Wang, Yong Zhang |
| 2021 | KDD | Reinforced Iterative Knowledge Distillation for Cross-Lingual Named Entity Recognition. | Shining Liang, Ming Gong, Jian Pei, Linjun Shou, Wanli Zuo, Xianglin Zuo, Daxin Jiang |
| 2021 | KDD | Data Pricing and Data Asset Governance in the AI Era. | Jian Pei, Feida Zhu, Zicun Cong, Xuan Luo, Huiwen Liu, Xin Mu |
| 2021 | KDD | Language Scaling: Applications, Challenges and Approaches. | Linjun Shou, Ming Gong, Jian Pei, Xiubo Geng, Xingjie Zhou, Daxin Jiang |
| 2021 | KDD | The Sixth International Workshop on Deep Learning on Graphs - Methods and Applications (DLG-KDD'21). | Lingfei Wu, Jiliang Tang, Yinglong Xia, Jian Pei, Xiaojie Guo |
| 2021 | KDD | AsySQN: Faster Vertical Federated Learning Algorithms with Better Computation Resource Utilization. | Qingsong Zhang, Bin Gu, Cheng Deng, Songxiang Gu, Liefeng Bo, Jian Pei, Heng Huang |
| 2021 | KDD | Towards Fair Federated Learning. | Zirui Zhou, Lingyang Chu, Changxin Liu, Lanjun Wang, Jian Pei, Yong Zhang |
| 2021 | KDD | The Third International Workshop on Smart Data for Blockchain and Distributed Ledger (SDBD2021): Joint Workshop with SIGKDD 2021 Trust Day. | Feida Zhu, Jian Pei |
| 2021 | WSDM | CalibreNet: Calibration Networks for Multilingual Sequence Labeling. | Shining Liang, Linjun Shou, Jian Pei, Ming Gong, Wanli Zuo, Daxin Jiang |
| 2020 | COLING | Cross-lingual Machine Reading Comprehension with Language Branch Knowledge Distillation. | Junhao Liu, Linjun Shou, Jian Pei, Ming Gong, Min Yang, Daxin Jiang |
| 2020 | COLING | A Graph Representation of Semi-structured Data for Web Question Answering. | Xingyao Zhang, Linjun Shou, Jian Pei, Ming Gong, Lijie Wen, Daxin Jiang |
| 2020 | CVPR | Discrete Model Compression With Resource Constraint for Deep Neural Networks. | Shangqian Gao, Feihu Huang, Jian Pei, Heng Huang |
| 2020 | CVPR | LightTrack: A Generic Framework for Online Top-Down Human Pose Tracking. | Guanghan Ning, Jian Pei, Heng Huang |
| 2020 | ICDE | Exact and Consistent Interpretation of Piecewise Linear Models Hidden behind APIs: A Closed Form Solution. | Zicun Cong, Lingyang Chu, Lanjun Wang, Xia Hu, Jian Pei |
| 2020 | ICML | Momentum-Based Policy Gradient Methods. | Feihu Huang, Shangqian Gao, Jian Pei, Heng Huang |
| 2020 | IJCAI | Sinkhorn Regression. | Lei Luo, Jian Pei, Heng Huang |
| 2020 | KDD | AM-GCN: Adaptive Multi-channel Graph Convolutional Networks. | Xiao Wang, Meiqi Zhu, Deyu Bo, Peng Cui, Chuan Shi, Jian Pei |
| 2020 | KDD | Measuring Model Complexity of Neural Networks with Curve Activation Functions. | Xia Hu, Weiqing Liu, Jiang Bian, Jian Pei |
| 2020 | KDD | Data Pricing - From Economics to Data Science. | Jian Pei |
| 2020 | KDD | Mining Implicit Relevance Feedback from User Behavior for Web Question Answering. | Linjun Shou, Shining Bo, Feixiang Cheng, Ming Gong, Jian Pei, Daxin Jiang |
| 2020 | KDD | Recent Advances on Graph Analytics and Its Applications in Healthcare. | Fei Wang, Peng Cui, Jian Pei, Yangqiu Song, Chengxi Zang |
| 2019 | CIKM | Tracking Top-k Influential Users with Relative Errors. | Yu Yang, Zhefeng Wang, Tianyuan Jin, Jian Pei, Enhong Chen |
| 2019 | CIKM | SkyRec: Finding Pareto Optimal Groups. | Jinfei Liu, Li Xiong, Jian Pei, Jun Luo, Haoyu Zhang, Si Zhang |
| 2019 | CIKM | Practicing the Art of Data Science. | Jian Pei |
| 2019 | ICDE | Is There a Data Science and Engineering Brain Drain? If So, How Can We Rebalance Them? | Jian Pei |
| 2019 | ICML | Demystifying Dropout. | Hongchang Gao, Jian Pei, Heng Huang |
| 2019 | KDD | Multi-Horizon Time Series Forecasting with Temporal Attention Learning. | Chenyou Fan, Yuze Zhang, Yi Pan, Xiaoyue Li, Chi Zhang, Rong Yuan, Di Wu, Wensheng Wang, Jian Pei, Heng Huang |
| 2019 | KDD | Conditional Random Field Enhanced Graph Convolutional Neural Networks. | Hongchang Gao, Jian Pei, Heng Huang |
| 2019 | KDD | ProGAN: Network Embedding via Proximity Generative Adversarial Network. | Hongchang Gao, Jian Pei, Heng Huang |
| 2019 | KDD | Learning From Networks: Algorithms, Theory, and Applications. | Xiao Huang, Peng Cui, Yuxiao Dong, Jundong Li, Huan Liu, Jian Pei, Le Song, Jie Tang, Fei Wang, Hongxia Yang, Wenwu Zhu |
| 2019 | KDD | Mining Graphs and Networks: A 15-Year Journey. | Jian Pei |
| 2019 | KDD | AutoNE: Hyperparameter Optimization for Massive Network Embedding. | Ke Tu, Jianxin Ma, Peng Cui, Jian Pei, Wenwu Zhu |
| 2019 | KDD | Tackle Balancing Constraint for Incremental Semi-Supervised Support Vector Learning. | Shuyang Yu, Bin Gu, Kunpeng Ning, Haiyan Chen, Jian Pei, Heng Huang |
| 2019 | NAACL | Detecting Customer Complaint Escalation with Recurrent Neural Networks and Manually-Engineered Features. | Wei Yang, Luchen Tan, Chunwei Lu, Anqi Cui, Han Li, Xi Chen, Kun Xiong, Muzi Wang, Ming Li, Jian Pei, Jimmy Lin |
| 2018 | AAAI | TIMERS: Error-Bounded SVD Restart on Dynamic Networks. | Ziwei Zhang, Peng Cui, Jian Pei, Xiao Wang, Wenwu Zhu |
| 2018 | ICDE | Skyline Diagram: Finding the Voronoi Counterpart for Skyline Queries. | Jinfei Liu, Juncheng Yang, Li Xiong, Jian Pei, Jun Luo |
| 2018 | ICDE | Mining Density Contrast Subgraphs. | Yu Yang, Lingyang Chu, Yanyan Zhang, Zhefeng Wang, Jian Pei, Enhong Chen |
| 2018 | ICDM | Finding Maximal Significant Linear Representation between Long Time Series. | Jiaye Wu, Yang Wang, Peng Wang, Jian Pei, Wei Wang |
| 2018 | KDD | Exact and Consistent Interpretation for Piecewise Linear Neural Networks: A Closed Form Solution. | Lingyang Chu, Xia Hu, Juhua Hu, Lanjun Wang, Jian Pei |
| 2018 | KDD | Sketched Follow-The-Regularized-Leader for Online Factorization Machine. | Luo Luo, Wenpeng Zhang, Zhihua Zhang, Wenwu Zhu, Tong Zhang, Jian Pei |
| 2018 | KDD | Arbitrary-Order Proximity Preserved Network Embedding. | Ziwei Zhang, Peng Cui, Xiao Wang, Jian Pei, Xuanrong Yao, Wenwu Zhu |
| 2018 | WWW | Online Compact Convexified Factorization Machine. | Xiao Lin, Wenpeng Zhang, Min Zhang, Wenwu Zhu, Jian Pei, Peilin Zhao, Junzhou Huang |
| 2018 | SIGMOD | AQP++: Connecting Approximate Query Processing With Aggregate Precomputation for Interactive Analytics. | Jinglin Peng, Dongxiang Zhang, Jiannan Wang, Jian Pei |
| 2017 | AAAI | Community Preserving Network Embedding. | Xiao Wang, Peng Cui, Jing Wang, Jian Pei, Wenwu Zhu, Shiqiang Yang |
| 2017 | ICDE | Secure Skyline Queries on Cloud Platform. | Jinfei Liu, Juncheng Yang, Li Xiong, Jian Pei |
| 2017 | IRI | Schemaless Join for Result Set Preferences. | Chuancong Gao, Jian Pei, Jiannan Wang, Yi Chang |
| 2016 | CIKM | Urban Traffic Prediction through the Second Use of Inexpensive Big Data from Buildings. | Zimu Zheng, Dan Wang, Jian Pei, Yi Yuan, Cheng Fan, Linda Fu Xiao |
| 2016 | ICDE | Finding the minimum spatial keyword cover. | Dong-Wan Choi, Jian Pei, Xuemin Lin |
| 2016 | KDD | Finding Gangs in War from Signed Networks. | Lingyang Chu, Zhefeng Wang, Jian Pei, Jiannan Wang, Zijin Zhao, Enhong Chen |
| 2016 | KDD | When Social Influence Meets Item Inference. | Hui-Ju Hung, Hong-Han Shuai, De-Nian Yang, Liang-Hao Huang, Wang-Chien Lee, Jian Pei, Ming-Syan Chen |
| 2016 | KDD | Asymmetric Transitivity Preserving Graph Embedding. | Mingdong Ou, Peng Cui, Jian Pei, Ziwei Zhang, Wenwu Zhu |
| 2016 | SIGMOD | Continuous Influence Maximization: What Discounts Should We Offer to Social Network Users? | Yu Yang, Xiangbo Mao, Jian Pei, Xiaofei He |
| 2015 | EDBT | Efficiently Computing Top-K Shortest Path Join. | Lijun Chang, Xuemin Lin, Lu Qin, Jeffrey Xu Yu, Jian Pei |
| 2015 | EDBT | Mining Frequent Co-occurrence Patterns across Multiple Data Streams. | Ziqiang Yu, Xiaohui Yu, Yang Liu, Wenzhu Li, Jian Pei |
| 2015 | ICDE | Cleaning structured event logs: A graph repair approach. | Jianmin Wang, Shaoxu Song, Xuemin Lin, Xiaochen Zhu, Jian Pei |
| 2015 | ICDM | Finding Multiple Stable Clusterings. | Juhua Hu, Qi Qian, Jian Pei, Rong Jin, Shenghuo Zhu |
| 2015 | KDD | Tornado Forecasting with Multiple Markov Boundaries. | Kui Yu, Dawei Wang, Wei Ding, Jian Pei, David L. Small, Shafiqul Islam, Xindong Wu |
| 2015 | KDD | COSNET: Connecting Heterogeneous Social Networks with Local and Global Consistency. | Yutao Zhang, Jie Tang, Zhilin Yang, Jian Pei, Philip S. Yu |
| 2015 | PAKDD | Reliable Early Classification on Multivariate Time Series with Numerical and Categorical Attributes. | Yu-Feng Lin, Hsuan-Hsu Chen, Vincent S. Tseng, Jian Pei |
| 2015 | PAKDD | Scalable Outlying-Inlying Aspects Discovery via Feature Ranking. | Xuan Vinh Nguyen, Jeffrey Chan, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Jian Pei |
| 2014 | CIKM | Within-Network Classification Using Radius-Constrained Neighborhood Patterns. | Jialong Han, Ji-Rong Wen, Jian Pei |
| 2014 | CIKM | An Appliance-Driven Approach to Detection of Corrupted Load Curve Data. | Guoming Tang, Kui Wu, Jian Pei, Jiuyang Tang, Jingsheng Lei |
| 2014 | ICDM | SNOC: Streaming Network Node Classification. | Ting Guo, Xingquan Zhu, Jian Pei, Chengqi Zhang |
| 2014 | ICDM | Towards Scalable and Accurate Online Feature Selection for Big Data. | Kui Yu, Xindong Wu, Wei Ding, Jian Pei |
| 2014 | KDD | Distance metric learning using dropout: a structured regularization approach. | Qi Qian, Juhua Hu, Rong Jin, Jian Pei, Shenghuo Zhu |
| 2014 | PAKDD | Structure-Aware Distance Measures for Comparing Clusterings in Graphs. | Jeffrey Chan, Xuan Vinh Nguyen, Wei Liu, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Jian Pei |
| 2014 | PAKDD | Mining Contrast Subspaces. | Lei Duan, Guanting Tang, Jian Pei, James Bailey, Guozhu Dong, Akiko Campbell, Changjie Tang |
| 2014 | PAKDD | An Iterative Fusion Approach to Graph-Based Semi-Supervised Learning from Multiple Views. | Yang Wang, Jian Pei, Xuemin Lin, Qing Zhang, Wenjie Zhang |
| 2014 | SDM | How Can I Index My Thousands of Photos Effectively and Automatically? An Unsupervised Feature Selection Approach. | Juhua Hu, Jian Pei, Jie Tang |
| 2014 | SDM | Efficient Matching of Substrings in Uncertain Sequences. | Yuxuan Li, James Bailey, Lars Kulik, Jian Pei |
| 2014 | SPIRE | Shortest Unique Queries on Strings. | Xiaocheng Hu, Jian Pei, Yufei Tao |
| 2013 | AAAI | Towards Cohesive Anomaly Mining. | Yun Xiong, Yangyong Zhu, Philip S. Yu, Jian Pei |
| 2013 | ICDE | On shortest unique substring queries. | Jian Pei, Wush Chi-Hsuan Wu, Mi-Yen Yeh |
| 2013 | ICDM | Mining Probabilistic Frequent Spatio-Temporal Sequential Patterns with Gap Constraints from Uncertain Databases. | Yuxuan Li, James Bailey, Lars Kulik, Jian Pei |
| 2013 | ICDM | Mining Statistically Significant Sequential Patterns. | Ccile Low-Kam, Chedy Rassi, Mehdi Kaytoue, Jian Pei |
| 2013 | ICDM | Price Information Patterns in Web Search Advertising: An Empirical Case Study on Accommodation Industry. | Guanting Tang, Yupin Yang, Jian Pei |
| 2013 | SSDBM | Mining multidimensional contextual outliers from categorical relational data. | Guanting Tang, James Bailey, Jian Pei, Guozhu Dong |
| 2012 | CIKM | On compressing weighted time-evolving graphs. | Wei Liu, Andrey Kan, Jeffrey Chan, James Bailey, Christopher Leckie, Jian Pei, Kotagiri Ramamohanarao |
| 2012 | EDBT | Aggregate queries on probabilistic record linkages. | Ming Hua, Jian Pei |
| 2012 | ICDE | Random Error Reduction in Similarity Search on Time Series: A Statistical Approach. | Wush Chi-Hsuan Wu, Mi-Yen Yeh, Jian Pei |
| 2012 | ICDM | Community Preserving Lossy Compression of Social Networks. | Hossein Maserrat, Jian Pei |
| 2012 | SIGIR | Mining query subtopics from search log data. | Yunhua Hu, Ya-nan Qian, Hang Li, Daxin Jiang, Jian Pei, Qinghua Zheng |
| 2012 | SC | A practical method for estimating performance degradation on multicore processors, and its application to HPC workloads. | Tyler Dwyer, Alexandra Fedorova, Sergey Blagodurov, Mark Roth, Fabien Gaud, Jian Pei |
| 2011 | ICDE | Outlier detection on uncertain data: Objects, instances, and inferences. | Bin Jiang, Jian Pei |
| 2011 | KDD | Towards bounding sequential patterns. | Chedy Rassi, Jian Pei |
| 2011 | SIGIR | Enhancing web search by mining search and browse logs. | Daxin Jiang, Jian Pei, Hang Li |
| 2011 | SIGMOD | Privacy-aware data management in information networks. | Michael Hay, Kun Liu, Gerome Miklau, Jian Pei, Evimaria Terzi |
| 2011 | SIGMOD | On k-skip shortest paths. | Yufei Tao, Cheng Sheng, Jian Pei |
| 2011 | WSDM | Citation recommendation without author supervision. | Qi He, Daniel Kifer, Jian Pei, Prasenjit Mitra, C. Lee Giles |
| 2011 | WSDM | Multidimensional mining of large-scale search logs: a topic-concept cube approach. | Dongyeop Kang, Daxin Jiang, Jian Pei, Zhen Liao, Xiaohui Sun, Ho-Jin Choi |
| 2011 | SDM | Extracting Interpretable Features for Early Classification on Time Series. | Zhengzheng Xing, Jian Pei, Philip S. Yu, Ke Wang |
| 2010 | EDBT | Probabilistic path queries in road networks: traffic uncertainty aware path selection. | Ming Hua, Jian Pei |
| 2010 | ICDE | Correlation hiding by independence masking. | Yufei Tao, Jian Pei, Jiexing Li, Xiaokui Xiao, Ke Yi, Zhengzheng Xing |
| 2010 | ICDM | Probabilistic Inference Protection on Anonymized Data. | Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Ke Wang, Yabo Xu, Jian Pei, Philip S. Yu |
| 2010 | KDD | Neighbor query friendly compression of social networks. | Hossein Maserrat, Jian Pei |
| 2010 | WWW | Context-aware citation recommendation. | Qi He, Jian Pei, Daniel Kifer, Prasenjit Mitra, C. Lee Giles |
| 2010 | WWW | Web search/browse log mining: challenges, methods, and applications. | Daxin Jiang, Jian Pei, Hang Li |
| 2010 | SIGIR | Search and browse log mining for web information retrieval: challenges, methods, and applications. | Daxin Jiang, Jian Pei, Hang Li |
| 2010 | SIGIR | Context-aware ranking in web search. | Biao Xiang, Daxin Jiang, Jian Pei, Xiaohui Sun, Enhong Chen, Hang Li |
| 2010 | SIGMOD | Logging every footstep: quantile summaries for the entire history. | Yufei Tao, Ke Yi, Cheng Sheng, Jian Pei, Feifei Li |
| 2009 | AusDM | Towards Web Search Engine Scale Data Mining. | Jian Pei |
| 2009 | CIKM | Detecting topic evolution in scientific literature: how can citations help? | Qi He, Bi Chen, Jian Pei, Baojun Qiu, Prasenjit Mitra, C. Lee Giles |
| 2009 | ECOOP | MAPO: Mining and Recommending API Usage Patterns. | Hao Zhong, Tao Xie, Lu Zhang, Jian Pei, Hong Mei |
| 2009 | EDBT | Personalizing entity detection and recommendation with a fusion of web log mining techniques. | Kathleen Tsoukalas, Bin Zhou, Jian Pei, Davor Cubranic |
| 2009 | EDBT | Efficiently indexing shortest paths by exploiting symmetry in graphs. | Yanghua Xiao, Wentao Wu, Jian Pei, Wei Wang, Zhenying He |
| 2009 | EDBT | Continuous privacy preserving publishing of data streams. | Bin Zhou, Yi Han, Jian Pei, Bin Jiang, Yufei Tao, Yan Jia |
| 2009 | EDBT | Answering aggregate keyword queries on relational databases using minimal group-bys. | Bin Zhou, Jian Pei |
| 2009 | ICDE | Online Interval Skyline Queries on Time Series. | Bin Jiang, Jian Pei |
| 2009 | ICDE | Privacy Preserving Publishing on Multiple Quasi-identifiers. | Jian Pei, Yufei Tao, Jiexing Li, Xiaokui Xiao |
| 2009 | ICDE | Distance-Based Representative Skyline. | Yufei Tao, Ling Ding, Xuemin Lin, Jian Pei |
| 2009 | IJCAI | Early Prediction on Time Series: A Nearest Neighbor Approach. | Zhengzheng Xing, Jian Pei, Philip S. Yu |
| 2009 | KDD | Can we learn a template-independent wrapper for news article extraction from a single training site? | Junfeng Wang, Chun Chen, Can Wang, Jian Pei, Jiajun Bu, Ziyu Guan, Wei Vivian Zhang |
| 2009 | KDD | OLAP on search logs: an infrastructure supporting data-driven applications in search engines. | Bin Zhou, Daxin Jiang, Jian Pei, Hang Li |
| 2009 | MASS | Hierarchical Distributed Data Classification in Wireless Sensor Networks. | Xu Cheng, Ji Xu, Jian Pei, Jiangchuan Liu |
| 2009 | WWW | Towards context-aware search by learning a very large variable length hidden markov model from search logs. | Huanhuan Cao, Daxin Jiang, Jian Pei, Enhong Chen, Hang Li |
| 2009 | WWW | News article extraction with template-independent wrapper. | Junfeng Wang, Xiaofei He, Can Wang, Jian Pei, Jiajun Bu, Chun Chen, Ziyu Guan, Gang Lu |
| 2009 | SIGMOD | MobileMiner: a real world case study of data mining in mobile communication. | Tengjiao Wang, Bishan Yang, Jun Gao, Dongqing Yang, Shiwei Tang, Haoyu Wu, Kedong Liu, Jian Pei |
| 2009 | SDM | Understanding Importance of Collaborations in Co-authorship Networks: A Supportiveness Analysis Approach. | Yi Han, Bin Zhou, Jian Pei, Yan Jia |
| 2008 | EDBT | Anonymity for continuous data publishing. | Benjamin C. M. Fung, Ke Wang, Ada Wai-Chee Fu, Jian Pei |
| 2008 | EDBT | OrthoCluster: a new tool for mining synteny blocks and applications in comparative genomics. | Xinghuo Zeng, Matthew J. Nesbitt, Jian Pei, Ke Wang, Ismael A. Vergara, Nansheng Chen |
| 2008 | ICDE | Efficiently Answering Probabilistic Threshold Top-k Queries on Uncertain Data. | Ming Hua, Jian Pei, Wenjie Zhang, Xuemin Lin |
| 2008 | ICDE | Preserving Privacy in Social Networks Against Neighborhood Attacks. | Bin Zhou, Jian Pei |
| 2008 | ICDM | Publishing Sensitive Transactions for Itemset Utility. | Yabo Xu, Benjamin C. M. Fung, Ke Wang, Ada Wai-Chee Fu, Jian Pei |
| 2008 | KDD | Context-aware query suggestion by mining click-through and session data. | Huanhuan Cao, Daxin Jiang, Jian Pei, Qi He, Zhen Liao, Enhong Chen, Hang Li |
| 2008 | KDD | DiMaC: a disguised missing data cleaning tool. | Ming Hua, Jian Pei |
| 2008 | KDD | Mining preferences from superior and inferior examples. | Bin Jiang, Jian Pei, Xuemin Lin, David W. Cheung, Jiawei Han |
| 2008 | MOBIHOC | Fast and quality-guaranteed data streaming in resource-constrained sensor networks. | Emad Soroush, Kui Wu, Jian Pei |
| 2008 | SIGMOD | DiMaC: a system for cleaning disguised missing data. | Ming Hua, Jian Pei |
| 2008 | SIGMOD | Ranking queries on uncertain data: a probabilistic threshold approach. | Ming Hua, Jian Pei, Wenjie Zhang, Xuemin Lin |
| 2008 | SIGMOD | Query answering techniques on uncertain and probabilistic data: tutorial summary. | Jian Pei, Ming Hua, Yufei Tao, Xuemin Lin |
| 2008 | SDM | Mining Sequence Classifiers for Early Prediction. | Zhengzheng Xing, Jian Pei, Guozhu Dong, Philip S. Yu |
| 2008 | SDM | A Spamicity Approach to Web Spam Detection. | Bin Zhou, Jian Pei, ZhaoHui Tang |
| 2007 | AINA | TS-Trees: A Non-Alterable Search Tree Index for Trustworthy Databases on Write-Once-Read-Many (WORM) Storage. | Jian Pei, Man Ki Mag Lau, Philip S. Yu |
| 2007 | CIKM | Ix-cubes: iceberg cubes for data warehousing and olap on xml data. | Fianny Ming-fei Jiang, Jian Pei, Ada Wai-Chee Fu |
| 2007 | ICDE | Computing Compressed Multidimensional Skyline Cubes Efficiently. | Jian Pei, Ada Wai-Chee Fu, Xuemin Lin, Haixun Wang |
| 2007 | ICSE | Mining Software Engineering Data. | Tao Xie, Jian Pei, Ahmed E. Hassan |
| 2007 | KDD | Cleaning disguised missing data: a heuristic approach. | Ming Hua, Jian Pei |
| 2007 | KDD | Mining favorable facets. | Raymond Chi-Wing Wong, Jian Pei, Ada Wai-Chee Fu, Ke Wang |
| 2007 | PERCOM | Mining Frequent Trajectory Patterns for Activity Monitoring Using Radio Frequency Tag Arrays. | Yunhao Liu, Lei Chen, Jian Pei, Qiuxia Chen, Yiyang Zhao |
| 2007 | VLDB | Efficiently Answering Top-k Typicality Queries on Large Databases. | Ming Hua, Jian Pei, Ada Wai-Chee Fu, Xuemin Lin, Ho-fung Leung |
| 2007 | VLDB | Probabilistic Skylines on Uncertain Data. | Jian Pei, Bin Jiang, Xuemin Lin, Yidong Yuan |
| 2007 | VLDB | Minimality Attack in Privacy Preserving Data Publishing. | Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Ke Wang, Jian Pei |
| 2007 | SDM | WAT: Finding Top-K Discords in Time Series Database. | Yingyi Bu, Oscar Tat-Wing Leung, Ada Wai-Chee Fu, Eamonn J. Keogh, Jian Pei, Sam Meshkin |
| 2007 | SDM | Sketching Landscapes of Page Farms. | Bin Zhou, Jian Pei |
| 2007 | SSDBM | Maintaining K-Anonymity against Incremental Updates. | Jian Pei, Jian Xu, Zhibin Wang, Wei Wang, Ke Wang |
| 2006 | AAAI | Minimum Description Length Principle: Generators Are Preferable to Closed Patterns. | Jinyan Li, Haiquan Li, Limsoon Wong, Jian Pei, Guozhu Dong |
| 2006 | CIKM | Classification spanning correlated data streams. | Yabo Xu, Ke Wang, Ada Wai-Chee Fu, Rong She, Jian Pei |
| 2006 | DaWaK | Achieving | Jiuyong Li, Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Jian Pei |
| 2006 | DaWaK | Granularity Adaptive Density Estimation and on Demand Clustering of Concept-Drifting Data Streams. | Weiheng Zhu, Jian Pei, Jian Yin, Yihuang Xie |
| 2006 | ICDE | SUBSKY: Efficient Computation of Skylines in Subspaces. | Yufei Tao, Xiaokui Xiao, Jian Pei |
| 2006 | ICDM | Improving Grouped-Entity Resolution Using Quasi-Cliques. | Byung-Won On, Ergin Elmacioglu, Dongwon Lee, Jaewoo Kang, Jian Pei |
| 2006 | KDD | On privacy preservation against adversarial data mining. | Charu C. Aggarwal, Jian Pei, Bo Zhang |
| 2006 | KDD | Suppressing model overfitting in mining concept-drifting data streams. | Haixun Wang, Jian Yin, Jian Pei, Philip S. Yu, Jeffrey Xu Yu |
| 2006 | KDD | Utility-based anonymization using local recoding. | Jian Xu, Wei Wang, Jian Pei, Xiaoyuan Wang, Baile Shi, Ada Wai-Chee Fu |
| 2006 | MSR | MAPO: mining API usages from open source repositories. | Tao Xie, Jian Pei |
| 2006 | VLDB | Using High Dimensional Indexes to Support Relevance Feedback Based Interactive Images Retrival. | Junqi Zhang, Xiangdong Zhou, Wei Wang, Baile Shi, Jian Pei |
| 2005 | DASFAA | Mining Succinct Systems of Minimal Generators of Formal Concepts. | Guozhu Dong, Chunyu Jiang, Jian Pei, Jinyan Li, Limsoon Wong |
| 2005 | DASFAA | A General Approach to Mining Quality Pattern-Based Clusters from Microarray Data. | Daxin Jiang, Jian Pei, Aidong Zhang |
| 2005 | ICDE | Mining Cross-Graph Quasi-Cliques in Gene Expression and Protein Interaction Data. | Jian Pei, Daxin Jiang, Aidong Zhang |
| 2005 | ICDE | Online Mining of Data Streams: Applications, Techniques and Progress. | Haixun Wang, Jian Pei, Philip S. Yu |
| 2005 | ICDM | Efficiently Mining Frequent Closed Partial Orders. | Jian Pei, Jian Liu, Haixun Wang, Ke Wang, Philip S. Yu, Jianyong Wang |
| 2005 | KDD | On mining cross-graph quasi-cliques. | Jian Pei, Daxin Jiang, Aidong Zhang |
| 2005 | KDD | Pattern-based similarity search for microarray data. | Haixun Wang, Jian Pei, Philip S. Yu |
| 2005 | SIGMOD | GraphMiner: a structural pattern-mining system for large disk-based graph databases and its applications. | Wei Wang, Chen Wang, Yongtai Zhu, Baile Shi, Jian Pei, Xifeng Yan, Jiawei Han |
| 2005 | VLDB | Catching the Best Views of Skyline: A Semantic Approach Based on Decisive Subspaces. | Jian Pei, Wen Jin, Martin Ester, Yufei Tao |
| 2005 | SDM | Cross Table Cubing: Mining Iceberg Cubes from Data Warehouses. | Jian Pei, Moonjung Cho, David Wai-Lok Cheung |
| 2005 | SECON | A dynamic clustering and scheduling approach to energy saving in data collection from wireless sensor networks. | Chong Liu, Kui Wu, Jian Pei |
| 2005 | SSDBM | Mining Most General Multidimensional Summarization of Probably Groups in Data Warehouses. | Hui Yu, Jian Pei, Shiwei Tang, Dongqing Yang |
| 2004 | ER | Preface to CoMWIM 2004. | Dongqing Yang, Shiwei Tang, Jian Pei, Tengjiao Wang, Jun Gao |
| 2004 | ICDE | Data Mining for Intrusion Detection: Techniques, Applications and Systems. | Jian Pei, Shambhu J. Upadhyaya, Faisal Farooq, Venugopal Govindaraju |
| 2004 | KDD | A rank sum test method for informative gene discovery. | Lin Deng, Jian Pei, Jinwen Ma, Dik Lun Lee |
| 2004 | KDD | Mining coherent gene clusters from gene-sample-time microarray data. | Daxin Jiang, Jian Pei, Murali Ramanathan, Chun Tang, Aidong Zhang |
| 2004 | KDD | Scalable mining of large disk-based graph databases. | Chen Wang, Wei Wang, Jian Pei, Yongtai Zhu, Baile Shi |
| 2004 | PAKDD | Efficient Pattern-Growth Methods for Frequent Tree Pattern Mining. | Chen Wang, Mingsheng Hong, Jian Pei, Haofeng Zhou, Wei Wang, Baile Shi |
| 2004 | VLDB | GPX: Interactive Mining of Gene Expression Data. | Daxin Jiang, Jian Pei, Aidong Zhang |
| 2004 | SSDBM | A Fast Algorithm for Subspace Clustering by Pattern Similarity. | Haixun Wang, Fang Chu, Wei Fan, Philip S. Yu, Jian Pei |
| 2003 | BIBE | DHC: A Density-Based Hierarchical Clustering Method for Time Series Gene Expression Dat. | Daxin Jiang, Jian Pei, Aidong Zhang |
| 2003 | ER | A General Model for Online Analytical Processing of Complex Data. | Jian Pei |
| 2003 | ICDM | MaPle: A Fast Algorithm for Maximal Pattern-based Clustering. | Jian Pei, Xiaoling Zhang, Moonjung Cho, Haixun Wang, Philip S. Yu |
| 2003 | KDD | Interactive exploration of coherent patterns in time-series gene expression data. | Daxin Jiang, Jian Pei, Aidong Zhang |
| 2003 | KDD | Mining phenotypes and informative genes from gene expression data. | Chun Tang, Aidong Zhang, Jian Pei |
| 2003 | KDD | CLOSET+: searching for the best strategies for mining frequent closed itemsets. | Jianyong Wang, Jiawei Han, Jian Pei |
| 2003 | SAC | Mining Confident Colocation Rules without A Support Threshold. | Yan Huang, Hui Xiong, Shashi Shekhar, Jian Pei |
| 2003 | SIGMOD | QC-Trees: An Efficient Summary Structure for Semantic OLAP. | Laks V. S. Lakshmanan, Jian Pei, Yan Zhao |
| 2003 | SIGMOD | SOCQET: Semantic OLAP with Compressed Cube and Summarization. | Laks V. S. Lakshmanan, Jian Pei, Yan Zhao |
| 2003 | VLDB | Efficacious Data Cube Exploration by Semantic Summarization and Compression. | Laks V. S. Lakshmanan, Jian Pei, Yan Zhao |
| 2003 | SDM | ApproxMAP: Approximate Mining of Consensus Sequential Patterns. | Hye-Chung Kum, Jian Pei, Wei Wang, Dean Duncan |
| 2002 | CIKM | Mining sequential patterns with constraints in large databases. | Jian Pei, Jiawei Han, Wei Wang |
| 2002 | ICDM | On Computing Condensed Frequent Pattern Bases. | Jian Pei, Guozhu Dong, Wei Zou, Jiawei Han |
| 2002 | SIGMOD | CubeExplorer: online exploration of data cubes. | Jiawei Han, Jianyong Wang, Guozhu Dong, Jian Pei, Ke Wang |
| 2002 | SIGMOD | COMMIX: towards effective web information extraction, integration and query answering. | Tengjiao Wang, Shiwei Tang, Dongqing Yang, Jun Gao, Yuqing Wu, Jian Pei |
| 2002 | VLDB | Quotient Cube: How to Summarize the Semantics of a Data Cube. | Laks V. S. Lakshmanan, Jian Pei, Jiawei Han |
| 2001 | CIKM | Multi-Dimensional Sequential Pattern Mining. | Helen Pinto, Jiawei Han, Jian Pei, Ke Wang, Qiming Chen, Umeshwar Dayal |
| 2001 | ICDE | Mining Frequent Item Sets with Convertible Constraints. | Jian Pei, Jiawei Han, Laks V. S. Lakshmanan |
| 2001 | ICDE | PrefixSpan: Mining Sequential Patterns by Prefix-Projected Growth. | Jian Pei, Jiawei Han, Behzad Mortazavi-Asl, Helen Pinto, Qiming Chen, Umeshwar Dayal, Meichun Hsu |
| 2001 | ICDM | CMAR: Accurate and Efficient Classification Based on Multiple Class-Association Rules. | Wenmin Li, Jiawei Han, Jian Pei |
| 2001 | ICDM | H-Mine: Hyper-Structure Mining of Frequent Patterns in Large Databases. | Jian Pei, Jiawei Han, Hongjun Lu, Shojiro Nishio, Shiwei Tang, Dongqing Yang |
| 2001 | KDD | Scalable frequent-pattern mining methods: an overview. | Jiawei Han, Laks V. S. Lakshmanan, Jian Pei |
| 2001 | SIGMOD | Efficient Computation of Iceberg Cubes with Complex Measures. | Jiawei Han, Jian Pei, Guozhu Dong, Ke Wang |
| 2001 | SIGMOD | DNA-Miner: A System Prototype for Mining DNA Sequences. | Jiawei Han, Hasan M. Jamil, Ying Lu, Liangyou Chen, Yaqin Liao, Jian Pei |
| 2001 | VLDB | Mining Multi-Dimensional Constrained Gradients in Data Cubes. | Guozhu Dong, Jiawei Han, Joyce M. W. Lam, Jian Pei, Ke Wang |
| 2000 | KDD | FreeSpan: frequent pattern-projected sequential pattern mining. | Jiawei Han, Jian Pei, Behzad Mortazavi-Asl, Qiming Chen, Umeshwar Dayal, Meichun Hsu |
| 2000 | KDD | Can we push more constraints into frequent pattern mining? | Jian Pei, Jiawei Han |
| 2000 | PAKDD | Mining Access Patterns Efficiently from Web Logs. | Jian Pei, Jiawei Han, Behzad Mortazavi-Asl, Hua Zhu |
| 2000 | SIGMOD | Mining Frequent Patterns without Candidate Generation. | Jiawei Han, Jian Pei, Yiwen Yin |
| 2000 | SIGMOD | Towards Data Mining Benchmarking: A Testbed for Performance Study of Frequent Pattern Mining. | Jian Pei, Runying Mao, Kan Hu, Hua Zhu |