On Top-k Selection in Multi-Armed Bandits and Hidden Bipartite Graphs. - Wei Cao 007; Jian Li 015; Yufei Tao 001; Zhize Li (NIPS, 2015)

Balanced splitting on weighted intervals. - Wei Cao 007; Jian Li 015; Shimin Li; Haitao Wang 001 (Oper. Res. Lett., 2015)

ETCPS: An Effective and Scalable Traffic Condition Prediction System. - Dong Wang 037; Wei Cao 007; Mengwen Xu; Jian Li 015 (DASFAA (2), 2016)

Automatic user identification method across heterogeneous mobility data sources. - Wei Cao 007; Zhengwei Wu; Dong Wang 037; Jian Li 015; Haishan Wu (ICDE, 2016)

DeepSD: Supply-Demand Prediction for Online Car-Hailing Services Using Deep Neural Networks. - Dong Wang 037; Wei Cao 007; Jian Li 015; Jieping Ye (ICDE, 2017)

k-Regret Minimizing Set: Efficient Algorithms and Hardness. - Wei Cao 007; Jian Li 015; Haitao Wang 001; Kangning Wang 001; Ruosong Wang; Raymond Chi-Wing Wong; Wei Zhan (ICDT, 2017)

When Will You Arrive? Estimating Travel Time Based on Deep Neural Networks. - Dong Wang 037; Junbo Zhang; Wei Cao 007; Jian Li 015; Yu Zheng 004 (AAAI, 2018)

BRITS: Bidirectional Recurrent Imputation for Time Series. - Wei Cao 007; Dong Wang 037; Jian Li 015; Hao Zhou 012; Lei Li 005; Yitan Li (NeurIPS, 2018)

Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction. - Shun Zheng 001; Wei Cao 007; Wei Xu 005; Jiang Bian 002 (EMNLP/IJCNLP (1), 2019)

LMVP: Video Predictor with Leaked Motion Information. - Dong Wang 037; Yitong Li 001; Wei Cao 007; Liqun Chen 001; Qi Wei; Lawrence Carin (CoRR, 2019)

Self-paced Ensemble for Highly Imbalanced Massive Data Classification. - Zhining Liu 002; Wei Cao 007; Zhifeng Gao; Jiang Bian 002; Hechang Chen; Yi Chang 001; Tie-Yan Liu (ICDE, 2020)

MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler. - Zhining Liu 002; Pengfei Wei 001; Jing Jiang 002; Wei Cao 007; Jiang Bian 002; Yi Chang 001 (NeurIPS, 2020)

Revisiting the Evaluation of End-to-end Event Extraction. - Shun Zheng 001; Wei Cao 007; Wei Xu 005; Jiang Bian 002 (ACL/IJCNLP (Findings), 2021)

HierST: A Unified Hierarchical Spatial-temporal Framework for COVID-19 Trend Forecasting. - Shun Zheng 001; Zhifeng Gao; Wei Cao 007; Jiang Bian 002; Tie-Yan Liu (CIKM, 2021)

IMBENS: Ensemble Class-imbalanced Learning in Python. - Zhining Liu 002; Zhepei Wei; Erxin Yu; Qiang Huang; Kai Guo 003; Boyang Yu; Zhaonian Cai; Hangting Ye; Wei Cao 007; Jiang Bian 002; Pengfei Wei 001; Jing Jiang 002; et al. (CoRR, 2021)

Towards Inter-class and Intra-class Imbalance in Class-imbalanced Learning. - Zhining Liu 002; Pengfei Wei 001; Zhepei Wei; Boyang Yu; Jing Jiang 002; Wei Cao 007; Jiang Bian 002; Yi Chang 001 (CoRR, 2021)

A continuous glucose monitoring measurements forecasting approach via sporadic blood glucose monitoring. - Yuting Xing; Hangting Ye; Xiaoyu Zhang 008; Wei Cao 007; Shun Zheng 001; Jiang Bian 002; Yike Guo (BIBM, 2022)

A Graph-based Spatiotemporal Model for Energy Markets. - Swati Sharma; Srinivasan Iyengar; Shun Zheng 001; Kshitij Kapoor; Wei Cao 007; Jiang Bian 002; Shivkumar Kalyanaraman; John Lemmon (CIKM, 2022)

DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting. - Wei Fan 010; Shun Zheng 001; Xiaohan Yi; Wei Cao 007; Yanjie Fu; Jiang Bian 002; Tie-Yan Liu (ICLR, 2022)

Efficient and Effective Multi-task Grouping via Meta Learning on Task Combinations. - Xiaozhuang Song; Shun Zheng 001; Wei Cao 007; James J. Q. Yu; Jiang Bian 002 (NeurIPS, 2022)

Less Is More: Fast Multivariate Time Series Forecasting with Light Sampling-oriented MLP Structures. - Tianping Zhang; Yizhuo Zhang 001; Wei Cao 007; Jiang Bian 002; Xiaohan Yi; Shun Zheng 001; Jian Li 015 (CoRR, 2022)

OpenFE: Automated Feature Generation beyond Expert-level Performance. - Tianping Zhang; Zheyu Zhang; Zhiyuan Fan; Haoyan Luo; Fengyuan Liu; Wei Cao 007; Jian Li 015 (CoRR, 2022)

UADB: Unsupervised Anomaly Detection Booster. - Hangting Ye; Zhining Liu 002; Xinyi Shen; Wei Cao 007; Shun Zheng 001; Xiaofan Gui; Huishuai Zhang; Yi Chang 001; Jiang Bian 002 (ICDE, 2023)

Web-based Long-term Spine Treatment Outcome Forecasting. - Hangting Ye; Zhining Liu 002; Wei Cao 007; Amir M. Amiri; Jiang Bian 002; Yi Chang 001; Jon D. Lurie; Jim Weinstein; Tie-Yan Liu (KDD, 2023)

Warpformer: A Multi-scale Modeling Approach for Irregular Clinical Time Series. - Jiawen Zhang 001; Shun Zheng 001; Wei Cao 007; Jiang Bian 002; Jia Li 009 (KDD, 2023)

Challenges of COVID-19 Case Forecasting in the US, 2020-2021. - Velma K. Lopez; Estee Y. Cramer; Robert Pagano; John M. Drake; Eamon B. O'Dea; Madeline Adee; Turgay Ayer; Jagpreet Chhatwal; Ozden O. Dalgic; Mary A. Ladd; Benjamin P. Linas; Peter P. Mueller; et al. (PLoS Comput. Biol., 2024)

NuTime: Numerically Multi-Scaled Embedding for Large- Scale Time-Series Pretraining. - Chenguo Lin; Xumeng Wen; Wei Cao 007; Congrui Huang; Jiang Bian 002; Stephen Lin 001; Zhirong Wu (Trans. Mach. Learn. Res., 2024)