Wei Cao

35 papers A* 11A 3Journal 16Unranked 5
YearRankTypeTitle / Venue / Authors
2024 J jnl
Challenges of COVID-19 Case Forecasting in the US, 2020-2021.
PLoS Comput. Biol.
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, Jade Xiao, Johannes Bracher, Alvaro J. Castro Rivadeneira, Aaron Gerding, Tilmann Gneiting, Yuxin Huang, Dasuni Jayawardena, Abdul H. Kanji, Khoa Le, Anja Mühlemann, Jarad Niemi, Evan L. Ray, Ariane Stark, Yijin Wang, Nutcha Wattanachit, Martha W. Zorn, Sen Pei, Jeffrey Shaman, Teresa K. Yamana, Samuel R. Tarasewicz, Daniel J. Wilson, Sid Baccam, Heidi Gurung, Steve Stage, Brad Suchoski, Lei Gao, Zhiling Gu, Myungjin Kim, Xinyi Li, Guannan Wang, Lily Wang, Yueying Wang, Shan Yu, Lauren Gardner, Sonia Jindal, Maximilian Marshall, Kristen Nixon, Juan Dent, Alison L. Hill, Joshua Kaminsky, Elizabeth C. Lee, Joseph Chadi Lemaitre, Justin Lessler, Claire P. Smith, Shaun Truelove, Matt Kinsey, Luke C. Mullany, Kaitlin Rainwater-Lovett, Lauren Shin, Katharine Tallaksen, Shelby Wilson, Dean Karlen, Lauren A. Castro, Geoffrey Fairchild, Isaac Michaud, Dave Osthus, Jiang Bian, Wei Cao, Zhifeng Gao, Juan M. Lavista Ferres, Chaozhuo Li, Tie-Yan Liu, Xing Xie, Shun Zhang, Shun Zheng, Matteo Chinazzi, Jessica T. Davis, Kunpeng Mu, Ana L. Pastore y Piontti, Alessandro Vespignani, Xinyue Xiong, Robert Walraven, Jinghui Chen, Quanquan Gu, Lingxiao Wang, Pan Xu, Weitong Zhang, Difan Zou, Graham Casey Gibson, Daniel Sheldon, Ajitesh Srivastava, Aniruddha Adiga, Benjamin Hurt, Gursharn Kaur, Bryan Lewis, Madhav V. Marathe, Akhil Sai Peddireddy, Przemyslaw J. Porebski, Srinivasan Venkatramanan, Lijing Wang, Pragati V. Prasad, Jo W. Walker, Alexander E. Webber, Rachel B. Slayton, Matthew Biggerstaff, Nicholas G. Reich, Michael A. Johansson
2024 J jnl
NuTime: Numerically Multi-Scaled Embedding for Large- Scale Time-Series Pretraining.
Trans. Mach. Learn. Res.
Chenguo Lin, Xumeng Wen, Wei Cao, Congrui Huang, Jiang Bian, Stephen Lin, Zhirong Wu
2023 J jnl
NuTime: Numerically Multi-Scaled Embedding for Large-Scale Time Series Pretraining.
CoRR
Chenguo Lin, Xumeng Wen, Wei Cao, Congrui Huang, Jiang Bian, Stephen Lin, Zhirong Wu
2023 A* conf
UADB: Unsupervised Anomaly Detection Booster.
ICDE
Hangting Ye, Zhining Liu, Xinyi Shen, Wei Cao, Shun Zheng, Xiaofan Gui, Huishuai Zhang, Yi Chang, Jiang Bian
2023 J jnl
UADB: Unsupervised Anomaly Detection Booster.
CoRR
Hangting Ye, Zhining Liu, Xinyi Shen, Wei Cao, Shun Zheng, Xiaofan Gui, Huishuai Zhang, Yi Chang, Jiang Bian
2023 A* conf
Warpformer: A Multi-scale Modeling Approach for Irregular Clinical Time Series.
KDD
Jiawen Zhang, Shun Zheng, Wei Cao, Jiang Bian, Jia Li
2023 J jnl
Warpformer: A Multi-scale Modeling Approach for Irregular Clinical Time Series.
CoRR
Jiawen Zhang, Shun Zheng, Wei Cao, Jiang Bian, Jia Li
2023 A* conf
Web-based Long-term Spine Treatment Outcome Forecasting.
KDD
Hangting Ye, Zhining Liu, Wei Cao, Amir M. Amiri, Jiang Bian, Yi Chang, Jon D. Lurie, Jim Weinstein, Tie-Yan Liu
2022 A conf
A Graph-based Spatiotemporal Model for Energy Markets.
CIKM
Swati Sharma, Srinivasan Iyengar, Shun Zheng, Kshitij Kapoor, Wei Cao, Jiang Bian, Shivkumar Kalyanaraman, John Lemmon
2022 — conf
A continuous glucose monitoring measurements forecasting approach via sporadic blood glucose monitoring.
BIBM
Yuting Xing, Hangting Ye, Xiaoyu Zhang, Wei Cao, Shun Zheng, Jiang Bian, Yike Guo
2022 A* conf
DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting.
ICLR
Wei Fan, Shun Zheng, Xiaohan Yi, Wei Cao, Yanjie Fu, Jiang Bian, Tie-Yan Liu
2022 J jnl
DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting.
CoRR
Wei Fan, Shun Zheng, Xiaohan Yi, Wei Cao, Yanjie Fu, Jiang Bian, Tie-Yan Liu
2022 A* conf
Efficient and Effective Multi-task Grouping via Meta Learning on Task Combinations.
NeurIPS
Xiaozhuang Song, Shun Zheng, Wei Cao, James J. Q. Yu, Jiang Bian
2022 J jnl
Less Is More: Fast Multivariate Time Series Forecasting with Light Sampling-oriented MLP Structures.
CoRR
Tianping Zhang, Yizhuo Zhang, Wei Cao, Jiang Bian, Xiaohan Yi, Shun Zheng, Jian Li
2022 J jnl
OpenFE: Automated Feature Generation beyond Expert-level Performance.
CoRR
Tianping Zhang, Zheyu Zhang, Zhiyuan Fan, Haoyan Luo, Fengyuan Liu, Wei Cao, Jian Li
2021 A conf
HierST: A Unified Hierarchical Spatial-temporal Framework for COVID-19 Trend Forecasting.
CIKM
Shun Zheng, Zhifeng Gao, Wei Cao, Jiang Bian, Tie-Yan Liu
2021 J jnl
IMBENS: Ensemble Class-imbalanced Learning in Python.
CoRR
Zhining Liu, Zhepei Wei, Erxin Yu, Qiang Huang, Kai Guo, Boyang Yu, Zhaonian Cai, Hangting Ye, Wei Cao, Jiang Bian, Pengfei Wei, Jing Jiang, Yi Chang
2021 — conf
Revisiting the Evaluation of End-to-end Event Extraction.
ACL/IJCNLP (Findings)
Shun Zheng, Wei Cao, Wei Xu, Jiang Bian
2021 J jnl
Towards Inter-class and Intra-class Imbalance in Class-imbalanced Learning.
CoRR
Zhining Liu, Pengfei Wei, Zhepei Wei, Boyang Yu, Jing Jiang, Wei Cao, Jiang Bian, Yi Chang
2020 A* conf
MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler.
NeurIPS
Zhining Liu, Pengfei Wei, Jing Jiang, Wei Cao, Jiang Bian, Yi Chang
2020 J jnl
MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler.
CoRR
Zhining Liu, Pengfei Wei, Jing Jiang, Wei Cao, Jiang Bian, Yi Chang
2020 A* conf
Self-paced Ensemble for Highly Imbalanced Massive Data Classification.
ICDE
Zhining Liu, Wei Cao, Zhifeng Gao, Jiang Bian, Hechang Chen, Yi Chang, Tie-Yan Liu
2019 — conf
Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction.
EMNLP/IJCNLP (1)
Shun Zheng, Wei Cao, Wei Xu, Jiang Bian
2019 J jnl
Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction.
CoRR
Shun Zheng, Wei Cao, Wei Xu, Jiang Bian
2019 J jnl
LMVP: Video Predictor with Leaked Motion Information.
CoRR
Dong Wang, Yitong Li, Wei Cao, Liqun Chen, Qi Wei, Lawrence Carin
2019 J jnl
Self-paced Ensemble for Highly Imbalanced Massive Data Classification.
CoRR
Zhining Liu, Wei Cao, Zhifeng Gao, Jiang Bian, Hechang Chen, Yi Chang, Tie-Yan Liu
2018 A* conf
BRITS: Bidirectional Recurrent Imputation for Time Series.
NeurIPS
Wei Cao, Dong Wang, Jian Li, Hao Zhou, Lei Li, Yitan Li
2018 J jnl
BRITS: Bidirectional Recurrent Imputation for Time Series.
CoRR
Wei Cao, Dong Wang, Jian Li, Hao Zhou, Lei Li, Yitan Li
2018 A* conf
When Will You Arrive? Estimating Travel Time Based on Deep Neural Networks.
AAAI
Dong Wang, Junbo Zhang, Wei Cao, Jian Li, Yu Zheng
2017 A* conf
DeepSD: Supply-Demand Prediction for Online Car-Hailing Services Using Deep Neural Networks.
ICDE
Dong Wang, Wei Cao, Jian Li, Jieping Ye
2017 A conf
k-Regret Minimizing Set: Efficient Algorithms and Hardness.
ICDT
Wei Cao, Jian Li, Haitao Wang, Kangning Wang, Ruosong Wang, Raymond Chi-Wing Wong, Wei Zhan
2016 A* conf
Automatic user identification method across heterogeneous mobility data sources.
ICDE
Wei Cao, Zhengwei Wu, Dong Wang, Jian Li, Haishan Wu
2016 — conf
ETCPS: An Effective and Scalable Traffic Condition Prediction System.
DASFAA (2)
Dong Wang, Wei Cao, Mengwen Xu, Jian Li
2015 J jnl
Balanced splitting on weighted intervals.
Oper. Res. Lett.
Wei Cao, Jian Li, Shimin Li, Haitao Wang
2015 — conf
On Top-k Selection in Multi-Armed Bandits and Hidden Bipartite Graphs.
NIPS
Wei Cao, Jian Li, Yufei Tao, Zhize Li