Zekai Wang

王泽铠, Ph.D. Student at MIT

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I am a Ph.D. student at MIT EECS, advised by Prof. Ashia Wilson. I am affiliated with LIDS. I received my bachelor’s and master’s degrees in computer science from Wuhan University in 2021 and 2024, advised by Prof. Weiwei Liu. I was a visiting student at the University of California, Berkeley from January 2020 to June 2020. I interned at Sea AI Lab, Singapore from September 2022 to June 2023.

My research primarily revolves around machine learning, specifically emphasizing trustworthy machine learning and multi-task learning.

Selected Publications [full list]

(* indicates equal contribution)
  1. JMLR
    Zekai Wang, and Weiwei Liu
    Journal of Machine Learning Research, 2023
  2. ICML’23
    Zekai Wang*, Tianyu Pang*, Chao DuMin LinWeiwei Liu, and Shuicheng Yan
    In International Conference on Machine Learning, 2023
    New state-of-the-art performance on the RobustBench leaderboard
  3. ICML’22Oral
    Zekai Wang, and Weiwei Liu
    In International Conference on Machine Learning, 2022
    Long Presentation (top 2%)
  4. AAAI’24
    DRF: Improving Certified Robustness via Distributional Robustness Framework
    Zekai Wang, Zhengyu Zhou, and Weiwei Liu
    In AAAI Conference on Artificial Intelligence, 2024
  5. NeurIPS’22
    Xinsong Ma, Zekai Wang, and Weiwei Liu
    In Advances in Neural Information Processing Systems, 2022
  6. TKDE
    Task Variance Regularized Multi-Task Learning
    Yuren Mao, Zekai WangWeiwei Liu, Xuemin Lin, and Wenbin Hu
    IEEE Transactions on Knowledge and Data Engineering, 2023
  7. ACL’21
    Yuren Mao, Zekai WangWeiwei Liu, Xuemin Lin, and Wenbin Hu
    In Annual Meeting of the Association for Computational Linguistics, 2021