Haomin Bai @ LAMDA, NJU-AI

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白昊民
Haomin Bai
Ph.D. Student, LAMDA Group
School of Artificial Intelligence
National Key Laboratory for Novel Software Technology
Nanjing University, Nanjing 210023, China

Advisor: Prof. Lijun Zhang
Email: baihm@lamda.nju.edu.cn   |   Google Scholar


Biography

Research Interests

My research interests include Robust Machine Learning and Large Language Models (LLMs).
Feel free to contact me if you are interested in my research.

Preprints

  1. Communication-Efficient Agnostic Federated Learning via Faster Convergence and Compression [arXiv]
    H. Bai, J. Sun, S. Yang, B. Xue, and L. Zhang

Publication

  1. Group Distributionally Robust Optimization with Flexible Sample Queries [arXiv]
    H. Bai, D. Yu, S. Li, H. Luo, and L. Zhang
    In Advances in Neural Information Processing Systems 39 (NeurIPS 2026), to appear, 2026.
  2. Stochastic Approximation Approaches to Group Distributionally Robust Optimization and Beyond [PDF, Bibtex, arXiv]
    L. Zhang, H. Bai, P. Zhao, and Z.-H. Zhou
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 48(10), 12880-12891, 2026.
  3. Efficient Stochastic Approximation of Minimax Excess Risk Optimization [PDF, Bibtex, arXiv]
    L. Zhang, H. Bai , W.-W. Tu, P. Yang, and Y. Hu
    In Proceedings of the 41st International Conference on Machine Learning (ICML 2024), 2024.
  4. Distributed Inertial Online Game Algorithm for Tracking Generalized Nash Equilibria [Link]
    H. Bai , W. Xu, S. Yang, and J. Cao
    Chaos: An Interdisciplinary Journal of Nonlinear Science, 33(10), 103115, 2023.

Grant

Awards & Honors

Teaching Assistant

Correspondence