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 Email: baihm@lamda.nju.edu.cn

Supervisor

Professor Lijun Zhang .

Biography

• Sep 2025 - Now : Admitted to study for a Ph.D. degree in School of Artificial Intelligence, Nanjing University.

• Sep 2023 - Jun 2025 : Admitted to study for a M.Sc. degree in Nanjing University without entrance examination.

• Sep 2019 - Jun 2023 : Receive my B.Sc. degree in School of Mathematics in Southeast University.

Research Interests

My research interests include Robust Machine Learning and Large Language Models (LLMs).

Preprints

1. Group Distributionally Robust Optimization with Flexible Sample Queries [arXiv]
   H. Bai, D. Yu, S. Li, H. Luo, and L. Zhang
   

Publication

1. Stochastic Approximation Approaches to Group Distributionally Robust Optimization and Beyond [PDF, arXiv]
   L. Zhang, H. Bai, P. Zhao, and Z.-H. Zhou
   IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), in press, 2026.
2. 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.
3. 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

• Research on Distributed Robust Optimization Algorithms.
  Postgraduate Research & Practice Innovation Program of Jiangsu Province (NO.26CXJH0329)

Awards & Honors

• Excellent Student Cadre of Nanjing University (Pacemaker), 2025

• Suzhou High-Tech Scholarship, 2024 (Awarded to 10 Graduate Students University-Wide Each Year)

• Excellent Student of Nanjing University, 2024

• National Scholarship, 2020

Teaching Assistant

• Introduction to Optimization Methods (With Prof. Lijun Zhang; For Undergraduate Students, Fall, 2025)

• Computational Methods (With Prof. Lijun Zhang; For Undergraduate Students, Spring, 2025)

Correspondence

• Email: baihm@lamda.nju.edu.cn

• Address: National Key Laboratory for Novel Software Technology, Nanjing University, Xianlin Campus, 163 Xianlin Avenue, Qixia District, Nanjing 210023, China
  (南京市栖霞区仙林大道163号, 南京大学仙林校区, 软件新技术国家重点实验室, 210023.)