Dingzhi Yu (余 定 之) M.Sc. student, LAMDA Group Supervisor: Professor Lijun Zhang Major: Computer Science and Technology School of Artificial Intelligence National Key Laboratory for Novel Software Technology Nanjing University, Nanjing 210023, China Google Scholar

About Me

I am a first year graduate student of School of Artificial Intelligence in Nanjing University and a member of LAMDA Group, led by professor Zhi-Hua Zhou. Prior to that, I received my B.E. degree from School of Data Science, Fudan University in June 2024.

My research interests primarily lies in theoretical foundations of modern machine learning algorithms, especially from on optimization perspective. Currently, I'm interested in optimization under generalized smoothness and learning settings with distributional uncertainty.

Publication

1. Efficient Algorithms for Empirical Group Distributionally Robust Optimization and Beyond [PDF, Bibtex]
   Dingzhi Yu, Yunuo Cai, Wei Jiang, and Lijun Zhang
   In Proceedings of the 41st International Conference on Machine Learning (ICML 2024), pages 57384-57414, 2024.
   
   

Preprints

1. Mirror Descent Under Generalized Smoothness [arXiv]
   Dingzhi Yu, Wei Jiang, Yuanyu Wan, and Lijun Zhang
   

Academic Service

• Reviewer: ICLR'2025; BDU@NeurIPS'2024.

Correspondence

• Email: yudz@lamda.nju.edu.cn

• Address: National Key Laboratory for Novel Software Technology, Nanjing University, Xianlin Campus Mailbox 603, 163 Xianlin Avenue, Qixia District, Nanjing 210023, China.