Ziniu Li

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Ph.D. student,
School of Data Science,
The Chinese University of Hong Kong, Shenzhen

Email: ziniuli@link.cuhk.edu.cn

[Twitter] [Zhihu]

About me

I am a Ph.D. student at The Chinese University of Hong Kong, Shenzhen (CUHKSZ), advised by Prof. Zhi-Quan (Tom) Luo.

My research interests include reinforcement learning theory, algorithms, and applications.

I have worked/interned at Tencent, Nanjing University, Cardinal Operations, etc.

My curriculum vitae can be downloaded from here.

Selected Work

*: indicating equal contribution or alphabetic ordering.

  • Rethinking ValueDice: Does It Really Improve Performance?
    Ziniu Li* , Tian Xu*, Yang Yu, Zhi-Quan Luo
    In Proceedings of the 10th International Conference on Learning Representations (ICLR) (Blog Track), 2022
    (This work presents the first reduction of offline AIL to BC, showing that AIL is no better than BC in the offline setting)



NeurIPS’2022 (Top Reviewer), ICML’2022 (Outstanding Reviewer), ICLR’2022 (Highlighted Reviewer), DAI’2020.

Teaching Assistant

  • CSC4120: Design and Analysis of Algorithms. 2022 Fall, CUHKSZ.

  • DDA6111: Discrete Optimization. 2022 Spring, CUHKSZ.

  • CSC4120: Design and Analysis of Algorithms. 2021 Fall, CUHKSZ.

  • FTE4560: Basic Machine Learning. 2021 Spring, CUHKSZ.

  • MAT3007: Introduction to Optimization. 2020 Fall, CUHKSZ.


  • Machine Learning (Summer Course for Senior High School Students) @ X ACADEMY 2022 TechX.


  • [2021-04] Best oral presentation award at the first doctoral and postdoctoral forum of Shenzhen Research Institute of Big Data.