About me

Hi, thanks for visiting my homepage!

I'm a Year 4 PhD student in the Department of Computer Science and Engineering at The Chinese University of Hong Kong (CUHK). I’m blessed to be under co-supervision of Farzan Farnia and Ho-fung Leung. I obtained a Bachelor’s degree in Statistics from Sun Yat-sen University (SYSU) in Guangzhou, China.

My research focuses on decision-making under uncertainty. I have been working on provably efficient reinforcement learning (RL), addressing learning scenarios including reward-inference from feedback, risk-sensitive decision-making, and offline RL. My recent work explores online learning-based approaches to the evaluation and selection of generative AI models.

Research Interests

  • Web development icon

    Provably efficient RL

    How optimal behaviors be sample-efficiently learned?

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    Generative AI

    How can RL and online learning assist the training, generation, and evaluation of generative models?

Bio

My full CV can be downloaded here.

Education

  1. The Chinese University of Hong Kong (CUHK)

    2021 — Present

    - Doctor of Philosophy in Computer Science and Engineering

    - Supervisors: Farzan Farnia, Ho-fung Leung

  2. Sun Yat-sen University (SYSU)

    2017 — 2021

    - Bachelor of Sciences in Statistics

    - Supervisor: Li Xia

Research & Visiting Experience

  1. Guest PhD Student @ DeLTA Lab, DIKU, University of Copenhagen

    Oct 2023 - Jan 2024 (Host: Professor Mohammad Sadegh Talebi)

  2. Visiting PhD Student @ Huawei Noah's Ark Lab

    May — August 2022
  3. Algorithm Engineer @ Timi Studio Group, Tencent

    April — June 2021

Invited Talks

  1. An Information Theoretic Approach to Interaction-Grounded Learning [slides]

    @ Scool Team, Inria, Jan 11, 2024

  2. Provably (More) Efficient Offline RL with Options [slides]

    @ DeLTA Seminar, Oct 12, 2023

Service

  1. Reviewer

    NeurIPS (2024, 2025), ICLR (2025), ICML (2025), AISTATS (2025)

Publications

Contact