About me

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

My research centers on reinforcement learning (RL) and online learning, particularly their applications to generative artificial intelligence (AI). I am eager to explore new research areas in machine learning and generative AI, with the hope of contributing to the understanding and advancement of state-of-the-art learning algorithms.

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

Academic Visits & Internships

  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), ICLR (2025), AISTATS (2025)

Publications

Contact