I am currently working at Parametrix.AI. I obtained Ph.D. degree from the Department of Computing at the Hong Kong Polytechnic University, supervised by Prof. Wu Xiao-Ming, and my B.E. degree from the College of Computer Science and Technology at Zhejiang University. My main area of interest is machine learning, both theoretical and practical, and build super fast machine learning systems.

Current Interests:

• Machine Learning
  • Learning from Graph-Structured Data
  • Reinforcement Learning
  • Large Language Model
  • Generative Model
• High Performance Computing
  • CUDA Acceleration
  • ML Framework Customization
  • General-Purpose Tensor Programming

News

2023 [Award] Our paper, Using Human Feedback to Fine-tune Diffusion Models without Any Reward Model, was selected as HuggingFace Daily Paper.

2023 [Diploma] I obtained my Ph.D. degree from the Hong Kong Polytechnic University.

2022 [Thesis] My PhD thesis “Learning on graphs with graph convolution” is released.

2022 [Award] I am selected as one of The 2022 AI 2000 Most Influential Scholars by AMiner.

2021 [Award] Our paper “Deeper insights into graph convolutional networks for semi-supervised learning.” was selected as one of the Most Influential AAAI Papers by Paper Digest (2478 Citations as of December, 2023).

2019 [Award] I am awarded Hong Kong Ph.D. Fellowship by the Research Grants Council of Hong Kong. 250 out of 14,000+ candidates, 1.7% acceptance rate.

2017 [Diploma] I obtained my B.S. degree from the College of Computer Science and Technology, Zhejiang University.