Biography

I am a Professor at the School of Computing and Artificial Intelligence, Jiangxi University of Finance and Economics. Before joining JXUFE, I was a Research Scientist at Nanyang Technological University. I received my Ph.D. in Computer Science from City University of Hong Kong.

My research interests include computer vision, foundation models, world models, and green AI, with particular emphasis on visual quality assessment and efficient intelligent systems.

Research Interests

  • Computer Vision and Visual Quality Assessment
  • Foundation Models and World Models
  • Efficient Learning and Green AI

Openings

I am looking for motivated Ph.D. and Master's students, as well as research interns, interested in computer vision, foundation models, world models, and green AI.

Please email zhuhanwei@jxufe.edu.cn with your CV, transcript, and a brief description of your research interests.

Education

  • 2020–2025 Ph.D. in Computer Science
    City University of Hong Kong
    Advisor: Prof. Shiqi Wang
  • 2013–2020 B.E. and M.S.
    Jiangxi University of Finance and Economics
    Advisor: Prof. Yuming Fang

Experience

  • 2026–presentProfessor
    Jiangxi University of Finance and Economics
  • 2025–2026Research Scientist
    Nanyang Technological University
  • 2024Research Visitor
    Nanyang Technological University
  • 2021–2022Research Intern
    Peng Cheng Laboratory

Services

  • Area Chair for ICME 2026
  • Conference reviewer for CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, ACM MM, ICME, and ICIP
  • Journal reviewer for IEEE TPAMI, IEEE TIP, IEEE TMM, IEEE TCSVT, IEEE TNNLS, and ACM CSUR

Awards

  • Champion of Image-to-Video Generation Model Acceleration Challenge, ACM MM, 2025
  • Outstanding Academic Performance Award for Research Degree Students, CityUHK, 2024
  • Champion of AI in RTC Super-Resolution Algorithm Challenge, 2020
  • National Scholarship, JUFE, 2017–2018

Teaching

  • CS4186 Computer Vision and Image Processing — Semester B, 2023/24 and 2020/21
  • CS4487 Machine Learning — Semester A, 2021/22–2023/24 (Lead TA in 2022/23 and 2023/24)
  • CS4386 AI Game Programming — Semester B, 2022/23