๐Ÿ‘‹ About Me

I am Zexin Feng, a Ph.D. student at the Mobility Transformation Lab, The University of Hong Kong (HKU), Hong Kong SAR, China, supervised by Prof. Xintao Yan. My research focuses on Physical AI and Machine Learning, with interests in robot manipulation, generative simulation, autonomous driving, and medical imaging.

Previously, I earned my B.Eng. in Computer Science from the Southern University of Science and Technology (SUSTech), Shenzhen, China (expected June 2025). During my undergraduate studies, I was a long-term member of the iMED Intelligent Medical Imaging Lab led by Prof. Jiang Liu, and I also worked with Prof. Xiaohui Xie at the University of California, Irvine on AI for healthcare.

If you are interested in my work, please contact me at zexinfeng@connect.hku.hk or mark4551124015@outlook.com.

๐Ÿ“– Educations

  • Southern University of Science and Technology (SUSTech)
    • B.Eng. in Computer Science*, 09/2022 - 06/2025
  • The University of Hong Kong (HKU)
    • PhD Student, 09/2025 - Present

๐Ÿ”ฌ Research

Physical AI & Robot Manipulation

Copper-Policy teaser

Copper-Policy: Focus on the Representation for Robust Robot Manipulation

Zexin Feng, Y. Feng, L. Xiao, S. Su, K. Zheng, C. Xu, M. Shi, S. Feng, X. Yan

arXiv ยท Project Page ยท GitHub

  • A compact world representation learned jointly with the policy for robust robot manipulation.

Generative Simulation & Autonomous Driving

PIH: Physical-intrinsic Harmonizer for Editable Neural Reconstruction Lingyu Xiao, Haowei Sun, Lingxuan Zhou, Jiawei Wang, Zexin Feng, Jun Gao, Xintao Yan. Preprint, 2026.

Project Page

  • A physical-intrinsic harmonization method for temporally consistent neural-rendered driving scenes, with illumination control and virtual asset insertion.

Long-term Traffic Simulation via Structured Autoregressive Modeling Lingyu Xiao, Zexin Feng, Xintao Yan. ECCV 2026.

arXiv ยท Project Page ยท GitHub

  • A structured autoregressive simulator for long-term traffic rollouts with joint motion and agent generation, together with retrieval-based traffic evaluation.

Medical Imaging

ICASSP 2024
ICASSP 2024

Flattening Singular Values of Factorized Convolution for Medical Images

Zexin Feng, N. Zeng, J. Fang, X. Wang, X. Lu, H. Meng, J. Liu

Conference

  • Proposed SFConv for efficient CNN optimization, achieving 98% parameter compression while maintaining performance on public datasets.

๐Ÿ”ฅ News

  • 2025.09: ย ๐ŸŽ‰๐ŸŽ‰ Started my PhD journey at Mobility Transformation Lab @ HKU, Hong Kong SAR, China๐Ÿ‡จ๐Ÿ‡ณ.
  • 2025.07: ย ๐ŸŽ‰๐ŸŽ‰ Received Best Undergraduate Thesis Award.
  • 2025.07: ย ๐ŸŽ‰๐ŸŽ‰ Received Best Graduate Student Award.
  • 2024.11: ย ๐ŸŽ‰๐ŸŽ‰ Received the BYD Scholarship.
  • 2024.11: ย ๐ŸŽ‰๐ŸŽ‰ Received the China National Scholarship, awarded to the top 0.2% of students.
  • 2024.10: ย ๐ŸŽ‰๐ŸŽ‰ Received the School Motto Scholarship โ€œTruthโ€ Special Award.
  • 2024.09: ย ๐ŸŽ‰ Joined Xiaohui Xieโ€™s Lab, UC Irvine, USA๐Ÿ‡บ๐Ÿ‡ธ.
  • 2024.04: ย ๐ŸŽ‰ Published a paper on Flattening Singular Values of Factorized Convolution for Medical Images at ICASSP 2024.
  • 2023.09: ย ๐ŸŽ‰ Visited NUS School of Computing, Singapore๐Ÿ‡ธ๐Ÿ‡ฌ.
  • 2022.09: ย ๐ŸŽ‰ Joined iMED Lab, Shenzhen, China๐Ÿ‡จ๐Ÿ‡ณ.

๐ŸŽ– Honors and Awards

  • Best Undergraduate Thesis Award (2025), for outstanding research performance.
  • China National Scholarship (2024), Top 0.2%.
  • School Motto Scholarship โ€œTruthโ€ Special Award (2024), awarded to students with outstanding academic performance.
  • Outstanding Student (2023), Top 20%.
  • Best Progress Award (2022), recognizing significant academic improvement.

๐Ÿ› ๏ธ PROJECTS

๐Ÿง‘โ€๐Ÿซ Teaching

  • Student Lecturer for C Programming Assisting Course
    SUSTech, CSE, Spring 2024
    Shenzhen, China

  • Student Assistant for CS305 Computer Networks
    SUSTech, CSE, Fall 2023
    Shenzhen, China

๐Ÿ’ป Experience

  • Mobility Transformation Lab, The University of Hong Kong, Hong Kong SAR, China
    PhD Student, supervised by Prof. Xintao Yan. (09/2025-Present)

  • iMED Intelligent Medical Imaging, Shenzhen, China
    Undergraduate Research Assistant, supervised by Prof. Jimmy Liu (05/2023-09/2023)

  • Xiaohui Xieโ€™s Lab, UC Irvine, USA
    Undergraduate Research Assistant, supervised by Prof. Xiaohui Xie (09/2024-Present)