๐ 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.
๐ 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
๐ฌ Research
Physical AI & Robot Manipulation

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.
- 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

Flattening Singular Values of Factorized Convolution for Medical Images
Zexin Feng, N. Zeng, J. Fang, X. Wang, X. Lu, H. Meng, J. Liu
- Proposed SFConv for efficient CNN optimization, achieving 98% parameter compression while maintaining performance on public datasets.
๐ฅ News
- 2025.09: ย ๐๐ Started my PhD journey at Mobility Transformation Lab @ HKU, Hong Kong SAR, China๐จ๐ณ.
- 2025.07: ย ๐๐ Received Best Undergraduate Thesis Award.
- 2025.07: ย ๐๐ Received Best Graduate Student Award.
- 2024.11: ย ๐๐ Received the BYD Scholarship.
- 2024.11: ย ๐๐ Received the China National Scholarship, awarded to the top 0.2% of students.
- 2024.10: ย ๐๐ Received the School Motto Scholarship โTruthโ Special Award.
- 2024.09: ย ๐ Joined Xiaohui Xieโs Lab, UC Irvine, USA๐บ๐ธ.
- 2024.04: ย ๐ Published a paper on Flattening Singular Values of Factorized Convolution for Medical Images at ICASSP 2024.
- 2023.09: ย ๐ Visited NUS School of Computing, Singapore๐ธ๐ฌ.
- 2022.09: ย ๐ Joined iMED Lab, Shenzhen, China๐จ๐ณ.
๐ Honors and Awards
- Best Undergraduate Thesis Award (2025), for outstanding research performance.
- China National Scholarship (2024), Top 0.2%.
- School Motto Scholarship โTruthโ Special Award (2024), awarded to students with outstanding academic performance.
- Outstanding Student (2023), Top 20%.
- Best Progress Award (2022), recognizing significant academic improvement.
๐ ๏ธ PROJECTS
-
CS205 Cpp Program DesignLibtensor Designed with C/C++ and CUDA, Zexin Feng, Yupeng Su, Xiaoqun Liu. -
CS301 Embedded SystemTouchscreen Framework STM32F103, Zexin Feng, Zongqi Yang, Chunhui Xu, Haoxian Liu. -
CS202 Computer Organization5-Stage Pipelined MIPS CPU, Zexin Feng, Beiye Gou, Xiaoqun Liu. -
CS102 Java ProgrammingJavaFX Game Engine - Reversi Game, Zexin Feng, Rui Ji
๐งโ๐ซ 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
๐ป 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 Xieโs Lab, UC Irvine, USA
Undergraduate Research Assistant, supervised by Prof. Xiaohui Xie (09/2024-Present)