I am a first-year Master’s student in Computer Science at EPFL.

Previously, I received my undergraduate degree from the Department of Automation at Shanghai Jiao Tong University, where I was advised by Prof. Xiaolin Huang at the Institute of Image Processing and Pattern Recognition.

During my undergraduate studies, I conducted summer research at UCLA under the supervision of Prof. Baharan Mirzasoleiman.

Currently, I am advised by Prof. Alexandre Alahi and postdoctoral researcher Wuyang Li at EPFL, where I work on video generation.

My research focuses on generative modeling, with a particular emphasis on video generation and efficient, scalable generative methods for real-world applications.

You can find my CV here: Jinghao Zheng’s Curriculum Vitae.

📖 Education

2025.08 - now, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland M.S. in Computer Science.

2021.09 - 2025.06, Shanghai Jiao Tong University (SJTU), Shanghai, China
B.E. in Automation(Computer Science and Engineering).

📝 Publication

• Do We Need All the Synthetic Data? Targeted Image Augmentation via Diffusion Models, Dang Nguyen†, Jiping Li†, Jinghao Zheng†, and Baharan Mirzasoleiman. ICLR 2026 (Accepted as a poster)

• Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement, Z. Huang, X. Cheng, J. Zheng, H. Wang, Z. He, T. Li, and X. Huang. NeurIPS 2024 (Accepted as a spotlight)

🎖 Honors & Awards

• Outstanding Graduate of SJTU, 2025
• 3rd Prize of TI Cup National Undergraduate Electronic Design Contest Shanghai area, 2023
• 3rd Prize of Academic Scholarship of Shanghai Jiao Tong University, 2022 & 2023 & 2024
• 2nd Prize of Chinese Physics Olympiad (Zhejiang Area), 2019

More about me

I enjoy playing basketball and tennis, and watching TV shows.
I am also a fan of the Golden State Warriors.

Feel free to reach out if you share similar interests.