|
Learning to Learn
Hi! I’m Jingxuan Wu (吴竟瑄). I am a master’s student in Statistics & Operations Research at the University of North Carolina at Chapel Hill, and I received my B.S. from The Chinese University of Hong Kong, Shenzhen. Since my undergraduate years at CUHK-Shenzhen, I have been fortunate to be advised by Prof. Guanting Chen at UNC–Chapel Hill and Prof. Xiaocheng Li at Imperial College London, and I continue to collaborate with them during my master's. In 2025, I began working with Prof. Xingrui Yu and Prof. Ivor Tsang at A*STAR. Previously, I also worked with Prof. Jianfeng Mao. I am currently seeking 2026 summer research opportunities and Ph.D. positions for Fall 2027. I’m also open to research collaborations. If you’re interested in my work, please contact me directly via the email listed below. Email: |
Learning to Learn
|
|
My research aims to build controllable generative systems through the integration of diffusion/flow-based models and multi-agent systems: (1) Generative Models—enabling diverse, fine-grained controllable generation under limited supervision through both training-free inference-time control and RL-based training; (2) Agentic Systems—designing multi-agent systems that interact, coordinate, and adapt through feedback. |
|
University of North Carolina at Chapel Hill
2024.1 – Present
Research Assistant & M.S. Student (Statistics & Operations Research) Advised by Prof. Guanting Chen and Prof. Xiaocheng Li. 
Agency for Science, Technology and Research (A*STAR)
2025.6 – Present
Research Assistant Advised by Prof. Xingrui Yu and Prof. Ivor Tsang. 
School of Data Science, CUHK–Shenzhen
2023.11 – 2025.5
Undergraduate Research Assistant Advised by Prof. Jianfeng Mao. |