- Advised by Prof. Shaoqing Ren and Prof. Xiaobo Xia at the Artificial General Intelligence Institute.
- Researching RL, Agents and World Models.

Chenyu Zhu
Undergraduate Student, HUSTIncoming Master's Student, USTC
I explore continual learning and recursive self-improvement in foundation models and AI agents, spanning post-training, diffusion models, and adaptive agentic systems.
I am seeking research collaborations and internship opportunities in Agentic AI and Foundation model training. If you have a collaboration or internship opportunity, feel free to email me.
Experiences
Research Interests
01Continual Learning & RSI
Systems that learn from ongoing experience and recursively improve their own capabilities.
02Foundation Model Post-Training
Improving reasoning, alignment, and adaptability beyond pre-training.
03Diffusion Models & AI Agents
Combining generative models with agents that perceive, reason, and act.
News
ππ TMPO, has been accepted to NeurIPS 2026! Huge thanks to Kuaishou Technology for the computing support!
ππ I2E has been accepted to ACL 2026 main!
Current work on a new framework for Diffusion RL under progress!!!
ππ I2E, my first collaborative work with fellows from Tsinghua University and Shanghai AI Lab, has been submitted to ACL 2026!
Publications
2026.05TMPO: Trajectory Matching Policy Optimization for Diverse and Efficient Diffusion AlignmentJiaming Li*, Chenyu Zhu*, Nanxi Yi, Youjun Bao, Li Sun, Quanying Lv, Xiang Fang, Daizong Liu, Jianjun Li, Kun He, Bowen Zhou, Zhiyuan MaNeurIPS 2026arXiv:2605.10983 / 2026
2026I2E: From Image Pixels to Actionable Interactive Environments for Text-Guided Image EditingJinghan Yu*, Junhao Xiao*, Chenyu Zhu, Jiaming Li, Jia Li, HanMing Deng, Xirui Wang, Guoli Jia, Jianjun Li, Zhiyuan Ma, Xiang Bai, Bowen ZhouACL 2026 mainarXiv:2601.03741 / 2026
MAIR Lab


