HiπŸ‘‹, I'm Chenyu Zhu, a 27 fall undergraduate at MAIR Lab of HUST and an incoming master's student at USTC Ren Lab of AGI Institute, USTC. I work on pushing the limits of machine intelligence and exploring simple paths toward AGI. My research spans Foundation Model Training, World Models, and AI Agents. Feel free to explore my publications, blog, GitHub. Collaborations & discussions are welcome via email.
Chenyu Zhu on GitHub

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.

Chael-Chael on GitHubView profile

Experiences

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

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

πŸŽ‰πŸŽ‰ TMPO, has been accepted to NeurIPS 2026! Huge thanks to Kuaishou Technology for the computing support!

πŸŽ‡πŸŽ‡ I2E has been accepted to ACL 2026 main!

Current work on a new framework for Diffusion RL under progress!!!

πŸŽ‰πŸŽ‰ I2E, my first collaborative work with fellows from Tsinghua University and Shanghai AI Lab, has been submitted to ACL 2026!

Publications

Open Source Projects

Blogs

Profile and website views