Internet of Agents: Weaving a Web of Heterogeneous Agents for Collaborative Intelligence
ICLR 2025 (Spotlight, top 5.1%)
Large Language Models · Reinforcement Learning · Language Agents
Recently, my research has centered on self-evolving and agentic systems: enabling language agents to learn from experience, improve through reinforcement learning, and coordinate reliably across tasks and environments.
I am always open to new collaborations and discussions. If you would like to discuss potential collaborations, feel free to reach out.
I am a Research Associate at NTU College of Computing and Data Science and BREATHE AI Lab. I will start my Ph.D. in Spring 2027, advised by Prof. Wei Lu.
Recently, my research has focused on self-evolving and agentic systems, with an emphasis on how language agents can acquire experience, improve through reinforcement learning, and collaborate robustly across open-ended tasks.
ICLR 2025 (Spotlight, top 5.1%)
EMNLP 2025 Main Conference
NTU College of Computing and Data Science / BREATHE AI Lab
Tsinghua University
Tsinghua University
ModelBest Inc. (面壁智能)