About me

I am a Ph.D. student in Information and Communication Engineering at Tsinghua University, advised by Prof. Yu Wang, Dr. Chao Yu, and Prof. Xiao-Ping Zhang. Previously, I received my master's and bachelor's degrees from Beihang University, where I was advised by Prof. Yue Deng during my master's studies.

My research focuses on LLM agents and reinforcement learning. I study how agents can improve themselves through interaction and feedback. My recent work explores action-level credit assignment, process rewards, and multi-agent systems. My earlier research spans world model learning, scientific equation discovery, and privileged feature distillation.

Building agents that continuously improve themselves through interaction.

Selected publications

Full list on Google Scholar

Equal contribution. My name is shown in bold.

Work experience

Infinigence AI

Algorithm Engineer, Algorithm Development Group

Worked on LLM post-training and reinforcement learning for multi-agent games, leading to MARSHAL (ICLR 2026).

ByteDance

Algorithm Engineer, TikTok

Worked on LLM coding evaluation and privileged feature distillation for conversion prediction. The distillation work was published at KDD 2025 and deployed in production.

Education

Tsinghua University

Ph.D. in Information and Communication Engineering

Advisors: Prof. Yu Wang, Dr. Chao Yu, and Prof. Xiao-Ping Zhang

Beihang University

M.Eng. in Control Science and Engineering

Advisor: Prof. Yue Deng

Beihang University

B.Eng. in Aircraft Control and Information Engineering

Honors & awards

  • 2025Future Scholar Scholarship, Tsinghua University
  • 2020First Prize, 30th Feng Ru Cup Academic Science and Technology Competition, Beihang University (first author)
  • 2018Second Prize, 28th Feng Ru Cup Innovation Competition, Beihang University (first author)