About Me
I am an incoming Ph.D. student in Computer Science. I graduated from the Knowledge Engineering Group (KEG) at Tsinghua University in 2025, where I was fortunate to be advised by Prof. Juanzi Li, Prof. Lei Hou and Prof. Xiaozhi Wang. Currently, I am a research assistant at the PILLAR Lab at Peking University, working with Prof. Liangming Pan on understanding the mechanisms of large language models.
My long-term goal is to develop a scientific understanding of intelligent systems and leverage such understanding to build more capable, trustworthy, and interpretable AI. My current research interests include:
- Mechanistic Interpretability
- Reverse-engineering neural networks to identify interpretable computational structures. Understanding how complex capabilities emerge from model parameters and representations.
- Large Language Model Reasoning
- Studying the internal dynamics and representations of reasoning processes. Exploring the computational foundations of reasoning abilities in LLMs.
- Data Attribution
- Understanding how training data and optimization shape model behaviors.
News
2026/05
Paper Our paper Mechanistic Data Attribution was accepted by ICML 2026 and selected as Oral Presentation (Top 0.7%).
2026/04
2025/09
Selected Publications
2026
2026
Towards a Mechanistic Understanding of Large Reasoning Models: A Survey of Training, Inference, and Failures
2025
Academic Service
Reviewer
- ACL 2026, ICML 2026, NeurIPS 2026