Hi, Iβm a first year Ph.D. student in the School of Computer Science, Peking University, fortunately supervised by Prof. Ge Li. My current research interests are mainly focused on LLM Reasoning, Foundation Model Architecture and AI for Software Engineering (AI4SE). My CV can be found here.
π Publications
- [ICLR 2026] Detecting Data Contamination from Reinforcement Learning Post-training for Large Language Models
- [ICASSP 2026] TimeDiff: Leveraging Differential Domain Representations for Long Time Series Forecasting
- [NeurIPS 2025] FANformer: Improving Large Language Models Through Effective Periodicity Modeling
- [NeurIPS 2025] FAN: Fourier Analysis Networks
- [ICSE 2025] ROCODE: Integrating Backtracking Mechanism and Program Analysis in Large Language Models for Code Generation
- [Tiny Paper at ICLR 2024] A Novel Window-Interaction Module Based on W-MSA
π Preprints
- [arXiv:25.10] CodeRL+: Improving Code Generation via Reinforcement with Execution Semantics Alignment
- [arXiv:25.08] RL-PLUS: Countering Capability Boundary Collapse of LLMs in Reinforcement Learning with Hybrid-policy Optimization
π Education
- 2025.09 - Present, Peking University, School of Computer Science, Ph.D. Student
- 2021.09 - 2025.06, University of Electronic Science and Technology of China, School of Mathematics, Bachelorβs Degree
π» Internships
- 2024.11 - 2025.05, Research Intern, Ant Group, Shenzhen, China.