๐คต๐ป About Me
I am a Ph.D. student in Computer Science at Nanjing University and a member of the LAMDA Group in the School of Artificial Intelligence, advised by Professor Yu-Feng Li. Previously, I worked closely with Professor Lei Feng at Chongqing University. My research focuses on enabling large language models (LLMs) to reason robustly and solve complex tasks, particularly in practical domains such as mathematics, law, and spatial reasoning. Recently, I have been exploring frontier approaches, including agentic reinforcement learning (Agentic RL), on-policy distillation, and self-evolution, to enhance the autonomous learning, continual improvement, and reliable reasoning capabilities of LLMs.
๐ Education
๐ผ Experience
๐ News
- [2026/08] We released NeSy-Spatial, a self-evolving neuro-symbolic framework for spatial reasoning.
- [2026/06] NeSy-Route is accepted by ECCV 2026.
- [2026/06] I started my first talent-program internship in the TGT (Tech Genius Team) Program at JD Retail.
- [2026/05] On the Learnability of Test-Time Adaptation is accepted by ICML 2026.
- [2026/04] TabularMath is accepted by ACL 2026.
- [2026/04] We released the LAST paper, a tool-augmented framework for spatial reasoning.
- [2025/08] VCSearch is accepted by EMNLP 2025 (Oral).
- [2025/06] We released the PMC benchmark of VCSearch.
- [2025/05] We released TabularMath, a reasoning-intensive table QA benchmark.
- [2024/12] One paper is accepted by Frontiers of Computer Science.
- [2024/02] CroSel is accepted by CVPR 2024 (Oral).