About
I am a PhD student (2024 - present) at University of Notre Dame in the Department of Computer Science and Engineering, supervised by Prof. Fanxin Kong. I also work closely with Prof. Insup Lee and Prof. Oleg Sokolsky. I received my B.E. in Software Engineering from Shandong University in 2019 and my M.S. in Computer Technology from Lanzhou University in 2023.
My research interests include cyber-physical systems, robotics, reinforcement learning, safe learning, and LLM post-training for safety alignment.
News
- [Feb 2026] Our paper “SafeGen-LLM: Enhancing Safety Generalization in Task Planning for Robotic Systems” is now available on arXiv! (First author)
- [Feb 2026] Our paper “Vulnerability Analysis of Safe Reinforcement Learning via Inverse Constrained Reinforcement Learning” is now available on arXiv! (First author)
- [Jan 2026] Our paper “SafeNet: A Neural-Symbolic Network for Safe Planning in Robotic Systems using Formal Method-Guided LLM Fine-Tuning” has been accepted to ICRA 2026! (Second author)
- [Jan 2026] Our paper “Vulnerability Exploration of Safe Reinforcement Learning in Cyber-Physical Systems via STL Mining” has been accepted to ICCPS 2026! (First author)
- [Apr 2025] I went to Orlando for the SPIE Defense + Commercial Sensing conference.
- [Jun 2024] I joined the University of Notre Dame as a PhD student supervised by Prof. Fanxin Kong.
Featured Project
OpenClaude
Build your own agentic coding assistant using open-source models. Core architectural patterns extracted from Claude Code, re-implemented in ~500 lines of Python, runnable with Ollama, vLLM, or any OpenAI-compatible API.
Project Videos
LLM-based Blocksworld Planning on myCobot 280pi
Demonstration of LLM-based task planning for block manipulation using the myCobot 280pi robotic arm.