Local Success Does Not Compose: Benchmarking Large Language Models for Compositional Formal Verification
ICLR, 2026
I am a Ph.D. student at Nanyang Technological University (NTU), advised by Prof. Chau Yuen. My research focuses on the intersection of Large Language Models (LLMs) and engineering automation, organized into three pillars:
Previously at MSRA, MEGVII, and Gausium Robotics, I led perception projects from prototype to deployment across SLAM, VIO, and radio/vision stacks.
I received my M.E. from Peking University and my B.E. from Northeastern University, China.
Open to Collaboration: If you are seeking academic collaboration 🤝 on LLMs, agents, or engineering applications, please email me at xin019@e.ntu.edu.sg.
(* indicates equal contribution. For a full list, please see my Google Scholar ⤻.)
Local Success Does Not Compose: Benchmarking Large Language Models for Compositional Formal Verification
ICLR, 2026
WirelessMathLM: Teaching Mathematical Reasoning for LLMs in Wireless Communications with Reinforcement Learning
arXiv, 2025
Beyond Correctness: Evaluating Subjective Writing Preferences Across Cultures
arXiv, 2025
COIG-Writer: A High-Quality Dataset for Chinese Creative Writing with Thought Processes
arXiv, 2025
LACP: LLM Agent Communication Protocol Requires Urgent Standardization
AI4NextG @ NeurIPS, 2025
Re:Form-Reducing Human Priors in Scalable Formal Software Verification with RL in LLMs
Technical Report, 2025
WirelessMathBench: A Mathematical Modeling Benchmark for LLMs in Wireless Communications
Findings of ACL, 2025
Onboard Terrain Classification via Stacked Intelligent Metasurface-Diffractive Deep Neural Networks from SAR Level-0 Raw Data
ML4RS @ ICLR, 2025
TransPathNet: A Two-Stage Framework for Indoor Radio Map Prediction
ICASSP, 2025
Co-Planar Parametrization for Stereo-SLAM and Visual-Inertial Odometry
IEEE Robotics and Automation Letters (RA-L), 2020
Leveraging Planar Regularities for Point-Line Visual-Inertial Odometry
IROS, 2020