Published multiple papers, including: 'Synergistic Multi-Agent Framework with Trajectory Learning for Knowledge-Intensive Tasks' (AAAI 2025), 'Benchmark Self-Evolving: A Multi-Agent Framework for Dynamic LLM Evaluation' (COLING 2025), 'Symbolic Working Memory Enhances Language Models for Complex Rule Application' (EMNLP 2024), etc.
Research Experience
During his Ph.D., he also spent time at the INK Lab at USC, advised by Xiang Ren.
Education
Received a Ph.D. from Fudan University in October 2023, supervised by Zhongyu Wei. Bachelor's degree in Software Engineering from Fudan University.
Background
Currently a Postdoctoral Research Associate at the INK Lab, University of Southern California (USC), with research interests in Natural Language Processing and Machine Reasoning, focusing on the Robustness of LLMs Reasoning, Safety, and Alignment.
Miscellany
Information about personal interests and hobbies is not provided.