About Me
I am a second-year Ph.D student in the Department of Computer Science at Virginia Tech, fortunately advised by Dr.Xuan Wang. I am also a student member of the Sanghani Center for Artificial Intelligence and Data Analytics at VT. Before that, I received my B.S. in computer science from Wuhan University.
News and Highlights
- (9/1/26) We are excited to be invited to the KAAI Workshop 2026: Foundation Models & Agentic Methods for Astrophysical Simulation at Carnegie Mellon University!
- (8/21/26) We are grateful to lead the project Efficient Multimodal Long Context Reasoning via Parameter Generation, supported by an NSF NAIRR Pilot award (1 year, 20K GPU Hours on NCSA Delta).
- (8/8/26) We are excited to present a tutorial of Towards The Science of Multi-Agent Communication at NeurIPS 2026! Looking forward to seeing everyone in Atlanta in December!
- (6/30/26) Our survey Toward the Science of Multi-Agent Communication: A Comprehensive Survey is now available!
- (4/30/26) Our paper BioArc is accepted by ICML’26!
- (2/26/25) Our paper GraphGPT-O is accepted by CVPR’25!
- (10/23/24) Our paper UniGLM is accepted by WSDM’25!
- (5/16/24) Our paper GAugLLM is accepted by KDD’24!
Research
My research focuses on scalable compositional intelligence: building modular AI systems in which foundation models and agents can communicate, coordinate, and improve one another. My work spans three connected directions:
- Foundation Models: reusable representations across language, graphs, and biological data (UniGLM, GAugLLM, GraphGPT-O).
- Agent Communication and Composition: principles and mechanisms for effective coordination across multimodal and multi-agent systems (survey).
- AI for AI: using models and agents to design, optimize, and evaluate AI systems (BioArc).
Service
- Reviewer: NeurIPS 2026, KDD 2025, ICML 2026, ARR 2025, ARR 2026
- Student Volunteer: KDD 2024