I am a Ph.D. student in Computer Science at Emory University, advised by Prof. Liang Zhao. I build AI systems that retrieve knowledge, reason over complex information, collaborate autonomously, and ultimately accelerate scientific discovery. My research spans Agentic AI, Scientific AI, Retrieval-Augmented Intelligence, and Graph Intelligence, with a particular interest in enabling foundation models to make better use of external knowledge, structured reasoning, and adaptive multi-agent collaboration.
My research has evolved from graph representation learning and spatio-temporal data mining to retrieval-augmented AI systems and autonomous research agents. This line of work has led to publications at leading AI and data mining venues, including ICML, NeurIPS, KDD, NAACL, SIGIR, WSDM, ACL, and CIKM. Before joining Emory, I worked with Prof. Yong Deng and Prof. Fuyuan Xiao on graph learning and time-series modeling. I am always excited to discuss new ideas and collaborate on challenging research problems. I am actively interested in research collaborations, visiting positions, academic and industry internships, and full-time research opportunities. If our research interests align, please feel free to reach out by email.
Research Interests
Education
Experience
News
- May 2026Two papers accepted to ICML 2026 — on evolutionary multi-agent systems and continual RAG memory. 🎉
- Sep 2025Started as an Applied Scientist Intern at AWS AI, Fundamental Research Team.
- Oct 2025DeepNT accepted to WSDM 2025. 🎉
- May 2026Joined ByteDance as a Software Engineering Intern on the Applied Machine Learning team.
- Apr 2025CG-RAG accepted to SIGIR 2025. 🎉
- Jan 2025GRAG accepted to NAACL 2025. 🎉
Publications
Awards & Honors
- Outstanding Research Assistant (1 in Emory CS), Emory University, 2025-2026.
- SIGSPATIAL 2024 — Best Paper Candidate.
- Graduate Representative, Southwest University, 2023.