Iโ€™m Shanglin (Jason) Wu, a first-year Ph.D. student in Computer Science and Informatics at Emory University, where I am advised by Dr. Kai Shu. I received my Bachelorโ€™s degree in Artificial Intelligence from Yuanpei College, Peking University in 2025.

My research focuses on developing the next generation of autonomous AI agents, with a specific emphasis on two fundamental pillars: enabling lifelong learning and ensuring reliable multi-agent collaboration. I am driven by the challenge of building agentic systems that can adapt continuously to new experiences and collaborate effectively to solve complex, high-stakes problems in real-world environments.

News

  • 2026.02: ๐ŸŽ‰๐ŸŽ‰ Our paper Memory in LLM-based Multi-agent Systems: Mechanisms, Challenges, and Collective Intelligence is accepted by PAKDD 2026!
  • 2025.07: ๐ŸŽ‰๐ŸŽ‰ Completed my internship in Microsft Research Asia Alumni!

Research Experience

Publications

Diagram of KG Factuality Improvement Improving Factuality in LLMs via Inference-Time
Knowledge Graph Construction

Shanglin Wu, Lihui Liu, Jinho D. Choi, Kai Shu
Diagram of KG Factuality Improvement Memory in LLM-based Multi-agent Systems: Mechanisms, Challenges, and Collective Intelligence
Shanglin Wu, Kai Shu

Education

  • 2025 - Now: Ph.D., Computer Science and Informatics. Emory University.
  • 2021 2025: B.s., Artificial Intelligence. Peking University

Academic Service

  • Reviewer/Program Committee: ICLR{2026}, TACL{2026}, WWW{2026}, ACL ARR{2025}, IEEE CogMI{2025}, IEEE BigData{2026}, SIGIR{2026}.