Rui Ye
Scholar

Rui Ye

Google Scholar ID: Q4-VTxcAAAAJ
Shanghai Jiao Tong University
Multi-AgentAgentsFederated Learning
Citations & Impact
All-time
Citations
807
 
H-index
13
 
i10-index
14
 
Publications
20
 
Co-authors
14
list available
Resume (English only)
Academic Achievements
  • Awarded the National Scholarship in 2024 and 2025; multiple papers accepted by ICML 2025, ICLR 2025, Nature Communications, and other top conferences and journals; co-organized the ICML 2025 Workshop on Multi-Agent Systems; served as an Area Chair for NeurIPS 2025 Position Paper Track; released several open-source projects such as Tongyi DeepResearch, AgentFold, and OpenFedLLM.
Research Experience
  • Internship experience at Microsoft Research Asia, Shanghai AI Laboratory, and Alibaba Tongyi Lab. Seeking opportunities as a research intern or full-time researcher and open to collaborations.
Education
  • PhD candidate at Shanghai Jiao Tong University, advised by Prof. Siheng Chen; Bachelor's degree from Shanghai Jiao Tong University, ranked first out of 150.
Background
  • Research interests: AI Agents and Collaborative AI, including Agentic LLMs (reasoning, tools, context, etc.), LLM-based Multi-Agent Systems (MAS, workflow), and Collaborative Training (Federated Learning). Received a Bachelor's degree from SJTU, ranked first out of 150.
Miscellany
  • Personal interests and hobbies not mentioned