About Me

I am now a Ph.D. candidate at LTI in Carnegie Mellon University (CMU), advised by Prof. Lei Li. Before that I studies in UC Santa Barbara as a PhD student as a member of UCSB NLP Group. I was a full-time researcher of ByteDance AI Lab. I obtained my Master’s and Bachelor’s degrees in Computer Science from Fudan University and was a member of Fudan NLP Group, advised by Prof. Xipeng Qiu and Prof. Xuanjing Huang.

My research focuses on Strategic Planning and Reasoning in LLM Agents, including agent collaboration, agent competition, agent communication and agentic safety. I am also interested in AI for Science, such as AI-assisted Drug Discovery. You can find my resume / CV here.

Education

• 2024.1-Now: PhD in LTI, CMU (Expected Graduation: 2027.6)
• 2022.9-2023.12: PhD in Computer Science, UCSB (Transferred)
• 2018.9-2021.1: Master in Computer Science, Fudan University
• 2014.9-2018.6: Bachelor in Computer Science and Technology, Fudan University

Experience

• 2026.5-Now: Research Scientist Intern, Microsoft Research (MSR)
  • Mentor: Baolin Peng
• 2025.5-2025.10: Research Scientist Intern, Meta AI (FAIR)
  • Mentor: Ansong Ni, Asli Celikyilmaz
  • Topic: Multi-agent Communication
• 2024.3-2024.5: Research Scientist Intern, Alibaba (Team Qwen)
  • Mentor: Jianxin Ma
  • Topic: Large Language Model Reasoning
• 2023.6-2024.1: Research Scientist Intern, Meta AI (FAIR)
  • Mentor: Yuandong Tian
  • Topic: Personalized Alignment in LLMs
• 2020.4-2022.8: Researcher, ByteDance Research (AI Lab)
  • Mentor: Jiaze Chen, Hao Zhou, Lei Li
  • Topic: Text Generation, AI for Drug Design

Awards

• 2025 Amazon AI PhD Fellowship

Academic Service

PC Member

• ICML (2023-2025), NeurIPS (2023-2025), ICLR (2024-2026)
• ACL (2020,2021), NAACL (2021,2024,2025), EMNLP (2020-2024)
• AAAI (2020-2024)
• KDD (2023,2024)
• NLPCC (2022)

Organizer

• Socal NLP Symposium 2022

Teaching Assistant

• CS11868 LLM Systems Spring 2026
• CS190I Deep Learning Winter 2023
• CS165B Machine Learning Spring 2023