Feijie Wu
Scholar

Feijie Wu

Google Scholar ID: HIUrcKgAAAAJ
Purdue University
Federated LearningOptimizationLarge Language ModelLLM-based Multi-agents
Citations & Impact
All-time
Citations
622
 
H-index
10
 
i10-index
11
 
Publications
20
 
Co-authors
20
list available
Resume (English only)
Academic Achievements
  • Best Student Paper Award, ACM BSCI'19.
  • Paper on LLM training for tool use released on arXiv in October 2025.
  • Paper on LLM copyright protection with regularized selective unlearning accepted by COLM'25.
  • Paper on federated RLHF accepted by ICLR'25.
  • Paper on model-heterogeneous federated learning accepted by NeurIPS'24.
  • Paper on LLM copyright protection accepted by EMNLP'24.
  • Paper on heterogeneous multi-modal federated learning accepted by SenSys'24.
  • Travel grant recipient from SenSys'24.
  • Served as reviewer/TPC member for ICML, NeurIPS, ICLR, KDD, ECML-PKDD, ACL Rolling Review, etc.
Research Experience
  • Graduate Research Assistant, Purdue University, Advisor: Prof. Jing Gao, August 2022 – Present.
  • Machine Learning Intern, Apple Inc., Mentors: Weiwu Zhu, Dr. Shawn Zhang, Soumya Chatterjee, May 2025 – August 2025.
  • Research Intern, Alibaba Group, Mentors: Dr. Zitao Li, Dr. Fei Wei, Dr. Yaliang Li, May 2024 – August 2024.
  • Research Intern, Alibaba Group (Bellevue), Mentors: Dr. Yaliang Li, Dr. Zitao Li, May 2023 – August 2023.
  • Research Assistant, Pervasive Edge Intelligence Laboratory (PEILab), The Hong Kong Polytechnic University, Advisor: Prof. Song Guo, September 2020 – August 2022.
  • Research Assistant, The Chinese University of Hong Kong (Shenzhen), Advisor: Prof. Wei Cai, July 2019 – September 2019.
  • Research Assistant, The University of British Columbia, Advisor: Prof. Victor C.M. Leung, July 2018 – September 2018.