I am a second-year M.Phil. student in the Department of Industrial Engineering and Management at Shanghai Jiao Tong University (SJTU), advised by Prof. Yanting Li. My research interests include distributed statistical learning, multi-source data analytics, and process monitoring. I am also exploring research topics related to generative models and large language models.

I am actively seeking Ph.D. opportunities starting in Fall 2027!

📖 Educations

  • 2024.9 - 2027.6, M.Phil. in the Department of Industrial Engineering and Management, Shanghai Jiao Tong University, Shanghai, China (advisor: Prof. Yanting Li).
  • 2020.9 - 2024.6, B.S. in the Department of Industrial Engineering and Management, Shanghai Jiao Tong University, Shanghai, China.

Visiting Experience

  • 2025.6 - 2025.9, Visiting student, Industrial Informatics and Intelligence Institute, Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China (advisor: Prof. Fugee Tsung).

📝 Publications

[3] A Clustered Federated Learning Framework for Collaborative Fault Diagnosis of Wind Turbines. Rui Zhou, Yanting Li#, Xinhua Lin. Applied Energy, 2025. [code]

[2] Federated Incremental Collaborative Fault Diagnosis Method for Dynamic Data Streams in Multiple Wind Farms. Zhijun Wang, Yanting Li#, Zhisheng Ye, Zhenyu Wu, Rui Zhou. IEEE Transactions on Cybernetics, 2025.

[1] (C) FedCOP: Federated Contrastive Orthonormal Prototype Learning Framework for Multi-Wind Farm Collaborative Fault Detection. Rui Zhou, Yanting Li#. IEEE International Conference on Automation Science and Engineering (CASE), 2025. [code]

# corresponding author, † equal contribution, (C) conference paper.

🎖 Awards

  • 2026.07, Best Paper Competition Finalist at the 2026 INFORMS Conference on Quality, Statistics, and Reliability.
  • 2025.12, National Scholarship.
  • 2024.06, Outstanding Graduate of Shanghai Jiao Tong University.
  • 2021.12, 1st Prize, 13th National College Student Mathematics Competition.

🔥 News

  • 2026.07: Named a Best Paper Competition Finalist at the 2026 INFORMS Conference on Quality, Statistics, and Reliability.