👨‍🎓About

Renyou Xie is a 2^nd year Ph.D. student at School of Electrical Engineering and Telecommunication, University of New South Wales, Sydeney, NSW, Australia. His interest include Energy and AI, Federated Learning, microgrids, fuel cell, prognostics.

📚︎ Education

• 09/2023~Present: School of Electrical Engineering and Telecommunication, University of New South Wales

  • Ph.D. student in Electrical Engineering
  • Supervisors: Dr.Chaojie Li, A/Prof.Guo Chen.

• 09/2018-04/2021：School of Automation, Northwestern Polytechnical University

  • MPhil in Electrical Engineering
  • Supervisor: Prof.Yuren Li

• 09/2014-06/2018：School of Automation, Northwestern Polytechnical University

  • B.E. in Electrical Engineering

🏫 Work Experience

• 09/2024 - 12/2024 School of Electrical Engineering and Telecommunication, University of New South Wales
  • Tutor & lab demonstrator of UNSW ELEC3111， Distributed energy generation
• 07/2024 - 09/2024 School of Electrical Engineering and Telecommunication, University of New South Wales
  • Tutor of graduate course (ELEC9781)， Special Topics in Energy storage

• 09/2021-07/2023: School of Automation, Central South University

  • Research Asistant
  • Supervisor: Prof.Xiaojun Zhou

🏆︎Hornors and Awards

• 2024: Gold Medal of China International College Students’ Innovation Competition 2024 (CICSIC)
• 2021: Outstanding Master’s Thesis of Northwestern Polytechnical University
• 2019-2020: National Scholarship ￥20，000
• 2019-2020: Outstanding graduate student of Northwestern Polytechnical University

🗎 Publications

• Xie R, Yin X, Li C, et al. Large Language Model-aided Edge Learning in Distribution System State Estimation. IEEE Internet of Things Journal, doi: 10.1109/JIOT.2024. 3483441.

• Xie R, Li C, Zhou X and Dong Z, Accelerating Communication-efficient Federated Multi-Task Learning With Personalization and Fairness IEEE Transactions on Parallel and Distributed Systems, doi: 10.1109/TPDS.2024.3411815

• Xie R, Li C, Zhou X, Chen H and Dong Z, Differentially Private Federated Learning for Multitask Objective Recognition IEEE Transactions on Industrial Informatics, vol. 20, no. 5, pp. 7269-7281, May 2024, doi: 10.1109/TII.2023.3342897.

• Xie R, Li C, Ma R, et al. An explainable data-driven framework for fuel cell aging prediction under dynamic condition[J]. IEEE Transactions on Industrial Electronics, 2022, 70(6): 5960-5970.

• Xie R, Ma R, Pu S, et al. Prognostic for fuel cell based on particle filter and recurrent neural network fusion structure[J]. Energy and AI, 2020, 2: 100017.

• Xie R, Li C, Zhou X, et al. Asynchronous federated learning for real-time multiple licence plate recognition through semantic communication[C]//ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2023: 1-5. (oral)

• Ma R, Xie R*, Xu L, et al. A hybrid prognostic method for PEMFC with aging parameter prediction[J]. IEEE Transactions on Transportation Electrification, 2021, 7(4): 2318-2331.

• Zhang H, Xie R, Li Y, et al. Finite-Time Model Predictive Stabilization of DC Electrical Power Systems Feeding CPLs in More Electric Aircraft[J]. IEEE Transactions on Industrial Electronics, 2024.

• Zhang H, Xie R, Li Y, et al. Fast Terminal Sliding Mode Control of DC-DC Boost Converters with Enhanced Disturbance Rejection[J]. IEEE Journal of Emerging and Selected Topics in Power Electronics, 2023.

Services

• Conference reviewer

  • IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

  • IEEE IECON

• Journal reviewer
  • Automatica
  • IEEE Transactions on Information Forensics and Security
  • IEEE Transactions on Cybernetics
  • IEEE Transactions on Industrial Electronics
  • IEEE Transactions on Transportation Electrification
  • IEEE Transactions on Energy Conversion
  • Energy Conversion and Management
  • IEEE Network Magazine
  • IEEE Transactions on Industry Applications