Dr. Xiaohan Chen 陈霄汉 Postdoctoral Research Fellow, KIOS Research and Innovation Center of Excellence, University of Cyprus, Nicosia, Cyprus. Email: chen.xiaohan@ucy.ac.cy

Dr. Xiaohan Chen is a postdoctoral research fellow at the KIOS Research and Innovation Center of Excellence, University of Cyprus, working on the European Research Council (ERC) Water Futures project under the supervision of Prof. Marios Polycarpou. He earned his Ph.D. in Electrical Engineering and Electronics from the University of Liverpool in 2024, supervised by Prof. Rui Yang. Dr. Chen's currently research focuses on explainable fault diagnosis and isolation in drinking water distribution systems. He has published over 10 high-impact journal and conference papers and actively serves as a reviewer for leading international journals and conferences, including Neurocomputing, Expert Systems With Applications, IEEE TNNLS, and IEEE TII.

Research interests: Transfer Learning, Graph Neural Networks, Few-Shot Learning, Temporal Signal Analysis, Fault Diagnosis.

News

[Sep 2024] Chen passed his viva and became a Doctor
[Aug 2024] Two papers accepted by IEEE Transactions on Artificial Intelligence and IEEE Transactions on Industrial Informatics
[Mar 2024] One paper accepted by IFAC SAFEPROCESS 2024
[Feb 2024] One paper accepted by Control Engineering Practice
[July 2023] One paper accepted by Neurocomputing
[July 2023] Two papers accepted by IEEE Transactions on Instrumentation and Measurement
[Jun 2021] One paper accepted by CAA SAFEPROCESS 2021
[May 2020] One paper accepted by Journal of Intelligent Manufacturing

Selected Publications

Journal Papers

• Separable Convolutional Network-Based Fault Diagnosis for High-Speed Train: A Gossip Strategy-Based Optimization Approach
  Yihao Xue, Rui Yang, Xiaohan Chen, Baoye Song, Zidong Wang.
  IEEE Transactions on Industrial Informatics, 2024
  

• A Review on Transferability Estimation in Deep Transfer Learning
  Yihao Xue, Rui Yang, Xiaohan Chen, Weibo Liu, Zidong Wang, Xiaohui Liu.
  IEEE Transactions on Artificial Intelligence, 2024
  

• TFPred: Learning Discriminative Representations from Unlabeled Data for Few-Label Rotating Machinery Fault Diagnosis [Code]
  Xiaohan Chen, Rui Yang, Yihao, Xue, Baoye Song, Zidong Wang.
  Control Engineering Practice, 2024
  

• A Novel Momentum Prototypical Neural Network to Cross-Domain Fault Diagnosis for Rotating Machinery Subject to Cold-Start
  Xiaohan Chen, Rui Yang, Yihao, Xue, Chao Yang, Baoye Song, Maiying Zhong.
  Neurocomputing, 2023
  

• A Novel Local Binary Temporal Convolutional Neural Network for Bearing Fault Diagnosis
  Yihao Xue, Rui Yang, Xiaohan Chen, Zhongbei Tian, Zidong Wang.
  IEEE Transactions on Instrumentation and Measurement, 2023
  

• Deep Transfer Learning for Bearing Fault Diagnosis: A Systematic Review Since 2016(🏆ESI highly cited paper,🔥ESI hot cited paper)
  Xiaohan Chen, Rui Yang, Yihao, Xue, Mengjie Huang, Roberto Ferrero, Zidong Wang.
  IEEE Transactions on Instrumentation and Measurement, 2023
  

• Bearing Fault Diagnosis Base on Multi-scale CNN and LSTM Model [Code] (🏆ESI highly cited paper)
  Xiaohan Chen, Beike Zhang, Dong Gao.
  Journal of Intelligent Manufacturing, 2020
  

Conference Papers

• Multi-Modal Self-Supervised Learning for Cross-Domain One-Shot Bearing Fault Diagnosis
  Xiaohan Chen, Yihao Xue, Mengjie Huang, Rui Yang.
  2024 IFAC Symposium on Fault Detection, Supervision, and Safety for Technical Processes (IFAC SAFEPROCESS 2024), Ferrara, Italy.
  

• Transfer Learning with Unsupervised Domain Adaptation Method for Bearing Fault Diagnosis
  Xiaohan Chen, Rui Yang, Huiqing Wen; Steven Guan.
  2021 CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes (CAA SAFEPROCESS 2021), Chengdu, China.
  

• Algorithm Based on Improved Genetic Algorithm for Job Shop Scheduling Problem
  Xiaohan Chen, Beike Zhang, Dong Gao.
  2019 IEEE International Conference on Mechatronics and Automation (ICMA 2019), Tianjin, China.
  

• An Improved Bat Algorithm for Job Shop Scheduling Problem
  Xiaohan Chen, Beike Zhang, Dong Gao.
  2019 IEEE International Conference on Mechatronics and Automation (ICMA 2019), Tianjin, China.
  

Selected Awards

Ph.D. scholarships, University of Liverpool

Outstanding Student of Baidu Deep Learning Engineer Training Camp, 2020

National Student Scholarship, 2017,2018,2019

Outstanding Volunteer of The University of Miskolc Confucius Institute Summer Camp, 2019

Activities

• Journal Reviewer
  

  Neurocomputing
  Measurement
  Expert Systems With Applications
  Annual Reviews in Control
  Scientific Reports
  Signal, Image and Video Processing
  International Journal Of Computer Applications In Technology
  IEEE Transactions on Instrumentation and Measurement
  IEEE Transactions on Neural Networks and Learning Systems
  IEEE Transactions on Industrial Informatics
  

• Conference Reviewer
  

  2024/2025 International Conference on Electrical, Computer and Energy Technologies
  2023 IEEE Conference on Fully Actuated System Theory and Applications
  2023 International Conference on Guidance, Navigation and Control
  2021 CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes
  

• Conference Presentations
  

  2024 IFAC SAFEPROCESS, Ferrara, Italy
  2021 CAA SAFEPROCESS, Online
  2019 IEEE ICMA, Tianjin, China
  


© Xiaohan Chen | Last updated: Mar 2025