Dr. Xiaohan Chen陈霄汉
Department of Electrical Engineering and Electronics, |
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Research interests: Transfer Learning, Self-Supervised Learning, Few-Shot Learning, Temporal Signal Classification, Fault Diagnosis.
[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
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 & Measurement, 2023
Deep Transfer Learning for Bearing Fault Diagnosis: A Systematic Review Since 2016(🏆ESI highly cited paper)
Xiaohan Chen, Rui Yang, Yihao, Xue, Mengjie Huang, Roberto Ferrero, Zidong Wang.
IEEE Transactions on Instrumentation & 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
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.
Ph.D. scholarships, University of Liverpool, 2021-2024
Outstanding Student of Baidu Deep Learning Engineer Training Camp, 2020
National Student Scholarship, 2019,2018,2017
Outstanding Volunteer of The University of Miskolc Confucius Institute Summer Camp, 2019
Journal Reviews
Neurocomputing
Measurement
Expert Systems With Applications
Scientific Reports
Signal, Image and Video Processing
International Journal Of Computer Applications In Technology
IEEE Transactions on Instrumentation & Measurement
IEEE Transactions on Neural Networks and Learning Systems
Conference Reviews
2024 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
IFAC SAFEPROCESS 2024, Ferrara, Italy
CAA SAFEPROCESS 2021, Online
IEEE ICMA 2019, Tianjin, China