Xiang Li
- Professor
- E-Mail:
- School/Department: Xi'an Jiaotong University
- Business Address: 曲江南一楼A514，创新港2-4156
- Professional Title: Professor
- Supervisor of Doctorate Candidates: Yes
- Homepage
Xiang Li, Professor at Xi'an Jiaotong University, China. I'm an IET Fellow. My research interests include industrial AI, machine vision, multimodal large model, neuromorphic computing, predictive maintenance, etc. I have published over 100 high-level research papers, including 35 ESI highly cited papers and 12 ESI hot papers. I'm serving as the Associate Editors for IEEE Transactions on Neural Networks and Learning Systems, Expert Systems with Applications, and Pattern Recognition. My citations on Google Scholar are over 14000 with H-index of 56. I'm honored to be selected as Highly Cited Researcher by Clarivate, and top 2% scientists in career worldwide.
Associate Editor of IEEE Transactions on Neural Networks and Learning Systems
Associate Editor of Expert Systems with Applications
Associate Editor of Pattern Recognition
Early career advisory board member of IEEE/CAA Journal of Automatica Sinica
Editorial board member of Measurement Science and Technology
Early career advisory board member of Measurement
Early career advisory board member of Journal of Dynamics, Monitoring and Diagnostics
IEEE Senior Member
IET Fellow Assessor
PhD thesis examiner of Nanyang Technological University
2024 to now Professor, School of Mechanical Engineering, Xi'an Jiaotong University, China
2021 - 2024 Associate Professor, School of Mechanical Engineering, Xi'an Jiaotong University, China
2019 - 2021 Postdoctoral Fellow, Department of Mechanical Engineering, University of Cincinnati, US
2017 - 2021 Associate/Assistant Professor, College of Sciences, Northeastern University, China
2012 - 2017 PhD, General Mechanics, Tianjin University, China
2015 - 2016 Joint PhD Program, Applied Mechanics, University of California at Merced, US
2008 - 2012 B.S., Engineering Mechanics/Engineering Management, Tianjin University, China
Experience
Education
Big Data Technology
Fault Diagnosis for Machinery
For undergraduates
For graduates
Xiang Li, Shupeng Yu, Yaguo Lei, Naipeng Li, Bin Yang*, "Intelligent Machinery Fault Diagnosis With Event-Based Camera", IEEE Transactions on Industrial Informatics, 2023. [Dynamic machine vision]
Xiang Li*, Wei Zhang, and Qian Ding, “Cross-Domain Fault Diagnosis of Rolling Element Bearings Using Deep Generative Neural Networks”, IEEE Transactions on Industrial Electronics, 2019, 66:7, 5525-5534. [Big data-driven fault diagnosis]
Xiang Li*, Qian Ding, and Jian-Qiao Sun, “Remaining useful life estimation in prognostics using deep convolution neural networks”, Reliability Engineering & System Safety, 2018, 172, 1-11. [Remaining useful life prediction][Citations 1500+]
Wei Zhang, Xiang Li*, “Federated Transfer Learning for Intelligent Fault Diagnostics Using Deep Adversarial Networks with Data Privacy”, IEEE/ASME Transactions on Mechatronics, 2021. [Federated learning]
