Xiang Li
- Professor
- Professional Title: Professor
- Supervisor of Doctorate Candidates: Yes
- School/Department: Xi'an Jiaotong University
- E-Mail:
- Business Address: 曲江南一楼A514，创新港2-4156
- Homepage
Xiang Li, Professor at Xi'an Jiaotong University, China. I'm an IET Fellow. My research interests include industrial AI, embodied intelligence, AI4S, machine vision, large model, predictive maintenance, etc. I have published over 100 high-level research papers, including 36 ESI highly cited papers and 13 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 15000 with H-index of 58. I'm honored to be selected as Highly Cited Researcher by Clarivate, and top 2% scientists in career worldwide.
IET Fellow
Vebleo Fellow
Highly Cited Researcher
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–present | 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, USA
2017–2021 | Associate/Assistant Professor, College of Sciences, Northeastern University, China
2012–2017 | PhD in General Mechanics, Tianjin University, China
2015–2016 | Joint PhD Program in Applied Mechanics, University of California, Merced, USA
2008–2012 | B.S. in Engineering Mechanics/Engineering Management, Tianjin University, China
Academic Appointments
Education
Industrial AI and Embodied intelligence
Machine vision and neuromorphic computing
Multimodal large models
Research Interests
Undergraduate Course
Big Data Technology
Graduate Course
Fault Diagnosis for Machinery
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 2000+]
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]
The embodied monitoring system integrates dynamic vision, industrial vision, infrared sensing, and acoustic arrays. A robotic arm adjusts monitoring parameters to support comprehensive equipment health monitoring.
