Xiang Li, Associate Professor at School of Mechanical Engineering, Xi'an Jiaotong University, China. My research interests include industrial AI, machine vision, neuromorphic computing, predictive maintenance, event camera, etc. I have published over 60 high-level research papers, including 21 ESI highly cited papers, 7 ESI hot papers and 18 ESI research front papers. I'm serving as the Associate Editor for IEEE Transactions on Neural Networks and Learning Systems, and Expert Systems with Applications. My citations on Google Scholar are over 8000 with H-index of 41. I'm honored to be selected as Highly Cited Researcher by Clarivate, and top 2% scientists in career worldwide by Elsevier and Stanford University.

• Aviation   • Aerospace   • Machine vision   • Event cameras   • Neuromorphic computing

• Semiconductor manufacturing   • High-speed train   • SMT .....

All the research

For undergraduates

• Big Data Technology

For graduates

• Fault Diagnosis for Machinery

1. 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]
2. 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]
3. 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 1000+]
4. 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]