Xiang Li, Professor at Xi'an Jiaotong University, China. I'm an IET Fellow. My research interests include industrial AI, machine vision, neuromorphic computing, predictive maintenance, event camera, etc. I have published over 70 high-level research papers, including 23 ESI highly cited papers and 8 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 10000 with H-index of 44. I'm honored to be selected as Highly Cited Researcher by Clarivate, and top 2% scientists in career worldwide.

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

• Semiconductor manufacturing    • 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 1500+]
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]