Xiang Li

Professor

Xi'an Jiaotong University, China

Email: lixiang@xjtu.edu.cn

Apologies!!! This site is no longer updated!!!!!

Please visit my new Homepage here!!

English version: https://gr.xjtu.edu.cn/web/lixiang/english

Chinese version: https://gr.xjtu.edu.cn/web/lixiang/home

Biography

I was born in 1990. I'm a professor at Xi'an Jiaotong University. I received the Ph.D degree in Mechanics from Tianjin University in 2017, and received the Double Bachelor degrees in Engineering Mechanics and Engineering Management from Tianjin University in 2012. In 2015, I was a visiting scholar at University of California, Merced. From 2019 to 2021, I was a postdoc fellow at IMS Center, University of Cincinnati. My research interests include:

· Industrial AI

· Deep learning

· Intelligent machinery fault diagnosis

· Prognostics and health management

· Multi-objective optimization

[My Google Scholar]

[My ResearchGate]

[My Publons]

News

2020.4 Papers were accepted by MSSP, KBS, IEEE TIE, MMT etc.

2020.3 Six conference papers were accepted by NAMRC

2019.8 Transfer learning papers were accepted by IEEE TIE, IEEE TII etc.

2019.5 Start my postdoc research at IMS Center, University of Cincinnati

2019.5 A talk on deep learning in fault diagnosis at rotor symposium in Zhengzhou

2018.12 Papers were accepted by RESS, SP etc.

2018.8 One generative model paper in fault diagnosis was accepted by IEEE TIE

2018.7 A talk on deep learning in fault diagnosis at Tianjin University

2017.12 One multi-objective optimization paper was accepted by IEEE ITS

2017.11 One RUL prediction paper was accepted by RESS

2017.5 Start my career at Department of Mechanics, College of Sciences, Northeastern University

Selected Publications

full publication list

Cross-Domain Fault Diagnosis of Rolling Element Bearings Using Deep Generative Neural Networks

Xiang Li*, Wei Zhang and Qian Ding

IEEE Transactions on Industrial Electronics, 2019, 66 (7), 5525-5534 .

[ Paper | Project Page ]

Industrial Remaining Useful Life Prediction by Partial Observation Using Deep Learning with Supervised Attention

Xiang Li*, Xiaodong Jia, Yinglu Wang, Shaojie Yang, Haodong Zhao, Jay Lee

IEEE/ASME Transactions on Mechatronics, 2020.

[ Paper | Data | Project Page ]

Diagnosing Rotating Machines with Weakly Supervised Data Using Deep Transfer Learning

Xiang Li, Wei Zhang, Qian Ding and Xu Li*

IEEE Transactions on Industrial Informatics, 2019.

[ Paper | Project Page ]

Deep Learning-Based Machinery Fault Diagnostics with Domain Adaptation Across Sensors at Different Places

Xiang Li*, Wei Zhang, Nan-Xi Xu and Qian Ding

IEEE Transactions on Industrial Electronics, 2019.

[ Paper | Project Page ]

Remaining Useful Life Estimation in Prognostics Using Deep Convolution Neural Networks

Xiang Li*, Qian Ding and Jian-Qiao Sun

Reliability Engineering & System Safety, 2018, 172: 1-11

[ Paper | Project Page ]

Multi-layer domain adaptation method for rolling bearing fault diagnosis

Xiang Li*, Wei Zhang, Qian Ding and Jian-Qiao Sun

Signal Processing, 2019, 157: 180-197.

[ Paper | Project Page ]

Deep learning-based remaining useful life estimation of bearings using multi-scale

feature extraction

Xiang Li*, Wei Zhang and Qian Ding

Reliability Engineering & System Safety, 2019

[ Paper | Project Page ]

Signal Multiobjective Optimization for Urban Traffic Network

Xiang Li and Jian-Qiao Sun*

IEEE Transactions on Intelligent Transportation Systems, 2018, 19 (11): 3529-3537.

[ Paper | Project Page ]

Xiang Li

Professor

Xi'an Jiaotong University, China

Email: lixiang@xjtu.edu.cn

Apologies!!! This site is no longer updated!!!!!

Please visit my new Homepage here!!

English version: https://gr.xjtu.edu.cn/web/lixiang/english

Chinese version: https://gr.xjtu.edu.cn/web/lixiang/home

Biography

· Industrial AI

· Deep learning

· Intelligent machinery fault diagnosis

· Prognostics and health management

· Multi-objective optimization

[My Google Scholar]

[My ResearchGate]

[My Publons]

News

2020.4 Papers were accepted by MSSP, KBS, IEEE TIE, MMT etc.

2020.3 Six conference papers were accepted by NAMRC

2019.8 Transfer learning papers were accepted by IEEE TIE, IEEE TII etc.

2019.5 Start my postdoc research at IMS Center, University of Cincinnati

2019.5 A talk on deep learning in fault diagnosis at rotor symposium in Zhengzhou

2018.12 Papers were accepted by RESS, SP etc.

2018.8 One generative model paper in fault diagnosis was accepted by IEEE TIE

2018.7 A talk on deep learning in fault diagnosis at Tianjin University

2017.12 One multi-objective optimization paper was accepted by IEEE ITS

2017.11 One RUL prediction paper was accepted by RESS

2017.5 Start my career at Department of Mechanics, College of Sciences, Northeastern University

Selected Publications

full publication list

Cross-Domain Fault Diagnosis of Rolling Element Bearings Using Deep Generative Neural Networks

Industrial Remaining Useful Life Prediction by Partial Observation Using Deep Learning with Supervised Attention

Diagnosing Rotating Machines with Weakly Supervised Data Using Deep Transfer Learning

Deep Learning-Based Machinery Fault Diagnostics with Domain Adaptation Across Sensors at Different Places

Remaining Useful Life Estimation in Prognostics Using Deep Convolution Neural Networks

Multi-layer domain adaptation method for rolling bearing fault diagnosis

Deep learning-based remaining useful life estimation of bearings using multi-scale

feature extraction

Signal Multiobjective Optimization for Urban Traffic Network

Experience

2015.9 - 2016.9 Joint PhD program at University of California, Merced, US

2015.7 - 2015.8 Internship at Research Institute of Highway Ministry of Transport

Honors

2019 Outstanding Contribution Award, Northeastern University

2018 Contribution Award, College of Sciences, Northeastern University

2016 National Scholarship, Tianjin University

2015 China Scholarship Council Scholarship

2012, 2015 Chen Yu-Shu Scholarship, Tianjin University