• 2011 - 2012   Visiting professor, National Science Foundation/ University of Cincinnati -Research Center for Intelligent Maintenance Systems, USA.

• 2003/09 – 2020/12;  Assistant Prof., Associate Prof. (2006), Full Prof. (2012), Deputy Dean (2018), School of Mechanical & Automotive Engineering, South China University of Technology.

• 2021/01   Deputy Dean, Shien-Ming Wu School of Intelligent Engineering, South China University of Technology.

• He received his Ph.D. degree in mechanical engineering from the Huazhong University of Science and Technology, Wuhan, China, in 2003. He received his Master & Bachelor’s degree in mechanical engineering from the Taiyuan University of Technology, Taiyuan, China in 1998 and 1995 respectively.

• Advanced manufacturing technologies；In situ processing monitoring & materials characterization； Micro/nano materials and devices

• Engineering Mechanics，Design and Manufacturing II

2021

• [1].W. Li, Z. Chen and G. He, “A novel weighted adversarial transfer network for partial domain fault diagnosis of machinery,” IEEE Transactions on Industrial Informatics, vol. 17, no. 3, pp. 1753-1762, March 2021. (IF: 9.112)

• [7].R. Huang, J. Li, Y. Liao, J. Chen, Z. Wang and W. Li*, “Deep Adversarial Capsule Network for Compound Fault Diagnosis of Machinery Toward Multidomain Generalization Task,” IEEE Transactions on Instrumentation and Measurement, vol. 70, pp. 1-11, 2021. (IF: 3.658)

2020

• [2].R. Huang, J. Li, S. Wang, G. Li and W. Li*, “A Robust Weight-Shared Capsule Network for Intelligent Machinery Fault Diagnosis,” IEEE Transactions on Industrial Informatics, vol. 16, no. 10, pp. 6466-6475, Oct. 2020. (IF: 9.112)

• [3].Y Xie, S Zheng, W Li*, Feature-Guided Spatial Attention Upsampling for Real-Time Stereo Matching Network, IEEE Multmedia, DOI: 10.1109/MMUL.2020.3030027, Oct. 2020 (IF: 4.962)

• [4].Z. Chen, K. Gryllias and W. Li*, “Intelligent Fault Diagnosis for Rotary Machinery Using Transferable Convolutional Neural Network,” IEEE Transactions on Industrial Informatics, vol. 16, no. 1, pp. 339-349, Jan. 2020. (IF: 9.112, ESI highly cited paper)

• [6].J. Li, R. Huang, G. He, Y. Liao, Z. Wang and W. Li*, “A Two-Stage Transfer Adversarial Network for Intelligent Fault Diagnosis of Rotating Machinery with Multiple New Faults,” IEEE/ASME Transactions on Mechatronics, doi: 10.1109/TMECH.2020.3025615. (IF: 5.673, Online)

• [8].R. Huang, J. Li, W. Li* and L. Cui, “Deep Ensemble Capsule Network for Intelligent Compound Fault Diagnosis Using Multisensory Data,” IEEE Transactions on Instrumentation and Measurement, vol. 69, no. 5, pp. 2304-2314, May 2020. (IF: 3.658)

• [10].Z. Chen, G. He, J. Li, Y. Liao, K. Gryllias and W. Li*, “Domain Adversarial Transfer Network for Cross-domain Fault Diagnosis of Rotary Machinery,” IEEE Transactions on Instrumentation and Measurement, vol. 69, no. 11, pp. 8702-8712, Nov. 2020. (IF: 3.658)

• [11].Y. Liao, R. Huang, J. Li, Z. Chen and W. Li*, “Deep Semisupervised Domain Generalization Network for Rotary Machinery Fault Diagnosis under Variable Speed,” IEEE Transactions on Instrumentation and Measurement, vol. 69, no. 10, pp. 8064-8075, Oct. 2020. (IF: 3.658)

• [18].J. Li, R. Huang, G. He, S. Wang, G. Li and W. Li*, “A Deep Adversarial Transfer Learning Network for Machinery Emerging Fault Detection,” IEEE Sensors Journal, vol. 20, no. 15, pp. 8413-8422, Aug. 2020. (IF:3.073)

• [19].S. Zhang, M. Wang, F. Yang and W. Li*, “Manifold Sparse Auto-Encoder for Machine Fault Diagnosis,” IEEE Sensors Journal, vol. 20, no. 15, pp. 8328-8335, Aug. 2020. (IF:3.073)

• [14].Z. Chen, A. Mauricio, W. Li* and K. Gryllias, “A deep learning method for bearing fault diagnosis based on Cyclic Spectral Coherence and Convolutional Neural Networks”, Mechanical Systems and Signal Processing, 2020, 140: 106683. (IF：6.471, ESI highly cited paper)

2019

• [12].B. Zhang, S. Zhang and W. Li*, “Bearing performance degradation assessment using long short-term memory recurrent network,” Computers in Industry, 106:14-29, 2019. (IF: 3.954, ESI highly cited paper)

• [13].R. Huang, Y. Liao, S. Zhang and W. Li*, “Deep Decoupling Convolutional Neural Network for Intelligent Compound Fault Diagnosis,” IEEE Access, vol. 7, pp. 1848-1858, 2019. (IF: 3.745, ESI highly cited paper)

• [15].Z. Chen, K. Gryllias and W. Li*, “Mechanical fault diagnosis using Convolutional Neural Networks and Extreme Learning Machine,” Mechanical Systems and Signal Processing, 2019, 133: 106272. (IF: 6.471)

• [16].Z. Zeng, K. Ding, G. He and W. Li*, “Space-time model and spectrum mechanism on vibration signal for planetary gear drive”, Mechanical Systems and Signal Processing, 2019, 129: 164-185. (IF: 6.471)

2018

• [20].Y. Liao, L. Zhang and W. Li*, “Regrouping particle swarm optimization based variable neural network for gearbox fault diagnosis”, Journal of Intelligent & Fuzzy Systems, 2018, 34(6): 3671-3680. (IF: 1.851)

2017

• [9].Z. Chen and W. Li*, “Multisensor Feature Fusion for Bearing Fault Diagnosis Using Sparse Autoencoder and Deep Belief Network,” IEEE Transactions on Instrumentation and Measurement, 2017, 66(7):1693-1769 (IF: 3.658, ESI highly cited paper)

• [17].R. Zhao, W. Li*, W. Zhuge, Y. Zhang and Y. Yin, “Numerical study on steam injection in a turbocompound diesel engine for waste heat recovery,” Applied Energy, vol. 185, Part 1, pp. 506-518, 2017. (IF:8.848)

2016

• [5].W. Li, S. Zhang and R. Subhash, “Feature Denoising and Nearest-Farthest Distance Preserving Projection for Machine Fault Diagnosis,” IEEE Transactions on Industrial Informatics, 2016, 12(1):393-404 ( IF: 9.112)

• [1].Deep decoupling convolutional neural network for intelligent compound fault diagnosis

• [2].A road traffic sign recognition method based on FASTR-CNN

• [3].Numerical study on steam injection in a turbocompound diesel engine for waste heat recovery

• [4].Fault diagnosis method based on stacked denoising self-coding network and particle swarm optimization for bearings

• [5].A four-wheel positioning instrument for chassis

• [6].Bearing early fault identification method based on LSTM neural network

• [7].A lithium battery charging control method for electric vehicle

• [8].A multi-node vehicle control system for small racing car

• [9].The rigid-body modal parameter test method of powertrain mount system under vehicle condition

• [10].A sanitation transport vehicle based on new loading mechanism