Xiang Li

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 41

Top Topics

Transfer Learning

Multiobjective Optimization

Weakly Supervised

Fault Diagnosis

Top Venues

IEEE Trans. Ind. Informatics

Reliab. Eng. Syst. Saf.

IEEE Trans. Ind. Electron.

Knowl. Based Syst.

Publications

Xinyang Deng, Xiang Li, Wen Jiang
Evidence representation of uncertain information on a frame of discernment with semantic association. Inf. Fusion 111 (2024)
Bin Yang, Yaguo Lei, Xiang Li, Naipeng Li
Targeted transfer learning through distribution barycenter medium for intelligent fault diagnosis of machines with data decentralization. Expert Syst. Appl. 244 (2024)
Bin Yang, Yaguo Lei, Xiang Li, Naipeng Li, Asoke K. Nandi
Label Recovery and Trajectory Designable Network for Transfer Fault Diagnosis of Machines With Incorrect Annotation. IEEE CAA J. Autom. Sinica 11 (4) (2024)
Xiang Li, Changfei Zhao, Xinyang Deng, Wen Jiang
VTFR-AT: Adversarial Training With Visual Transformation and Feature Robustness. IEEE Trans. Emerg. Top. Comput. Intell. 8 (4) (2024)
Xiang Li, Shupeng Yu, Yaguo Lei, Naipeng Li, Bin Yang
Intelligent Machinery Fault Diagnosis With Event-Based Camera. IEEE Trans. Ind. Informatics 20 (1) (2024)
Xiaofei Liu, Yaguo Lei, Naipeng Li, Xiang Li, Bin Yang
An Optimal-Subdomain Generalization Method for Remaining Useful Life Prediction of Machinery Under Time-Varying Operation Conditions. IEEE Trans. Ind. Informatics 20 (4) (2024)
Naipeng Li, Mingyang Wang, Yaguo Lei, Xiaosheng Si, Bin Yang, Xiang Li
A nonparametric degradation modeling method for remaining useful life prediction with fragment data. Reliab. Eng. Syst. Saf. 249 (2024)
Xinrui Chen, Xiang Li, Shupeng Yu, Yaguo Lei, Naipeng Li, Bin Yang
Dynamic Vision Enabled Contactless Cross-Domain Machine Fault Diagnosis with Neuromorphic Computing. IEEE CAA J. Autom. Sinica 11 (3) (2024)
Ruiyi Guang, Xiang Li, Yaguo Lei, Naipeng Li, Bin Yang
Non-Contact Machine Vibration Sensing and Fault Diagnosis Method Based on Event Camera. SAFEPROCESS (2023)
Bin Yang, Yaguo Lei, Xiang Li, Clive Roberts
Deep Targeted Transfer Learning Along Designable Adaptation Trajectory for Fault Diagnosis Across Different Machines. IEEE Trans. Ind. Electron. 70 (9) (2023)
Shuhui Wang, Yaguo Lei, Bin Yang, Xiang Li, Yue Shu, Na Lu
A graph neural network-based data cleaning method to prevent intelligent fault diagnosis from data contamination. Eng. Appl. Artif. Intell. 126 (2023)
Wei Zhang, Ziwei Wang, Xiang Li
Blockchain-based decentralized federated transfer learning methodology for collaborative machinery fault diagnosis. Reliab. Eng. Syst. Saf. 229 (2023)
Xiang Li, Wei Zhang, Hui Ma, Zhong Luo, Xu Li
Degradation Alignment in Remaining Useful Life Prediction Using Deep Cycle-Consistent Learning. IEEE Trans. Neural Networks Learn. Syst. 33 (10) (2022)
Shahin Siahpour, Xiang Li, Jay Lee
A Novel Transfer Learning Approach in Remaining Useful Life Prediction for Incomplete Dataset. IEEE Trans. Instrum. Meas. 71 (2022)
Vibhor Pandhare, Xiang Li, Marcella Miller, Xiaodong Jia, Jay Lee
Intelligent Diagnostics for Ball Screw Fault Through Indirect Sensing Using Deep Domain Adaptation. IEEE Trans. Instrum. Meas. 70 (2021)
Wei Zhang, Xiang Li, Hui Ma, Zhong Luo, Xu Li
Open-Set Domain Adaptation in Machinery Fault Diagnostics Using Instance-Level Weighted Adversarial Learning. IEEE Trans. Ind. Informatics 17 (11) (2021)
Wei Zhang, Xiang Li, Hui Ma, Zhong Luo, Xu Li
Universal Domain Adaptation in Fault Diagnostics With Hybrid Weighted Deep Adversarial Learning. IEEE Trans. Ind. Informatics 17 (12) (2021)
Wei Zhang, Xiang Li, Hui Ma, Zhong Luo, Xu Li
Federated learning for machinery fault diagnosis with dynamic validation and self-supervision. Knowl. Based Syst. 213 (2021)
Wei Zhang, Xiang Li, Hui Ma, Zhong Luo, Xu Li
Transfer learning using deep representation regularization in remaining useful life prediction across operating conditions. Reliab. Eng. Syst. Saf. 211 (2021)
Qibo Yang, Xiaodong Jia, Xiang Li, Jianshe Feng, Wenzhe Li, Jay Lee
Evaluating Feature Selection and Anomaly Detection Methods of Hard Drive Failure Prediction. IEEE Trans. Reliab. 70 (2) (2021)
Xiang Li, Wei Zhang
Deep Learning-Based Partial Domain Adaptation Method on Intelligent Machinery Fault Diagnostics. IEEE Trans. Ind. Electron. 68 (5) (2021)
Chenggang Wang, Jimmy Dani, Xiang Li, Xiaodong Jia, Boyang Wang
Adaptive Fingerprinting: Website Fingerprinting over Few Encrypted Traffic. CODASPY (2021)
Haoshu Cai, Jianshe Feng, Qibo Yang, Wenzhe Li, Xiang Li, Jay Lee
A virtual metrology method with prediction uncertainty based on Gaussian process for chemical mechanical planarization. Comput. Ind. 119 (2020)
Zhuo Zhang, Wen Jiang, Jie Geng, Xinyang Deng, Xiang Li
Fault Diagnosis Based on Non-Negative Sparse Constrained Deep Neural Networks and Dempster-Shafer Theory. IEEE Access 8 (2020)
Xiang Li, Wei Zhang, Hui Ma, Zhong Luo, Xu Li
Partial transfer learning in machinery cross-domain fault diagnostics using class-weighted adversarial networks. Neural Networks 129 (2020)
Xiang Li, Wei Zhang, Qian Ding, Xu Li
Diagnosing Rotating Machines With Weakly Supervised Data Using Deep Transfer Learning. IEEE Trans. Ind. Informatics 16 (3) (2020)
Xiang Li, Xinmin Fu, Fu-Rui Xiong, Xiaoming Bai
Deep learning-based unsupervised representation clustering methodology for automatic nuclear reactor operating transient identification. Knowl. Based Syst. 204 (2020)
Xiang Li, Wei Zhang, Hui Ma, Zhong Luo, Xu Li
Domain generalization in rotating machinery fault diagnostics using deep neural networks. Neurocomputing 403 (2020)
Xiang Li, Wei Zhang, Hui Ma, Zhong Luo, Xu Li
Data alignments in machinery remaining useful life prediction using deep adversarial neural networks. Knowl. Based Syst. 197 (2020)
Xiang Li, Xiaodong Jia, Qibo Yang, Jay Lee
Quality analysis in metal additive manufacturing with deep learning. J. Intell. Manuf. 31 (8) (2020)
Xiang Li, Wei Zhang, Qian Ding, Jian-Qiao Sun
Intelligent rotating machinery fault diagnosis based on deep learning using data augmentation. J. Intell. Manuf. 31 (2) (2020)
Xiang Li, Wei Zhang, Nan-Xi Xu, Qian Ding
Deep Learning-Based Machinery Fault Diagnostics With Domain Adaptation Across Sensors at Different Places. IEEE Trans. Ind. Electron. 67 (8) (2020)
Xiang Li, Xiao-Dong Jia, Wei Zhang, Hui Ma, Zhong Luo, Xu Li
Intelligent cross-machine fault diagnosis approach with deep auto-encoder and domain adaptation. Neurocomputing 383 (2020)
Xiang Li, Wei Zhang, Qian Ding, Jian-Qiao Sun
Multi-Layer domain adaptation method for rolling bearing fault diagnosis. Signal Process. 157 (2019)
Xiang Li, Jian-Qiao Sun
Multi-objective optimal predictive control of signals in urban traffic network. J. Intell. Transp. Syst. 23 (4) (2019)
Xiang Li, Wei Zhang, Qian Ding
Understanding and improving deep learning-based rolling bearing fault diagnosis with attention mechanism. Signal Process. 161 (2019)
Xiang Li, Wei Zhang, Qian Ding
Cross-Domain Fault Diagnosis of Rolling Element Bearings Using Deep Generative Neural Networks. IEEE Trans. Ind. Electron. 66 (7) (2019)
Xiang Li, Wei Zhang, Qian Ding
Deep learning-based remaining useful life estimation of bearings using multi-scale feature extraction. Reliab. Eng. Syst. Saf. 182 (2019)
Xiang Li, Wei Zhang, Qian Ding
A robust intelligent fault diagnosis method for rolling element bearings based on deep distance metric learning. Neurocomputing 310 (2018)
Xiang Li, Qian Ding, Jian-Qiao Sun
Remaining useful life estimation in prognostics using deep convolution neural networks. Reliab. Eng. Syst. Saf. 172 (2018)
Xiang Li, Jian-Qiao Sun
Signal Multiobjective Optimization for Urban Traffic Network. IEEE Trans. Intell. Transp. Syst. 19 (11) (2018)
Qi Chen, Xiang Li, Zhi-Chang Qin, Shun Zhong, Jian-Qiao Sun
Switching control and time-delay identification. Commun. Nonlinear Sci. Numer. Simul. 19 (12) (2014)