Switching control and time-delay identification. - Qi Chen; Xiang Li 018; Zhi-Chang Qin; Shun Zhong; Jian-Qiao Sun (Commun. Nonlinear Sci. Numer. Simul., 2014)

A robust intelligent fault diagnosis method for rolling element bearings based on deep distance metric learning. - Xiang Li 018; Wei Zhang 137; Qian Ding (Neurocomputing, 2018)

Remaining useful life estimation in prognostics using deep convolution neural networks. - Xiang Li 018; Qian Ding; Jian-Qiao Sun (Reliab. Eng. Syst. Saf., 2018)

Signal Multiobjective Optimization for Urban Traffic Network. - Xiang Li 018; Jian-Qiao Sun (IEEE Trans. Intell. Transp. Syst., 2018)

Multi-objective optimal predictive control of signals in urban traffic network. - Xiang Li 018; Jian-Qiao Sun (J. Intell. Transp. Syst., 2019)

Deep learning-based remaining useful life estimation of bearings using multi-scale feature extraction. - Xiang Li 018; Wei Zhang 137; Qian Ding (Reliab. Eng. Syst. Saf., 2019)

Understanding and improving deep learning-based rolling bearing fault diagnosis with attention mechanism. - Xiang Li 018; Wei Zhang 137; Qian Ding (Signal Process., 2019)

Multi-Layer domain adaptation method for rolling bearing fault diagnosis. - Xiang Li 018; Wei Zhang 137; Qian Ding; Jian-Qiao Sun (Signal Process., 2019)

Analysis, Design, and Implementation of Accurate ZVS Angle Control for EV Battery Charging in Wireless High-Power Transfer. - Yongbin Jiang; Laili Wang; Yue Wang 018; Junwen Liu; Xiang Li 018; Gaidi Ning (IEEE Trans. Ind. Electron., 2019)

Cross-Domain Fault Diagnosis of Rolling Element Bearings Using Deep Generative Neural Networks. - Xiang Li 018; Wei Zhang 137; Qian Ding (IEEE Trans. Ind. Electron., 2019)

A Novel Method of Network Security Situation Assessment Based on Evidential Network. - Xiang Li 018; Xinyang Deng; Wen Jiang 002 (ML4CS (1), 2020)

Fault Diagnosis Based on Non-Negative Sparse Constrained Deep Neural Networks and Dempster-Shafer Theory. - Zhuo Zhang 005; Wen Jiang 002; Jie Geng; Xinyang Deng; Xiang Li 018 (IEEE Access, 2020)

A Novel Method of Evidential Network Reasoning Based on the Logical Reasoning Rules and Conflict Measure. - Hengqi Zhang; Xiang Li 018; Xinyang Deng; Wen Jiang 002 (IEEE Access, 2020)

A virtual metrology method with prediction uncertainty based on Gaussian process for chemical mechanical planarization. - Haoshu Cai; Jianshe Feng; Qibo Yang; Wenzhe Li; Xiang Li 018; Jay Lee (Comput. Ind., 2020)

Intelligent cross-machine fault diagnosis approach with deep auto-encoder and domain adaptation. - Xiang Li 018; Xiao-Dong Jia 001; Wei Zhang 137; Hui Ma; Zhong Luo; Xu Li 013 (Neurocomputing, 2020)

Domain generalization in rotating machinery fault diagnostics using deep neural networks. - Xiang Li 018; Wei Zhang 137; Hui Ma; Zhong Luo; Xu Li 013 (Neurocomputing, 2020)

Quality analysis in metal additive manufacturing with deep learning. - Xiang Li 018; Xiaodong Jia 001; Qibo Yang; Jay Lee (J. Intell. Manuf., 2020)

Intelligent rotating machinery fault diagnosis based on deep learning using data augmentation. - Xiang Li 018; Wei Zhang 137; Qian Ding; Jian-Qiao Sun (J. Intell. Manuf., 2020)

Deep learning-based unsupervised representation clustering methodology for automatic nuclear reactor operating transient identification. - Xiang Li 018; Xinmin Fu; Fu-Rui Xiong; Xiaoming Bai (Knowl. Based Syst., 2020)

Data alignments in machinery remaining useful life prediction using deep adversarial neural networks. - Xiang Li 018; Wei Zhang 137; Hui Ma; Zhong Luo; Xu Li 013 (Knowl. Based Syst., 2020)

Partial transfer learning in machinery cross-domain fault diagnostics using class-weighted adversarial networks. - Xiang Li 018; Wei Zhang 137; Hui Ma; Zhong Luo; Xu Li 013 (Neural Networks, 2020)

Deep Learning-Based Machinery Fault Diagnostics With Domain Adaptation Across Sensors at Different Places. - Xiang Li 018; Wei Zhang 137; Nan-Xi Xu; Qian Ding (IEEE Trans. Ind. Electron., 2020)

Diagnosing Rotating Machines With Weakly Supervised Data Using Deep Transfer Learning. - Xiang Li 018; Wei Zhang 137; Qian Ding; Xu Li 013 (IEEE Trans. Ind. Informatics, 2020)

Adaptive Fingerprinting: Website Fingerprinting over Few Encrypted Traffic. - Chenggang Wang; Jimmy Dani; Xiang Li 018; Xiaodong Jia 001; Boyang Wang (CODASPY, 2021)

Federated learning for machinery fault diagnosis with dynamic validation and self-supervision. - Wei Zhang 137; Xiang Li 018; Hui Ma; Zhong Luo; Xu Li 013 (Knowl. Based Syst., 2021)

Transfer learning using deep representation regularization in remaining useful life prediction across operating conditions. - Wei Zhang 137; Xiang Li 018; Hui Ma; Zhong Luo; Xu Li 013 (Reliab. Eng. Syst. Saf., 2021)

Deep Learning-Based Partial Domain Adaptation Method on Intelligent Machinery Fault Diagnostics. - Xiang Li 018; Wei Zhang 137 (IEEE Trans. Ind. Electron., 2021)

Universal Domain Adaptation in Fault Diagnostics With Hybrid Weighted Deep Adversarial Learning. - Wei Zhang 137; Xiang Li 018; Hui Ma; Zhong Luo; Xu Li 013 (IEEE Trans. Ind. Informatics, 2021)

Open-Set Domain Adaptation in Machinery Fault Diagnostics Using Instance-Level Weighted Adversarial Learning. - Wei Zhang 137; Xiang Li 018; Hui Ma; Zhong Luo; Xu Li 013 (IEEE Trans. Ind. Informatics, 2021)

Intelligent Diagnostics for Ball Screw Fault Through Indirect Sensing Using Deep Domain Adaptation. - Vibhor Pandhare; Xiang Li 018; Marcella Miller; Xiaodong Jia 001; Jay Lee (IEEE Trans. Instrum. Meas., 2021)

Evaluating Feature Selection and Anomaly Detection Methods of Hard Drive Failure Prediction. - Qibo Yang; Xiaodong Jia 001; Xiang Li 018; Jianshe Feng; Wenzhe Li; Jay Lee (IEEE Trans. Reliab., 2021)

Response of Urban Park Visitor Behavior to Water Quality in Beijing. - Wen Jiang 002; Yaobin Meng; Yuan Zhang; Jiaxin Wu; Xiang Li 018 (SpatialDI, 2022)

A Novel Transfer Learning Approach in Remaining Useful Life Prediction for Incomplete Dataset. - Shahin Siahpour; Xiang Li 018; Jay Lee (IEEE Trans. Instrum. Meas., 2022)

Degradation Alignment in Remaining Useful Life Prediction Using Deep Cycle-Consistent Learning. - Xiang Li 018; Wei Zhang 137; Hui Ma; Zhong Luo; Xu Li 013 (IEEE Trans. Neural Networks Learn. Syst., 2022)

A Robust Wavelet-integrated Residual Network for Fault Diagnosis of Machines with Adversarial Training. - Xiwei Li; Yaguo Lei; Xiang Li 018; Bin Yang 014 (AIM, 2023)

Non-Contact Machine Vibration Sensing and Fault Diagnosis Method Based on Event Camera. - Ruiyi Guang; Xiang Li 018; Yaguo Lei; Naipeng Li; Bin Yang 014 (SAFEPROCESS, 2023)

Remaining Useful Life Prediction With Partial Sensor Malfunctions Using Deep Adversarial Networks. - Xiang Li 018; Yixiao Xu; Naipeng Li; Bin Yang 014; Yaguo Lei (IEEE CAA J. Autom. Sinica, 2023)

Blockchain-based decentralized federated transfer learning methodology for collaborative machinery fault diagnosis. - Wei Zhang 137; Ziwei Wang; Xiang Li 018 (Reliab. Eng. Syst. Saf., 2023)

Comprehensive Dynamic Structure Graph Neural Network for Aero-Engine Remaining Useful Life Prediction. - Hongfei Wang; Zhuo Zhang 005; Xiang Li 018; Xinyang Deng; Wen Jiang 002 (IEEE Trans. Instrum. Meas., 2023)

Deep Targeted Transfer Learning Along Designable Adaptation Trajectory for Fault Diagnosis Across Different Machines. - Bin Yang 014; Yaguo Lei; Xiang Li 018; Clive Roberts (IEEE Trans. Ind. Electron., 2023)

A graph neural network-based data cleaning method to prevent intelligent fault diagnosis from data contamination. - Shuhui Wang; Yaguo Lei; Bin Yang 014; Xiang Li 018; Yue Shu; Na Lu (Eng. Appl. Artif. Intell., 2023)

KN-RUE: Key Nodes based Resampling Uncertainty Estimation. - Xiang Li 018; Wen Jiang 002; Xinyang Deng; Jie Geng (FUSION, 2024)

Targeted transfer learning through distribution barycenter medium for intelligent fault diagnosis of machines with data decentralization. - Bin Yang 014; Yaguo Lei; Xiang Li 018; Naipeng Li (Expert Syst. Appl., 2024)

Evidence representation of uncertain information on a frame of discernment with semantic association. - Xinyang Deng; Xiang Li 018; Wen Jiang 002 (Inf. Fusion, 2024)

A nonparametric degradation modeling method for remaining useful life prediction with fragment data. - Naipeng Li; Mingyang Wang; Yaguo Lei; Xiaosheng Si; Bin Yang 014; Xiang Li 018 (Reliab. Eng. Syst. Saf., 2024)

CGN: Class gradient network for the construction of adversarial samples. - Xiang Li 018; Haiwang Guo; Xinyang Deng; Wen Jiang 002 (Inf. Sci., 2024)

Intelligent Machinery Fault Diagnosis With Event-Based Camera. - Xiang Li 018; Shupeng Yu; Yaguo Lei; Naipeng Li; Bin Yang 014 (IEEE Trans. Ind. Informatics, 2024)

A deep learning based health index construction method with contrastive learning. - Hongfei Wang; Xiang Li 018; Zhuo Zhang 005; Xinyang Deng; Wen Jiang 002 (Reliab. Eng. Syst. Saf., 2024)

Dynamic Vision Enabled Contactless Cross-Domain Machine Fault Diagnosis with Neuromorphic Computing. - Xinrui Chen; Xiang Li 018; Shupeng Yu; Yaguo Lei; Naipeng Li; Bin Yang 014 (IEEE CAA J. Autom. Sinica, 2024)

Label Recovery and Trajectory Designable Network for Transfer Fault Diagnosis of Machines With Incorrect Annotation. - Bin Yang 014; Yaguo Lei; Xiang Li 018; Naipeng Li; Asoke K. Nandi (IEEE CAA J. Autom. Sinica, 2024)

An Optimal-Subdomain Generalization Method for Remaining Useful Life Prediction of Machinery Under Time-Varying Operation Conditions. - Xiaofei Liu; Yaguo Lei; Naipeng Li; Xiang Li 018; Bin Yang 014 (IEEE Trans. Ind. Informatics, 2024)

VTFR-AT: Adversarial Training With Visual Transformation and Feature Robustness. - Xiang Li 018; Changfei Zhao; Xinyang Deng; Wen Jiang 002 (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Dynamic Vision-Based Machinery Fault Diagnosis with Cross-Modality Feature Alignment. - Xiang Li 018; Shupeng Yu; Yaguo Lei; Naipeng Li; Bin Yang 014 (IEEE CAA J. Autom. Sinica, 2024)

Prediction of Solid Rocket Motor Performance Based on Deep Learning and Ignition Experimental Data. - Huixin Yang; Xu Wang; Shangshang Zheng; Mingze Xu; Xiang Li 018 (IEEE Trans. Aerosp. Electron. Syst., 2024)

Deep learning-enabled turbulence model optimization of solid motor. - Huixin Yang; Pengcheng Yu; Bixuan Lou; Yan Cui; Xiang Li 018 (Adv. Eng. Informatics, 2025)

Denoising diffusion probabilistic model-enabled data augmentation method for intelligent machine fault diagnosis. - Pengcheng Zhao; Wei Zhang 137; Xiaoshan Cao; Xiang Li 018 (Eng. Appl. Artif. Intell., 2025)

Label self-correction intelligent diagnosis method and embedded system for axle box bearings of high-speed trains with noisy labels. - Yaning Li; Yang Gao; Bin Yang 014; Yaguo Lei; Xiang Li 018; Yue Shu; Ke Feng (Neurocomputing, 2025)

Balance recovery and collaborative adaptation approach for federated fault diagnosis of inconsistent machine groups. - Bin Yang 014; Yaguo Lei; Naipeng Li; Xiang Li 018; Xiaosheng Si; Chuanhai Chen (Knowl. Based Syst., 2025)

Remaining useful life prediction of lithium-ion battery with nonparametric degradation modeling and incomplete data. - Naipeng Li; Mingyang Wang; Yaguo Lei; Bin Yang 014; Xiang Li 018; Xiaosheng Si (Reliab. Eng. Syst. Saf., 2025)

A framework for modeling and optimization of mechanical equipment considering maintenance cost and dynamic reliability via deep reinforcement learning. - Jianhui Yuan; Yaguo Lei; Naipeng Li; Bin Yang 014; Xiang Li 018; Zexun Chen; Wei Han (Reliab. Eng. Syst. Saf., 2025)

Self-Data-Driven Intelligent Fault Diagnosis of Gearboxes With Sparse Group Lasso. - Naipeng Li; Xinyu Li; Xiaofei Liu; Xiang Li 018; Bin Yang 014; Yaguo Lei (IEEE Trans. Instrum. Meas., 2025)

Digital Twin Assisted Degradation Assessment of Bearing Cage Performance. - Caizi Fan; Pengfei Wang; Yongchao Zhang 004; Hui Ma; Xiang Li 018; Qibin Wang (IEEE Trans. Ind. Informatics, 2025)

Multimodal Correlation-Aware Fusion Framework for Enhanced Machinery Health Prognosis With Unlabeled and Low-Quality Data Exploitation. - Yuan Wang 011; Yaguo Lei; Naipeng Li; Xiang Li 018; Bin Yang 014 (IEEE Trans. Neural Networks Learn. Syst., 2025)