A Novel Fault Diagnosis Method for Rotating Machinery Based on a Convolutional Neural Network. - Sheng Guo 004; Tao Yang 038; Wei Gao; Chen Zhang 006 (Sensors, 2018)

An Intelligent Fault Diagnosis Method for Bearings with Variable Rotating Speed Based on Pythagorean Spatial Pyramid Pooling CNN. - Sheng Guo 004; Tao Yang 038; Wei Gao; Chen Zhang 006; Yanping Zhang (Sensors, 2018)

Multitask Convolutional Neural Network With Information Fusion for Bearing Fault Diagnosis and Localization. - Sheng Guo 004; Bin Zhang 008; Tao Yang 038; Dongzhen Lyu; Wei Gao (IEEE Trans. Ind. Electron., 2020)

Clustering-Based Contrastive Learning for Fault Diagnosis With Few Labeled Samples. - Yajiao Dai; Zhen Mei; Jun Li 004; Zengxiang Li; Kang Wei; Ming Ding 001; Sheng Guo 004; Wen Chen 001 (IEEE Trans. Instrum. Meas., 2024)

Distributed Reactive Power Optimization for Energy Internet via Multiagent Deep Reinforcement Learning With Graph Attention Networks. - Shaolong Xu; Sheng Guo 004 (IEEE Trans. Ind. Informatics, 2024)

Self-Supervised Learning for Multimodal Fault Diagnosis With Shapley-Value Weighted Transformers. - Yajiao Dai; Jun Li 004; Zhen Mei; Yiyang Ni; Sheng Guo 004; Zengxiang Li (IEEE Trans. Instrum. Meas., 2025)

Heterogeneous Federated Learning Framework for IIoT Based on Selective Knowledge Distillation. - Sheng Guo 004; Hui Chen; Yang Liu 165; Chengyi Yang; Zengxiang Li; Cheng Hao Jin (IEEE Trans. Ind. Informatics, 2025)

Semi-Supervised Federated Learning via Dual Contrastive Learning and Soft Labeling for Intelligent Fault Diagnosis. - Yajiao Dai; Jun Li 004; Zhen Mei; Yiyang Ni; Shi Jin 002; Zengxiang Li; Sheng Guo 004; Wei Xiang 001 (CoRR, 2025)