Fault Diagnosis for Hydraulic Servo System Using Compressed Random Subspace Based ReliefF. - Yu Ding 003; Fei Wang 027; Zhenya Wang; Wenjin Zhang (Complex., 2018)

A Generative Adversarial Network-Based Intelligent Fault Diagnosis Method for Rotating Machinery Under Small Sample Size Conditions. - Yu Ding 003; Liang Ma; Jian Ma 006; Chao Wang; Chen Lu 001 (IEEE Access, 2019)

Intelligent fault diagnosis for rotating machinery using deep Q-network based health state classification: A deep reinforcement learning approach. - Yu Ding 003; Liang Ma; Jian Ma 006; Mingliang Suo; Laifa Tao; Yujie Cheng; Chen Lu 001 (Adv. Eng. Informatics, 2019)

Degradation Dynamics Cognition and Prediction of Li-Ion Battery: An Integrated Methodology for Alleviating Range Anxiety. - Laifa Tao; Tong Zhang; Jie Hao; Xiaolin Wang; Chen Lu 001; Mingliang Suo; Yu Ding 003 (IEEE Access, 2020)

Single-parameter decision-theoretic rough set. - Mingliang Suo; Laifa Tao; Baolong Zhu; Xuewen Miao; Zhichao Liang; Yu Ding 003; Xingliu Zhang; Tong Zhang (Inf. Sci., 2020)

Extension of labeled multiple attribute decision making based on fuzzy neighborhood three-way decision. - Mingliang Suo; Yujie Cheng; Chunqing Zhuang; Yu Ding 003; Chen Lu 001; Laifa Tao (Neural Comput. Appl., 2020)

An interpretable data augmentation scheme for machine fault diagnosis based on a sparsity-constrained generative adversarial network. - Liang Ma; Yu Ding 003; Zili Wang 002; Chao Wang; Jian Ma 006; Chen Lu 001 (Expert Syst. Appl., 2021)

A novel Long-term degradation trends predicting method for Multi-Formulation Li-ion batteries based on deep reinforcement learning. - Chao Wang; Yu Ding 003; Ning Yan; Liang Ma; Jian Ma 006; Chen Lu 001; Chao Yang; Yuzhuan Su; Jin Chong; Haizu Jin; Yongshou Lin (Adv. Eng. Informatics, 2022)

Binomial adversarial representation learning for machinery fault feature extraction and diagnosis. - Liang Ma; Yujie Cheng; Yu Ding 003; Qin Zhao; Zili Wang 002; Chen Lu 001 (Appl. Soft Comput., 2022)

An adversarial model for electromechanical actuator fault diagnosis under nonideal data conditions. - Chao Wang; Laifa Tao; Yu Ding 003; Chen Lu 001; Jian Ma 006 (Neural Comput. Appl., 2022)

Conditional probability based multi-objective cooperative task assignment for heterogeneous UAVs. - Xiaohua Gao; Lei Wang 035; Xinyong Yu; Xichao Su; Yu Ding 003; Chen Lu 001; Haijun Peng; Xinwei Wang (Eng. Appl. Artif. Intell., 2023)

An adaptive fault diagnosis framework under class-imbalanced conditions based on contrastive augmented deep reinforcement learning. - Qin Zhao; Yu Ding 003; Chen Lu 001; Chao Wang; Liang Ma; Laifa Tao; Jian Ma 006 (Expert Syst. Appl., 2023)

An Outline of Prognostics and Health Management Large Model: Concepts, Paradigms, and Challenges. - Laifa Tao; Shangyu Li; Haifei Liu; Qixuan Huang; Liang Ma; Guoao Ning; Yiling Chen; Yunlong Wu; Bin Li; Weiwei Zhang; Zhengduo Zhao; Wenchao Zhan; et al. (CoRR, 2024)

A rail defect detection framework under class-imbalanced conditions based on improved you only look once network. - Yu Ding 003; Qin Zhao; Tianhao Li; Chen Lu 001; Laifa Tao; Jian Ma 006 (Eng. Appl. Artif. Intell., 2024)

Quantitative recommendation of fault diagnosis algorithms based on multi-order random graph convolution under case-learning paradigm. - Chen Lu 001; XinYu Zou; Lulu Sun; Zhengduo Zhao; Laifa Tao; Yu Ding 003; Jian Ma 006 (Adv. Eng. Informatics, 2025)

Cobb angle prediction for adolescent idiopathic scoliosis via an explainable machine learning model. - Yu Ding 003; Bin Li; Xiaoyong Guo (Array, 2025)