Yu Ding

16 papers Journal 16
YearRankTypeTitle / Venue / Authors
2025 J jnl
Cobb angle prediction for adolescent idiopathic scoliosis via an explainable machine learning model.
Array
Yu Ding, Bin Li, Xiaoyong Guo
2025 J jnl
Quantitative recommendation of fault diagnosis algorithms based on multi-order random graph convolution under case-learning paradigm.
Adv. Eng. Informatics
Chen Lu, Xinyu Zou, Lulu Sun, Zhengduo Zhao, Laifa Tao, Yu Ding, Jian Ma
2024 J jnl
A rail defect detection framework under class-imbalanced conditions based on improved you only look once network.
Eng. Appl. Artif. Intell.
Yu Ding, Qin Zhao, Tianhao Li, Chen Lu, Laifa Tao, Jian Ma
2024 J jnl
An Outline of Prognostics and Health Management Large Model: Concepts, Paradigms, and Challenges.
CoRR
Laifa Tao, Shangyu Li, Haifei Liu, Qixuan Huang, Liang Ma, Guoao Ning, Yiling Chen, Yunlong Wu, Bin Li, Weiwei Zhang, Zhengduo Zhao, Wenchao Zhan, Wenyan Cao, Chao Wang, Hongmei Liu, Jian Ma, Mingliang Suo, Yujie Cheng, Yu Ding, Dengwei Song, Chen Lu
2023 J jnl
An adaptive fault diagnosis framework under class-imbalanced conditions based on contrastive augmented deep reinforcement learning.
Expert Syst. Appl.
Qin Zhao, Yu Ding, Chen Lu, Chao Wang, Liang Ma, Laifa Tao, Jian Ma
2023 J jnl
Conditional probability based multi-objective cooperative task assignment for heterogeneous UAVs.
Eng. Appl. Artif. Intell.
Xiaohua Gao, Lei Wang, Xinyong Yu, Xichao Su, Yu Ding, Chen Lu, Haijun Peng, Xinwei Wang
2022 J jnl
A novel Long-term degradation trends predicting method for Multi-Formulation Li-ion batteries based on deep reinforcement learning.
Adv. Eng. Informatics
Chao Wang, Yu Ding, Ning Yan, Liang Ma, Jian Ma, Chen Lu, Chao Yang, Yuzhuan Su, Jin Chong, Haizu Jin, Yongshou Lin
2022 J jnl
An adversarial model for electromechanical actuator fault diagnosis under nonideal data conditions.
Neural Comput. Appl.
Chao Wang, Laifa Tao, Yu Ding, Chen Lu, Jian Ma
2022 J jnl
Binomial adversarial representation learning for machinery fault feature extraction and diagnosis.
Appl. Soft Comput.
Liang Ma, Yujie Cheng, Yu Ding, Qin Zhao, Zili Wang, Chen Lu
2021 J jnl
An interpretable data augmentation scheme for machine fault diagnosis based on a sparsity-constrained generative adversarial network.
Expert Syst. Appl.
Liang Ma, Yu Ding, Zili Wang, Chao Wang, Jian Ma, Chen Lu
2020 J jnl
Degradation Dynamics Cognition and Prediction of Li-Ion Battery: An Integrated Methodology for Alleviating Range Anxiety.
IEEE Access
Laifa Tao, Tong Zhang, Jie Hao, Xiaolin Wang, Chen Lu, Mingliang Suo, Yu Ding
2020 J jnl
Extension of labeled multiple attribute decision making based on fuzzy neighborhood three-way decision.
Neural Comput. Appl.
Mingliang Suo, Yujie Cheng, Chunqing Zhuang, Yu Ding, Chen Lu, Laifa Tao
2020 J jnl
Single-parameter decision-theoretic rough set.
Inf. Sci.
Mingliang Suo, Laifa Tao, Baolong Zhu, Xuewen Miao, Zhichao Liang, Yu Ding, Xingliu Zhang, Tong Zhang
2019 J jnl
A Generative Adversarial Network-Based Intelligent Fault Diagnosis Method for Rotating Machinery Under Small Sample Size Conditions.
IEEE Access
Yu Ding, Liang Ma, Jian Ma, Chao Wang, Chen Lu
2019 J jnl
Intelligent fault diagnosis for rotating machinery using deep Q-network based health state classification: A deep reinforcement learning approach.
Adv. Eng. Informatics
Yu Ding, Liang Ma, Jian Ma, Mingliang Suo, Laifa Tao, Yujie Cheng, Chen Lu
2018 J jnl
Fault Diagnosis for Hydraulic Servo System Using Compressed Random Subspace Based ReliefF.
Complex.
Yu Ding, Fei Wang, Zhenya Wang, Wenjin Zhang