A novel intelligent method for bearing fault diagnosis based on affinity propagation clustering and adaptive feature selection. - Zexian Wei; Yanxue Wang; Shuilong He; Jiading Bao (Knowl. Based Syst., 2017)

Control of steering wheel idle jitter based on optimization of engine suspension system with verifications using multi-sensor measurement. - Shuilong He; Binqiang Chen; Zhansi Jiang; Yanxue Wang; Fuyun Liu (Int. J. Distributed Sens. Networks, 2018)

An Adversarial Learning Framework for Zero-shot Fault Recognition of Mechanical Systems. - Jinglong Chen; Tongyang Pan; Zitong Zhou; Shuilong He (INDIN, 2019)

Detection and Location of Stator Winding Interturn Fault at Different Slots of DFIG. - Shuilong He; Xuhong Shen; Zhansi Jiang (IEEE Access, 2019)

A Multi-Point Iterative Analysis Method for Vibration Control of a Steering Wheel at Idle Speed. - Shuilong He; Tao Tang; Mingsong Ye; Enyong Xu; Zhansi Jiang (IEEE Access, 2019)

A Novel Deep Learning Network via Multiscale Inner Product With Locally Connected Feature Extraction for Intelligent Fault Detection. - Tongyang Pan; Jinglong Chen; Zitong Zhou; Changlei Wang; Shuilong He (IEEE Trans. Ind. Informatics, 2019)

Ride Comfort Analysis and Multivariable Co-Optimization of the Commercial Vehicle Based on an Improved Nonlinear Model. - Keren Chen; Shuilong He; Enyong Xu; Weiguang Zheng; Rongjiang Tang (IEEE Access, 2020)

Social Media Users Send Promotional Links to Strangers: Legitimate Promotion or Security Vulnerability? - Hongzhou Yue; Shuilong He; Zhenghui Liu (IEEE Access, 2020)

A multi-criteria adaptive sequential sampling method for radial basis function. - Haiyang Hu; Zhansi Jiang; Yanxue Wang; Shuilong He (Int. J. Comput. Sci. Math., 2020)

A classification method to detect faults in a rotating machinery based on kernelled support tensor machine and multilinear principal component analysis. - Chaofan Hu; Shuilong He; Yanxue Wang (Appl. Intell., 2021)

Research on Safety Evaluation of Commercial Vehicle Driving Behavior Based on Data Mining Technology. - Shuilong He; Yongliang Wang; Yuye Chen; Fei Xiao; Jucai Deng; Enyong Xu (J. Sensors, 2021)

Tensor Transfer Learning for Intelligence Fault Diagnosis of Bearing with Semisupervised Partial Label Learning. - Chaofan Hu; Zhichao Zhou; Biao Wang; Weiguang Zheng; Shuilong He (J. Sensors, 2021)

Similarity-based meta-learning network with adversarial domain adaptation for cross-domain fault identification. - Yong Feng; Jinglong Chen; Zhuozheng Yang; Xiaogang Song; Yuanhong Chang; Shuilong He; Enyong Xu; Zitong Zhou (Knowl. Based Syst., 2021)

Intelligent fault diagnosis under small sample size conditions via Bidirectional InfoMax GAN with unsupervised representation learning. - Shen Liu; Jinglong Chen; Shuilong He; Enyong Xu; Haixin Lv; Zitong Zhou (Knowl. Based Syst., 2021)

Sizing of the Propulsion System for a Heavy-Duty Fuel Cell Commercial Vehicle. - Weiguang Zheng; Weiwei Xin; Enyong Xu; Shuilong He; Jirong Qin; Heng Wang (Sci. Program., 2021)

A Small Sample Focused Intelligent Fault Diagnosis Scheme of Machines via Multimodules Learning With Gradient Penalized Generative Adversarial Networks. - Tianci Zhang; Jinglong Chen; Fudong Li 005; Tongyang Pan; Shuilong He (IEEE Trans. Ind. Electron., 2021)

Deep Feature Generating Network: A New Method for Intelligent Fault Detection of Mechanical Systems Under Class Imbalance. - Tongyang Pan; Jinglong Chen; Jingsong Xie; Zitong Zhou; Shuilong He (IEEE Trans. Ind. Informatics, 2021)

Layer Regeneration Network With Parameter Transfer and Knowledge Distillation for Intelligent Fault Diagnosis of Bearing Using Class Unbalanced Sample. - Fudong Li 002; Jinglong Chen; Shuilong He; Zitong Zhou (IEEE Trans. Instrum. Meas., 2021)

QSCGAN: An Un-Supervised Quick Self-Attention Convolutional GAN for LRE Bearing Fault Diagnosis Under Limited Label-Lacked Data. - Wenqing Wan; Shuilong He; Jinglong Chen; Aimin Li; Yong Feng (IEEE Trans. Instrum. Meas., 2021)

Prototype augmented network with metric-mixed under limited samples for mechanical intelligent fault recognition. - Rujie Hou; Jinglong Chen; Shuilong He; Fudong Li 002; Zitong Zhou (Appl. Soft Comput., 2022)

Intelligent Fault Quantitative Identification for Industrial Internet of Things (IIoT) via a Novel Deep Dual Reinforcement Learning Model Accompanied With Insufficient Samples. - Yuanhong Chang; Jinglong Chen; Wenyang Wu; Tongyang Pan; Zitong Zhou; Shuilong He (IEEE Internet Things J., 2022)

Temporal convolution-based sorting feature repeat-explore network combining with multi-band information for remaining useful life estimation of equipment. - Yuanhong Chang; Jinglong Chen; Yulang Liu; Enyong Xu; Shuilong He (Knowl. Based Syst., 2022)

High-temperature augmented neighborhood metric learning for cross-domain fault diagnosis with imbalanced data. - Yaqi Duan; Jinglong Chen; Tianci Zhang; Shuilong He; Yong Feng; Jingsong Xie; Wenrong Xiao (Knowl. Based Syst., 2022)

Cross-domain intelligent bearing fault diagnosis under class imbalanced samples via transfer residual network augmented with explicit weight self-assignment strategy based on meta data. - Xuan Liu; Jinglong Chen; Kaiyu Zhang; Shen Liu; Shuilong He; Zitong Zhou (Knowl. Based Syst., 2022)

A multi-module generative adversarial network augmented with adaptive decoupling strategy for intelligent fault diagnosis of machines with small sample. - Kaiyu Zhang; Qiang Chen; Jinglong Chen; Shuilong He; Fudong Li 002; Zitong Zhou (Knowl. Based Syst., 2022)

Prior Knowledge-Augmented Self-Supervised Feature Learning for Few-Shot Intelligent Fault Diagnosis of Machines. - Tianci Zhang; Jinglong Chen; Shuilong He; Zitong Zhou (IEEE Trans. Ind. Electron., 2022)

Similarity Metric-Based Metalearning Network Combining Prior Metatraining Strategy for Intelligent Fault Detection Under Small Samples Prerequisite. - Yuanhong Chang; Jinglong Chen; Shuilong He; Tongyang Pan (IEEE Trans. Instrum. Meas., 2022)

A Dual-Guided Adaptive Decomposition Method of Fault Information and Fault Sensitivity for Multi-Component Fault Diagnosis Under Varying Speeds. - Zhen Shi; Shuilong He; Jinglong Chen; Yanyang Zi (IEEE Trans. Instrum. Meas., 2022)

Toward Small Sample Challenge in Intelligent Fault Diagnosis: Attention-Weighted Multidepth Feature Fusion Net With Signals Augmentation. - Tianci Zhang; Shuilong He; Jinglong Chen; Tongyang Pan; Zitong Zhou (IEEE Trans. Instrum. Meas., 2022)

Intelligent Fault Quantitative Identification via the Improved Deep Deterministic Policy Gradient (DDPG) Algorithm Accompanied With Imbalanced Sample. - Qianwen Cui; Liangyu Zhu; Huanqin Feng; Shuilong He; Jinglong Chen (IEEE Trans. Instrum. Meas., 2023)

A Position-Free Signal Transformer via Multiband Inner Relationship Extraction for Understanding Information Flow of Machinery Diagnosis. - Haixin Lv; Jinglong Chen; Shuilong He; Zitong Zhou (IEEE Trans. Instrum. Meas., 2023)

Globally Localized Multisource Domain Adaptation for Cross-Domain Fault Diagnosis With Category Shift. - Yong Feng; Jinglong Chen; Shuilong He; Tongyang Pan; Zitong Zhou (IEEE Trans. Neural Networks Learn. Syst., 2023)

An asymmetrical graph Siamese network for one-classanomaly detection of engine equipment with multi-source fusion. - Weicheng Wang; Jinglong Chen; Tianci Zhang; Zijun Liu; Jun Wang 103; Xinwei Zhang; Shuilong He (Reliab. Eng. Syst. Saf., 2023)

ABC: Aligning binary centers for single-stage monocular 3D object detection. - Yong Feng; Jinglong Chen; Shuilong He; Enyong Xu (Image Vis. Comput., 2023)

Enhancing equipment safeguarding in IIoT: A self-supervised fault diagnosis paradigm based on asymmetric graph autoencoder. - Zhuohang Chen; Shen Liu; Chao Li; Yuanhong Chang; Jinglong Chen; Gaoshan Feng; Shuilong He (Knowl. Based Syst., 2024)

An unsupervised spatiotemporal fusion network augmented with random mask and time-relative information modulation for anomaly detection of machines with multiple measuring points. - Kaiyu Zhang; Jinglong Chen; Chi-Guhn Lee; Shuilong He (Expert Syst. Appl., 2024)

A distributed training method with intergenerational accumulation and cross-node random drop for mechanical fault diagnosis. - Zongliang Xie; Kaiyu Zhang; Jinglong Chen; Chi-Guhn Lee; Shuilong He (Appl. Soft Comput., 2025)

A two-stage graph spatiotemporal model with domain-class alignment for fault diagnosis under multi-source long-tailed distributions. - Qianwen Cui; Shuilong He; Jinglong Chen; Chao Li; Chaofan Hu (Knowl. Based Syst., 2025)

Representations aligned counterfactual domain learning for open-set fault diagnosis under speed transient conditions. - Shen Liu; Jinglong Chen; Zhen Shi; Liuyang Song; Shuilong He (Knowl. Based Syst., 2025)

Pseudo-label assisted contrastive learning model for unsupervised open-set domain adaptation in fault diagnosis. - Weicheng Wang; Chao Li; Zhipeng Zhang; Jinglong Chen; Shuilong He; Yong Feng (Reliab. Eng. Syst. Saf., 2025)

FOS-YOLO: Multiscale Context Aggregation With Attention-Driven Modulation for Efficient Target Detection in Complex Environments. - Shuilong He; Wei Yu; Tao Tang; Shanchao Wang; Chao Li; Enyong Xu (IEEE Trans. Instrum. Meas., 2025)