An enhancement deep feature fusion method for rotating machinery fault diagnosis. - Haidong Shao; Hongkai Jiang; Fuan Wang; Huiwei Zhao (Knowl. Based Syst., 2017)

Unsupervised Feature Learning of Gearbox Fault Using Stacked Wavelet Auto-encoder. - Haidong Shao; Hongkai Jiang (ICPHM, 2018)

Rolling bearing fault detection using continuous deep belief network with locally linear embedding. - Haidong Shao; Hongkai Jiang; Li Xingqiu; Tianchen Liang (Comput. Ind., 2018)

A feature fusion deep belief network method for intelligent fault diagnosis of rotating machinery. - Hongkai Jiang; Haidong Shao; Xinxia Chen; Jiayang Huang (J. Intell. Fuzzy Syst., 2018)

Intelligent fault diagnosis of rolling bearing using deep wavelet auto-encoder with extreme learning machine. - Haidong Shao; Hongkai Jiang; Li Xingqiu; Wu Shuaipeng (Knowl. Based Syst., 2018)

Electric Locomotive Bearing Fault Diagnosis Using a Novel Convolutional Deep Belief Network. - Haidong Shao; Hongkai Jiang; Haizhou Zhang; Tianchen Liang (IEEE Trans. Ind. Electron., 2018)

GSLAM: A General SLAM Framework and Benchmark. - Yong Zhao; Shibiao Xu; Shuhui Bu; Hongkai Jiang; Pengcheng Han (ICCV, 2019)

A Deep Transfer Nonnegativity-Constraint Sparse Autoencoder for Rolling Bearing Fault Diagnosis With Few Labeled Data. - Li Xingqiu; Hongkai Jiang; Ke Zhao; Ruixin Wang (IEEE Access, 2019)

Enhanced deep gated recurrent unit and complex wavelet packet energy moment entropy for early fault prognosis of bearing. - Haidong Shao; Junsheng Cheng; Hongkai Jiang; Yu Yang 009; Wu Zhantao (Knowl. Based Syst., 2020)

A deep transfer maximum classifier discrepancy method for rolling bearing fault diagnosis under few labeled data. - Zhenghong Wu; Hongkai Jiang; Tengfei Lu; Ke Zhao (Knowl. Based Syst., 2020)

Real-Time Orthophoto Mosaicing on Mobile Devices for Sequential Aerial Images with Low Overlap. - Yong Zhao; Yuqi Cheng; Xishan Zhang; Shibiao Xu; Shuhui Bu; Hongkai Jiang; Pengcheng Han; Ke Li 005; Gang Wan (Remote. Sens., 2020)

Svar: A Tiny C++ Header Brings Unified Interface for Multiple programming Languages. - Yong Zhao; Pengcheng Zhao; Shibiao Xu; Lin Chen 042; Pengcheng Han; Shuhui Bu; Hongkai Jiang (CoRR, 2021)

Rolling bearing fault diagnosis using optimal ensemble deep transfer network. - Li Xingqiu; Hongkai Jiang; Ruixin Wang; Maogui Niu (Knowl. Based Syst., 2021)

Joint distribution adaptation network with adversarial learning for rolling bearing fault diagnosis. - Ke Zhao; Hongkai Jiang; Kaibo Wang; Zeyu Pei (Knowl. Based Syst., 2021)

Ensemble adaptive convolutional neural networks with parameter transfer for rotating machinery fault diagnosis. - Ke Zhao; Hongkai Jiang; Li Xingqiu; Ruixin Wang (Int. J. Mach. Learn. Cybern., 2021)

HighStitch: High Altitude Georeferenced Aerial Images Stitching for Rocking Telephoto Lens. - Yong Zhao; Shibiao Xu; Shuhui Bu; Hongkai Jiang; Pengcheng Han (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Fast Georeferenced Aerial Image Stitching With Absolute Rotation Averaging and Planar- Restricted Pose Graph. - Yong Zhao; Guochen Liu; Shibiao Xu; Shuhui Bu; Hongkai Jiang; Gang Wan (IEEE Trans. Geosci. Remote. Sens., 2021)

Imbalanced fault diagnosis of rolling bearing using a deep gradient improved generative adversarial network. - Shaowei Liu; Hongkai Jiang; Zhenghong Wu; Ke Zhao; Xin Wang 129 (ICPHM, 2022)

A Deep Ensemble Learning Model for Rolling Bearing Fault Diagnosis. - Ruixin Wang; Hongkai Jiang; Zhenning Li; Yunpeng Liu (ICPHM, 2022)

A reinforcement ensemble deep transfer learning network for rolling bearing fault diagnosis with Multi-source domains. - Xingqiu Li; Hongkai Jiang; Min Xie; Tongqing Wang; Ruixin Wang; Zhenghong Wu (Adv. Eng. Informatics, 2022)

Machine fault diagnosis with small sample based on variational information constrained generative adversarial network. - Shaowei Liu; Hongkai Jiang; Zhenghong Wu; Yunpeng Liu; Ke Zhu (Adv. Eng. Informatics, 2022)

A deep feature alignment adaptation network for rolling bearing intelligent fault diagnosis. - Shaowei Liu; Hongkai Jiang; Yanfeng Wang; Ke Zhu; Chaoqiang Liu (Adv. Eng. Informatics, 2022)

A deep feature enhanced reinforcement learning method for rolling bearing fault diagnosis. - Ruixin Wang; Hongkai Jiang; Ke Zhu; Yanfeng Wang; Chaoqiang Liu (Adv. Eng. Informatics, 2022)

A Gaussian-guided adversarial adaptation transfer network for rolling bearing fault diagnosis. - Zhenghong Wu; Hongkai Jiang; Shaowei Liu; Chunxia Yang (Adv. Eng. Informatics, 2022)

A novel transfer learning fault diagnosis method based on Manifold Embedded Distribution Alignment with a little labeled data. - Ke Zhao; Hongkai Jiang; Zhenghong Wu; Tengfei Lu (J. Intell. Manuf., 2022)

An integrated deep multiscale feature fusion network for aeroengine remaining useful life prediction with multisensor data. - Xingqiu Li; Hongkai Jiang; Yuan Liu; Tongqing Wang; Zhenning Li (Knowl. Based Syst., 2022)

Data-augmented wavelet capsule generative adversarial network for rolling bearing fault diagnosis. - Yunpeng Liu; Hongkai Jiang; Chaoqiang Liu; Wangfeng Yang; Wei Sun (Knowl. Based Syst., 2022)

A new data generation approach with modified Wasserstein auto-encoder for rotating machinery fault diagnosis with limited fault data. - Ke Zhao; Hongkai Jiang; Chaoqiang Liu; Yanfeng Wang; Ke Zhu (Knowl. Based Syst., 2022)

RTSfM: Real-Time Structure From Motion for Mosaicing and DSM Mapping of Sequential Aerial Images With Low Overlap. - Yong Zhao; Lin Chen 042; Xishan Zhang; Shibiao Xu; Shuhui Bu; Hongkai Jiang; Pengcheng Han; Ke Li 005; Gang Wan (IEEE Trans. Geosci. Remote. Sens., 2022)

Modified Deep Autoencoder Driven by Multisource Parameters for Fault Transfer Prognosis of Aeroengine. - Zhiyi He; Haidong Shao; Ziyang Ding; Hongkai Jiang; Junsheng Cheng (IEEE Trans. Ind. Electron., 2022)

Fault diagnosis of rolling bearing using a transfer ensemble deep reinforcement learning method. - Zhenning Li; Hongkai Jiang; Shaowei Liu; Ruixin Wang (ICPHM, 2023)

Intelligent fault diagnosis of rolling bearing based on a deep transfer learning network. - Zhenghong Wu; Hongkai Jiang; Sicheng Zhang; Xin Wang 129; Haidong Shao; Haoxuan Dou (ICPHM, 2023)

Intelligent fault diagnosis of rotating machinery using a multi-source domain adaptation network with adversarial discrepancy matching. - Shaowei Liu; Hongkai Jiang; Zhenghong Wu; Zichun Yi; Ruixin Wang (Reliab. Eng. Syst. Saf., 2023)

Adaptive variational autoencoding generative adversarial networks for rolling bearing fault diagnosis. - Xin Wang 129; Hongkai Jiang; Zhenghong Wu; Qiao Yang (Adv. Eng. Informatics, 2023)

Conditional distribution-guided adversarial transfer learning network with multi-source domains for rolling bearing fault diagnosis. - Zhenghong Wu; Hongkai Jiang; Shaowei Liu; Yunpeng Liu; Wangfeng Yang (Adv. Eng. Informatics, 2023)

Digital twin-assisted multiscale residual-self-attention feature fusion network for hypersonic flight vehicle fault diagnosis. - Yutong Dong; Hongkai Jiang; Zhenghong Wu; Qiao Yang; Yunpeng Liu (Reliab. Eng. Syst. Saf., 2023)

A dynamic spectrum loss generative adversarial network for intelligent fault diagnosis with imbalanced data. - Xin Wang 129; Hongkai Jiang; Yunpeng Liu; Shaowei Liu; Qiao Yang (Eng. Appl. Artif. Intell., 2023)

Multi-sensor data fusion-enabled lightweight convolutional double regularization contrast transformer for aerospace bearing small samples fault diagnosis. - Yutong Dong; Hongkai Jiang; Mingzhe Mu; Xin Wang 129 (Adv. Eng. Informatics, 2024)

A task-oriented theil index-based meta-learning network with gradient calibration strategy for rotating machinery fault diagnosis with limited samples. - Mingzhe Mu; Hongkai Jiang; Xin Wang 129; Yutong Dong (Adv. Eng. Informatics, 2024)

Dynamic normalization supervised contrastive network with multiscale compound attention mechanism for gearbox imbalanced fault diagnosis. - Yutong Dong; Hongkai Jiang; Wenxin Jiang; Lianbing Xie (Eng. Appl. Artif. Intell., 2024)

Global wavelet-integrated residual frequency attention regularized network for hypersonic flight vehicle fault diagnosis with imbalanced data. - Yutong Dong; Hongkai Jiang; Yunpeng Liu; Zichun Yi (Eng. Appl. Artif. Intell., 2024)

Deep discriminative sparse representation learning for machinery fault diagnosis. - Renhe Yao; Hongkai Jiang; Wenxin Jiang; Yunpeng Liu; Yutong Dong (Eng. Appl. Artif. Intell., 2024)

An interpretable multiscale lifting wavelet contrast network for planetary gearbox fault diagnosis with small samples. - Yutong Dong; Hongkai Jiang; Xin Wang 129; Mingzhe Mu; Wenxin Jiang (Reliab. Eng. Syst. Saf., 2024)

Rolling bearing intelligent fault diagnosis towards variable speed and imbalanced samples using multiscale dynamic supervised contrast learning. - Yutong Dong; Hongkai Jiang; Renhe Yao; Mingzhe Mu; Qiao Yang (Reliab. Eng. Syst. Saf., 2024)

Hypersonic flight vehicle intelligent fault diagnosis with imbalance data. - Yutong Dong; Hongkai Jiang; Zhenning Li (ICPHM, 2025)

Spatio-Temporal Reinforcement Learning for Aero-Engine Remaining Useful Life Prediction. - Yunpeng Liu; Hongkai Jiang; Zhenning Li; Haidong Shao; Ke Zhao; Wenxin Jiang (ICPHM, 2025)

Adaptive model-agnostic meta-learning network for cross-machine fault diagnosis with limited samples. - Mingzhe Mu; Hongkai Jiang; Xin Wang 129; Yutong Dong (Eng. Appl. Artif. Intell., 2025)

Dynamic weighted adversarial domain adaptation network with sparse representation denoising module for rotating machinery fault diagnosis. - Maogui Niu; Hongkai Jiang; Haidong Shao (Eng. Appl. Artif. Intell., 2025)

A convolutional-transformer reinforcement learning agent for rotating machinery fault diagnosis. - Zhenning Li; Hongkai Jiang; Yutong Dong (Expert Syst. Appl., 2025)

AHWCN: An interpretable attention-guided hierarchical wavelet convolutional network for rotating machinery intelligent fault diagnosis. - Tao Zeng; Hongkai Jiang; Yunpeng Liu; Yan Bai (Expert Syst. Appl., 2025)

An interpretable integration fusion time-frequency prototype contrastive learning for machine fault diagnosis with limited labeled samples. - Yutong Dong; Hongkai Jiang; Xin Wang 129; Mingzhe Mu (Inf. Fusion, 2025)

A novel reinforcement learning agent for rotating machinery fault diagnosis with data augmentation. - Zhenning Li; Hongkai Jiang; Xin Wang 129 (Reliab. Eng. Syst. Saf., 2025)

A dynamic collaborative adversarial domain adaptation network for unsupervised rotating machinery fault diagnosis. - Xin Wang 129; Hongkai Jiang; Mingzhe Mu; Yutong Dong (Reliab. Eng. Syst. Saf., 2025)

Deep multi-scale multi-head attention network for aero-engine remaining useful life prediction. - Lianbing Xie; Hongkai Jiang; Yutong Dong; Yunpeng Liu (Appl. Intell., 2025)

An adaptive fused domain-cycling variational generative adversarial network for machine fault diagnosis under data scarcity. - Xin Wang 129; Hongkai Jiang; Tao Zeng; Yutong Dong (Inf. Fusion, 2026)