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)

Snorkel DryBell: A Case Study in Deploying Weak Supervision at Industrial Scale. - Stephen H. Bach; Daniel Rodriguez; Yintao Liu; Chong Luo; Haidong Shao; Cassandra Xia; Souvik Sen; Alexander Ratner; Braden Hancock; Houman Alborzi; Rahul Kuchhal; Christopher Ré; et al. (SIGMOD Conference, 2019)

Improved Deep Transfer Auto-Encoder for Fault Diagnosis of Gearbox Under Variable Working Conditions With Small Training Samples. - Zhiyi He; Haidong Shao; Xiaoyang Zhang; Junsheng Cheng; Yu Yang 009 (IEEE Access, 2019)

An intelligent fault diagnosis method for rotor-bearing system using small labeled infrared thermal images and enhanced CNN transferred from CAE. - Zhiyi He; Haidong Shao; Xiang Zhong; Yu Yang 009; Junsheng Cheng (Adv. Eng. Informatics, 2020)

Deep transfer multi-wavelet auto-encoder for intelligent fault diagnosis of gearbox with few target training samples. - Zhiyi He; Haidong Shao; Ping Wang; Janet (Jing) Lin; Junsheng Cheng; Yu Yang 009 (Knowl. Based Syst., 2020)

Ensemble transfer CNNs driven by multi-channel signals for fault diagnosis of rotating machinery cross working conditions. - Zhiyi He; Haidong Shao; Xiang Zhong; Xianzhu Zhao (Knowl. Based Syst., 2020)

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)

Intelligent Fault Diagnosis of Rolling Bearing Using Adaptive Deep Gated Recurrent Unit. - Ke Zhao; Haidong Shao (Neural Process. Lett., 2020)

Unsupervised Domain-shared Convolutional Neural Network for Bearing Fault Transfer Diagnosis. - Hongru Cao; Haidong Shao; Min Xia 003; Wenlong Luo; Feng Zhu; Dehua Su (ICCSE, 2021)

Rotating Machinery Fault Classification using IWGAN-GP and Small Gray Images. - Haidong Shao; Wei Li 191; Min Xia 003; Chengxu Wang; Qinglin Guan; Tian'ao Xu (ICCSE, 2021)

A novel approach of multisensory fusion to collaborative fault diagnosis in maintenance. - Haidong Shao; Jing Lin 003; Liangwei Zhang; Diego Galar; Uday Kumar (Inf. Fusion, 2021)

Multi-sensor gearbox fault diagnosis by using feature-fusion covariance matrix and multi-Riemannian kernel ridge regression. - Xin Li 095; Xiang Zhong; Haidong Shao; Te Han; Changqing Shen (Reliab. Eng. Syst. Saf., 2021)

Intelligent fault diagnosis of machinery using digital twin-assisted deep transfer learning. - Min Xia 001; Haidong Shao; Darren Williams; Siliang Lu; Lei Shu 001; Clarence W. de Silva (Reliab. Eng. Syst. Saf., 2021)

End-to-end unsupervised fault detection using a flow-based model. - Liangwei Zhang; Jing Lin 003; Haidong Shao; Zhicong Zhang; Xiaohui Yan; Jianyu Long (Reliab. Eng. Syst. Saf., 2021)

Intelligent Fault Diagnosis of Rotor-Bearing System Under Varying Working Conditions With Modified Transfer Convolutional Neural Network and Thermal Images. - Haidong Shao; Min Xia 001; Guangjie Han; Yu Zhang 001; Jiafu Wan (IEEE Trans. Ind. Informatics, 2021)

A Stacked GRU-RNN-Based Approach for Predicting Renewable Energy and Electricity Load for Smart Grid Operation. - Min Xia 001; Haidong Shao; Xiandong Ma; Clarence W. de Silva (IEEE Trans. Ind. Informatics, 2021)

Fault Diagnosis of a Rotor-Bearing System Under Variable Rotating Speeds Using Two-Stage Parameter Transfer and Infrared Thermal Images. - Haidong Shao; Wei Li 191; Min Xia 001; Yu Zhang 001; Changqing Shen; Darren Williams; Andrew Kennedy; Clarence W. de Silva (IEEE Trans. Instrum. Meas., 2021)

Maximum margin Riemannian manifold-based hyperdisk for fault diagnosis of roller bearing with multi-channel fusion covariance matrix. - Xin Li 095; Yu Yang 009; Niaoqing Hu; Zhe Cheng 001; Haidong Shao; Junsheng Cheng (Adv. Eng. Informatics, 2022)

Multi-mode data augmentation and fault diagnosis of rotating machinery using modified ACGAN designed with new framework. - Wei Li 191; Xiang Zhong; Haidong Shao; Baoping Cai; Xingkai Yang (Adv. Eng. Informatics, 2022)

Semi-supervised fault diagnosis of machinery using LPS-DGAT under speed fluctuation and extremely low labeled rates. - Shen Yan 001; Haidong Shao; Yiming Xiao; Jian Zhou; Yuandong Xu; Jiafu Wan (Adv. Eng. Informatics, 2022)

Cross-domain fault diagnosis of bearing using improved semi-supervised meta-learning towards interference of out-of-distribution samples. - Jian Lin; Haidong Shao; Zhishan Min; Jingjie Luo; Yiming Xiao; Shen Yan 001; Jian Zhou (Knowl. Based Syst., 2022)

Parallel service mode of production and inventory for spare part inventory optimization. - Like Zhang; Qianwang Deng; Bingxin Miao; Xiaoyan Liu; Haidong Shao (Knowl. Based Syst., 2022)

High-accuracy gearbox health state recognition based on graph sparse random vector functional link network. - Xin Li 095; Yu Yang 009; Wu Zhantao; Ke Yan 001; Haidong Shao; Junsheng Cheng (Reliab. Eng. Syst. Saf., 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)

Ramanujan Fourier Mode Decomposition and Its Application in Gear Fault Diagnosis. - Jian Cheng; Yu Yang 009; Wu Zhantao; Haidong Shao; Haiyang Pan; Junsheng Cheng (IEEE Trans. Ind. Informatics, 2022)

A Fusion CWSMM-Based Framework for Rotating Machinery Fault Diagnosis Under Strong Interference and Imbalanced Case. - Xin Li 095; Jian Cheng; Haidong Shao; Kan Liu 002; Baoping Cai (IEEE Trans. Ind. Informatics, 2022)

Motor Fault Diagnosis Based on Scale Invariant Image Features. - Zhuo Long; Xiaofei Zhang; Min He; Shoudao Huang; Guojun Qin; Dianyi Song; Yao Tang; Gongping Wu; Weizhi Liang; Haidong Shao (IEEE Trans. Ind. Informatics, 2022)

Graph Cardinality Preserved Attention Network for Fault Diagnosis of Induction Motor Under Varying Speed and Load Condition. - Yao Tang; Xiaofei Zhang; Guojun Qin; Zhuo Long; Shoudao Huang; Dianyi Song; Haidong Shao (IEEE Trans. Ind. Informatics, 2022)

Intelligent Process Monitoring of Laser-Induced Graphene Production With Deep Transfer Learning. - Min Xia 001; Haidong Shao; Zheng Huang; Zhe Zhao; Feilong Jiang; Yaowu Hu (IEEE Trans. Instrum. Meas., 2022)

Highly Efficient Fault Diagnosis of Rotating Machinery Under Time-Varying Speeds Using LSISMM and Small Infrared Thermal Images. - Xin Li 095; Haidong Shao; Siliang Lu; Jiawei Xiang; Baoping Cai (IEEE Trans. Syst. Man Cybern. Syst., 2022)

A Fault Detection Method for Railway Turnout with Convex Hull-based One-Class Tensor Machine. - Chen Chen; Haidong Shao; Zhongwei Xu; Kai Huang 009; Qiaochuan Chen; Meng Mei (I2MTC, 2023)

A support tensor machine-based fault diagnosis method for railway turnout. - Chen Chen; Meng Mei; Haidong Shao; Pei Liang (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)

Hybrid robust convolutional autoencoder for unsupervised anomaly detection of machine tools under noises. - Shen Yan 001; Haidong Shao; Yiming Xiao; Bin Liu 025; Jiafu Wan (Robotics Comput. Integr. Manuf., 2023)

Intelligent fault diagnosis of bevel gearboxes using semi-supervised probability support matrix machine and infrared imaging. - Xin Li 095; Yong Li; Ke Yan 001; Haidong Shao; Janet (Jing) Lin (Reliab. Eng. Syst. Saf., 2023)

Intelligent Health Assessment of Aviation Bearing Based on Deep Transfer Graph Convolutional Networks under Large Speed Fluctuations. - Xiaoli Zhao; Xingjun Zhu; Jianyong Yao; Wenxiang Deng; Yudong Cao; Peng Ding 002; Minping Jia; Haidong Shao (Sensors, 2023)

Dual-Threshold Attention-Guided GAN and Limited Infrared Thermal Images for Rotating Machinery Fault Diagnosis Under Speed Fluctuation. - Haidong Shao; Wei Li 191; Baoping Cai; Jiafu Wan; Yiming Xiao; Shen Yan 001 (IEEE Trans. Ind. Informatics, 2023)

Decision Self-Regulating Network for Imbalanced Working Conditions Identification in the Application of Gearbox Intelligent Fault Diagnosis. - Minmin Xu; Yaoyao Han; Xiaoxi Ding; Haidong Shao; Yimin Shao (IEEE Trans. Instrum. Meas., 2023)

An Adaptive Domain Adaptation Method for Rolling Bearings' Fault Diagnosis Fusing Deep Convolution and Self-Attention Networks. - Xiao Yu; Youjie Wang; Zhongting Liang; Haidong Shao; Kun Yu 003; Wanli Yu (IEEE Trans. Instrum. Meas., 2023)

Novel motor fault detection scheme based on one-class tensor hyperdisk. - Zhiyi He; Yuting Zeng; Haidong Shao; Hongwei Hu; Xiaoqiang Xu (Knowl. Based Syst., 2023)

A novel conditional weighting transfer Wasserstein auto-encoder for rolling bearing fault diagnosis with multi-source domains. - Ke Zhao; Feng Jia; Haidong Shao (Knowl. Based Syst., 2023)

Multi-scale integrated deep self-attention network for predicting remaining useful life of aero-engine. - Ke Zhao; Zhen Jia; Feng Jia; Haidong Shao (Eng. Appl. Artif. Intell., 2023)

FGDAE: A new machinery anomaly detection method towards complex operating conditions. - Shen Yan 001; Haidong Shao; Zhishan Min; Jiangji Peng; Baoping Cai; Bin Liu 025 (Reliab. Eng. Syst. Saf., 2023)

Federated multi-source domain adversarial adaptation framework for machinery fault diagnosis with data privacy. - Ke Zhao; Junchen Hu; Haidong Shao; Jiabei Hu (Reliab. Eng. Syst. Saf., 2023)

A new framework for intelligent fault diagnosis of spiral bevel gears with unbalanced data. - Angang Wei; Songyu Han; Wei Li; Haidong Shao; Xingkai Yang (Appl. Intell., 2023)

Data Augmentation and Intelligent Fault Diagnosis of Planetary Gearbox Using ILoFGAN Under Extremely Limited Samples. - Mingzhi Chen 002; Haidong Shao; Haoxuan Dou; Wei Li 191; Bin Liu 025 (IEEE Trans. Reliab., 2023)

Attention-aware temporal-spatial graph neural network with multi-sensor information fusion for fault diagnosis. - Zhe Wang 035; Zhiying Wu; Xingqiu Li; Haidong Shao; Te Han; Min Xie 001 (Knowl. Based Syst., 2023)

C-ECAFormer: A new lightweight fault diagnosis framework towards heavy noise and small samples. - Jie Wang 160; Haidong Shao; Shen Yan 001; Bin Liu 025 (Eng. Appl. Artif. Intell., 2023)

Generalized MAML for few-shot cross-domain fault diagnosis of bearing driven by heterogeneous signals. - Jian Lin; Haidong Shao; Xiangdong Zhou; Baoping Cai; Bin Liu 025 (Expert Syst. Appl., 2023)

Machinery cross domain degradation prognostics considering compound domain shifts. - Peng Ding 002; Xiaoli Zhao; Haidong Shao; Minping Jia (Reliab. Eng. Syst. Saf., 2023)

Digital twin-assisted imbalanced fault diagnosis framework using subdomain adaptive mechanism and margin-aware regularization. - Shen Yan 001; Xiang Zhong; Haidong Shao; Yuhang Ming 002; Chao Liu 031; Bin Liu 025 (Reliab. Eng. Syst. Saf., 2023)

Automated fault diagnosis of rotating machinery using sub domain greedy Network Architecture search. - Yanzuo Lai; Haidong Shao; Xinyu Zheng; Baoping Cai; Bin Liu 025 (Adv. Eng. Informatics, 2024)

SFDA-T: A novel source-free domain adaptation method with strong generalization ability for fault diagnosis. - Jie Wang 160; Haidong Shao; Yiming Xiao; Bin Liu 025 (Adv. Eng. Informatics, 2024)

A multi-sensor fused incremental broad learning with D-S theory for online fault diagnosis of rotating machinery. - Xuefang Xu; Shuo Bao; Haidong Shao; Peiming Shi (Adv. Eng. Informatics, 2024)

Multiscale information enhanced spatial-temporal graph convolutional network for multivariate traffic flow forecasting via magnifying perceptual scope. - Xinyu Zheng; Haidong Shao; Shen Yan; Yiming Xiao; Bin Liu (Eng. Appl. Artif. Intell., 2024)

Reinforced fuzzy domain adaptation: Revolutionizing data-unaccessible rotating machinery fault diagnosis across multiple domains. - Zongkai Liu; Ke Zhao; Haidong Shao; Jie Chen; Yifan Wan (Expert Syst. Appl., 2024)

Utilizing Bayesian generalization network for reliable fault diagnosis of machinery with limited data. - Minjie Feng; Haidong Shao; Minghui Shao; Yiming Xiao; Jie Wang 160; Bin Liu 025 (Knowl. Based Syst., 2024)

An adaptive model with dual-dimensional attention for remaining useful life prediction of aero-engine. - Fanfan Gan; Haidong Shao; Baizhan Xia (Knowl. Based Syst., 2024)

Transfer graph feature alignment guided multi-source domain adaptation network for machinery fault diagnosis. - Zhengwu Liu; Xiang Zhong; Haidong Shao; Shen Yan 001; Bin Liu 025 (Knowl. Based Syst., 2024)

Rolling Bearing Fault Diagnosis Under Data Imbalance and Variable Speed Based on Adaptive Clustering Weighted Oversampling. - Sai Li; Yanfeng Peng; Yiping Shen; Sibo Zhao; Haidong Shao; Guangfu Bin; Yong Guo; Xingkai Yang; Chao Fan (Reliab. Eng. Syst. Saf., 2024)

Meta-learning with elastic prototypical network for fault transfer diagnosis of bearings under unstable speeds. - Jingjie Luo; Haidong Shao; Jian Lin; Bin Liu 025 (Reliab. Eng. Syst. Saf., 2024)

Multi-source domain self-supervised enhanced transfer fault diagnosis approach with source sample refinement strategy. - Xinyu Ren; Wanli Zhao 001; Mengmeng Liu; Suixin Wang; Haidong Shao; Ke Zhao (Reliab. Eng. Syst. Saf., 2024)

A holistic semi-supervised method for imbalanced fault diagnosis of rotational machinery with out-of-distribution samples. - Zhangjun Wu; Renli Xu; Yuansheng Luo; Haidong Shao (Reliab. Eng. Syst. Saf., 2024)

Unified Diagnostic and Matching Framework of Fault and Quality for Robotic Grinding System. - Wenbin He; Jianxu Mao; Yaonan Wang 001; Zhe Li 050; He Xie; Haidong Shao; Xingwei Zhao (IEEE Trans. Instrum. Meas., 2024)

A Semi-Supervised Matrixized Graph Embedding Machine for Roller Bearing Fault Diagnosis Under Few-Labeled Samples. - Haiyang Pan; Haifeng Xu; Jinde Zheng; Haidong Shao; Jinyu Tong (IEEE Trans. Ind. Informatics, 2024)

Multi-source weighted source-free domain transfer method for rotating machinery fault diagnosis. - Qinhe Gao; Tong Huang; Ke Zhao; Haidong Shao; Bo Jin (Expert Syst. Appl., 2024)

rgfc-Forest: An enhanced deep forest method towards small-sample fault diagnosis of electromechanical system. - Yuhang Ming 002; Haidong Shao; Baoping Cai; Bin Liu 025 (Expert Syst. Appl., 2024)

Industrial surface defect detection and localization using multi-scale information focusing and enhancement GANomaly. - Jiangji Peng; Haidong Shao; Yiming Xiao; Baoping Cai; Bin Liu 025 (Expert Syst. Appl., 2024)

LiConvFormer: A lightweight fault diagnosis framework using separable multiscale convolution and broadcast self-attention. - Shen Yan 001; Haidong Shao; Jie Wang 160; Xinyu Zheng; Bin Liu 025 (Expert Syst. Appl., 2024)

Class-Aware Adversarial Multiwavelet Convolutional Neural Network for Cross-Domain Fault Diagnosis. - Ke Zhao; Zhenbao Liu; Bo Zhao 026; Haidong Shao (IEEE Trans. Ind. Informatics, 2024)

BCE-FL: A Secure and Privacy-Preserving Federated Learning System for Device Fault Diagnosis Under Non-IID Condition in IIoT. - Yiming Xiao; Haidong Shao; Jian Lin; Zhiqiang Huo; Bin Liu 025 (IEEE Internet Things J., 2024)

Slice-Oriented Signal Probability Distribution Measure for Wind Turbine Generator Bearing Condition Monitoring Under Variable Speed Conditions. - Guangyao Zhang; Yi Wang 043; Liang Guo 001; Yi Qin 004; Baoping Tang; Haidong Shao (IEEE Trans. Ind. Informatics, 2024)

Few-Shot Cross-Domain Fault Diagnosis of Bearing Driven by Task-Supervised ANIL. - Haidong Shao; Xiangdong Zhou; Jian Lin; Bin Liu 025 (IEEE Internet Things J., 2024)

PSparseFormer: Enhancing Fault Feature Extraction Based on Parallel Sparse Self-Attention and Multiscale Broadcast Feedforward Block. - Jie Wang 160; Haidong Shao; Ying Peng; Bin Liu 025 (IEEE Internet Things J., 2024)

Wave-ConvNeXt: An Efficient and Precise Fault Diagnosis Method for IIoT Leveraging Tailored ConvNeXt and Wavelet Transform. - Liangwei Zhang; Jing Lin 003; Zhe Yang 014; Haidong Shao; Biyu Liu; Chuan Li 003 (IEEE Internet Things J., 2024)

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)

Graph structure learning guided multi-source-free domain adaptation for mechanical fault diagnosis. - Zhengwu Liu; Xiang Zhong; Haidong Shao; Bin Liu 025 (Adv. Eng. Informatics, 2025)

Universal federated domain adaptation for gearbox fault diagnosis: A robust framework for credible pseudo-label generation. - Xinyu Ren; Suixin Wang; Wanli Zhao 001; Xiangxing Kong; Manyi Fan; Haidong Shao; Ke Zhao (Adv. Eng. Informatics, 2025)

A novel method for variable-speed mechanical fault diagnosis using sparse threshold graph and adaptive loss weighting. - Haidong Shao; Yi Gao; Hongyi Qu; Jiafu Wan; Bin Liu (Adv. Eng. Informatics, 2025)

SAFS-Net: A novel health indicator extraction and fault early warning method for machinery. - Minghui Shao; Haidong Shao; Minjie Feng; Shen Yan 001; Bin Liu 025 (Adv. Eng. Informatics, 2025)

Collaborative human-computer fault diagnosis via calibrated confidence estimation. - Haidong Shao; Yiming Xiao; Jiewu Leng; Xiaoli Zhao; Bin Liu (Adv. Eng. Informatics, 2025)

Domain generalization for rotating machinery fault diagnosis: A survey. - Yiming Xiao; Haidong Shao; Shen Yan 001; Jie Wang 160; Ying Peng; Bin Liu 025 (Adv. Eng. Informatics, 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)

Uncertainty-aware deep variational attention network: A trustworthy mechanical fault diagnostic model assisted by out-of-distribution detection. - Yiming Xiao; Haidong Shao; Haomiao Zhang; Rongming Wei; Bin Liu (Eng. Appl. Artif. Intell., 2025)

Compact-sparse prototype calibration network for few-shot continual fault diagnosis of rotating machinery. - Shen Yan; Haidong Shao; Xinyi Wang; Haomiao Zhang; Yiming Xiao; Bin Liu (Eng. Appl. Artif. Intell., 2025)

Domain-augmented meta ensemble learning for mechanical fault diagnosis from heterogeneous source domains to unseen target domains. - Yiming Xiao; Haidong Shao; Jie Wang 160; Baoping Cai; Bin Liu 025 (Expert Syst. Appl., 2025)

The PSQSgram: A new adaptive multi-channel periodic pulse extraction method for bearing fault diagnosis. - Jie Zhou; Kehan Ge; Yiping Shen; Yanfeng Peng; Haidong Shao; Songlai Wang (Expert Syst. Appl., 2025)

From deterministic to Bayesian: Adapting pre-trained models for human-computer collaborative fault diagnosis via post-hoc uncertainty. - Yiming Xiao; Haidong Shao; Jie Wang 160; Baoping Cai; Bin Liu 025 (J. Ind. Inf. Integr., 2025)

A novel interpretable fault diagnosis method using multi-image feature extraction and attention fusion. - Jie Wang 160; Haidong Shao; Jing He; Le Liu; Jingqiang Ma; Bin Liu 025 (Pattern Recognit. Lett., 2025)

Multi-kernel weighted joint domain adaptation network for cross-condition fault diagnosis of rolling bearings. - Xin Li; Hao Chen; Shuhua Li; Dong Wei; Xiaoyu Zou; Lei Si; Haidong Shao (Reliab. Eng. Syst. Saf., 2025)

Small Sample-Oriented Variable Working Condition Fault Diagnosis via Nondata-Enhanced Multicategory Contrastive Learning. - Jinping Liu; Tiantian Zhong; Yunlian Liu; Lihui Cen; Haidong Shao (IEEE Trans. Instrum. Meas., 2025)

Federated Distillation With Lightweight Generative Adversarial Network for Servo Motor Bearing Fault Diagnosis in Heterogeneous Data. - Zongkai Liu; Qiang Hao; Haidong Shao; Rao Xin; Ke Zhao (IEEE Internet Things J., 2025)

Domain-Knowledge-Driven Intelligent Attribute Definition for Zero-Shot Fault Diagnosis of Bearings. - Jinbiao Tan; Jiafu Wan; Hu Cai; Haidong Shao; Mejdl S. Safran; Salman A. AlQahtani (IEEE Trans. Ind. Informatics, 2025)