An Ensemble of Competitive Learning Networks with Different Representations for Temporal Data Clustering. - Yun Yang 003; Ke Chen 001 (IJCNN, 2006)

Combining Competitive Learning Networks of Various Representations for Sequential Data Clustering. - Yun Yang 003; Ke Chen 001 (Trends in Neural Computation, 2007)

Unsupervised learning via iteratively constructed clustering ensemble. - Yun Yang 003; Ke Chen 001 (IJCNN, 2010)

Temporal Data Clustering via Weighted Clustering Ensemble with Different Representations. - Yun Yang 003; Ke Chen 001 (IEEE Trans. Knowl. Data Eng., 2011)

Time Series Clustering Via RPCL Network Ensemble With Different Representations. - Yun Yang 003; Ke Chen 001 (IEEE Trans. Syst. Man Cybern. Part C, 2011)

Unsupervised ensemble learning and its application to temporal data clustering. - Yun Yang 003 (2011)

HMM-based hybrid meta-clustering ensemble for temporal data. - Yun Yang 003; Jianmin Jiang (Knowl. Based Syst., 2014)

A robust semi-supervised learning approach via mixture of label information. - Yun Yang 003; Xingchen Liu (Pattern Recognit. Lett., 2015)

Hybrid Sampling-Based Clustering Ensemble With Global and Local Constitutions. - Yun Yang 003; Jianmin Jiang (IEEE Trans. Neural Networks Learn. Syst., 2016)

Semi-supervised distance metric learning for person re-identification. - Feng Chen; Jinhong Chai; Dinghu Ren; Xiaofang Liu; Yun Yang 003 (ICIS, 2017)

K-means based on active learning for support vector machine. - Jie Gan; Ang Li; Qian-Lin Lei; Hao Ren; Yun Yang 003 (ICIS, 2017)

Fuzzy ontology induction in the cognitive model of ontology learning. - Dehai Zhang; Naiyao Wang; Ye Yuan; Bin Wang 018; Yun Yang 003 (ICIS, 2017)

An adaptive semi-supervised clustering approach via multiple density-based information. - Yun Yang 003; Zongze Li; Wei Wang 140; Dapeng Tao (Neurocomputing, 2017)

Least-Squares Support Vector Machine for Semi-Supervised Multi-Tasking. - Xuekuo Jia; Shipu Wang; Yun Yang 003 (SERA, 2018)

Improvement of TF-IDF Algorithm Based on Knowledge Graph. - Yanpeng Wang; Dehai Zhang; Ye Yuan; Qing Liu 019; Yun Yang 003 (SERA, 2018)

Transfer Learning with Ensemble of Multiple Feature Representations. - Hang Zhao; Qing Liu 019; Yun Yang 003 (SERA, 2018)

Open Knowledge Accessing Method in IoT-Based Hospital Information System for Medical Record Enrichment. - Cheng Xie; Po Yang 001; Yun Yang 003 (IEEE Access, 2018)

Ensemble Learning-Based Person Re-identification with Multiple Feature Representations. - Yun Yang 003; Xiaofang Liu; Qiongwei Ye; Dapeng Tao (Complex., 2018)

A novel parallel distance metric-based approach for diversified ranking on large graphs. - Jin Li 007; Yun Yang 003; Xiaoling Wang 004; Zhiming Zhao; Tong Li 004 (Future Gener. Comput. Syst., 2018)

A novel bagging C4.5 algorithm based on wrapper feature selection for supporting wise clinical decision making. - Shin-Jye Lee; Zhaozhao Xu; Tong Li 004; Yun Yang 003 (J. Biomed. Informatics, 2018)

Examining sensor-based physical activity recognition and monitoring for healthcare using Internet of Things: A systematic review. - Jun Qi 001; Po Yang 001; Atif Waraich; Zhikun Deng; Youbing Zhao; Yun Yang 003 (J. Biomed. Informatics, 2018)

Bi-weighted ensemble via HMM-based approaches for temporal data clustering. - Yun Yang 003; Jianmin Jiang (Pattern Recognit., 2018)

User Profiling in Elderly Healthcare Services in China: Scalper Detection. - Cheng Xie; Hongming Cai 001; Yun Yang 003; Lihong Jiang; Po Yang 001 (IEEE J. Biomed. Health Informatics, 2018)

An Unsupervised Feature Extraction Method based on Multi-granularity Convolution Denoising Autoencoder. - Lijuan Cao; Qing Liu 019; Yun Yang 003 (ICIS, 2019)

Multi-source Ensemble Transfer Approach for Medical Text Auxiliary Diagnosis. - Xinfa Li; Yun Yang 003; Po Yang 001 (BIBE, 2019)

Experimental Analysis of Artificial Neural Networks Performance for Physical Activity Recognition Using Belt and Wristband Devices. - Jun Qi 001; Yun Yang 003; Xiyang Peng; Lee Newcombe; Andrew Simpson 001; Po Yang 001 (EMBC, 2019)

Ensemble of Receptive Fields for Training Central-Focused Convolutional Neural Networks. - Wenzhao Shao; Po Yang 001; Yun Yang 003 (INDIN, 2019)

A Survey of Disease Progression Modeling Techniques for Alzheimer's Diseases. - Xulong Wang 001; Jun Qi 001; Yun Yang 003; Po Yang 001 (INDIN, 2019)

A Stacked Multi-Granularity Convolution Denoising Auto-Encoder. - Yun Yang 003; Lijuan Cao; Qing Liu 019; Po Yang 001 (IEEE Access, 2019)

GAN-Based Semi-Supervised Learning Approach for Clinical Decision Support in Health-IoT Platform. - Yun Yang 003; Fengtao Nan; Po Yang 001; Qiang Meng; Yingfu Xie; Dehai Zhang; Khan Muhammad 001 (IEEE Access, 2019)

Knowledge Graph-Based Image Classification Refinement. - Dehai Zhang; Menglong Cui; Yun Yang 003; Po Yang 001; Cheng Xie; Di Liu 002; Beibei Yu; Zhibo Chen 005 (IEEE Access, 2019)

CASS: Criticality-Aware Standby-Sparing for real-time systems. - Mingxiong Zhao 001; Di Liu 002; Xu Jiang 004; Weichen Liu; Gang Xue; Cheng Xie; Yun Yang 003; Zhishan Guo (J. Syst. Archit., 2019)

Adaptive Bi-Weighting Toward Automatic Initialization and Model Selection for HMM-Based Hybrid Meta-Clustering Ensembles. - Yun Yang 003; Jianmin Jiang (IEEE Trans. Cybern., 2019)

Comparison and Modelling of Country-level Microblog User and Activity in Cyber-physical-social Systems Using Weibo and Twitter Data. - Po Yang 001; Jing Liu; Jun Qi 001; Yun Yang 003; Xulong Wang 001; Zhihan Lv (ACM Trans. Intell. Syst. Technol., 2019)

A Novel Sleep Stage Classification via Combination of Fast Representation Learning and Semantic-to-Signal Learning. - Hongxin Xiang; Ting Zeng; Yun Yang 003 (IJCNN, 2020)

HNSleepNet: A Novel Hybrid Neural Network for Home Health-Care Automatic Sleep Staging with Raw Single-Channel EEG. - Weiwei Chen; Yun Yang 003; Po Yang 001 (INDIN, 2020)

Multi-View Facial Expression Recognition based o n Multitask Learning and Generative Adversarial Network. - Jiajun Fan; Shipu Wang; Po Yang 001; Yun Yang 003 (INDIN, 2020)

Human activity recognition based on triaxial accelerometer using multi-feature weighted ensemble. - QingNan Li; Yun Yang 003; Po Yang 001 (INDIN, 2020)

Hybrid Label Noise Correction Algorithm For Medical Auxiliary Diagnosis. - Jiwei Xu; Yun Yang 003; Po Yang 001 (INDIN, 2020)

Traffic sign classification via Semi-Supervised model with uncertain labels. - Luhui Yang; Qing Liu 019; Yun Yang 003; Po Yang 001 (INDIN, 2020)

Interoperable Multi-Modal Data Analysis Platform for Alzheimer's Disease Management. - Zhen Pang; Shuhao Zhang 007; Yun Yang 003; Jun Qi 001; Po Yang 001 (ISPA/BDCloud/SocialCom/SustainCom, 2020)

Experimental Analysis of Artificial Neural Networks Performance for Accessing Physical Activity Recognition in Daily Life. - Xiyang Peng; Xiang Wang; Jun Qi 001; Yun Yang 003; Jie Li; Po Yang 001 (ISPA/BDCloud/SocialCom/SustainCom, 2020)

Visual Analysis of Biomarkers Selected via Multi-Task Learning for Modeling Alzheimer's Disease Progression. - Xulong Wang 001; Gaoshan Bi; Yu Zhang 128; Jun Qi 001; Yun Yang 003; Po Yang 001 (ISPA/BDCloud/SocialCom/SustainCom, 2020)

MFL_COVID19: Quantifying Country-based Factors affecting Case Fatality Rate in Early Phase of COVID-19 Epidemic via Regularised Multi-task Feature Learning. - Po Yang 001; Jun Qi 001; Xulong Wang 001; Yun Yang 003 (CoRR, 2020)

An overview of data fusion techniques for Internet of Things enabled physical activity recognition and measure. - Jun Qi 001; Po Yang 001; Lee Newcombe; Xiyang Peng; Yun Yang 003; Zhong Zhao (Inf. Fusion, 2020)

A dimension-reduction based multilayer perception method for supporting the medical decision making. - Shin-Jye Lee; Ching-Hsun Tseng; G. T.-R. Lin; Yun Yang 003; Po Yang 001; Khan Muhammad 001; Hari Mohan Pandey (Pattern Recognit. Lett., 2020)

DUAPM: An Effective Dynamic Micro-Blogging User Activity Prediction Model Towards Cyber-Physical-Social Systems. - Po Yang 001; Geng Yang; Jing Liu; Jun Qi 001; Yun Yang 003; Xulong Wang 001; Tian Wang 001 (IEEE Trans. Ind. Informatics, 2020)

Unsupervised Ensemble Learning and Its Application to Temporal Data Mining: Keynote Address. - Yun Yang 003 (BCD, 2021)

Zero-Shot Learning Based on Knowledge Sharing. - Ting Zeng; Hongxin Xiang; Cheng Xie; Yun Yang 003; Qing Liu 019 (CSCWD, 2021)

Multi-Knowledge Fusion Network for Generalized Zero-Shot Learning. - Hongxin Xiang; Cheng Xie; Ting Zeng; Yun Yang 003 (ICME, 2021)

Generalization Self-distillation with Epoch-wise Regularization. - Yuelong Xia; Yun Yang 003 (IJCNN, 2021)

Activity Selection to Distinguish Healthy People from Parkinson's Disease Patients Using I-DA. - Liu Tao; Xiang Wang; Xiyang Peng; Po Yang 001; Jun Qi 001; Yun Yang 003 (MSN, 2021)

Modeling Disease Progression Flexibly with Nonlinear Disease Structure via Multi-task Learning. - Menghui Zhou; Xulong Wang 001; Yun Yang 003; Fengtao Nan; Yu Zhang 128; Jun Qi 001; Po Yang 001 (MSN, 2021)

MvKFN-MDA: Multi-view Kernel Fusion Network for miRNA-disease association prediction. - Jin Li 007; Tao Liu; Jingru Wang; Qing Li; Chenxi Ning; Yun Yang 003 (Artif. Intell. Medicine, 2021)

A weighted multi-feature transfer learning framework for intelligent medical decision making. - Yun Yang 003; Jing Guo; Qiongwei Ye; Yuelong Xia; Po Yang 001; Amin Ullah; Khan Muhammad 001 (Appl. Soft Comput., 2021)

Multi-Knowledge Fusion for New Feature Generation in Generalized Zero-Shot Learning. - Hongxin Xiang; Cheng Xie; Ting Zeng; Yun Yang 003 (CoRR, 2021)

Class knowledge overlay to visual feature learning for zero-shot image classification. - Cheng Xie; Ting Zeng; Hongxin Xiang; Keqin Li 001; Yun Yang 003; Qing Liu 019 (Comput. Vis. Image Underst., 2021)

A novel sub-Kmeans based on co-training approach by transforming single-view into multi-view. - Fengtao Nan; Yahui Tang; Po Yang 001; Zhenli He; Yun Yang 003 (Future Gener. Comput. Syst., 2021)

A novel word similarity measure method for IoT-enabled Healthcare applications. - Dehai Zhang; Xiaoqiang Xia; Yun Yang 003; Po Yang 001; Cheng Xie; Menglong Cui; Qing Liu 019 (Future Gener. Comput. Syst., 2021)

Multilayer Internet-of-Things Middleware Based on Knowledge Graph. - Cheng Xie; Beibei Yu; Zuoying Zeng; Yun Yang 003; Qing Liu 019 (IEEE Internet Things J., 2021)

Multi-label classification with weighted classifier selection and stacked ensemble. - Yuelong Xia; Ke Chen 001; Yun Yang 003 (Inf. Sci., 2021)

Reservoir hosts prediction for COVID-19 by hybrid transfer learning model. - Yun Yang 003; Jing Guo; Pei Wang 016; Yaowei Wang; Minghao Yu; Xiang Wang; Po Yang 001; Liang Sun (J. Biomed. Informatics, 2021)

Effective multilayer hybrid classification approach for automatic bridge health assessment on large-scale uncertain data. - Yun Yang 003; Fengtao Nan; Po Yang 001 (J. Ind. Inf. Integr., 2021)

A Multi-modal Data Platform for Diagnosis and Prediction of Alzheimer's Disease Using Machine Learning Methods. - Zhen Pang; Xiang Wang; Xulong Wang 001; Jun Qi 001; Zhong Zhao; Yuan Gao; Yun Yang 003; Po Yang 001 (Mob. Networks Appl., 2021)

Cross Knowledge-based Generative Zero-Shot Learning approach with Taxonomy Regularization. - Cheng Xie; Hongxin Xiang; Ting Zeng; Yun Yang 003; Beibei Yu; Qing Liu 019 (Neural Networks, 2021)

A Local-Neighborhood Information Based Overlapping Community Detection Algorithm for Large-Scale Complex Networks. - Fan Cheng 001; Congtao Wang; Xingyi Zhang 001; Yun Yang 003 (IEEE/ACM Trans. Netw., 2021)

A Fast Texture-to-Stain Adversarial Stain Normalization Network for Histopathological Images. - Qi Jia; Jing Guo; Fei Du; Peng Yang; Yun Yang 003 (BIBM, 2022)

Multi-task Learning with Adaptive Global Temporal Structure for Predicting Alzheimer's Disease Progression. - Menghui Zhou; Yu Zhang 128; Tong Liu 014; Yun Yang 003; Po Yang 001 (CIKM, 2022)

Material Calculation Collaborates with Grain Morphology Knowledge Graph for Material Properties Prediction. - Ziwen Pan; Chao Shu; Zhuoran Xin; Cheng Xie; Qi Shen; Yun Yang 003 (CSCWD, 2022)

Analytic Correlation Penalty with Variable Window in Multi-task Learning Disease Progression Model. - Xiangchao Chang; Menghui Zhou; Fengtao Nan; Yun Yang 003; Po Yang 001 (MSN, 2022)

Analysing and Evaluating Complementarity of Multi-Modal Data Fusion in AD Diagnosis. - Zhaodong Chen; Fengtao Nan; Yun Yang 003; Jiayu Wang; Po Yang 001 (MSN, 2022)

Multi-layer information fusion based on graph convolutional network for knowledge-driven herb recommendation. - Yun Yang 003; Yulong Rao; Minghao Yu; Yan Kang 003 (Neural Networks, 2022)

Two-Stage Selective Ensemble of CNN via Deep Tree Training for Medical Image Classification. - Yun Yang 003; Yuanyuan Hu; Xingyi Zhang 001; Song Wang 002 (IEEE Trans. Cybern., 2022)

Robust Temporal Smoothness in Multi-Task Learning. - Menghui Zhou; Yu Zhang 128; Yun Yang 003; Tong Liu 014; Po Yang 001 (AAAI, 2023)

A Multi-Frame Rate Network with Attention Mechanism for Depression Severity Estimation. - Ruibin Wang; Jing Guo; Jiashun Wang; Lang He; Yun Yang 003 (BIBM, 2023)

IoTBDH-2023: The 5th International Workshop on Internet of Things of Big Data for Healthcare. - Jun Qi 001; Hongqing Yu; Po Yang 001; Yun Yang 003; Zhibo Pang (CIKM, 2023)

Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions. - Fei Du; Peng Yang; Qi Jia; Fengtao Nan; Xiaoting Chen; Yun Yang 003 (CVPR, 2023)

Effective Severity Assessment of Parkinson's Disease using Wearable Sensors in Free-living IoT Environment. - Ziheng Li; Yuting Zhao; Jun Qi 001; Xulong Wang 001; Yun Yang 003; Po Yang 001 (ICPADS, 2023)

Modeling Parkinson's Disease Aided Diagnosis with Multi-Instance Learning: An Effective Approach to Mitigate Label Noise. - Zheyuan Xu; Fengtao Nan; Jun Qi 001; Yun Yang 003; Xulong Wang 001; Po Yang 001 (ICPADS, 2023)

Effective Severity Assessment of Parkinson's Disease with Wearable Intelligence using Free-living Environment Data. - Liu Tao; Xulong Wang 001; Fengtao Nan; Jun Qi 001; Yun Yang 003; Po Yang 001 (ISIE, 2023)

A Weakly Supervised Learning Framework for Parkinson's Disease Assessment Using Wearable Sensor. - Ziheng Li; Xiyang Peng; Yuting Zhao; Xulong Wang 001; Yun Yang 003; Po Yang 001 (MSN, 2023)

A Deep Learning Model for Mobility Change Prediction Based on National Prevention and Control Policy. - Shifeng Li; Ruoling Peng; Po Yang 001; Yun Yang 003 (TrustCom, 2023)

Privacy-Preserving-Enabled Lightweight COVID-19 Simulation Model for Mobile Intelligent Application. - Shuhao Zhang 007; Gaoshan Bi; Jun Qi 001; Yun Yang 003; Xiangzeng Kong; Fengtao Nan; Menghui Zhou; Po Yang 001 (IEEE Internet Things J., 2023)

Information Maximizing Adaptation Network With Label Distribution Priors for Unsupervised Domain Adaptation. - Pei Wang 016; Yun Yang 003; Yuelong Xia; Kun Wang; Xingyi Zhang 001; Song Wang 002 (IEEE Trans. Multim., 2023)

Efficient Perturbation Inference and Expandable Network for continual learning. - Fei Du; Yun Yang 003; Ziyuan Zhao; Zeng Zeng (Neural Networks, 2023)

Efficient multi-task learning with adaptive temporal structure for progression prediction. - Menghui Zhou; Yu Zhang 128; Tong Liu 014; Yun Yang 003; Po Yang 001 (Neural Comput. Appl., 2023)

Adaptive Multi-Cognitive Objective Temporal Task Approach for Predicting AD Progression. - Xuanhan Fan; Menghui Zhou; Yu Zhang 128; Jun Qi 001; Yun Yang 003; Po Yang 001 (BIBM, 2024)

Medical Signals Augmentation for Parkinson's Disease Diagnosis in Low-Resource Settings Across Time, Activity and Patients. - Xiyang Peng; Zheyuan Xu; Yun Yang 003; Po Yang 001 (BIBM, 2024)

Leveraging Multi-Sensor Data and Domain Adaptation for Improved Parkinson's Disease Assessment. - Mingchang Xu; Jun Qi 001; Xulong Wang 001; Menghui Zhou; Yun Yang 003; Po Yang 001 (BIBM, 2024)

Adaptive Domain-Adversarial Multi-Instance Learning for Wearable-Sensor-Based Parkinson's Disease Severity Assessment. - Zheyuan Xu; Xulong Wang 001; Menghui Zhou; Jun Qi 001; Yun Yang 003; Po Yang 001 (BIBM, 2024)

Alzheimer's Disease Diagnosis via Specific-Shared Representation Learning in Multimodal Neuroimaging. - Mingxia Wang; Yun Yang 003; Jun Qi 001; Fengtao Nan; Shunbao Li; Po Yang 001 (ICIC (LNBI 1), 2024)

An Activity Graph-Based Deep Convolutional Neural Network Framework in Symptom Severity Diagnosis Towards Parkinson's Disease Using Inertial Sensors. - Mingchang Xu; Xiyang Peng; Po Yang 001; Jun Qi 001; Yun Yang 003 (ICIC (LNBI 1), 2024)

Multi-batch Nuclear-norm Adversarial Network for Unsupervised Domain Adaptation. - Pei Wang 016; Yun Yang 003; Zhenyu Yu (ICME, 2024)

A multi-target multi-task approach based on correlated multiple cognitive scores for AD progression prediction. - Xuanhan Fan; Menghui Zhou; Jun Qi 001; Yun Yang 003; Po Yang 001 (IJCNN, 2024)

Embodied AI Through Cloud-Fog Computing: A Framework for Everywhere Intelligence. - Dongxiao Hu; Dapeng Lan; Yu Liu 011; Jiahong Ning; Jia Wang; Yun Yang 003; Zhibo Pang (ISIE, 2024)

HICL: Hierarchical Intent Contrastive Learning for sequential recommendation. - Yan Kang 003; Yancong Yuan; Bin Pu; Yun Yang 003; Lei Zhao 013; Jing Guo (Expert Syst. Appl., 2024)

Informative relationship multi-task learning: Exploring pairwise contribution across tasks' sharing knowledge. - Xiangchao Chang; Menghui Zhou; Xulong Wang 001; Yun Yang 003; Po Yang 001 (Knowl. Based Syst., 2024)

A Fast Hybrid Feature Selection Method Based on Dynamic Clustering and Improved Particle Swarm Optimization for High-Dimensional Health Care Data. - Yan Kang 003; Luhan Peng; Jing Guo; Yuhuan Lu; Yun Yang 003; Baochen Fan; Bin Pu (IEEE Trans. Consumer Electron., 2024)

Human Body Impact and Error Correction for Indoor UWB Ranging. - Xueping Li; Yue Gao; Yuan Yang 006; Wei Xiang 001; Xiaolin Jiang 001; Yun Yang 003; Xiaoling Zhang (IEEE Trans. Consumer Electron., 2024)

A Deep Graph Network with Multiple Similarity for User Clustering in Human-Computer Interaction. - Yan Kang 003; Bin Pu; Yongqi Kou; Yun Yang 003; Jianguo Chen 001; Khan Muhammad 001; Po Yang 001; Lida Xu; Mohammad Hijji (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Guest Editorial: AutoML for Nonstationary Data. - Ran Cheng; Hugo Jair Escalante; Wei-Wei Tu; Jan N. van Rijn; Shuo Wang 005; Yun Yang 003 (IEEE Trans. Artif. Intell., 2024)

Integrating Visualised Automatic Temporal Relation Graph into Multi-Task Learning for Alzheimer's Disease Progression Prediction. - Menghui Zhou; Xulong Wang 001; Tong Liu 014; Yun Yang 003; Po Yang 001 (IEEE Trans. Knowl. Data Eng., 2024)

HapRepair: Learn to Repair OpenHarmony Apps. - Zhihao Lin; Mingyi Zhou; Wei Ma; Chi Chen; Yun Yang 003; Jun Wang 020; Chunming Hu; Li Li 029 (SIGSOFT FSE Companion, 2025)

Joint image synthesis and fusion with converted features for Alzheimer's disease diagnosis. - Zhaodong Chen; Mingxia Wang; Fengtao Nan; Yun Yang 003; Shunbao Li; Menghui Zhou; Jun Qi 001; Hanwen Wang; Po Yang 001 (Eng. Appl. Artif. Intell., 2025)

A Novel Semi-Supervised Object Detection Approach via Scale Rebalancing and Global Proposal Contrast Consistency. - Bo Liu; Chengrong Yang; Jing Guo; Yun Yang 003 (IEEE Trans. Circuits Syst. Video Technol., 2025)

Multimodal Wearable Intelligence for Dementia Care in Healthcare 4.0: a Survey. - Po Yang 001; Gaoshan Bi; Jun Qi 001; Xulong Wang 001; Yun Yang 003; Lida Xu (Inf. Syst. Frontiers, 2025)

Multi-Scale and Multi-Level Feature Assessment Framework for Classification of Parkinson's Disease State From Short-Term Motor Tasks. - Xiyang Peng; Yuting Zhao; Ziheng Li; Xulong Wang 001; Fengtao Nan; Zhong Zhao; Yun Yang 003; Po Yang 001 (IEEE Trans. Biomed. Eng., 2025)

Intelligent Inspection of Electronic Devices in Specific Environments via a Novel Cascade Network of Combining Mixed Sampling and Nonstrided Convolution. - Bo Liu; Jing Guo; Yaowei Wang; Chengrong Yang; Fengtao Nan; Yun Yang 003 (IEEE Trans. Syst. Man Cybern. Syst., 2025)