Dynamic Hierarchical Distributed Intrusion Detection System Based on Multi-Agent System. - Jun Wu 015; Chong-Jun Wang; Jun Wang 024; Shifu Chen (IAT Workshops, 2006)

Using an improved C4.5 for imbalanced dataset of intrusion. - Quan Zhou; Lin-gang Gu; Chong-Jun Wang; Jun Wang 024; Shifu Chen (PST, 2006)

An Intrusion Detection Model Based on Intention Modeling. - Jun Lu; Chong-Jun Wang; Jun Wang 024; Shifu Chen (Security and Management, 2007)

Weighted spherical 1-mean with phase shift and its application in electrocardiogram discord detection. - Jun Wang 024; Fu-Lai Chung; Zhaohong Deng; Shitong Wang 001; Wenhao Ying (Artif. Intell. Medicine, 2013)

Fuzzy partition based soft subspace clustering and its applications in high dimensional data. - Jun Wang 024; Shitong Wang 001; Fulai Chung; Zhaohong Deng (Inf. Sci., 2013)

Multiple-kernel based soft subspace fuzzy clustering. - Jun Wang 024; Zhaohong Deng; Yizhang Jiang; Pengjiang Qian; Shitong Wang 001 (FUZZ-IEEE, 2014)

Least learning machine and its experimental studies on regression capability. - Shitong Wang 001; Fu-Lai Chung; Jun Wu 015; Jun Wang 024 (Appl. Soft Comput., 2014)

A Survey on Soft Subspace Clustering. - Zhaohong Deng; Kup-Sze Choi; Jun Wang 024; Shitong Wang 001 (CoRR, 2014)

Double indices-induced FCM clustering and its integration with fuzzy subspace clustering. - Jun Wang 024; Fu-Lai Chung; Shitong Wang 001; Zhaohong Deng (Pattern Anal. Appl., 2014)

Kernel Density Estimation, Kernel Methods, and Fast Learning in Large Data Sets. - Shitong Wang 001; Jun Wang 024; Fulai Chung (IEEE Trans. Cybern., 2014)

Domain adaptation via support vector machine based on scatter difference. - Wenhao Ying; Conghua Xie; Huan Dai; Shengrong Gong; Jun Wang 024 (ICCAIS, 2015)

LSRB-CSR: A Low Overhead Storage Format for SpMV on the GPU Systems. - Lifeng Liu; Meilin Liu; Chongjun Wang; Jun Wang 024 (ICPADS, 2015)

A fast learning method for feedforward neural networks. - Shitong Wang 001; Fu-Lai Chung; Jun Wang 024; Jun Wu 015 (Neurocomputing, 2015)

Collaborative Fuzzy Clustering From Multiple Weighted Views. - Yizhang Jiang; Fu-Lai Chung; Shitong Wang 001; Zhaohong Deng; Jun Wang 024; Pengjiang Qian (IEEE Trans. Cybern., 2015)

Compile-Time Automatic Synchronization Insertion and Redundant Synchronization Elimination for GPU Kernels. - Lifeng Liu; Meilin Liu; Chong-Jun Wang; Jun Wang 024 (ICPADS, 2016)

A survey on soft subspace clustering. - Zhaohong Deng; Kup-Sze Choi; Yizhang Jiang; Jun Wang 024; Shitong Wang 001 (Inf. Sci., 2016)

Scalable learning method for feedforward neural networks using minimal-enclosing-ball approximation. - Jun Wang 024; Zhaohong Deng; Xiaoqing Luo; Yizhang Jiang; Shitong Wang 001 (Neural Networks, 2016)

Distance metric learning for soft subspace clustering in composite kernel space. - Jun Wang 024; Zhaohong Deng; Kup-Sze Choi; Yizhang Jiang; Xiaoqing Luo; Fu-Lai Chung; Shitong Wang 001 (Pattern Recognit., 2016)

Sparse Multi-view Task-Centralized Learning for ASD Diagnosis. - Jun Wang 024; Qian Wang 001; Shitong Wang 001; Dinggang Shen (MLMI@MICCAI, 2017)

A-MapCG: An Adaptive MapReduce Framework for GPUs. - Lifeng Liu; Yue Zhang; Meilin Liu; Chongjun Wang; Jun Wang 024 (NAS, 2017)

Effective scaling registration approach by imposing the emphasis on the scale factor. - Jihua Zhu; Siyu Xu; Jie Hou; Yaochen Li; Jun Wang 024; Huimin Lu 001 (CoRR, 2017)

Multi-view Registration Based on Weighted Low Rank and Sparse Matrix Decomposition of Motions. - Congcong Jin; Jihua Zhu; Yaochen Li; Shanmin Pang; Lei Chen 011; Jun Wang 024 (CoRR, 2017)

K-means clustering for efficient and robust registration of multi-view point sets. - Zutao Jiang; Jihua Zhu; Shanmin Pang; Yaochen Li; Jun Wang 024 (CoRR, 2017)

A Novel Takagi-Sugeno Fuzzy System Modeling Method with Joint Feature Selection and Rule Reduction. - Defu Lin; Jun Wang 024; Jihua Zhu; Yifan Wang; Yizhang Jiang; Zhaohong Deng; Weiwei Li 001; Shitong Wang 001 (FUZZ-IEEE, 2018)

Multi-Task Multi-View Learning Based on Cooperative Multi-Objective Optimization. - Di Zhou; Jun Wang 024; Bin Jiang 014; Hua Guo; Yajun Li (IEEE Access, 2018)

Multi-view registration of unordered range scans by fast correspondence propagation of multi-scale descriptors. - Jihua Zhu; Siyu Xu; Zutao Jiang; Shanmin Pang; Jun Wang 024; Zhongyu Li 002 (CoRR, 2018)

Scalable transfer support vector machine with group probabilities. - Tongguang Ni; Xiaoqing Gu; Jun Wang 024; Yuhui Zheng; Hongyuan Wang (Neurocomputing, 2018)

Cascaded Hidden Space Feature Mapping, Fuzzy Clustering, and Nonlinear Switching Regression on Large Datasets. - Jun Wang 024; Huan Liu; Xiaohua Qian; Yizhang Jiang; Zhaohong Deng; Shitong Wang 001 (IEEE Trans. Fuzzy Syst., 2018)

Wireless Indoor Positioning With Vertically Uniform Alternating Magnetic Fields. - Xiaokang Qi; Lei Chen 011; Kang An 002; Jun Wang 024; Chao Ma 010; Bin Zhang 032; Kuiwen Xu; Huan Li; Dexin Ye; Jiangtao Huangfu; Changzhi Li; Lixin Ran (IEEE Trans. Instrum. Meas., 2018)

Bioinspired In-Grid Navigation and Positioning Based on an Artificially Established Magnetic Gradient. - Xiaokang Qi; Lei Chen 011; Kang An 002; Jun Wang 024; Bin Zhang 032; Kuiwen Xu; Dexin Ye; Changzhi Li; Lixin Ran (IEEE Trans. Veh. Technol., 2018)

Interpretable Feature Learning Using Multi-output Takagi-Sugeno-Kang Fuzzy System for Multi-center ASD Diagnosis. - Jun Wang 024; Ying Zhang; Tao Zhou 002; Zhaohong Deng; Huifang Huang; Shitong Wang 001; Jun Shi 004; Dinggang Shen (MICCAI (3), 2019)

Deep Multi-modal Latent Representation Learning for Automated Dementia Diagnosis. - Tao Zhou 002; Mingxia Liu 001; Huazhu Fu; Jun Wang 024; Jianbing Shen; Ling Shao 001; Dinggang Shen (MICCAI (4), 2019)

Transfer Representation Learning with TSK Fuzzy System. - Peng Xu; Zhaohong Deng; Jun Wang 024; Qun Zhang 004; Shitong Wang 001 (CoRR, 2019)

Feature Concatenation Multi-view Subspace Clustering. - Qinghai Zheng; Jihua Zhu; Zhongyu Li 002; Shanmin Pang; Jun Wang 024 (CoRR, 2019)

Joint Information Preservation for Heterogeneous Domain Adaptation. - Peng Xu; Zhaohong Deng; Kup-Sze Choi; Jun Wang 024; Shitong Wang 001 (CoRR, 2019)

Multi-view registration based on weighted LRS matrix decomposition of motions. - Congcong Jin; Jihua Zhu; Yaochen Li; Shanmin Pang; Lei Chen 011; Jun Wang 024 (IET Comput. Vis., 2019)

Simultaneous Merging Multiple Grid Maps Using the Robust Motion Averaging. - Zutao Jiang; Jihua Zhu; Yaochen Li; Jun Wang 024; Zhongyu Li 002; Huimin Lu 001 (J. Intell. Robotic Syst., 2019)

Multiple-relations-constrained image classification with limited training samples via Pareto optimization. - Di Zhou; Jun Wang 024; Bin Jiang 014; Yajun Li (Neural Comput. Appl., 2019)

Weakly supervised label distribution learning based on transductive matrix completion with sample correlations. - Xiuyi Jia; Tingting Ren; Lei Chen 011; Jun Wang 024; Jihua Zhu; Xianzhong Long (Pattern Recognit. Lett., 2019)

Sparse Multiview Task-Centralized Ensemble Learning for ASD Diagnosis Based on Age- and Sex-Related Functional Connectivity Patterns. - Jun Wang 024; Qian Wang 001; Han Zhang 002; Jiawei Chen 001; Shitong Wang 001; Dinggang Shen (IEEE Trans. Cybern., 2019)

Concise Fuzzy System Modeling Integrating Soft Subspace Clustering and Sparse Learning. - Peng Xu; Zhaohong Deng; Chen Cui; Te Zhang; Kup-Sze Choi; Suhang Gu; Jun Wang 024; Shitong Wang 001 (IEEE Trans. Fuzzy Syst., 2019)

Blind Separation of Doppler Human Gesture Signals Based on Continuous-Wave Radar Sensors. - Zhitao Gu; Jun Wang 024; Fazhong Shen; Kuiwen Xu; Dexin Ye; Jiangtao Huangfu; Changzhi Li; Lixin Ran (IEEE Trans. Instrum. Meas., 2019)

Label Enhancement with Sample Correlations via Low-Rank Representation. - Haoyu Tang; Jihua Zhu; Qinghai Zheng; Jun Wang 024; Shanmin Pang; Zhongyu Li 002 (AAAI, 2020)

Deep Doubly Supervised Transfer Network for Diagnosis of Breast Cancer with Imbalanced Ultrasound Imaging Modalities. - Xiangmin Han; Jun Wang 024; Weijun Zhou; Cai Chang; Shihui Ying; Jun Shi 004 (MICCAI (6), 2020)

Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19. - Feng Shi 001; Jun Wang 024; Jun Shi 004; Ziyan Wu 001; Qian Wang 001; Zhenyu Tang 002; Kelei He; Yinghuan Shi; Dinggang Shen (CoRR, 2020)

Consistent and Complementary Graph Regularized Multi-view Subspace Clustering. - Qinghai Zheng; Jihua Zhu; Zhongyu Li 002; Shanmin Pang; Jun Wang 024; Lei Chen 011 (CoRR, 2020)

Fuzzy Clustering with Self-growing Net. - Wenhao Ying; Jun Wang 024; Zhaohong Deng; Fuquan Zhang; Zuoyong Li (Int. J. Fuzzy Syst., 2020)

Projective parameter transfer based sparse multiple empirical kernel learning Machine for diagnosis of brain disease. - Xiaoyan Fei; Jun Wang 024; Shihui Ying; Zhongyi Hu 001; Jun Shi 004 (Neurocomputing, 2020)

Feature concatenation multi-view subspace clustering. - Qinghai Zheng; Jihua Zhu; Zhongyu Li 002; Shanmin Pang; Jun Wang 024; Yaochen Li (Neurocomputing, 2020)

Multi-Class ASD Classification Based on Functional Connectivity and Functional Correlation Tensor via Multi-Source Domain Adaptation and Multi-View Sparse Representation. - Jun Wang 024; Lichi Zhang; Qian Wang 001; Lei Chen 011; Jun Shi 004; Xiaobo Chen 001; Zuoyong Li; Dinggang Shen (IEEE Trans. Medical Imaging, 2020)

GQ-GCN: Group Quadratic Graph Convolutional Network for Classification of Histopathological Images. - Zhiyang Gao; Jun Shi 004; Jun Wang 024 (MICCAI (8), 2021)

Two-Stage Self-supervised Cycle-Consistency Network for Reconstruction of Thin-Slice MR Images. - Zhiyang Lu; Zheng Li; Jun Wang 024; Jun Shi 004; Dinggang Shen (MICCAI (6), 2021)

Lightweight adaptive weighted network for single image super-resolution. - Zheng Li; Chaofeng Wang; Jun Wang 024; Shihui Ying; Jun Shi 004 (Comput. Vis. Image Underst., 2021)

Bidirectional loss function for Label Enhancement and distribution learning. - Xinyuan Liu 001; Jihua Zhu; Qinghai Zheng; Zhongyu Li 002; Ruixin Liu; Jun Wang 024 (Knowl. Based Syst., 2021)

Doubly supervised parameter transfer classifier for diagnosis of breast cancer with imbalanced ultrasound imaging modalities. - Xiaoyan Fei; Shichong Zhou; Xiangmin Han; Jun Wang 024; Shihui Ying; Cai Chang; Weijun Zhou; Jun Shi 004 (Pattern Recognit., 2021)

Meta-Learning Based Interactively Connected Clique U-Net for Quantitative Susceptibility Mapping. - Zheng Li; Jun Li; Chaoyue Wang; Zhiyang Lu; Jun Wang 024; Hongjian He; Jun Shi 004 (IEEE Trans. Computational Imaging, 2021)

Transfer Representation Learning With TSK Fuzzy System. - Peng Xu; Zhaohong Deng; Jun Wang 024; Qun Zhang 004; Kup-Sze Choi; Shitong Wang 001 (IEEE Trans. Fuzzy Syst., 2021)

Multi-Source Transfer Learning Via Multi-Kernel Support Vector Machine Plus for B-Mode Ultrasound-Based Computer-Aided Diagnosis of Liver Cancers. - Huili Zhang; Lehang Guo; Dan Wang; Jun Wang 024; Lili Bao; Shihui Ying; Huixiong Xu; Jun Shi 004 (IEEE J. Biomed. Health Informatics, 2021)

Multitask TSK Fuzzy System Modeling by Jointly Reducing Rules and Consequent Parameters. - Jun Wang 024; Defu Lin; Zhaohong Deng; Yizhang Jiang; Jihua Zhu; Lei Chen 011; Zuoyong Li; Lejun Gong; Shitong Wang 001 (IEEE Trans. Syst. Man Cybern. Syst., 2021)

A Channel Attention Based MLP-Mixer Network for Motor Imagery Decoding With EEG. - Yanbin He; Zhiyang Lu; Jun Wang 024; Jun Shi 004 (ICASSP, 2022)

Multi-Scale Bidirectional Enhancement Network for 3d Dental Model Segmentation. - Zigang Li; Tingting Liu; Jun Wang 024; Changdong Zhang; Xiuyi Jia (ISBI, 2022)

Self-Distilled Supervised Contrastive Learning for diagnosis of breast cancers with histopathological images. - Ronglin Gong; Linlin Wang; Jun Wang 024; Binjie Ge; Hang Yu; Jun Shi 004 (Comput. Biol. Medicine, 2022)

Pseudo-Data based Self-Supervised Federated Learning for Classification of Histopathological Images. - Jun Shi 004; Yuanming Zhang; Zheng Li; Xiangmin Han; Saisai Ding; Jun Wang 024; Shihui Ying (CoRR, 2022)

Multi-Class ASD Classification via Label Distribution Learning with Class-Shared and Class-Specific Decomposition. - Jun Wang 024; Fengyexin Zhang; Xiuyi Jia; Xin Wang 084; Han Zhang 002; Shihui Ying; Qian Wang 001; Jun Shi 004; Dinggang Shen (Medical Image Anal., 2022)

Multi-modal sequence learning for Alzheimer's disease progression prediction with incomplete variable-length longitudinal data. - Lei Xu 028; Hui Wu; Chunming He; Jun Wang 024; Changqing Zhang; Feiping Nie 001; Lei Chen 011 (Medical Image Anal., 2022)

Uncertainty Modeling for Multicenter Autism Spectrum Disorder Classification Using Takagi-Sugeno-Kang Fuzzy Systems. - Zhongyi Hu 001; Jun Wang 024; Chunxiang Zhang; Zhenzhen Luo; Xiaoqing Luo; Lei Xiao; Jun Shi 004 (IEEE Trans. Cogn. Dev. Syst., 2022)

Transductive Multiview Modeling With Interpretable Rules, Matrix Factorization, and Cooperative Learning. - Wei Zhang 221; Zhaohong Deng; Jun Wang 024; Kup-Sze Choi; Te Zhang; Xiaoqing Luo; Hong-Bin Shen; Wenhao Ying; Shitong Wang 001 (IEEE Trans. Cybern., 2022)

Robust Multi-Label Relief Feature Selection Based on Fuzzy Margin Co-Optimization. - Qiongdan Lou; Zhaohong Deng; Kup-Sze Choi; Hong-Bin Shen; Jun Wang 024; Shitong Wang 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2022)

Manifold-Regularized Multitask Fuzzy System Modeling With Low-Rank and Sparse Structures in Consequent Parameters. - Jun Wang 024; Zhuangzhuang Zhao; Zhaohong Deng; Kup-Sze Choi; Lejun Gong; Jun Shi 004; Shitong Wang 001 (IEEE Trans. Fuzzy Syst., 2022)

Incomplete Multiple View Fuzzy Inference System With Missing View Imputation and Cooperative Learning. - Wei Zhang 221; Zhaohong Deng; Te Zhang; Kup-Sze Choi; Jun Wang 024; Shitong Wang 001 (IEEE Trans. Fuzzy Syst., 2022)

Joint Localization and Classification of Breast Cancer in B-Mode Ultrasound Imaging via Collaborative Learning With Elastography. - Weichang Ding; Jun Wang 024; Weijun Zhou; Shichong Zhou; Cai Chang; Jun Shi 004 (IEEE J. Biomed. Health Informatics, 2022)

A Convolutional Neural Network and Graph Convolutional Network Based Framework for Classification of Breast Histopathological Images. - Zhiyang Gao; Zhiyang Lu; Jun Wang 024; Shihui Ying; Jun Shi 004 (IEEE J. Biomed. Health Informatics, 2022)

Self-Supervised Bi-Channel Transformer Networks for Computer-Aided Diagnosis. - Ronglin Gong; Xiangmin Han; Jun Wang 024; Shihui Ying; Jun Shi 004 (IEEE J. Biomed. Health Informatics, 2022)

Diagnosis of Infantile Hip Dysplasia With B-Mode Ultrasound via Two-Stage Meta-Learning Based Deep Exclusivity Regularized Machine. - Bangming Gong; Jing Shi; Xiangmin Han; Huan Zhang; Yuemin Huang; Liwei Hu; Jun Wang 024; Jun Du 006; Jun Shi 004 (IEEE J. Biomed. Health Informatics, 2022)

Doubly Supervised Transfer Classifier for Computer-Aided Diagnosis With Imbalanced Modalities. - Xiangmin Han; Xiaoyan Fei; Jun Wang 024; Tao Zhou 002; Shihui Ying; Jun Shi 004; Dinggang Shen (IEEE Trans. Medical Imaging, 2022)

Multi-scale Prototypical Transformer for Whole Slide Image Classification. - Saisai Ding; Jun Wang 024; Juncheng Li 013; Jun Shi 004 (MICCAI (6), 2023)

Corrigendum to "Least learning machine and its experimental studies on regression capability" [Applied Soft Computing 21 (2014) 677-684]. - Shitong Wang 001; Fu-Lai Chung; Jun Wu 015; Jun Wang 024 (Appl. Soft Comput., 2023)

Multi-scale Efficient Graph-Transformer for Whole Slide Image Classification. - Saisai Ding; Juncheng Li 013; Jun Wang 024; Shihui Ying; Jun Shi 004 (CoRR, 2023)

Weakly Supervised Lesion Detection and Diagnosis for Breast Cancers with Partially Annotated Ultrasound Images. - Jian Wang 135; Liang Qiao; Shichong Zhou; Jin Zhou; Jun Wang 024; Juncheng Li 013; Shihui Ying; Cai Chang; Jun Shi 004 (CoRR, 2023)

Fractal graph convolutional network with MLP-mixer based multi-path feature fusion for classification of histopathological images. - Saisai Ding; Zhiyang Gao; Jun Wang 024; Minhua Lu; Jun Shi 004 (Expert Syst. Appl., 2023)

ML-DSVM+: A meta-learning based deep SVM+ for computer-aided diagnosis. - Xiangmin Han; Jun Wang 024; Shihui Ying; Jun Shi 004; Dinggang Shen (Pattern Recognit., 2023)

Jointly Composite Feature Learning and Autism Spectrum Disorder Classification Using Deep Multi-Output Takagi-Sugeno-Kang Fuzzy Inference Systems. - Zhaowu Lu; Jun Wang 024; Rui Mao 001; Minhua Lu; Jun Shi 004 (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Multi-View Feature Transformation Based SVM+ for Computer-Aided Diagnosis of Liver Cancers With Ultrasound Images. - Huili Zhang; Lehang Guo; Jun Wang 024; Shihui Ying; Jun Shi 004 (IEEE J. Biomed. Health Informatics, 2023)

Reconstruction of Quantitative Susceptibility Mapping From Total Field Maps With Local Field Maps Guided UU-Net. - Zheng Li; Shihui Ying; Jun Wang 024; Hongjian He; Jun Shi 004 (IEEE J. Biomed. Health Informatics, 2023)

An improved 3D KiU-Net for segmentation of liver tumor. - Guodong Chen; Zheng Li; Jian Wang 135; Jun Wang 024; Shisuo Du; Jinghao Zhou; Jun Shi 004; Yongkang Zhou (Comput. Biol. Medicine, 2023)

Severity prediction of pulmonary diseases using chest CT scans via cost-sensitive label multi-kernel distribution learning. - Xin Wang 084; Jun Wang 024; Fei Shan; Yiqiang Zhan; Jun Shi 004; Dinggang Shen (Comput. Biol. Medicine, 2023)

Contrastive Multi-View Composite Graph Convolutional Networks Based on Contribution Learning for Autism Spectrum Disorder Classification. - Hao Zhu; Jun Wang 024; Yin-Ping Zhao; Minhua Lu; Jun Shi 004 (IEEE Trans. Biomed. Eng., 2023)

B-mode ultrasound based CAD for liver cancers via multi-view privileged information learning. - Xiangmin Han; Bangming Gong; Lehang Guo; Jun Wang 024; Shihui Ying; Shuo Li 001; Jun Shi 004 (Neural Networks, 2023)

Two-Stage Self-Supervised Cycle-Consistency Transformer Network for Reducing Slice Gap in MR Images. - Zhiyang Lu; Jian Wang 135; Zheng Li; Shihui Ying; Jun Wang 024; Jun Shi 004; Dinggang Shen (IEEE J. Biomed. Health Informatics, 2023)

Hybrid-supervised bidirectional transfer networks for computer-aided diagnosis. - Ronglin Gong; Jing Shi; Jian Wang 135; Jun Wang 024; Jianwei Zhou; Xiaofeng Lu; Jun Du 006; Jun Shi 004 (Comput. Biol. Medicine, 2023)

Immunotherapy Efficacy Prediction for Non-Small Cell Lung Cancer Using Multi-View Adaptive Weighted Graph Convolutional Networks. - Qiong Wu; Jun Wang 024; Zongqiong Sun; Lei Xiao; Wenhao Ying; Jun Shi 004 (IEEE J. Biomed. Health Informatics, 2023)

Multi-Scale Efficient Graph-Transformer for Whole Slide Image Classification. - Saisai Ding; Juncheng Li 003; Jun Wang 024; Shihui Ying; Jun Shi 004 (IEEE J. Biomed. Health Informatics, 2023)

Topological GCN for Improving Detection of Hip Landmarks from B-Mode Ultrasound Images. - Tianxiang Huang; Jing Shi; Ge Jin 002; Juncheng Li 003; Jun Wang 024; Jun Du 006; Jun Shi 004 (MICCAI (5), 2024)

Dual-domain MIM based contrastive learning for CAD of developmental dysplasia of the hip with ultrasound images. - Ke Sun; Jing Shi; Ge Jin 002; Juncheng Li 003; Jun Wang 024; Jun Du 006; Jun Shi 004 (Biomed. Signal Process. Control., 2024)

B-mode ultrasound-based CAD by learning using privileged information with dual-level missing modality completion. - Xiao Wang; Xinping Ren; Ge Jin 002; Shihui Ying; Jun Wang 024; Juncheng Li 003; Jun Shi 004 (Comput. Biol. Medicine, 2024)

Few sampling meshes-based 3D tooth segmentation via region-aware graph convolutional network. - Yang Zhao; Bodong Cheng; Najun Niu; Jun Wang 024; Tieyong Zeng; Guixu Zhang; Jun Shi 004; Juncheng Li 003 (Expert Syst. Appl., 2024)

Multi-View disentanglement-based bidirectional generalized distillation for diagnosis of liver cancers with ultrasound images. - Huili Zhang; Lehang Guo; Juncheng Li 003; Jun Wang 024; Shihui Ying; Jun Shi 004 (Inf. Process. Manag., 2024)

Pseudo-Data Based Self-Supervised Federated Learning for Classification of Histopathological Images. - Yuanming Zhang; Zheng Li; Xiangmin Han; Saisai Ding; Juncheng Li 003; Jun Wang 024; Shihui Ying; Jun Shi 004 (IEEE Trans. Medical Imaging, 2024)

Adaptive Multimodel Knowledge Transfer Matrix Machine for EEG Classification. - Shuang Liang 015; Wenlong Hang; Baiying Lei; Jun Wang 024; Jing Qin 001; Kup-Sze Choi; Yu Zhang 009 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Correction to: Multi-View Feature Transformation Based SVM+ for Computer-Aided Diagnosis of Liver Cancers With Ultrasound Image. - Huili Zhang; Lehang Guo; Jun Wang 024; Shihui Ying; Jun Shi 004 (IEEE J. Biomed. Health Informatics, 2024)

Weakly Supervised Lesion Detection and Diagnosis for Breast Cancers With Partially Annotated Ultrasound Images. - Jian Wang 135; Liang Qiao; Shichong Zhou; Jin Zhou; Jun Wang 024; Juncheng Li 003; Shihui Ying; Cai Chang; Jun Shi 004 (IEEE Trans. Medical Imaging, 2024)

Involution Transformer Based U-Net for Landmark Detection in Ultrasound Images for Diagnosis of Infantile DDH. - Tianxiang Huang; Jing Shi; Juncheng Li 003; Jun Wang 024; Jun Du 006; Jun Shi 004 (IEEE J. Biomed. Health Informatics, 2024)

Cost-Sensitive Weighted Contrastive Learning Based on Graph Convolutional Networks for Imbalanced Alzheimer's Disease Staging. - Yan Hu; Jun Wang 024; Hao Zhu; Juncheng Li 003; Jun Shi 004 (IEEE Trans. Medical Imaging, 2024)

Convolutional Fuzzy Neural Networks With Random Weights for Image Classification. - Yifan Wang; Hisao Ishibuchi; Witold Pedrycz; Jihua Zhu; Xiangyong Cao; Jun Wang 024 (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Multimodal Co-Attention Fusion Network With Online Data Augmentation for Cancer Subtype Classification. - Saisai Ding; Juncheng Li 003; Jun Wang 024; Shihui Ying; Jun Shi 004 (IEEE Trans. Medical Imaging, 2024)

Causal Evidence Learning for Trusted Open Set Recognition Under Covariate Shift. - Qingsen Bao; Lei Chen 011; Feng Zhang; Jun Wang 024; Changqing Zhang (IEEE Trans. Circuits Syst. Video Technol., 2024)

Progressive Tasks Guided Multi-Source Network for Customer Lifetime Value Prediction in Online Advertising. - Zheng Pan; Xingyu Lou; Xiao Jin; Chiye Ou; Feng Liu 047; Tieyong Zeng; Chengwei He; Xiang Liu; Lilong Wei; Jun Wang 024 (WSDM, 2025)

Fast MRI reconstruction: A thorough survey from single-modal to multi-modal. - Weiyi Lyu; Xinming Fang; Chaoyan Huang; Minhua Lu; Jun Wang 024; Jun Shi 004; Juncheng Li 003 (Expert Syst. Appl., 2025)

Multi-resolution based dual-channel UNet with cross clique for medical image dense prediction. - Xueying Zhou; Ge Jin 002; Yang Liu; Juncheng Li 003; Jun Wang 024; Shihui Ying; Yanyan Zheng; Jun Shi 004 (Expert Syst. Appl., 2025)

HGMSurvNet: A two-stage hypergraph learning network for multimodal cancer survival prediction. - Saisai Ding; Linjin Li; Ge Jin 002; Jun Wang 024; Shihui Ying; Jun Shi 004 (Medical Image Anal., 2025)

A Trustworthy Curriculum Learning Guided Multi-Target Domain Adaptation Network for Autism Spectrum Disorder Classification. - Jiale Dun; Jun Wang 024; Juncheng Li 003; Qianhui Yang; Wenlong Hang; Xiaofeng Lu; Shihui Ying; Jun Shi 004 (IEEE J. Biomed. Health Informatics, 2025)

Dual representation learning for one-step clustering of multi-view data. - Wei Zhang 221; Zhaohong Deng; Kup-Sze Choi; Jun Wang 024; Shitong Wang 001 (Artif. Intell. Rev., 2025)

Dual-masked contrastive learning based hypergraph foundation model for whole slide images. - Xueying Zhou; Saisai Ding; Wenhua Zhang; Juncheng Li 013; Jun Wang 024; Jiasheng Chen; Jun Shi 004 (Pattern Recognit., 2026)