Jun Wang
Orcid: 0000-0001-9548-0411Affiliations:
- Shanghai University, School of Communication and Information Engineering, Shanghai , China
- Jiangnan University, School of Digital Media, Wuxi, China (former)
- University of North Carolina at Chapel Hill, NC, USA (former)
- Nanjing University of Science and Technology, China (PhD 2011)
According to our database1,
Jun Wang
authored at least 86 papers
between 2006 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on zbmath.org
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Bibliography
2024
Pseudo-Data Based Self-Supervised Federated Learning for Classification of Histopathological Images.
IEEE Trans. Medical Imaging, March, 2024
2023
IEEE J. Biomed. Health Informatics, December, 2023
Immunotherapy Efficacy Prediction for Non-Small Cell Lung Cancer Using Multi-View Adaptive Weighted Graph Convolutional Networks.
IEEE J. Biomed. Health Informatics, November, 2023
Comput. Biol. Medicine, October, 2023
Two-Stage Self-Supervised Cycle-Consistency Transformer Network for Reducing Slice Gap in MR Images.
IEEE J. Biomed. Health Informatics, July, 2023
B-mode ultrasound based CAD for liver cancers via multi-view privileged information learning.
Neural Networks, July, 2023
Contrastive Multi-View Composite Graph Convolutional Networks Based on Contribution Learning for Autism Spectrum Disorder Classification.
IEEE Trans. Biomed. Eng., June, 2023
Severity prediction of pulmonary diseases using chest CT scans via cost-sensitive label multi-kernel distribution learning.
Comput. Biol. Medicine, June, 2023
Reconstruction of Quantitative Susceptibility Mapping From Total Field Maps With Local Field Maps Guided UU-Net.
IEEE J. Biomed. Health Informatics, April, 2023
Multi-View Feature Transformation Based SVM+ for Computer-Aided Diagnosis of Liver Cancers With Ultrasound Images.
IEEE J. Biomed. Health Informatics, March, 2023
Jointly Composite Feature Learning and Autism Spectrum Disorder Classification Using Deep Multi-Output Takagi-Sugeno-Kang Fuzzy Inference Systems.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
Pattern Recognit., 2023
Fractal graph convolutional network with MLP-mixer based multi-path feature fusion for classification of histopathological images.
Expert Syst. Appl., 2023
Weakly Supervised Lesion Detection and Diagnosis for Breast Cancers with Partially Annotated Ultrasound Images.
CoRR, 2023
CoRR, 2023
Corrigendum to "Least learning machine and its experimental studies on regression capability" [Applied Soft Computing 21 (2014) 677-684].
Appl. Soft Comput., 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
2022
Doubly Supervised Transfer Classifier for Computer-Aided Diagnosis With Imbalanced Modalities.
IEEE Trans. Medical Imaging, 2022
Diagnosis of Infantile Hip Dysplasia With B-Mode Ultrasound via Two-Stage Meta-Learning Based Deep Exclusivity Regularized Machine.
IEEE J. Biomed. Health Informatics, 2022
IEEE J. Biomed. Health Informatics, 2022
A Convolutional Neural Network and Graph Convolutional Network Based Framework for Classification of Breast Histopathological Images.
IEEE J. Biomed. Health Informatics, 2022
Joint Localization and Classification of Breast Cancer in B-Mode Ultrasound Imaging via Collaborative Learning With Elastography.
IEEE J. Biomed. Health Informatics, 2022
Incomplete Multiple View Fuzzy Inference System With Missing View Imputation and Cooperative Learning.
IEEE Trans. Fuzzy Syst., 2022
Manifold-Regularized Multitask Fuzzy System Modeling With Low-Rank and Sparse Structures in Consequent Parameters.
IEEE Trans. Fuzzy Syst., 2022
IEEE Trans. Emerg. Top. Comput. Intell., 2022
Transductive Multiview Modeling With Interpretable Rules, Matrix Factorization, and Cooperative Learning.
IEEE Trans. Cybern., 2022
Uncertainty Modeling for Multicenter Autism Spectrum Disorder Classification Using Takagi-Sugeno-Kang Fuzzy Systems.
IEEE Trans. Cogn. Dev. Syst., 2022
Multi-modal sequence learning for Alzheimer's disease progression prediction with incomplete variable-length longitudinal data.
Medical Image Anal., 2022
Multi-Class ASD Classification via Label Distribution Learning with Class-Shared and Class-Specific Decomposition.
Medical Image Anal., 2022
Pseudo-Data based Self-Supervised Federated Learning for Classification of Histopathological Images.
CoRR, 2022
Self-Distilled Supervised Contrastive Learning for diagnosis of breast cancers with histopathological images.
Comput. Biol. Medicine, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
2021
Multitask TSK Fuzzy System Modeling by Jointly Reducing Rules and Consequent Parameters.
IEEE Trans. Syst. Man Cybern. Syst., 2021
Multi-Source Transfer Learning Via Multi-Kernel Support Vector Machine Plus for B-Mode Ultrasound-Based Computer-Aided Diagnosis of Liver Cancers.
IEEE J. Biomed. Health Informatics, 2021
IEEE Trans. Fuzzy Syst., 2021
Meta-Learning Based Interactively Connected Clique U-Net for Quantitative Susceptibility Mapping.
IEEE Trans. Computational Imaging, 2021
Doubly supervised parameter transfer classifier for diagnosis of breast cancer with imbalanced ultrasound imaging modalities.
Pattern Recognit., 2021
Knowl. Based Syst., 2021
Comput. Vis. Image Underst., 2021
Two-Stage Self-supervised Cycle-Consistency Network for Reconstruction of Thin-Slice MR Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
2020
Multi-Class ASD Classification Based on Functional Connectivity and Functional Correlation Tensor via Multi-Source Domain Adaptation and Multi-View Sparse Representation.
IEEE Trans. Medical Imaging, 2020
Projective parameter transfer based sparse multiple empirical kernel learning Machine for diagnosis of brain disease.
Neurocomputing, 2020
CoRR, 2020
Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19.
CoRR, 2020
Deep Doubly Supervised Transfer Network for Diagnosis of Breast Cancer with Imbalanced Ultrasound Imaging Modalities.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Blind Separation of Doppler Human Gesture Signals Based on Continuous-Wave Radar Sensors.
IEEE Trans. Instrum. Meas., 2019
Concise Fuzzy System Modeling Integrating Soft Subspace Clustering and Sparse Learning.
IEEE Trans. Fuzzy Syst., 2019
Sparse Multiview Task-Centralized Ensemble Learning for ASD Diagnosis Based on Age- and Sex-Related Functional Connectivity Patterns.
IEEE Trans. Cybern., 2019
Weakly supervised label distribution learning based on transductive matrix completion with sample correlations.
Pattern Recognit. Lett., 2019
Multiple-relations-constrained image classification with limited training samples via Pareto optimization.
Neural Comput. Appl., 2019
J. Intell. Robotic Syst., 2019
IET Comput. Vis., 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Interpretable Feature Learning Using Multi-output Takagi-Sugeno-Kang Fuzzy System for Multi-center ASD Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
2018
Bioinspired In-Grid Navigation and Positioning Based on an Artificially Established Magnetic Gradient.
IEEE Trans. Veh. Technol., 2018
IEEE Trans. Instrum. Meas., 2018
Cascaded Hidden Space Feature Mapping, Fuzzy Clustering, and Nonlinear Switching Regression on Large Datasets.
IEEE Trans. Fuzzy Syst., 2018
Neurocomputing, 2018
Multi-view registration of unordered range scans by fast correspondence propagation of multi-scale descriptors.
CoRR, 2018
IEEE Access, 2018
A Novel Takagi-Sugeno Fuzzy System Modeling Method with Joint Feature Selection and Rule Reduction.
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018
2017
CoRR, 2017
Multi-view Registration Based on Weighted Low Rank and Sparse Matrix Decomposition of Motions.
CoRR, 2017
Effective scaling registration approach by imposing the emphasis on the scale factor.
CoRR, 2017
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017
2016
Pattern Recognit., 2016
Scalable learning method for feedforward neural networks using minimal-enclosing-ball approximation.
Neural Networks, 2016
2015
IEEE Trans. Cybern., 2015
Proceedings of the 2015 International Conference on Control, 2015
2014
IEEE Trans. Cybern., 2014
Double indices-induced FCM clustering and its integration with fuzzy subspace clustering.
Pattern Anal. Appl., 2014
Appl. Soft Comput., 2014
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014
2013
Fuzzy partition based soft subspace clustering and its applications in high dimensional data.
Inf. Sci., 2013
Weighted spherical 1-mean with phase shift and its application in electrocardiogram discord detection.
Artif. Intell. Medicine, 2013
2006
Dynamic Hierarchical Distributed Intrusion Detection System Based on Multi-Agent System.
Proceedings of the 2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2006