Jun Wang

Orcid: 0000-0001-9548-0411

Affiliations:
  • 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 103 papers between 2006 and 2024.

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Timeline

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Bibliography

2024
Multimodal Co-Attention Fusion Network With Online Data Augmentation for Cancer Subtype Classification.
IEEE Trans. Medical Imaging, November, 2024

Convolutional Fuzzy Neural Networks With Random Weights for Image Classification.
IEEE Trans. Emerg. Top. Comput. Intell., October, 2024

Cost-Sensitive Weighted Contrastive Learning Based on Graph Convolutional Networks for Imbalanced Alzheimer's Disease Staging.
IEEE Trans. Medical Imaging, September, 2024

Involution Transformer Based U-Net for Landmark Detection in Ultrasound Images for Diagnosis of Infantile DDH.
IEEE J. Biomed. Health Informatics, August, 2024

Weakly Supervised Lesion Detection and Diagnosis for Breast Cancers With Partially Annotated Ultrasound Images.
IEEE Trans. Medical Imaging, July, 2024

Correction to: Multi-View Feature Transformation Based SVM+ for Computer-Aided Diagnosis of Liver Cancers With Ultrasound Image.
IEEE J. Biomed. Health Informatics, July, 2024

Adaptive Multimodel Knowledge Transfer Matrix Machine for EEG Classification.
IEEE Trans. Neural Networks Learn. Syst., June, 2024

Pseudo-Data Based Self-Supervised Federated Learning for Classification of Histopathological Images.
IEEE Trans. Medical Imaging, March, 2024

Multi-View disentanglement-based bidirectional generalized distillation for diagnosis of liver cancers with ultrasound images.
Inf. Process. Manag., 2024

Few sampling meshes-based 3D tooth segmentation via region-aware graph convolutional network.
Expert Syst. Appl., 2024

B-mode ultrasound-based CAD by learning using privileged information with dual-level missing modality completion.
Comput. Biol. Medicine, 2024

Dual-domain MIM based contrastive learning for CAD of developmental dysplasia of the hip with ultrasound images.
Biomed. Signal Process. Control., 2024

Topological GCN for Improving Detection of Hip Landmarks from B-Mode Ultrasound Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023
Multi-Scale Efficient Graph-Transformer for Whole Slide Image Classification.
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

Hybrid-supervised bidirectional transfer networks for computer-aided diagnosis.
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

ML-DSVM+: A meta-learning based deep SVM+ for computer-aided diagnosis.
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

Multi-scale Efficient Graph-Transformer for Whole Slide Image Classification.
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

Multi-scale Prototypical Transformer for Whole Slide Image Classification.
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

Self-Supervised Bi-Channel Transformer Networks for Computer-Aided Diagnosis.
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

Robust Multi-Label Relief Feature Selection Based on Fuzzy Margin Co-Optimization.
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

Dual Representation Learning for One-Step Clustering of Multi-View Data.
CoRR, 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

A Channel Attention Based MLP-Mixer Network for Motor Imagery Decoding With EEG.
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

Transfer Representation Learning With TSK Fuzzy System.
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

Bidirectional loss function for Label Enhancement and distribution learning.
Knowl. Based Syst., 2021

Lightweight adaptive weighted network for single image super-resolution.
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

Feature concatenation multi-view subspace clustering.
Neurocomputing, 2020

Projective parameter transfer based sparse multiple empirical kernel learning Machine for diagnosis of brain disease.
Neurocomputing, 2020

Fuzzy Clustering with Self-growing Net.
Int. J. Fuzzy Syst., 2020

Consistent and Complementary Graph Regularized Multi-view Subspace Clustering.
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

Label Enhancement with Sample Correlations via Low-Rank Representation.
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

Simultaneous Merging Multiple Grid Maps Using the Robust Motion Averaging.
J. Intell. Robotic Syst., 2019

Multi-view registration based on weighted LRS matrix decomposition of motions.
IET Comput. Vis., 2019

Joint Information Preservation for Heterogeneous Domain Adaptation.
CoRR, 2019

Feature Concatenation Multi-view Subspace Clustering.
CoRR, 2019

Transfer Representation Learning with TSK Fuzzy System.
CoRR, 2019

Deep Multi-modal Latent Representation Learning for Automated Dementia Diagnosis.
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

Wireless Indoor Positioning With Vertically Uniform Alternating Magnetic Fields.
IEEE Trans. Instrum. Meas., 2018

Cascaded Hidden Space Feature Mapping, Fuzzy Clustering, and Nonlinear Switching Regression on Large Datasets.
IEEE Trans. Fuzzy Syst., 2018

Scalable transfer support vector machine with group probabilities.
Neurocomputing, 2018

Multi-view registration of unordered range scans by fast correspondence propagation of multi-scale descriptors.
CoRR, 2018

Multi-Task Multi-View Learning Based on Cooperative Multi-Objective Optimization.
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
K-means clustering for efficient and robust registration of multi-view point sets.
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

A-MapCG: An Adaptive MapReduce Framework for GPUs.
Proceedings of the 2017 International Conference on Networking, Architecture, and Storage, 2017

Sparse Multi-view Task-Centralized Learning for ASD Diagnosis.
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017

2016
Distance metric learning for soft subspace clustering in composite kernel space.
Pattern Recognit., 2016

Scalable learning method for feedforward neural networks using minimal-enclosing-ball approximation.
Neural Networks, 2016

A survey on soft subspace clustering.
Inf. Sci., 2016

Compile-Time Automatic Synchronization Insertion and Redundant Synchronization Elimination for GPU Kernels.
Proceedings of the 22nd IEEE International Conference on Parallel and Distributed Systems, 2016

2015
Collaborative Fuzzy Clustering From Multiple Weighted Views.
IEEE Trans. Cybern., 2015

A fast learning method for feedforward neural networks.
Neurocomputing, 2015

LSRB-CSR: A Low Overhead Storage Format for SpMV on the GPU Systems.
Proceedings of the 21st IEEE International Conference on Parallel and Distributed Systems, 2015

Domain adaptation via support vector machine based on scatter difference.
Proceedings of the 2015 International Conference on Control, 2015

2014
Kernel Density Estimation, Kernel Methods, and Fast Learning in Large Data Sets.
IEEE Trans. Cybern., 2014

Double indices-induced FCM clustering and its integration with fuzzy subspace clustering.
Pattern Anal. Appl., 2014

A Survey on Soft Subspace Clustering.
CoRR, 2014

Least learning machine and its experimental studies on regression capability.
Appl. Soft Comput., 2014

Multiple-kernel based soft subspace fuzzy clustering.
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

2007
An Intrusion Detection Model Based on Intention Modeling.
Proceedings of the 2007 International Conference on Security & Management, 2007

2006
Using an improved C4.5 for imbalanced dataset of intrusion.
Proceedings of the 2006 International Conference on Privacy, 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


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