Jun Kong

According to our database, Jun Kong authored at least 46 papers between 2005 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2025

A Lightweight Hybrid Network for Object Detection in Remote Sensing Images Balancing Global and Local Information.

Shuting Huang, Ge Zhang, Huanzun Zhang, Hui Xu, Guangzhen Yao, Sandong Zhu, Long Zhang, Jun Kong

IEEE Geosci. Remote. Sens. Lett., 2025

BSDSGANet: Bidirectional Skip-stored Dual-Stream Gated Attention Network for multivariate time series classification.

Yugen Yi, Panpan Zhao, Hui Sheng, Min Liu, Shicheng Li, Jiangyan Dai, Jun Kong, Shaojie Qiao

Knowl. Based Syst., 2025

Temporal Action Localization with Cross Layer Task Decoupling and Refinement.

Qiang Li, Di Liu, Jun Kong, Sen Li, Hui Xu, Jianzhong Wang

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

An Adaptive Dual Selective Transformer for Temporal Action Localization.

Qiang Li, Guang Zu, Hui Xu, Jun Kong, Yanni Zhang, Jianzhong Wang

IEEE Trans. Multim., 2024

Self-ensembling with mask-boundary domain adaptation for optic disc and cup segmentation.

Yanlin He, Jun Kong, Di Liu, Juan Li, Caixia Zheng

Eng. Appl. Artif. Intell., 2024

BGF-Net: Boundary guided filter network for medical image segmentation.

Yanlin He, Yugen Yi, Caixia Zheng, Jun Kong

Comput. Biol. Medicine, 2024

2023

Multi-Scale Frequency Separation Network for Image Deblurring.

Yanni Zhang, Qiang Li, Miao Qi, Di Liu, Jun Kong, Jianzhong Wang

IEEE Trans. Circuits Syst. Video Technol., October, 2023

2022

Gaze Estimation via the Joint Modeling of Multiple Cues.

Wenhe Chen, Hui Xu, Chao Zhu, Xiaoli Liu, Yinghua Lu, Caixia Zheng, Jun Kong

IEEE Trans. Circuits Syst. Video Technol., 2022

Bottom-up improved multistage temporal convolutional network for action segmentation.

Wenhe Chen, Yuan Chai, Miao Qi, Hui Sun, Qi Pu, Jun Kong, Caixia Zheng

Appl. Intell., 2022

Double Closed-Loop Network for Image Deblurring.

Yiming Liu, Yanni Zhang, Qiang Li, Jun Kong, Miao Qi, Jianzhong Wang

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

A Lightweight Fusion Distillation Network for Image Deblurring and Deraining.

Yanni Zhang, Yiming Liu, Qiang Li, Jianzhong Wang, Miao Qi, Hui Sun, Hui Xu, Jun Kong

Sensors, 2021

Adaptive Attention Memory Graph Convolutional Networks for Skeleton-Based Action Recognition.

Di Liu, Hui Xu, Jianzhong Wang, Yinghua Lu, Jun Kong, Miao Qi

Sensors, 2021

Image Deblurring based on Lightweight Multi-Information Fusion Network.

Yanni Zhang, Yiming Liu, Qiang Li, Miao Qi, Dahong Xu, Jun Kong, Jianzhong Wang

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020

Non-Negative Matrix Factorization With Locality Constrained Adaptive Graph.

Yugen Yi, Jianzhong Wang, Wei Zhou, Caixia Zheng, Jun Kong, Shaojie Qiao

IEEE Trans. Circuits Syst. Video Technol., 2020

Spatiotemporal Interaction Residual Networks with Pseudo3D for Video Action Recognition.

Jianyu Chen, Jun Kong, Hui Sun, Hui Xu, Xiaoli Liu, Yinghua Lu, Caixia Zheng

Sensors, 2020

An Intelligent Multi-View Active Learning Method Based on a Double-Branch Network.

Fucong Liu, Tongzhou Zhang, Caixia Zheng, Yuanyuan Cheng, Xiaoli Liu, Miao Qi, Jun Kong, Jianzhong Wang

Entropy, 2020

Group Guided Fused Laplacian Sparse Group Lasso for Modeling Alzheimer's Disease Progression.

Xiaoli Liu, Jianzhong Wang, Fulong Ren, Jun Kong

Comput. Math. Methods Medicine, 2020

2019

Joint graph optimization and projection learning for dimensionality reduction.

Yugen Yi, Jianzhong Wang, Wei Zhou, Yuming Fang, Jun Kong, Yinghua Lu

Pattern Recognit., 2019

Fused Group Lasso Regularized Multi-Task Feature Learning and Its Application to the Cognitive Performance Prediction of Alzheimer's Disease.

Xiaoli Liu, Peng Cao, Jianzhong Wang, Jun Kong, Dazhe Zhao

Neuroinformatics, 2019

Scene Recognition via Semi-Supervised Multi-Feature Regression.

Caixia Zheng, Jianyu Chen, Jun Kong, Yugen Yi, Yinghua Lu, Jianzhong Wang, Chong Liu

IEEE Access, 2019

2018

Dimensionality Reduction via Multiple Locality-Constrained Graph Optimization.

Caixia Zheng, Rui Zhao, Fucong Liu, Jun Kong, Jianzhong Wang, Chao Bi, Yugen Yi

IEEE Access, 2018

Multicriteria-Based Active Discriminative Dictionary Learning for Scene Recognition.

Caixia Zheng, Yugen Yi, Miao Qi, Fucong Liu, Chao Bi, Jianzhong Wang, Jun Kong

IEEE Access, 2018

2017

Locality constrained Graph Optimization for Dimensionality Reduction.

Jianzhong Wang, Rui Zhao, Yang Wang, Caixia Zheng, Jun Kong, Yugen Yi

Neurocomputing, 2017

2016

Local structure co-occurrence pattern for image retrieval.

Ke Zhang, Fan Zhang, Jia Lu, Yinghua Lu, Jun Kong, Ming Zhang

J. Electronic Imaging, 2016

2015

An improved locality sensitive discriminant analysis approach for feature extraction.

Yugen Yi, Baoxue Zhang, Jun Kong, Jianzhong Wang

Multim. Tools Appl., 2015

Label propagation based semi-supervised non-negative matrix factorization for feature extraction.

Yugen Yi, Yanjiao Shi, Huijie Zhang, Jianzhong Wang, Jun Kong

Neurocomputing, 2015

Semi-supervised local ridge regression for local matching based face recognition.

Yugen Yi, Chao Bi, Xiaohui Li, Jianzhong Wang, Jun Kong

Neurocomputing, 2015

2014

A novel image retrieval method based on hybrid information descriptors.

Ming Zhang, Ke Zhang, Qinghe Feng, Jianzhong Wang, Jun Kong, Yinghua Lu

J. Vis. Commun. Image Represent., 2014

Face recognition using spatially smoothed discriminant structure-preserved projections.

Yugen Yi, Wei Zhou, Jianzhong Wang, Yanjiao Shi, Jun Kong

J. Electronic Imaging, 2014

Multiview saliency detection based on improved multimanifold ranking.

Yanjiao Shi, Yugen Yi, Ke Zhang, Jun Kong, Ming Zhang, Jianzhong Wang

J. Electronic Imaging, 2014

2013

Maximum weight and minimum redundancy: A novel framework for feature subset selection.

Jianzhong Wang, Lishan Wu, Jun Kong, Yuxin Li, Baoxue Zhang

Pattern Recognit., 2013

A Novel Image Retrieval Method Based on Mutual Information Descriptors.

Gang Hou, Ke Zhang, Xiaoxue Zhang, Jun Kong, Ming Zhang

Proceedings of the Intelligent Computing Theories and Technology, 2013

2011

A structure-preserved local matching approach for face recognition.

Jianzhong Wang, Zhiqiang Ma, Baoxue Zhang, Miao Qi, Jun Kong

Pattern Recognit. Lett., 2011

Content-Based Biometric Image Hiding Approach.

Miao Qi, Jun Kong, Yinghua Lu, Ning Du, Zhiqiang Ma

Int. J. Pattern Recognit. Artif. Intell., 2011

2010

An adaptively weighted sub-pattern locality preserving projection for face recognition.

Jianzhong Wang, Baoxue Zhang, Shuyan Wang, Miao Qi, Jun Kong

J. Netw. Comput. Appl., 2010

Linear discriminant projection embedding based on patches alignment.

Jianzhong Wang, Baoxue Zhang, Miao Qi, Jun Kong

Image Vis. Comput., 2010

2009

Relative Transformation with CamNN Applied to Isometric Embedding.

Lintian Ma, Shuyan Wang, Jianzhong Wang, Baowei Fu, Jun Kong

Proceedings of the 2009 Second International Symposium on Computational Intelligence and Design, 2009

2008

A modified FCM algorithm for MRI brain image segmentation using both local and non-local spatial constraints.

Jianzhong Wang, Jun Kong, Yinghua Lu, Miao Qi, Baoxue Zhang

Comput. Medical Imaging Graph., 2008

Graph theory based algorithm for magnetic resonance brain images segmentation.

Jianzhong Wang, Di Liu, Lili Dou, Baoxue Zhang, Jun Kong, Yinghua Lu

Proceedings of the 8th IEEE International Conference on Bioinformatics and Bioengineering, 2008

Local-based fuzzy clustering for segmentation of MR brain images.

Jianzhong Wang, Lili Dou, Na Che, Di Liu, Baoxue Zhang, Jun Kong

Proceedings of the 8th IEEE International Conference on Bioinformatics and Bioengineering, 2008

2007

Iris Verification Using Wavelet Moments and Neural Network.

Zhiqiang Ma, Miao Qi, Haifeng Kang, Shuhua Wang, Jun Kong

Proceedings of the Life System Modeling and Simulation, International Conference, 2007

Local-based Fuzzy Clustering Algorithm for Magnetic Resonance Brain Images Corrupted by Intensity Heterogeneity.

Jun Kong, Na Che, Jianzhong Wang, Yinghua Lu, Wenjing Lu, Baoxue Zhang

Proceedings of the Proceeding of the Second International Multi-Symposium of Computer and Computational Sciences (IMSCCS 2007), 2007

A Modified Fuzzy Kohonen's Competitive Learning Algorithms Incorporating Local Information for MR Image Segmentation.

Jun Kong, Wenjing Lu, Jianzhong Wang, Na Che, Yinghua Lu

Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007

2006

Segmentation of 3-D MRI Brain Images Using Information Propagation.

Jianzhong Wang, Jun Kong, Yinghua Lu, Jingdan Zhang, Baoxue Zhang

Proceedings of the Medical Imaging and Augmented Reality, 2006

An Integrated Algorithm for MRI Brain Images Segmentation.

Yinghua Lu, Jianzhong Wang, Jun Kong, Baoxue Zhang, Jingdan Zhang

Proceedings of the Computer Vision Approaches to Medical Image Analysis, 2006

2005

A Novel Approach for Adaptive Unsupervised Segmentation of MRI Brain Images.

Jun Kong, Jingdan Zhang, Yinghua Lu, Jianzhong Wang, Yanjun Zhou

Proceedings of the MICAI 2005: Advances in Artificial Intelligence, 2005