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ORCIDJianzhong Wang 0003
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2020 – today
- 2026
[j40]Pengfei Wang
, Shuhan Liu, Qiang Li, Yugen Yi, Jianzhong Wang:
MG-Mono: A lightweight multi-granularity method for self-supervised monocular depth estimation. Pattern Recognit. 171: 112223 (2026)- 2025
- [j39]Yanni Zhang, Lei Yang, Licai Zhu, Caigen Zhou, Yaser Ahangari Nanehkaran, Jianzhong Wang:
A Deep Supervised Change Detection Network Based on Context-Rich Information. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 18: 21564-21577 (2025) - [j38]Yugen Yi, Ningyi Zhang, Zehui Zhang, Yijian Fu, Lei Chen, Jianzhong Wang:
EMLFCL: An Efficient Multilevel Fusion Contrastive Learning for Multiview Clustering. IEEE Trans. Neural Networks Learn. Syst. 36(8): 14228-14242 (2025) - [j37]Qiang Li, Di Liu, Guang Zu, Sen Li, Hui Sun, Jianzhong Wang:
Multigranularity Feature Aggregation and Cross-level Boundary Modeling for Temporal Action Detection. ACM Trans. Multim. Comput. Commun. Appl. 21(3): 90:1-90:24 (2025) - 2024
- [j36]Longjun Huang, Ningyi Zhang, Yugen Yi, Wei Zhou, Bin Zhou, Jiangyan Dai, Jianzhong Wang:
SAMCF: Adaptive global style alignment and multi-color spaces fusion for joint optic cup and disc segmentation. Comput. Biol. Medicine 178: 108639 (2024) - [j35]Yugen Yi, Ningyi Zhang, Wei Zhou, Yanjiao Shi, Gengsheng Xie, Jianzhong Wang:
GPONet: A two-stream gated progressive optimization network for salient object detection. Pattern Recognit. 150: 110330 (2024) - [j34]Qiang Li, Guang Zu, Hui Xu, Jun Kong, Yanni Zhang, Jianzhong Wang:
An Adaptive Dual Selective Transformer for Temporal Action Localization. IEEE Trans. Multim. 26: 7398-7412 (2024) - 2023
- [j33]Shumin Lai, Longjun Huang, Ping Li, Zhenzhen Luo, Jianzhong Wang, Yugen Yi:
RMFRASL: Robust Matrix Factorization with Robust Adaptive Structure Learning for Feature Selection. Algorithms 16(1): 14 (2023) - [j32]Yugen Yi, Shumin Lai, Shicheng Li, Jiangyan Dai, Wenle Wang, Jianzhong Wang:
RRNMF-MAGL: Robust regularization non-negative matrix factorization with multi-constraint adaptive graph learning for dimensionality reduction. Inf. Sci. 640: 119029 (2023) - [j31]Yanni Zhang, Qiang Li, Miao Qi, Di Liu, Jun Kong, Jianzhong Wang:
Multi-Scale Frequency Separation Network for Image Deblurring. IEEE Trans. Circuits Syst. Video Technol. 33(10): 5525-5537 (2023) - 2022
- [j30]Wenle Wang, Wei Zhou, Jianhang Ji, Jikun Yang, Wei Guo, Zhaoxuan Gong, Yugen Yi, Jianzhong Wang:
Deep sparse autoencoder integrated with three-stage framework for glaucoma diagnosis. Int. J. Intell. Syst. 37(10): 7944-7967 (2022) - [j29]Yugen Yi, Shumin Lai, Wenle Wang, Shicheng Li, Renbo Zhang, Yong Luo, Wei Zhou, Jianzhong Wang:
SDNMF: Semisupervised discriminative nonnegative matrix factorization for feature learning. Int. J. Intell. Syst. 37(12): 11547-11581 (2022) - [c17]Yiming Liu, Yanni Zhang, Qiang Li, Jun Kong, Miao Qi, Jianzhong Wang:
Double Closed-Loop Network for Image Deblurring. ICASSP 2022: 2325-2329 - [c16]Yanni Zhang, Hui Xu, Jingxuan Fan, Miao Qi, Tao Liu, Jianzhong Wang:
Joint Semantic Segmentation and Object Detection Based on Relational Mask R-CNN. ICIC (1) 2022: 506-521 - [i1]Yanni Zhang, Qiang Li, Miao Qi, Di Liu, Jun Kong, Jianzhong Wang:
Multi-scale frequency separation network for image deblurring. CoRR abs/2206.00798 (2022) - 2021
- [j28]Yanni Zhang, Yiming Liu, Qiang Li, Jianzhong Wang, Miao Qi, Hui Sun, Hui Xu, Jun Kong:
A Lightweight Fusion Distillation Network for Image Deblurring and Deraining. Sensors 21(16): 5312 (2021) - [j27]Di Liu, Hui Xu, Jianzhong Wang, Yinghua Lu, Jun Kong, Miao Qi:
Adaptive Attention Memory Graph Convolutional Networks for Skeleton-Based Action Recognition. Sensors 21(20): 6761 (2021) - [c15]Yanni Zhang, Yiming Liu, Qiang Li, Miao Qi, Dahong Xu, Jun Kong, Jianzhong Wang:
Image Deblurring based on Lightweight Multi-Information Fusion Network. ICIP 2021: 1724-1728 - 2020
- [j26]Xiaoli Liu, Jianzhong Wang, Fulong Ren, Jun Kong:
Group Guided Fused Laplacian Sparse Group Lasso for Modeling Alzheimer's Disease Progression. Comput. Math. Methods Medicine 2020: 4036560:1-4036560:23 (2020) - [j25]Fucong Liu, Tongzhou Zhang, Caixia Zheng, Yuanyuan Cheng, Xiaoli Liu, Miao Qi, Jun Kong, Jianzhong Wang:
An Intelligent Multi-View Active Learning Method Based on a Double-Branch Network. Entropy 22(8): 901 (2020) - [j24]Yugen Yi, Yuqi Chen, Jianzhong Wang, Gang Lei, Jiangyan Dai, Huihui Zhang:
Joint feature representation and classification via adaptive graph semi-supervised nonnegative matrix factorization. Signal Process. Image Commun. 89: 115984 (2020) - [j23]Yugen Yi, Jianzhong Wang, Wei Zhou, Caixia Zheng, Jun Kong, Shaojie Qiao:
Non-Negative Matrix Factorization With Locality Constrained Adaptive Graph. IEEE Trans. Circuits Syst. Video Technol. 30(2): 427-441 (2020)
2010 – 2019
- 2019
- [j22]Caixia Zheng, Jianyu Chen, Jun Kong, Yugen Yi, Yinghua Lu, Jianzhong Wang, Chong Liu:
Scene Recognition via Semi-Supervised Multi-Feature Regression. IEEE Access 7: 121612-121628 (2019) - [j21]Xiaoli Liu, Peng Cao, Jianzhong Wang, Jun Kong, Dazhe Zhao:
Fused Group Lasso Regularized Multi-Task Feature Learning and Its Application to the Cognitive Performance Prediction of Alzheimer's Disease. Neuroinformatics 17(2): 271-294 (2019) - [j20]Yugen Yi, Jianzhong Wang, Wei Zhou, Yuming Fang, Jun Kong, Yinghua Lu:
Joint graph optimization and projection learning for dimensionality reduction. Pattern Recognit. 92: 258-273 (2019) - 2018
- [j19]Caixia Zheng, Yugen Yi, Miao Qi, Fucong Liu, Chao Bi, Jianzhong Wang, Jun Kong:
Multicriteria-Based Active Discriminative Dictionary Learning for Scene Recognition. IEEE Access 6: 4416-4426 (2018) - [j18]Caixia Zheng, Rui Zhao, Fucong Liu, Jun Kong, Jianzhong Wang, Chao Bi, Yugen Yi:
Dimensionality Reduction via Multiple Locality-Constrained Graph Optimization. IEEE Access 6: 54479-54494 (2018) - [j17]Wei Zhou, Chengdong Wu, Jianzhong Wang, Xiaosheng Yu, Yugen Yi:
Double regularized matrix factorization for image classification and clustering. EURASIP J. Image Video Process. 2018: 49 (2018) - [j16]Miao Qi, Ting Wang, Fucong Liu, Baoxue Zhang, Jianzhong Wang, Yugen Yi:
Unsupervised feature selection by regularized matrix factorization. Neurocomputing 273: 593-610 (2018) - [j15]Yugen Yi, Shaojie Qiao, Wei Zhou, Caixia Zheng, Qinghua Liu, Jianzhong Wang:
Adaptive multiple graph regularized semi-supervised extreme learning machine. Soft Comput. 22(11): 3545-3562 (2018) - [j14]Yugen Yi, Wei Zhou, Qinghua Liu, Guoliang Luo, Jianzhong Wang, Yuming Fang, Caixia Zheng:
Ordinal preserving matrix factorization for unsupervised feature selection. Signal Process. Image Commun. 67: 118-131 (2018) - 2017
- [j13]Jianzhong Wang, Rui Zhao, Yang Wang, Caixia Zheng, Jun Kong, Yugen Yi:
Locality constrained Graph Optimization for Dimensionality Reduction. Neurocomputing 245: 55-67 (2017) - [j12]Jiuwen Cao, Wei Wang, Jianzhong Wang, Ruirong Wang:
Excavation Equipment Recognition Based on Novel Acoustic Statistical Features. IEEE Trans. Cybern. 47(12): 4392-4404 (2017) - [c14]Miao Qi, Shuang Lu, Xing Huang, Lin Yang, Chengrong Gong, Jianzhong Wang, Yuanyuan Gu:
Dimensionality reduction via representation and affinity learning. ICSAI 2017: 1203-1208 - 2016
- [c13]Yugen Yi, Wei Zhou, Yuanlong Cao, Qinghua Liu, Jianzhong Wang:
Unsupervised Feature Selection with Graph Regularized Nonnegative Self-representation. CCBR 2016: 591-599 - [c12]Yugen Yi, Wei Zhou, Yanjiao Shi, Guoliang Luo, Jianzhong Wang:
Adaptively Weighted Structure Preserved Projections for Face Recognition. CCPR (1) 2016: 461-473 - 2015
- [j11]Yugen Yi, Yanjiao Shi, Huijie Zhang, Jianzhong Wang, Jun Kong:
Label propagation based semi-supervised non-negative matrix factorization for feature extraction. Neurocomputing 149: 1021-1037 (2015) - [j10]Yugen Yi, Chao Bi, Xiaohui Li, Jianzhong Wang, Jun Kong:
Semi-supervised local ridge regression for local matching based face recognition. Neurocomputing 167: 132-146 (2015) - [j9]Yugen Yi, Baoxue Zhang, Jun Kong, Jianzhong Wang:
An improved locality sensitive discriminant analysis approach for feature extraction. Multim. Tools Appl. 74(1): 85-104 (2015) - 2014
- [j8]Yugen Yi, Wei Zhou, Jianzhong Wang, Yanjiao Shi, Jun Kong:
Face recognition using spatially smoothed discriminant structure-preserved projections. J. Electronic Imaging 23(2): 023012 (2014) - [j7]Yanjiao Shi, Yugen Yi, Ke Zhang, Jun Kong, Ming Zhang, Jianzhong Wang:
Multiview saliency detection based on improved multimanifold ranking. J. Electronic Imaging 23(6): 061113 (2014) - [j6]Ming Zhang, Ke Zhang, Qinghe Feng, Jianzhong Wang, Jun Kong, Yinghua Lu:
A novel image retrieval method based on hybrid information descriptors. J. Vis. Commun. Image Represent. 25(7): 1574-1587 (2014) - [c11]Yan Guo, Xiaohui Li, Yugen Yi, Yunyan Wei, Jianzhong Wang:
Adaptive Weighted Label Propagation for Local Matching Based Face Recognition. CCBR 2014: 78-85 - [c10]Yan Jin, Lisi Wei, Yugen Yi, Jianzhong Wang:
Structure Constrained Discriminative Non-negative Matrix Factorization for Feature Extraction. ICIC (2) 2014: 645-657 - 2013
- [j5]Jianzhong Wang, Lishan Wu, Jun Kong, Yuxin Li, Baoxue Zhang:
Maximum weight and minimum redundancy: A novel framework for feature subset selection. Pattern Recognit. 46(6): 1616-1627 (2013) - 2011
- [j4]Jianzhong Wang, Zhiqiang Ma, Baoxue Zhang, Miao Qi, Jun Kong:
A structure-preserved local matching approach for face recognition. Pattern Recognit. Lett. 32(3): 494-504 (2011) - [c9]Wenfeng Han, Jianwei Dong, Yuting Guo, Ming Zhang, Jianzhong Wang:
Identification of Masses in Digital Mammogram Using an Optimal Set of Features. TrustCom 2011: 1763-1768 - 2010
- [j3]Jianzhong Wang, Baoxue Zhang, Miao Qi, Jun Kong:
Linear discriminant projection embedding based on patches alignment. Image Vis. Comput. 28(12): 1624-1636 (2010) - [j2]Jianzhong Wang, Baoxue Zhang, Shuyan Wang, Miao Qi, Jun Kong:
An adaptively weighted sub-pattern locality preserving projection for face recognition. J. Netw. Comput. Appl. 33(3): 323-332 (2010)
2000 – 2009
- 2009
- [c8]Lintian Ma, Shuyan Wang, Jianzhong Wang, Baowei Fu, Jun Kong:
Relative Transformation with CamNN Applied to Isometric Embedding. ISCID (1) 2009: 6-10 - 2008
- [j1]Jianzhong Wang, Jun Kong, Yinghua Lu, Miao Qi, Baoxue Zhang:
A modified FCM algorithm for MRI brain image segmentation using both local and non-local spatial constraints. Comput. Medical Imaging Graph. 32(8): 685-698 (2008) - [c7]Jianzhong Wang, Lili Dou, Na Che, Di Liu, Baoxue Zhang, Jun Kong:
Local-based fuzzy clustering for segmentation of MR brain images. BIBE 2008: 1-5 - [c6]Jianzhong Wang, Di Liu, Lili Dou, Baoxue Zhang, Jun Kong, Yinghua Lu:
Graph theory based algorithm for magnetic resonance brain images segmentation. BIBE 2008: 1-5 - [c5]Jianzhong Wang, Ling Liu, Juan Chen:
Combination of Genetic Algorithm and Support Vector Machine for Daily Flow Forecasting. ICNC (2) 2008: 31-35 - 2007
- [c4]Jun Kong, Wenjing Lu, Jianzhong Wang, Na Che, Yinghua Lu:
A Modified Fuzzy Kohonen's Competitive Learning Algorithms Incorporating Local Information for MR Image Segmentation. BIBE 2007: 647-653 - 2006
- [c3]Yinghua Lu, Jianzhong Wang, Jun Kong, Baoxue Zhang, Jingdan Zhang:
An Integrated Algorithm for MRI Brain Images Segmentation. CVAMIA 2006: 132-142 - [c2]Jianzhong Wang, Jun Kong, Yinghua Lu, Jingdan Zhang, Baoxue Zhang:
Segmentation of 3-D MRI Brain Images Using Information Propagation. MIAR 2006: 348-355 - 2005
- [c1]Jun Kong, Jingdan Zhang, Yinghua Lu, Jianzhong Wang, Yanjun Zhou:
A Novel Approach for Adaptive Unsupervised Segmentation of MRI Brain Images. MICAI 2005: 918-927
Coauthor Index
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