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2020 – today
- 2025
[j62]Binlong Yu, Lei Cao, Jie Jia, Chunjiang Fan, Yilin Dong, Changming Zhu:
E-FNet: A EEG-fNIRS dual-stream model for Brain-Computer Interfaces. Biomed. Signal Process. Control. 100: 106943 (2025)- 2024
- [j61]Yilin Dong
, Yuzhuo Xu, Rigui Zhou, Changming Zhu, Jin Liu, Jiamin Song, Xinliang Wu:
Ensemble based fully convolutional transformer network for time series classification. Appl. Intell. 54(19): 8800-8819 (2024) - [j60]Kun Zhang, Changming Zhu, Junli Li, Kuntao Shi, Xin Zhang:
Reconstruction of dense time series high spatial resolution NDVI data using a spatiotemporal optimal weighted combination estimation model based on Sentinel-2 and MODIS. Ecol. Informatics 82: 102725 (2024) - [j59]Shengcheng Liu, Changming Zhu, Zishi Li, Zhiyuan Yang, Wenjie Gu:
View-Driven Multi-View Clustering via Contrastive Double-Learning. Entropy 26(6): 470 (2024) - [j58]Yilin Dong, Ningning Jiang, Rigui Zhou, Changming Zhu, Lei Cao, Tianyu Liu, Yuzhuo Xu, Xinde Li:
A novel multi-criteria conflict evidence combination method and its application to pattern recognition. Inf. Fusion 108: 102346 (2024) - [j57]Zishi Li, Changming Zhu:
Self-supervised graph clustering via attention auto-encoder with distribution specificity. Multim. Syst. 30(3): 150 (2024) - [j56]Zhiyuan Yang, Changming Zhu, Zishi Li:
Deep contrastive multi-view clustering with doubly enhanced commonality. Multim. Syst. 30(4): 196 (2024) - [j55]Sicheng Xue, Changming Zhu:
SADCL-Net: Sparse-driven Attention with Dual-Consistency Learning Network for Incomplete Multi-view Clustering. Multim. Syst. 30(5): 280 (2024) - [j54]Hui Zhang, Wei Liu, Changming Zhu, Hao Niu, Pengcheng Yin, Shiling Dong, Jialin Wu, Erzhu Li, Lianpeng Zhang:
Nonagriculturalization Detection Based on Vector Polygons and Contrastive Learning With High-Resolution Remote Sensing Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 18474-18488 (2024) - [j53]Hui Zhang, Wei Liu, Hao Niu, Pengcheng Yin, Shiling Dong, Jialin Wu, Erzhu Li, Lianpeng Zhang, Changming Zhu:
Land Cover Change Detection Based on Vector Polygons and Deep Learning With High-Resolution Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 62: 1-18 (2024) - [j52]Lai Wei, Shiteng Liu, Rigui Zhou, Changming Zhu, Jin Liu:
Learning Idempotent Representation for Subspace Clustering. IEEE Trans. Knowl. Data Eng. 36(3): 1183-1197 (2024) - 2023
- [j51]Changming Zhu, Yanchen Liu, Duoqian Miao, Yilin Dong, Witold Pedrycz:
Within- cross- consensus-view representation-based multi-view multi-label learning with incomplete data. Neurocomputing 557: 126729 (2023) - [j50]Yanhao Zhang, Changming Zhu:
Incomplete multi-view clustering via attention-based contrast learning. Int. J. Mach. Learn. Cybern. 14(12): 4101-4117 (2023) - [j49]Changming Zhu, Jiyun Zhao, Shizhe Hu, Yilin Dong, Lei Cao, Fan Zhou, Yuhu Shi, Lai Wei, Rigui Zhou:
A simple multiple-fold correlation-based multi-view multi-label learning. Neural Comput. Appl. 35(14): 10407-10420 (2023) - [j48]Kun Zhang, Changming Zhu, Xiaodong Ma, Xin Zhang, Dehu Yang, Yakui Shao:
Spatiotemporal Variation Characteristics and Dynamic Persistence Analysis of Carbon Sources/Sinks in the Yellow River Basin. Remote. Sens. 15(2): 323 (2023) - [j47]Jian Zhou, Yingjie Li, Qingmiao Ma, Qiaomiao Liu, Weiguo Li, Zilu Miao, Changming Zhu:
Window-Based Filtering Aerosol Retrieval Algorithm of Fine-Scale Remote Sensing Images: A Case Using Sentinel-2 Data in Beijing Region. Remote. Sens. 15(8): 2172 (2023) - [j46]Yilin Dong, Kunhai Xu, Changming Zhu, Enguang Guan, Yihai Liu:
E-FPN: Evidential Feature Pyramid Network for Ship Classification. Remote. Sens. 15(15): 3916 (2023) - [j45]Xinxin Hu, Changming Zhu:
Shared-Weight-Based Multi-Dimensional Feature Alignment Network for Oriented Object Detection in Remote Sensing Imagery. Sensors 23(1): 207 (2023) - [j44]Yilin Dong, Xinde Li, Jean Dezert, Rigui Zhou, Changming Zhu, Lei Cao, Mohammad Omar Khyam, Shuzhi Sam Ge:
Multisource Weighted Domain Adaptation With Evidential Reasoning for Activity Recognition. IEEE Trans. Ind. Informatics 19(4): 5530-5542 (2023) - [c16]Lai Wei, Zhengwei Chen, Jun Yin, Changming Zhu, Rigui Zhou, Jin Liu:
Adaptive Graph Convolutional Subspace Clustering. CVPR 2023: 6262-6271 - [c15]Jiajia Xu, Changming Zhu:
E-Yolov7: A Life Jacket Detection Algorithm Based on Yolov7. FSDM 2023: 456-462 - [i2]Lai Wei, Zhengwei Chen, Jun Yin, Changming Zhu, Rigui Zhou, Jin Liu:
Adaptive Graph Convolutional Subspace Clustering. CoRR abs/2305.03414 (2023) - 2022
- [j43]Lai Wei, Fanfan Zhang, Zhengwei Chen, Rigui Zhou, Changming Zhu:
Subspace clustering via adaptive least square regression with smooth affinities. Knowl. Based Syst. 239: 107950 (2022) - [j42]Changming Zhu, Dujuan Cao, Shuaiping Guo, Rigui Zhou, Lai Wei, Yilin Dong, Duoqian Miao:
Weak-label-based global and local multi-view multi-label learning with three-way clustering. Int. J. Mach. Learn. Cybern. 13(5): 1337-1354 (2022) - [j41]Changming Zhu, Shuaiping Guo, Dujuan Cao, YiTing Zhou, Duoqian Miao, Witold Pedrycz:
Multi-view multi-label-based online method with threefold correlations and dynamic updating multi-region. Neural Comput. Appl. 34(8): 6097-6117 (2022) - [j40]Dujuan Cao, Changming Zhu, Xinxin Hu, Rigui Zhou:
Semantic-Edge-Supervised Single-Stage Detector for Oriented Object Detection in Remote Sensing Imagery. Remote. Sens. 14(15): 3637 (2022) - [j39]Changming Zhu, Qian Shen, Kun Zhang, Xin Zhang, Junli Li:
Multiscale Detection and Assessment of Vegetation Eco-Environmental Restoration following Ecological Water Compensation in the Lower Reaches of the Tarim River, China. Remote. Sens. 14(22): 5855 (2022) - [j38]Changming Zhu, Lin Ma:
Multi-view Multi-label Learning with Incomplete Views and Labels. SN Comput. Sci. 3(1): 73 (2022) - [j37]Jiacheng Shi, Wei Liu, Yihu Zhu, Shengli Wang, Sibao Hao, Changming Zhu, Haoyu Shan, Erzhu Li, Xing Li, Lianpeng Zhang:
Fine Object Change Detection Based on Vector Boundary and Deep Learning With High-Resolution Remote Sensing Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 4094-4103 (2022) - [j36]Lai Wei, Fenfen Ji, Hao Liu, Rigui Zhou, Changming Zhu, Xiafen Zhang:
Subspace Clustering via Structured Sparse Relation Representation. IEEE Trans. Neural Networks Learn. Syst. 33(9): 4610-4623 (2022) - [c14]Shuaiping Guo, Changming Zhu:
Cascaded ASPP and Attention Mechanism-based Deeplabv3+ Semantic Segmentation Model. CCIS 2022: 315-318 - [c13]Yawen Fan, Changming Zhu:
Super-resolution reconstruction of underwater sonar image based on multi-scale feature fusion. ICCIR 2022: 898-901 - [i1]Lai Wei, Shiteng Liu, Rigui Zhou, Changming Zhu:
Learning idempotent representation for subspace clustering. CoRR abs/2207.14431 (2022) - 2021
- [j35]Li-An Liu, Ren-Min Yang, Xin Zhang, Changming Zhu, Zhong-Qi Zhang:
A Mechanistic Approach for Modeling Soil Development Using Remotely Sensed Data Collected from Invaded Coasts. Remote. Sens. 13(4): 564 (2021) - [j34]Qinqin Fan, Xuefeng Yan, Yilian Zhang, Changming Zhu:
A Variable Search Space Strategy Based on Sequential Trust Region Determination Technique. IEEE Trans. Cybern. 51(5): 2712-2724 (2021) - [j33]Yilin Dong, Xinde Li, Jean Dezert, Rigui Zhou, Changming Zhu, Lai Wei, Shuzhi Sam Ge:
Evidential Reasoning With Hesitant Fuzzy Belief Structures for Human Activity Recognition. IEEE Trans. Fuzzy Syst. 29(12): 3607-3619 (2021) - 2020
- [j32]Changming Zhu, Duoqian Miao, Zhe Wang, Rigui Zhou, Lai Wei, Xiafen Zhang:
Global and local multi-view multi-label learning. Neurocomputing 371: 67-77 (2020) - [j31]Changming Zhu, Panhong Wang, Lin Ma, Rigui Zhou, Lai Wei:
Global and local multi-view multi-label learning with incomplete views and labels. Neural Comput. Appl. 32(18): 15007-15028 (2020) - [j30]Changming Zhu, Duoqian Miao:
Entropy-based multi-view matrix completion for clustering with side information. Pattern Anal. Appl. 23(1): 359-370 (2020) - [j29]Lai Wei, Rigui Zhou, Changming Zhu, Xiafen Zhang, Jun Yin:
Adaptive graph-regularized fixed rank representation for subspace segmentation. Pattern Anal. Appl. 23(1): 443-453 (2020) - [j28]Changming Zhu, Chao Chen, Rigui Zhou, Lai Wei, Xiafen Zhang:
A new multi-view learning machine with incomplete data. Pattern Anal. Appl. 23(3): 1085-1116 (2020) - [j27]Changming Zhu, Duoqian Miao, Rigui Zhou, Lai Wei:
Weight-and-Universum-based semi-supervised multi-view learning machine. Soft Comput. 24(14): 10657-10679 (2020) - [c12]Changming Zhu, Lin Ma, Panhong Wang, Duoqian Miao:
Multi-view and Multi-label Method with Three-Way Decision-Based Clustering. PRCV (2) 2020: 69-80
2010 – 2019
- 2019
- [j26]Changming Zhu, Duoqian Miao:
Influence of kernel clustering on an RBFN. CAAI Trans. Intell. Technol. 4(4): 255-260 (2019) - [j25]Lai Wei, Rigui Zhou, Xiaofeng Wang, Changming Zhu, Jun Yin, Xiafen Zhang:
Subspace segmentation via self-regularized latent K-means. Expert Syst. Appl. 136: 316-326 (2019) - [j24]Changming Zhu, Chengjiu Mei, Rigui Zhou:
Weight-based label-unknown multi-view data set generation approach. Inf. Process. Lett. 146: 1-12 (2019) - [j23]Lai Wei, Rigui Zhou, Jun Yin, Changming Zhu, Xiafen Zhang, Hao Liu:
Latent graph-regularized inductive robust principal component analysis. Knowl. Based Syst. 177: 68-81 (2019) - [j22]Changming Zhu, Zhe Wang, Rigui Zhou, Lai Wei, Xiafen Zhang, Yi Ding:
Semi-supervised one-pass multi-view learning. Neural Comput. Appl. 31(11): 8117-8134 (2019) - [j21]Changming Zhu, Duoqian Miao:
Semi-supervised One-Pass Multi-view Learning with Variable Features and Views. Neural Process. Lett. 50(1): 189-226 (2019) - [j20]Lai Wei, Yan Zhang, Jun Yin, Rigui Zhou, Changming Zhu, Xiafeng Zhang:
An Improved Structured Low-Rank Representation for Disjoint Subspace Segmentation. Neural Process. Lett. 50(2): 1035-1050 (2019) - [j19]Changming Zhu, Rigui Zhou, Chen Zu:
Weight-based canonical sparse cross-view correlation analysis. Pattern Anal. Appl. 22(2): 457-476 (2019) - [c11]Changming Zhu, Duoqian Miao, Rigui Zhou, Lai Wei:
Improved Multi-view Multi-label Learning with Incomplete Views and Labels. ICDM Workshops 2019: 689-696 - [c10]Changming Zhu, Zhe Wang, Minguang Wang, Wenbo Jie, Daqi Gao:
Support Vector Data Description with Fractional Order Kernel. ICMLT 2019: 58-65 - 2018
- [j18]Lai Wei, Xiaofeng Wang, Aihua Wu, Rigui Zhou, Changming Zhu:
Robust Subspace Segmentation by Self-Representation Constrained Low-Rank Representation. Neural Process. Lett. 48(3): 1671-1691 (2018) - [j17]Ri-Gui Zhou, XingAo Liu, Changming Zhu, Lai Wei, Xiafen Zhang, Hou Ian:
Similarity analysis between quantum images. Quantum Inf. Process. 17(6): 121 (2018) - [c9]Changming Zhu, Chengjiu Mei, Hui Jiang, Ri-Gui Zhou:
Matrix-Instance-Based One-Pass AUC Optimization. PRCV (3) 2018: 527-538 - 2017
- [j16]Changming Zhu:
Double-fold localized multiple matrix learning machine with Universum. Pattern Anal. Appl. 20(4): 1091-1118 (2017) - [j15]Changming Zhu, Zhe Wang:
Entropy-based matrix learning machine for imbalanced data sets. Pattern Recognit. Lett. 88: 72-80 (2017) - [c8]Changming Zhu:
Entropy-Based Support Matrix Machine. IFIP TC12 ICIS 2017: 200-211 - 2016
- [j14]Changming Zhu:
Improved multi-kernel classification machine with Nyström approximation technique and Universum data. Neurocomputing 175: 610-634 (2016) - [j13]Changming Zhu:
Data-Compression-Based Resource Management in Cloud Computing for Biology and Medicine. J. Comput. Sci. Eng. 10(1) (2016) - [j12]Changming Zhu, Daqi Gao:
Influence of Data Preprocessing. J. Comput. Sci. Eng. 10(2) (2016) - [j11]Changming Zhu, Zhe Wang, Daqi Gao:
New design goal of a classifier: Global and local structural risk minimization. Knowl. Based Syst. 100: 25-49 (2016) - [j10]Changming Zhu, Dengsheng Lu, Daniel Victoria, Luciano Vieira Dutra:
Mapping Fractional Cropland Distribution in Mato Grosso, Brazil Using Time Series MODIS Enhanced Vegetation Index and Landsat Thematic Mapper Data. Remote. Sens. 8(1): 22 (2016) - [c7]Linning Peng, Aiqun Hu, Yu Jiang, Yan Yan, Changming Zhu:
A differential constellation trace figure based device identification method for ZigBee nodes. WCSP 2016: 1-6 - 2015
- [j9]Changming Zhu, Zhe Wang, Daqi Gao:
Globalized and localized canonical correlation analysis with multiple empirical kernel mapping. Neurocomputing 154: 257-275 (2015) - [j8]Changming Zhu, Zhe Wang, Daqi Gao, Xiang Feng:
Double-fold localized multiple matrixized learning machine. Inf. Sci. 295: 196-220 (2015) - [j7]Changming Zhu, Daqi Gao:
Multiple Matrix Learning Machine with Five Aspects of Pattern Information. Knowl. Based Syst. 83: 13-31 (2015) - [j6]Changming Zhu, Daqi Gao:
A modified kernel clustering method with multiple factors. Pattern Anal. Appl. 18(4): 871-886 (2015) - [j5]Changming Zhu, Daqi Gao:
Improved multi-kernel classification machine with Nyström approximation technique. Pattern Recognit. 48(4): 1490-1509 (2015) - 2014
- [j4]Zhe Wang, Changming Zhu, Zengxin Niu, Daqi Gao, Xiang Feng:
Multi-kernel classification machine with reduced complexity. Knowl. Based Syst. 65: 83-95 (2014) - [j3]Daqi Gao, Jun Ding, Changming Zhu:
Integrated Fisher linear discriminants: An empirical study. Pattern Recognit. 47(2): 789-805 (2014) - 2013
- [j2]Changming Zhu, Jiansheng Wu:
Hybrid of Genetic Algorithm and Simulated Annealing for Support Vector Regression Optimization in Rainfall Forecasting. Int. J. Comput. Intell. Appl. 12(2) (2013) - [j1]Zhe Wang, Changming Zhu, Daqi Gao, Songcan Chen:
Three-fold structured classifier design based on matrix pattern. Pattern Recognit. 46(6): 1532-1555 (2013) - 2011
- [c6]Changming Zhu, Jiancheng Luo, Zhanfeng Shen, Junli Li, Xi Cheng:
Coastal wetland automatic extraction based on remote sensing spatial - Spectral (Tupu) coupled information. ICSDM 2011: 476-479 - [c5]Xi Cheng, Jiancheng Luo, Zhanfeng Shen, Changming Zhu, Xin Zhang, Liegang Xia:
Estimation of impervious surface based on integrated analysis of classification and regression by using SVM. IGARSS 2011: 2809-2812 - [c4]Changming Zhu, Jiancheng Luo, Junli Li, Zhanfeng Shen, Qiting Huang:
Bostenlake Wetlands Water Level Automatic Retrieval and Trends Analysis Based on ICESatGLAS Global Laser Point Data. IScIDE 2011: 582-590
2000 – 2009
- 2008
- [c3]Hualong Yu, Guochang Gu, Haibo Liu, Jing Shen, Changming Zhu:
A Novel Discrete Particle Swarm Optimization Algorithm for Microarray Data-Based Tumor Marker Gene Selection. CSSE (1) 2008: 1057-1060 - [c2]Sheng Chen, Jiancheng Luo, Zhanfeng Shen, Geping Luo, Changming Zhu:
Using Synthetic Variable ratio Method to Fuse Multi-source Remotely Sensed Images Based on Sensor Spectral Response. IGARSS (2) 2008: 1084-1087 - [c1]Hualong Yu, Guochang Gu, Haibo Liu, Jing Shen, Changming Zhu, Jun Ni:
Incremental Tumor Diagnosis Algorithm Using New Unlabeled Microarray. IMSCCS 2008: 45-50
Coauthor Index
Rigui Zhou
aka: Ri-Gui Zhou
aka: Ri-Gui Zhou
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