Changming Zhu

According to our database, Changming Zhu authored at least 79 papers between 2008 and 2025.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2025

E-FNet: A EEG-fNIRS dual-stream model for Brain-Computer Interfaces.

Binlong Yu, Lei Cao, Jie Jia, Chunjiang Fan, Yilin Dong, Changming Zhu

Biomed. Signal Process. Control., 2025

2024

SADCL-Net: Sparse-driven Attention with Dual-Consistency Learning Network for Incomplete Multi-view Clustering.

Sicheng Xue, Changming Zhu

Multim. Syst., October, 2024

Ensemble based fully convolutional transformer network for time series classification.

Yilin Dong, Yuzhuo Xu, Rigui Zhou, Changming Zhu, Jin Liu, Jiamin Song, Xinliang Wu

Appl. Intell., October, 2024

Deep contrastive multi-view clustering with doubly enhanced commonality.

Zhiyuan Yang, Changming Zhu, Zishi Li

Multim. Syst., August, 2024

Self-supervised graph clustering via attention auto-encoder with distribution specificity.

Zishi Li, Changming Zhu

Multim. Syst., June, 2024

View-Driven Multi-View Clustering via Contrastive Double-Learning.

Shengcheng Liu, Changming Zhu, Zishi Li, Zhiyuan Yang, Wenjie Gu

Entropy, June, 2024

Learning Idempotent Representation for Subspace Clustering.

Lai Wei, Shiteng Liu, Rigui Zhou, Changming Zhu, Jin Liu

IEEE Trans. Knowl. Data Eng., March, 2024

Land Cover Change Detection Based on Vector Polygons and Deep Learning With High-Resolution Remote Sensing Images.

Hui Zhang, Wei Liu, Hao Niu, Pengcheng Yin, Shiling Dong, Jialin Wu, Erzhu Li, Lianpeng Zhang, Changming Zhu

IEEE Trans. Geosci. Remote. Sens., 2024

Nonagriculturalization Detection Based on Vector Polygons and Contrastive Learning With High-Resolution Remote Sensing Images.

Hui Zhang, Wei Liu, Changming Zhu, Hao Niu, Pengcheng Yin, Shiling Dong, Jialin Wu, Erzhu Li, Lianpeng Zhang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

A novel multi-criteria conflict evidence combination method and its application to pattern recognition.

Yilin Dong, Ningning Jiang, Rigui Zhou, Changming Zhu, Lei Cao, Tianyu Liu, Yuzhuo Xu, Xinde Li

Inf. Fusion, 2024

Reconstruction of dense time series high spatial resolution NDVI data using a spatiotemporal optimal weighted combination estimation model based on Sentinel-2 and MODIS.

Kun Zhang, Changming Zhu, Junli Li, Kuntao Shi, Xin Zhang

Ecol. Informatics, 2024

2023

Incomplete multi-view clustering via attention-based contrast learning.

Yanhao Zhang, Changming Zhu

Int. J. Mach. Learn. Cybern., December, 2023

Within- cross- consensus-view representation-based multi-view multi-label learning with incomplete data.

Changming Zhu, Yanchen Liu, Duoqian Miao, Yilin Dong, Witold Pedrycz

Neurocomputing, November, 2023

E-FPN: Evidential Feature Pyramid Network for Ship Classification.

Yilin Dong, Kunhai Xu, Changming Zhu, Enguang Guan, Yihai Liu

Remote. Sens., August, 2023

A simple multiple-fold correlation-based multi-view multi-label learning.

Changming Zhu, Jiyun Zhao, Shizhe Hu, Yilin Dong, Lei Cao, Fan Zhou, Yuhu Shi, Lai Wei, Rigui Zhou

Neural Comput. Appl., May, 2023

Multisource Weighted Domain Adaptation With Evidential Reasoning for Activity Recognition.

Yilin Dong, Xinde Li, Jean Dezert, Rigui Zhou, Changming Zhu, Lei Cao, Mohammad Omar Khyam, Shuzhi Sam Ge

IEEE Trans. Ind. Informatics, April, 2023

Window-Based Filtering Aerosol Retrieval Algorithm of Fine-Scale Remote Sensing Images: A Case Using Sentinel-2 Data in Beijing Region.

Jian Zhou, Yingjie Li, Qingmiao Ma, Qiaomiao Liu, Weiguo Li, Zilu Miao, Changming Zhu

Remote. Sens., April, 2023

Spatiotemporal Variation Characteristics and Dynamic Persistence Analysis of Carbon Sources/Sinks in the Yellow River Basin.

Kun Zhang, Changming Zhu, Xiaodong Ma, Xin Zhang, Dehu Yang, Yakui Shao

Remote. Sens., January, 2023

Shared-Weight-Based Multi-Dimensional Feature Alignment Network for Oriented Object Detection in Remote Sensing Imagery.

Xinxin Hu, Changming Zhu

Sensors, 2023

E-Yolov7: A Life Jacket Detection Algorithm Based on Yolov7.

Jiajia Xu, Changming Zhu

Proceedings of the Fuzzy Systems and Data Mining IX, 2023

Adaptive Graph Convolutional Subspace Clustering.

Lai Wei, Zhengwei Chen, Jun Yin, Changming Zhu, Rigui Zhou, Jin Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Subspace Clustering via Structured Sparse Relation Representation.

Lai Wei, Fenfen Ji, Hao Liu, Rigui Zhou, Changming Zhu, Xiafen Zhang

IEEE Trans. Neural Networks Learn. Syst., 2022

Fine Object Change Detection Based on Vector Boundary and Deep Learning With High-Resolution Remote Sensing Images.

Jiacheng Shi, Wei Liu, Yihu Zhu, Shengli Wang, Sibao Hao, Changming Zhu, Haoyu Shan, Erzhu Li, Xing Li, Lianpeng Zhang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Multi-view Multi-label Learning with Incomplete Views and Labels.

Changming Zhu, Lin Ma

SN Comput. Sci., 2022

Multiscale Detection and Assessment of Vegetation Eco-Environmental Restoration following Ecological Water Compensation in the Lower Reaches of the Tarim River, China.

Changming Zhu, Qian Shen, Kun Zhang, Xin Zhang, Junli Li

Remote. Sens., 2022

Semantic-Edge-Supervised Single-Stage Detector for Oriented Object Detection in Remote Sensing Imagery.

Dujuan Cao, Changming Zhu, Xinxin Hu, Rigui Zhou

Remote. Sens., 2022

Multi-view multi-label-based online method with threefold correlations and dynamic updating multi-region.

Changming Zhu, Shuaiping Guo, Dujuan Cao, YiTing Zhou, Duoqian Miao, Witold Pedrycz

Neural Comput. Appl., 2022

Weak-label-based global and local multi-view multi-label learning with three-way clustering.

Changming Zhu, Dujuan Cao, Shuaiping Guo, Rigui Zhou, Lai Wei, Yilin Dong, Duoqian Miao

Int. J. Mach. Learn. Cybern., 2022

Subspace clustering via adaptive least square regression with smooth affinities.

Lai Wei, Fanfan Zhang, Zhengwei Chen, Rigui Zhou, Changming Zhu

Knowl. Based Syst., 2022

Learning idempotent representation for subspace clustering.

Lai Wei, Shiteng Liu, Rigui Zhou, Changming Zhu

CoRR, 2022

Super-resolution reconstruction of underwater sonar image based on multi-scale feature fusion.

Yawen Fan, Changming Zhu

Proceedings of the 2nd International Conference on Control and Intelligent Robotics, 2022

Cascaded ASPP and Attention Mechanism-based Deeplabv3+ Semantic Segmentation Model.

Shuaiping Guo, Changming Zhu

Proceedings of the 8th IEEE International Conference on Cloud Computing and Intelligent Systems, 2022

2021

Evidential Reasoning With Hesitant Fuzzy Belief Structures for Human Activity Recognition.

Yilin Dong, Xinde Li, Jean Dezert, Rigui Zhou, Changming Zhu, Lai Wei, Shuzhi Sam Ge

IEEE Trans. Fuzzy Syst., 2021

A Variable Search Space Strategy Based on Sequential Trust Region Determination Technique.

Qinqin Fan, Xuefeng Yan, Yilian Zhang, Changming Zhu

IEEE Trans. Cybern., 2021

A Mechanistic Approach for Modeling Soil Development Using Remotely Sensed Data Collected from Invaded Coasts.

Li-An Liu, Ren-Min Yang, Xin Zhang, Changming Zhu, Zhong-Qi Zhang

Remote. Sens., 2021

2020

Weight-and-Universum-based semi-supervised multi-view learning machine.

Changming Zhu, Duoqian Miao, Rigui Zhou, Lai Wei

Soft Comput., 2020

Entropy-based multi-view matrix completion for clustering with side information.

Changming Zhu, Duoqian Miao

Pattern Anal. Appl., 2020

A new multi-view learning machine with incomplete data.

Changming Zhu, Chao Chen, Rigui Zhou, Lai Wei, Xiafen Zhang

Pattern Anal. Appl., 2020

Adaptive graph-regularized fixed rank representation for subspace segmentation.

Lai Wei, Rigui Zhou, Changming Zhu, Xiafen Zhang, Jun Yin

Pattern Anal. Appl., 2020

Global and local multi-view multi-label learning with incomplete views and labels.

Changming Zhu, Panhong Wang, Lin Ma, Rigui Zhou, Lai Wei

Neural Comput. Appl., 2020

Global and local multi-view multi-label learning.

Changming Zhu, Duoqian Miao, Zhe Wang, Rigui Zhou, Lai Wei, Xiafen Zhang

Neurocomputing, 2020

Multi-view and Multi-label Method with Three-Way Decision-Based Clustering.

Changming Zhu, Lin Ma, Panhong Wang, Duoqian Miao

Proceedings of the Pattern Recognition and Computer Vision - Third Chinese Conference, 2020

2019

Weight-based canonical sparse cross-view correlation analysis.

Changming Zhu, Rigui Zhou, Chen Zu

Pattern Anal. Appl., 2019

Semi-supervised One-Pass Multi-view Learning with Variable Features and Views.

Changming Zhu, Duoqian Miao

Neural Process. Lett., 2019

An Improved Structured Low-Rank Representation for Disjoint Subspace Segmentation.

Lai Wei, Yan Zhang, Jun Yin, Rigui Zhou, Changming Zhu, Xiafeng Zhang

Neural Process. Lett., 2019

Semi-supervised one-pass multi-view learning.

Changming Zhu, Zhe Wang, Rigui Zhou, Lai Wei, Xiafen Zhang, Yi Ding

Neural Comput. Appl., 2019

Latent graph-regularized inductive robust principal component analysis.

Lai Wei, Rigui Zhou, Jun Yin, Changming Zhu, Xiafen Zhang, Hao Liu

Knowl. Based Syst., 2019

Weight-based label-unknown multi-view data set generation approach.

Changming Zhu, Chengjiu Mei, Rigui Zhou

Inf. Process. Lett., 2019

Subspace segmentation via self-regularized latent <i>K</i>-means.

Lai Wei, Rigui Zhou, Xiaofeng Wang, Changming Zhu, Jun Yin, Xiafen Zhang

Expert Syst. Appl., 2019

Influence of kernel clustering on an RBFN.

Changming Zhu, Duoqian Miao

CAAI Trans. Intell. Technol., 2019

Support Vector Data Description with Fractional Order Kernel.

Changming Zhu, Zhe Wang, Minguang Wang, Wenbo Jie, Daqi Gao

Proceedings of the 4th International Conference on Machine Learning Technologies, 2019

Improved Multi-view Multi-label Learning with Incomplete Views and Labels.

Changming Zhu, Duoqian Miao, Rigui Zhou, Lai Wei

Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

2018

Similarity analysis between quantum images.

Ri-Gui Zhou, XingAo Liu, Changming Zhu, Lai Wei, Xiafen Zhang, Hou Ian

Quantum Inf. Process., 2018

Robust Subspace Segmentation by Self-Representation Constrained Low-Rank Representation.

Lai Wei, Xiaofeng Wang, Aihua Wu, Rigui Zhou, Changming Zhu

Neural Process. Lett., 2018

Matrix-Instance-Based One-Pass AUC Optimization.

Changming Zhu, Chengjiu Mei, Hui Jiang, Ri-Gui Zhou

Proceedings of the Pattern Recognition and Computer Vision - First Chinese Conference, 2018

2017

Entropy-based matrix learning machine for imbalanced data sets.

Changming Zhu, Zhe Wang

Pattern Recognit. Lett., 2017

Double-fold localized multiple matrix learning machine with Universum.

Changming Zhu

Pattern Anal. Appl., 2017

Entropy-Based Support Matrix Machine.

Changming Zhu

Proceedings of the Intelligence Science I, 2017

2016

Mapping Fractional Cropland Distribution in Mato Grosso, Brazil Using Time Series MODIS Enhanced Vegetation Index and Landsat Thematic Mapper Data.

Changming Zhu, Dengsheng Lu, Daniel Victoria, Luciano Vieira Dutra

Remote. Sens., 2016

New design goal of a classifier: Global and local structural risk minimization.

Changming Zhu, Zhe Wang, Daqi Gao

Knowl. Based Syst., 2016

Influence of Data Preprocessing.

Changming Zhu, Daqi Gao

J. Comput. Sci. Eng., 2016

Data-Compression-Based Resource Management in Cloud Computing for Biology and Medicine.

Changming Zhu

J. Comput. Sci. Eng., 2016

Improved multi-kernel classification machine with Nyström approximation technique and Universum data.

Changming Zhu

Neurocomputing, 2016

A differential constellation trace figure based device identification method for ZigBee nodes.

Linning Peng, Aiqun Hu, Yu Jiang, Yan Yan, Changming Zhu

Proceedings of the 8th International Conference on Wireless Communications & Signal Processing, 2016

2015

Improved multi-kernel classification machine with Nyström approximation technique.

Changming Zhu, Daqi Gao

Pattern Recognit., 2015

A modified kernel clustering method with multiple factors.

Changming Zhu, Daqi Gao

Pattern Anal. Appl., 2015

Multiple Matrix Learning Machine with Five Aspects of Pattern Information.

Changming Zhu, Daqi Gao

Knowl. Based Syst., 2015

Double-fold localized multiple matrixized learning machine.

Changming Zhu, Zhe Wang, Daqi Gao, Xiang Feng

Inf. Sci., 2015

Globalized and localized canonical correlation analysis with multiple empirical kernel mapping.

Changming Zhu, Zhe Wang, Daqi Gao

Neurocomputing, 2015

2014

Integrated Fisher linear discriminants: An empirical study.

Daqi Gao, Jun Ding, Changming Zhu

Pattern Recognit., 2014

Multi-kernel classification machine with reduced complexity.

Zhe Wang, Changming Zhu, Zengxin Niu, Daqi Gao, Xiang Feng

Knowl. Based Syst., 2014

2013

Three-fold structured classifier design based on matrix pattern.

Zhe Wang, Changming Zhu, Daqi Gao, Songcan Chen

Pattern Recognit., 2013

Hybrid of Genetic Algorithm and Simulated Annealing for Support Vector Regression Optimization in Rainfall Forecasting.

Changming Zhu, Jiansheng Wu

Int. J. Comput. Intell. Appl., 2013

2011

Bostenlake Wetlands Water Level Automatic Retrieval and Trends Analysis Based on ICESatGLAS Global Laser Point Data.

Changming Zhu, Jiancheng Luo, Junli Li, Zhanfeng Shen, Qiting Huang

Proceedings of the Intelligent Science and Intelligent Data Engineering, 2011

Estimation of impervious surface based on integrated analysis of classification and regression by using SVM.

Xi Cheng, Jiancheng Luo, Zhanfeng Shen, Changming Zhu, Xin Zhang, Liegang Xia

Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

Coastal wetland automatic extraction based on remote sensing spatial - Spectral (Tupu) coupled information.

Changming Zhu, Jiancheng Luo, Zhanfeng Shen, Junli Li, Xi Cheng

Proceedings of the IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services, 2011

2008

Incremental Tumor Diagnosis Algorithm Using New Unlabeled Microarray.

Hualong Yu, Guochang Gu, Haibo Liu, Jing Shen, Changming Zhu, Jun Ni

Proceedings of the International Multisymposiums on Computer and Computational Sciences, 2008

Using Synthetic Variable ratio Method to Fuse Multi-source Remotely Sensed Images Based on Sensor Spectral Response.

Sheng Chen, Jiancheng Luo, Zhanfeng Shen, Geping Luo, Changming Zhu

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008

A Novel Discrete Particle Swarm Optimization Algorithm for Microarray Data-Based Tumor Marker Gene Selection.

Hualong Yu, Guochang Gu, Haibo Liu, Jing Shen, Changming Zhu

Proceedings of the International Conference on Computer Science and Software Engineering, 2008