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 (CSSE (1), 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 (IGARSS (2), 2008)

Incremental Tumor Diagnosis Algorithm Using New Unlabeled Microarray. - Hualong Yu; Guochang Gu; Haibo Liu; Jing Shen; Changming Zhu; Jun Ni (IMSCCS, 2008)

Coastal wetland automatic extraction based on remote sensing spatial - Spectral (Tupu) coupled information. - Changming Zhu; Jiancheng Luo; Zhanfeng Shen; Junli Li; Xi Cheng (ICSDM, 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 (IGARSS, 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 (IScIDE, 2011)

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)

Three-fold structured classifier design based on matrix pattern. - Zhe Wang 002; Changming Zhu; Daqi Gao; Songcan Chen (Pattern Recognit., 2013)

Multi-kernel classification machine with reduced complexity. - Zhe Wang 002; Changming Zhu; Zengxin Niu; Daqi Gao; Xiang Feng (Knowl. Based Syst., 2014)

Integrated Fisher linear discriminants: An empirical study. - Daqi Gao; Jun Ding; Changming Zhu (Pattern Recognit., 2014)

Globalized and localized canonical correlation analysis with multiple empirical kernel mapping. - Changming Zhu; Zhe Wang 002; Daqi Gao (Neurocomputing, 2015)

Double-fold localized multiple matrixized learning machine. - Changming Zhu; Zhe Wang 002; Daqi Gao; Xiang Feng (Inf. Sci., 2015)

Multiple Matrix Learning Machine with Five Aspects of Pattern Information. - Changming Zhu; Daqi Gao (Knowl. Based Syst., 2015)

A modified kernel clustering method with multiple factors. - Changming Zhu; Daqi Gao (Pattern Anal. Appl., 2015)

Improved multi-kernel classification machine with Nyström approximation technique. - Changming Zhu; Daqi Gao (Pattern Recognit., 2015)

A differential constellation trace figure based device identification method for ZigBee nodes. - Linning Peng; Aiqun Hu; Yu Jiang; Yan Yan; Changming Zhu (WCSP, 2016)

Improved multi-kernel classification machine with Nyström approximation technique and Universum data. - Changming Zhu (Neurocomputing, 2016)

Data-Compression-Based Resource Management in Cloud Computing for Biology and Medicine. - Changming Zhu (J. Comput. Sci. Eng., 2016)

Influence of Data Preprocessing. - Changming Zhu; Daqi Gao (J. Comput. Sci. Eng., 2016)

New design goal of a classifier: Global and local structural risk minimization. - Changming Zhu; Zhe Wang 002; Daqi Gao (Knowl. Based Syst., 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)

Entropy-Based Support Matrix Machine. - Changming Zhu (ICIS, 2017)

Double-fold localized multiple matrix learning machine with Universum. - Changming Zhu (Pattern Anal. Appl., 2017)

Entropy-based matrix learning machine for imbalanced data sets. - Changming Zhu; Zhe Wang 002 (Pattern Recognit. Lett., 2017)

Matrix-Instance-Based One-Pass AUC Optimization. - Changming Zhu; Chengjiu Mei; Hui Jiang; Ri-Gui Zhou (PRCV (3), 2018)

Robust Subspace Segmentation by Self-Representation Constrained Low-Rank Representation. - Lai Wei 001; Xiaofeng Wang; Aihua Wu 003; Rigui Zhou; Changming Zhu (Neural Process. Lett., 2018)

Similarity analysis between quantum images. - Ri-Gui Zhou; XingAo Liu; Changming Zhu; Lai Wei 001; Xiafen Zhang; Hou Ian (Quantum Inf. Process., 2018)

Improved Multi-view Multi-label Learning with Incomplete Views and Labels. - Changming Zhu; Duoqian Miao 001; Rigui Zhou; Lai Wei 001 (ICDM Workshops, 2019)

Support Vector Data Description with Fractional Order Kernel. - Changming Zhu; Zhe Wang 002; Minguang Wang; Wenbo Jie; Daqi Gao (ICMLT, 2019)

Influence of kernel clustering on an RBFN. - Changming Zhu; Duoqian Miao (CAAI Trans. Intell. Technol., 2019)

Subspace segmentation via self-regularized latent K-means. - Lai Wei 001; Rigui Zhou; Xiaofeng Wang; Changming Zhu; Jun Yin 003; Xiafen Zhang (Expert Syst. Appl., 2019)

Weight-based label-unknown multi-view data set generation approach. - Changming Zhu; Chengjiu Mei; Rigui Zhou (Inf. Process. Lett., 2019)

Latent graph-regularized inductive robust principal component analysis. - Lai Wei 001; Rigui Zhou; Jun Yin 003; Changming Zhu; Xiafen Zhang; Hao Liu (Knowl. Based Syst., 2019)

Semi-supervised one-pass multi-view learning. - Changming Zhu; Zhe Wang 002; Rigui Zhou; Lai Wei 001; Xiafen Zhang; Yi Ding 008 (Neural Comput. Appl., 2019)

An Improved Structured Low-Rank Representation for Disjoint Subspace Segmentation. - Lai Wei 001; Yan Zhang 002; Jun Yin 003; Rigui Zhou; Changming Zhu; Xiafeng Zhang (Neural Process. Lett., 2019)

Semi-supervised One-Pass Multi-view Learning with Variable Features and Views. - Changming Zhu; Duoqian Miao (Neural Process. Lett., 2019)

Weight-based canonical sparse cross-view correlation analysis. - Changming Zhu; Rigui Zhou; Chen Zu (Pattern Anal. Appl., 2019)

Multi-view and Multi-label Method with Three-Way Decision-Based Clustering. - Changming Zhu; Lin Ma; Panhong Wang; Duoqian Miao (PRCV (2), 2020)

Global and local multi-view multi-label learning. - Changming Zhu; Duoqian Miao 001; Zhe Wang 002; Rigui Zhou; Lai Wei 001; Xiafen Zhang (Neurocomputing, 2020)

Global and local multi-view multi-label learning with incomplete views and labels. - Changming Zhu; Panhong Wang; Lin Ma; Rigui Zhou; Lai Wei 001 (Neural Comput. Appl., 2020)

Adaptive graph-regularized fixed rank representation for subspace segmentation. - Lai Wei 001; Rigui Zhou; Changming Zhu; Xiafen Zhang; Jun Yin 003 (Pattern Anal. Appl., 2020)

A new multi-view learning machine with incomplete data. - Changming Zhu; Chao Chen; Rigui Zhou; Lai Wei 001; Xiafen Zhang (Pattern Anal. Appl., 2020)

Entropy-based multi-view matrix completion for clustering with side information. - Changming Zhu; Duoqian Miao (Pattern Anal. Appl., 2020)

Weight-and-Universum-based semi-supervised multi-view learning machine. - Changming Zhu; Duoqian Miao 001; Rigui Zhou; Lai Wei 001 (Soft Comput., 2020)

A Mechanistic Approach for Modeling Soil Development Using Remotely Sensed Data Collected from Invaded Coasts. - Li-An Liu; Ren-Min Yang; Xin Zhang 031; Changming Zhu; Zhong-Qi Zhang (Remote. Sens., 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)

Evidential Reasoning With Hesitant Fuzzy Belief Structures for Human Activity Recognition. - Yilin Dong; Xinde Li; Jean Dezert; Rigui Zhou; Changming Zhu; Lai Wei 001; Shuzhi Sam Ge (IEEE Trans. Fuzzy Syst., 2021)

Cascaded ASPP and Attention Mechanism-based Deeplabv3+ Semantic Segmentation Model. - Shuaiping Guo; Changming Zhu (CCIS, 2022)

Super-resolution reconstruction of underwater sonar image based on multi-scale feature fusion. - Yawen Fan; Changming Zhu (ICCIR, 2022)

Learning idempotent representation for subspace clustering. - Lai Wei 001; Shiteng Liu; Rigui Zhou; Changming Zhu (CoRR, 2022)

Subspace clustering via adaptive least square regression with smooth affinities. - Lai Wei 001; Fanfan Zhang; Zhengwei Chen; Rigui Zhou; Changming Zhu (Knowl. Based Syst., 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 001; Yilin Dong; Duoqian Miao 001 (Int. J. Mach. Learn. Cybern., 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 001; Witold Pedrycz (Neural Comput. Appl., 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)

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 004; Kun Zhang; Xin Zhang 031; Junli Li (Remote. Sens., 2022)

Multi-view Multi-label Learning with Incomplete Views and Labels. - Changming Zhu; Lin Ma (SN Comput. Sci., 2022)

Fine Object Change Detection Based on Vector Boundary and Deep Learning With High-Resolution Remote Sensing Images. - Jiacheng Shi; Wei Liu 095; 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)

Subspace Clustering via Structured Sparse Relation Representation. - Lai Wei 001; Fenfen Ji; Hao Liu; Rigui Zhou; Changming Zhu; Xiafen Zhang (IEEE Trans. Neural Networks Learn. Syst., 2022)

Adaptive Graph Convolutional Subspace Clustering. - Lai Wei 001; Zhengwei Chen; Jun Yin 003; Changming Zhu; Rigui Zhou; Jin Liu 009 (CVPR, 2023)

E-Yolov7: A Life Jacket Detection Algorithm Based on Yolov7. - Jiajia Xu; Changming Zhu (FSDM, 2023)

Shared-Weight-Based Multi-Dimensional Feature Alignment Network for Oriented Object Detection in Remote Sensing Imagery. - Xinxin Hu; Changming Zhu (Sensors, 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 031; Dehu Yang; Yakui Shao (Remote. Sens., 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., 2023)

Multisource Weighted Domain Adaptation With Evidential Reasoning for Activity Recognition. - Yilin Dong; Xinde Li; Jean Dezert; Rigui Zhou; Changming Zhu; Lei Cao 002; Mohammad Omar Khyam; Shuzhi Sam Ge (IEEE Trans. Ind. Informatics, 2023)

A simple multiple-fold correlation-based multi-view multi-label learning. - Changming Zhu; Jiyun Zhao; Shizhe Hu; Yilin Dong; Lei Cao 002; Fan Zhou; Yuhu Shi; Lai Wei 001; Rigui Zhou (Neural Comput. Appl., 2023)

E-FPN: Evidential Feature Pyramid Network for Ship Classification. - Yilin Dong; Kunhai Xu; Changming Zhu; Enguang Guan; Yihai Liu (Remote. Sens., 2023)

Within- cross- consensus-view representation-based multi-view multi-label learning with incomplete data. - Changming Zhu; Yanchen Liu; Duoqian Miao 001; Yilin Dong; Witold Pedrycz (Neurocomputing, 2023)

Incomplete multi-view clustering via attention-based contrast learning. - Yanhao Zhang; Changming Zhu (Int. J. Mach. Learn. Cybern., 2023)

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 031 (Ecol. Informatics, 2024)

Spatiotemporal Information, Near-Field Perception, and Service for Tourists by Distributed Camera and BeiDou Positioning System in Mountainous Scenic Areas. - Kuntao Shi; Changming Zhu; Junli Li; Xin Zhang 031; Fan Yang; Kun Zhang; Qian Shen 004 (ISPRS Int. J. Geo Inf., 2024)

Passive Perception and Path Tracking of Tourists in Mountain Scenic Spots Through Face to Body Two Stepwise Method. - Fan Yang; Changming Zhu; Kuntao Shi; Junli Li; Qian Shen 004; Xin Zhang 031 (ISPRS Int. J. Geo Inf., 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 002; Tianyu Liu; Yuzhuo Xu; Xinde Li (Inf. Fusion, 2024)

Nonagriculturalization Detection Based on Vector Polygons and Contrastive Learning With High-Resolution Remote Sensing Images. - Hui Zhang; Wei Liu 095; 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 Knowledge-Learning Coupling Method for InSAR Phase Unwrapping of Large Surface Displacements in Coal Mining Areas. - Bingqian Chen; Yu Yang; Lipeng Zhang; Zhenghong Li; Changming Zhu; Chen Yu 002; Chuang Song; Ningjie Liu; Zihan Liu (IEEE Trans. Geosci. Remote. Sens., 2024)

Land Cover Change Detection Based on Vector Polygons and Deep Learning With High-Resolution Remote Sensing Images. - Hui Zhang; Wei Liu 095; Hao Niu; Pengcheng Yin; Shiling Dong; Jialin Wu; Erzhu Li; Lianpeng Zhang; Changming Zhu (IEEE Trans. Geosci. Remote. Sens., 2024)

Learning Idempotent Representation for Subspace Clustering. - Lai Wei 001; Shiteng Liu; Rigui Zhou; Changming Zhu; Jin Liu 009 (IEEE Trans. Knowl. Data Eng., 2024)

View-Driven Multi-View Clustering via Contrastive Double-Learning. - Shengcheng Liu; Changming Zhu; Zishi Li; Zhiyuan Yang; Wenjie Gu (Entropy, 2024)

Self-supervised graph clustering via attention auto-encoder with distribution specificity. - Zishi Li; Changming Zhu (Multim. Syst., 2024)

Deep contrastive multi-view clustering with doubly enhanced commonality. - Zhiyuan Yang; Changming Zhu; Zishi Li (Multim. Syst., 2024)

Ensemble based fully convolutional transformer network for time series classification. - Yilin Dong; Yuzhuo Xu; Rigui Zhou; Changming Zhu; Jin Liu 009; Jiamin Song; Xinliang Wu (Appl. Intell., 2024)

SADCL-Net: Sparse-driven Attention with Dual-Consistency Learning Network for Incomplete Multi-view Clustering. - Sicheng Xue; Changming Zhu (Multim. Syst., 2024)

E-FNet: A EEG-fNIRS dual-stream model for Brain-Computer Interfaces. - Binlong Yu; Lei Cao 002; Jie Jia; Chunjiang Fan; Yilin Dong; Changming Zhu (Biomed. Signal Process. Control., 2025)

Attention-based credible evidential segmentation network for remote sensing ship segmentation. - Sicong Qu; Yilin Dong; Changming Zhu; Lei Cao 002; Kezhu Zuo (Int. J. Approx. Reason., 2025)

TSO-PL: A Novel Phase Linking Method for DS InSAR Based on a Two-Step Strategy to Optimize the Sample Coherence Matrix. - Bingqian Chen; Ningjie Liu; Hanwen Yu; Feng Zhao 013; Changming Zhu; Lipeng Zhang; Zihan Liu (IEEE Trans. Geosci. Remote. Sens., 2025)

Multiple Self-Adaptive Correlation-Based Multiview Multilabel Learning. - Changming Zhu; Yimin Yan; Duoqian Miao 001; Yilin Dong; Witold Pedrycz (IEEE Trans. Cybern., 2025)

Quantum Conflict Measurement in Decision Making for Out-of-Distribution Detection. - Yilin Dong; Tianyun Zhu; Xinde Li; Jean Dezert; Rigui Zhou; Changming Zhu; Lei Cao 002; Shuzhi Sam Ge (CoRR, 2025)

DMVMLC-VT: Deep incomplete multi-view multi-label image classification with view translation and pseudo-label enhancement. - Yanchen Liu; Changming Zhu (Vis. Comput., 2025)

Deep multi-view clustering based on global hybrid alignment with cross-contrastive learning. - Yang Yang; Changming Zhu (Vis. Comput., 2025)

DRMFE: optimizing incomplete multi-view clustering through dual recovery and multi-scale feature enhancement. - Liju Han; Changming Zhu (Multim. Syst., 2025)

Global semantic space feature fusion for multi-view clustering. - Lei Wang; Changming Zhu (Multim. Syst., 2025)

Incomplete multiview clustering with bipartite tensors. - Jiaquan Luo; Changming Zhu (Appl. Intell., 2025)

A multi-view multi-label learning with incomplete data and self-adaptive correlations. - Changming Zhu; Liju Han (Int. J. Mach. Learn. Cybern., 2025)

Cross-Domain Human Activity Recognition via Domain Adaptation and Fused Attention. - Tianyun Zhu; Yilin Dong; Yong Zhou; Changming Zhu; Lei Cao 002 (IEEE J. Biomed. Health Informatics, 2025)

Cross-view attention with adversarial learning for incomplete multi-view clustering. - Wenjie Li; Changming Zhu (Multim. Syst., 2025)