Changming Zhu - RankMe

101 papers A* 1C 2Journal 82Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Cross-view attention enhancement and entropy-constrained contrastive learning for multi-view clustering. Multim. Syst. Jianping Wang, Changming Zhu
2025	J	`jnl`	A multi-view multi-label learning with incomplete data and self-adaptive correlations. Int. J. Mach. Learn. Cybern. Changming Zhu, Liju Han
2025	—	`conf`	An Improved YOLOv11 Algorithm For Traffic Sign Detection. MLIC Qianlong Chen, Changming Zhu, Hengbin Li
2025	—	`conf`	An improved YOLOv11 algorithm for rice diseases. MLIC Tao Wang, Changming Zhu
2025	—	`conf`	An object detection algorithm for complex urban scenarios based on YOLOv11. MLIC Wenshuai Yuan, Changming Zhu
2025	J	`jnl`	Attention-based credible evidential segmentation network for remote sensing ship segmentation. Int. J. Approx. Reason. Sicong Qu, Yilin Dong, Changming Zhu, Lei Cao, Kezhu Zuo
2025	J	`jnl`	Cross-Domain Human Activity Recognition via Domain Adaptation and Fused Attention. IEEE J. Biomed. Health Informatics Tianyun Zhu, Yilin Dong, Yong Zhou, Changming Zhu, Lei Cao
2025	J	`jnl`	Cross-view attention with adversarial learning for incomplete multi-view clustering. Multim. Syst. Wenjie Li, Changming Zhu
2025	J	`jnl`	DMVMLC-VT: Deep incomplete multi-view multi-label image classification with view translation and pseudo-label enhancement. Vis. Comput. Yanchen Liu, Changming Zhu
2025	J	`jnl`	DRMFE: optimizing incomplete multi-view clustering through dual recovery and multi-scale feature enhancement. Multim. Syst. Liju Han, Changming Zhu
2025	J	`jnl`	Deep multi-view clustering based on global hybrid alignment with cross-contrastive learning. Vis. Comput. Yang Yang, Changming Zhu
2025	J	`jnl`	E-FNet: A EEG-fNIRS dual-stream model for Brain-Computer Interfaces. Biomed. Signal Process. Control. Binlong Yu, Lei Cao, Jie Jia, Chunjiang Fan, Yilin Dong, Changming Zhu
2025	J	`jnl`	Global semantic space feature fusion for multi-view clustering. Multim. Syst. Lei Wang, Changming Zhu
2025	J	`jnl`	Incomplete multiview clustering with bipartite tensors. Appl. Intell. Jiaquan Luo, Changming Zhu
2025	J	`jnl`	Multi-Label Learning with Distribution Matching Ensemble: An Adaptive and Just-In-Time Weighted Ensemble Learning Algorithm for Classifying a Nonstationary Online Multi-Label Data Stream. Symmetry Chao Shen, Bingyu Liu, Changbin Shao, Xibei Yang, Sen Xu, Changming Zhu, Hualong Yu
2025	J	`jnl`	Multiple Self-Adaptive Correlation-Based Multiview Multilabel Learning. IEEE Trans. Cybern. Changming Zhu, Yimin Yan, Duoqian Miao, Yilin Dong, Witold Pedrycz
2025	J	`jnl`	Quantum Conflict Measurement in Decision Making for Out-of-Distribution Detection. CoRR Yilin Dong, Tianyun Zhu, Xinde Li, Jean Dezert, Rigui Zhou, Changming Zhu, Lei Cao, Shuzhi Sam Ge
2025	J	`jnl`	Similarity-guided contrastive learning for deep multi-view clustering. Multim. Syst. Guanzheng Jiang, Changming Zhu
2025	J	`jnl`	TSO-PL: A Novel Phase Linking Method for DS InSAR Based on a Two-Step Strategy to Optimize the Sample Coherence Matrix. IEEE Trans. Geosci. Remote. Sens. Bingqian Chen, Ningjie Liu, Hanwen Yu, Feng Zhao, Changming Zhu, Lipeng Zhang, Zihan Liu
2024	J	`jnl`	A Novel Knowledge-Learning Coupling Method for InSAR Phase Unwrapping of Large Surface Displacements in Coal Mining Areas. IEEE Trans. Geosci. Remote. Sens. Bingqian Chen, Yu Yang, Lipeng Zhang, Zhenghong Li, Changming Zhu, Chen Yu, Chuang Song, Ningjie Liu, Zihan Liu
2024	J	`jnl`	A novel multi-criteria conflict evidence combination method and its application to pattern recognition. Inf. Fusion Yilin Dong, Ningning Jiang, Rigui Zhou, Changming Zhu, Lei Cao, Tianyu Liu, Yuzhuo Xu, Xinde Li
2024	J	`jnl`	Deep contrastive multi-view clustering with doubly enhanced commonality. Multim. Syst. Zhiyuan Yang, Changming Zhu, Zishi Li
2024	J	`jnl`	Ensemble based fully convolutional transformer network for time series classification. Appl. Intell. Yilin Dong, Yuzhuo Xu, Rigui Zhou, Changming Zhu, Jin Liu, Jiamin Song, Xinliang Wu
2024	J	`jnl`	Land Cover Change Detection Based on Vector Polygons and Deep Learning With High-Resolution Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. Hui Zhang, Wei Liu, Hao Niu, Pengcheng Yin, Shiling Dong, Jialin Wu, Erzhu Li, Lianpeng Zhang, Changming Zhu
2024	J	`jnl`	Learning Idempotent Representation for Subspace Clustering. IEEE Trans. Knowl. Data Eng. Lai Wei, Shiteng Liu, Rigui Zhou, Changming Zhu, Jin Liu
2024	J	`jnl`	Nonagriculturalization Detection Based on Vector Polygons and Contrastive Learning With High-Resolution Remote Sensing Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Hui Zhang, Wei Liu, Changming Zhu, Hao Niu, Pengcheng Yin, Shiling Dong, Jialin Wu, Erzhu Li, Lianpeng Zhang
2024	J	`jnl`	Passive Perception and Path Tracking of Tourists in Mountain Scenic Spots Through Face to Body Two Stepwise Method. ISPRS Int. J. Geo Inf. Fan Yang, Changming Zhu, Kuntao Shi, Junli Li, Qian Shen, Xin Zhang
2024	J	`jnl`	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 Kun Zhang, Changming Zhu, Junli Li, Kuntao Shi, Xin Zhang
2024	J	`jnl`	SADCL-Net: Sparse-driven Attention with Dual-Consistency Learning Network for Incomplete Multi-view Clustering. Multim. Syst. Sicheng Xue, Changming Zhu
2024	J	`jnl`	Self-supervised graph clustering via attention auto-encoder with distribution specificity. Multim. Syst. Zishi Li, Changming Zhu
2024	J	`jnl`	Spatiotemporal Information, Near-Field Perception, and Service for Tourists by Distributed Camera and BeiDou Positioning System in Mountainous Scenic Areas. ISPRS Int. J. Geo Inf. Kuntao Shi, Changming Zhu, Junli Li, Xin Zhang, Fan Yang, Kun Zhang, Qian Shen
2024	J	`jnl`	View-Driven Multi-View Clustering via Contrastive Double-Learning. Entropy Shengcheng Liu, Changming Zhu, Zishi Li, Zhiyuan Yang, Wenjie Gu
2023	J	`jnl`	A simple multiple-fold correlation-based multi-view multi-label learning. Neural Comput. Appl. Changming Zhu, Jiyun Zhao, Shizhe Hu, Yilin Dong, Lei Cao, Fan Zhou, Yuhu Shi, Lai Wei, Rigui Zhou
2023	A*	`conf`	Adaptive Graph Convolutional Subspace Clustering. CVPR Lai Wei, Zhengwei Chen, Jun Yin, Changming Zhu, Rigui Zhou, Jin Liu
2023	J	`jnl`	Adaptive Graph Convolutional Subspace Clustering. CoRR Lai Wei, Zhengwei Chen, Jun Yin, Changming Zhu, Rigui Zhou, Jin Liu
2023	J	`jnl`	E-FPN: Evidential Feature Pyramid Network for Ship Classification. Remote. Sens. Yilin Dong, Kunhai Xu, Changming Zhu, Enguang Guan, Yihai Liu
2023	—	`conf`	E-Yolov7: A Life Jacket Detection Algorithm Based on Yolov7. FSDM Jiajia Xu, Changming Zhu
2023	J	`jnl`	Incomplete multi-view clustering via attention-based contrast learning. Int. J. Mach. Learn. Cybern. Yanhao Zhang, Changming Zhu
2023	J	`jnl`	Multisource Weighted Domain Adaptation With Evidential Reasoning for Activity Recognition. IEEE Trans. Ind. Informatics Yilin Dong, Xinde Li, Jean Dezert, Rigui Zhou, Changming Zhu, Lei Cao, Mohammad Omar Khyam, Shuzhi Sam Ge
2023	J	`jnl`	Shared-Weight-Based Multi-Dimensional Feature Alignment Network for Oriented Object Detection in Remote Sensing Imagery. Sensors Xinxin Hu, Changming Zhu
2023	J	`jnl`	Spatiotemporal Variation Characteristics and Dynamic Persistence Analysis of Carbon Sources/Sinks in the Yellow River Basin. Remote. Sens. Kun Zhang, Changming Zhu, Xiaodong Ma, Xin Zhang, Dehu Yang, Yakui Shao
2023	J	`jnl`	Window-Based Filtering Aerosol Retrieval Algorithm of Fine-Scale Remote Sensing Images: A Case Using Sentinel-2 Data in Beijing Region. Remote. Sens. Jian Zhou, Yingjie Li, Qingmiao Ma, Qiaomiao Liu, Weiguo Li, Zilu Miao, Changming Zhu
2023	J	`jnl`	Within- cross- consensus-view representation-based multi-view multi-label learning with incomplete data. Neurocomputing Changming Zhu, Yanchen Liu, Duoqian Miao, Yilin Dong, Witold Pedrycz
2022	—	`conf`	Cascaded ASPP and Attention Mechanism-based Deeplabv3+ Semantic Segmentation Model. CCIS Shuaiping Guo, Changming Zhu
2022	J	`jnl`	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. Jiacheng Shi, Wei Liu, Yihu Zhu, Shengli Wang, Sibao Hao, Changming Zhu, Haoyu Shan, Erzhu Li, Xing Li, Lianpeng Zhang
2022	J	`jnl`	Learning idempotent representation for subspace clustering. CoRR Lai Wei, Shiteng Liu, Rigui Zhou, Changming Zhu
2022	J	`jnl`	Multi-view Multi-label Learning with Incomplete Views and Labels. SN Comput. Sci. Changming Zhu, Lin Ma
2022	J	`jnl`	Multi-view multi-label-based online method with threefold correlations and dynamic updating multi-region. Neural Comput. Appl. Changming Zhu, Shuaiping Guo, Dujuan Cao, Yiting Zhou, Duoqian Miao, Witold Pedrycz
2022	J	`jnl`	Multiscale Detection and Assessment of Vegetation Eco-Environmental Restoration following Ecological Water Compensation in the Lower Reaches of the Tarim River, China. Remote. Sens. Changming Zhu, Qian Shen, Kun Zhang, Xin Zhang, Junli Li
2022	J	`jnl`	Semantic-Edge-Supervised Single-Stage Detector for Oriented Object Detection in Remote Sensing Imagery. Remote. Sens. Dujuan Cao, Changming Zhu, Xinxin Hu, Rigui Zhou
2022	J	`jnl`	Subspace Clustering via Structured Sparse Relation Representation. IEEE Trans. Neural Networks Learn. Syst. Lai Wei, Fenfen Ji, Hao Liu, Rigui Zhou, Changming Zhu, Xiafen Zhang
2022	J	`jnl`	Subspace clustering via adaptive least square regression with smooth affinities. Knowl. Based Syst. Lai Wei, Fanfan Zhang, Zhengwei Chen, Rigui Zhou, Changming Zhu
2022	—	`conf`	Super-resolution reconstruction of underwater sonar image based on multi-scale feature fusion. ICCIR Yawen Fan, Changming Zhu
2022	J	`jnl`	Weak-label-based global and local multi-view multi-label learning with three-way clustering. Int. J. Mach. Learn. Cybern. Changming Zhu, Dujuan Cao, Shuaiping Guo, Rigui Zhou, Lai Wei, Yilin Dong, Duoqian Miao
2021	J	`jnl`	A Mechanistic Approach for Modeling Soil Development Using Remotely Sensed Data Collected from Invaded Coasts. Remote. Sens. Li-An Liu, Ren-Min Yang, Xin Zhang, Changming Zhu, Zhong-Qi Zhang
2021	J	`jnl`	A Variable Search Space Strategy Based on Sequential Trust Region Determination Technique. IEEE Trans. Cybern. Qinqin Fan, Xuefeng Yan, Yilian Zhang, Changming Zhu
2021	J	`jnl`	Evidential Reasoning With Hesitant Fuzzy Belief Structures for Human Activity Recognition. IEEE Trans. Fuzzy Syst. Yilin Dong, Xinde Li, Jean Dezert, Rigui Zhou, Changming Zhu, Lai Wei, Shuzhi Sam Ge
2020	J	`jnl`	A new multi-view learning machine with incomplete data. Pattern Anal. Appl. Changming Zhu, Chao Chen, Rigui Zhou, Lai Wei, Xiafen Zhang
2020	J	`jnl`	Adaptive graph-regularized fixed rank representation for subspace segmentation. Pattern Anal. Appl. Lai Wei, Rigui Zhou, Changming Zhu, Xiafen Zhang, Jun Yin
2020	J	`jnl`	Entropy-based multi-view matrix completion for clustering with side information. Pattern Anal. Appl. Changming Zhu, Duoqian Miao
2020	J	`jnl`	Global and local multi-view multi-label learning with incomplete views and labels. Neural Comput. Appl. Changming Zhu, Panhong Wang, Lin Ma, Rigui Zhou, Lai Wei
2020	J	`jnl`	Global and local multi-view multi-label learning. Neurocomputing Changming Zhu, Duoqian Miao, Zhe Wang, Rigui Zhou, Lai Wei, Xiafen Zhang
2020	—	`conf`	Multi-view and Multi-label Method with Three-Way Decision-Based Clustering. PRCV (2) Changming Zhu, Lin Ma, Panhong Wang, Duoqian Miao
2020	J	`jnl`	Weight-and-Universum-based semi-supervised multi-view learning machine. Soft Comput. Changming Zhu, Duoqian Miao, Rigui Zhou, Lai Wei
2019	J	`jnl`	An Improved Structured Low-Rank Representation for Disjoint Subspace Segmentation. Neural Process. Lett. Lai Wei, Yan Zhang, Jun Yin, Rigui Zhou, Changming Zhu, Xiafeng Zhang
2019	—	`conf`	Improved Multi-view Multi-label Learning with Incomplete Views and Labels. ICDM Workshops Changming Zhu, Duoqian Miao, Rigui Zhou, Lai Wei
2019	J	`jnl`	Influence of kernel clustering on an RBFN. CAAI Trans. Intell. Technol. Changming Zhu, Duoqian Miao
2019	J	`jnl`	Latent graph-regularized inductive robust principal component analysis. Knowl. Based Syst. Lai Wei, Rigui Zhou, Jun Yin, Changming Zhu, Xiafen Zhang, Hao Liu
2019	J	`jnl`	Semi-supervised One-Pass Multi-view Learning with Variable Features and Views. Neural Process. Lett. Changming Zhu, Duoqian Miao
2019	J	`jnl`	Semi-supervised one-pass multi-view learning. Neural Comput. Appl. Changming Zhu, Zhe Wang, Rigui Zhou, Lai Wei, Xiafen Zhang, Yi Ding
2019	J	`jnl`	Subspace segmentation via self-regularized latent Expert Syst. Appl. Lai Wei, Rigui Zhou, Xiaofeng Wang, Changming Zhu, Jun Yin, Xiafen Zhang
2019	—	`conf`	Support Vector Data Description with Fractional Order Kernel. ICMLT Changming Zhu, Zhe Wang, Minguang Wang, Wenbo Jie, Daqi Gao
2019	J	`jnl`	Weight-based canonical sparse cross-view correlation analysis. Pattern Anal. Appl. Changming Zhu, Rigui Zhou, Chen Zu
2019	J	`jnl`	Weight-based label-unknown multi-view data set generation approach. Inf. Process. Lett. Changming Zhu, Chengjiu Mei, Rigui Zhou
2018	—	`conf`	Matrix-Instance-Based One-Pass AUC Optimization. PRCV (3) Changming Zhu, Chengjiu Mei, Hui Jiang, Ri-Gui Zhou
2018	J	`jnl`	Robust Subspace Segmentation by Self-Representation Constrained Low-Rank Representation. Neural Process. Lett. Lai Wei, Xiaofeng Wang, Aihua Wu, Rigui Zhou, Changming Zhu
2018	J	`jnl`	Similarity analysis between quantum images. Quantum Inf. Process. Ri-Gui Zhou, XingAo Liu, Changming Zhu, Lai Wei, Xiafen Zhang, Hou Ian
2017	J	`jnl`	Double-fold localized multiple matrix learning machine with Universum. Pattern Anal. Appl. Changming Zhu
2017	C	`conf`	Entropy-Based Support Matrix Machine. ICIS Changming Zhu
2017	J	`jnl`	Entropy-based matrix learning machine for imbalanced data sets. Pattern Recognit. Lett. Changming Zhu, Zhe Wang
2016	—	`conf`	A differential constellation trace figure based device identification method for ZigBee nodes. WCSP Linning Peng, Aiqun Hu, Yu Jiang, Yan Yan, Changming Zhu
2016	J	`jnl`	Data-Compression-Based Resource Management in Cloud Computing for Biology and Medicine. J. Comput. Sci. Eng. Changming Zhu
2016	J	`jnl`	Improved multi-kernel classification machine with Nyström approximation technique and Universum data. Neurocomputing Changming Zhu
2016	J	`jnl`	Influence of Data Preprocessing. J. Comput. Sci. Eng. Changming Zhu, Daqi Gao
2016	J	`jnl`	Mapping Fractional Cropland Distribution in Mato Grosso, Brazil Using Time Series MODIS Enhanced Vegetation Index and Landsat Thematic Mapper Data. Remote. Sens. Changming Zhu, Dengsheng Lu, Daniel Victoria, Luciano Vieira Dutra
2016	J	`jnl`	New design goal of a classifier: Global and local structural risk minimization. Knowl. Based Syst. Changming Zhu, Zhe Wang, Daqi Gao
2015	J	`jnl`	A modified kernel clustering method with multiple factors. Pattern Anal. Appl. Changming Zhu, Daqi Gao
2015	J	`jnl`	Double-fold localized multiple matrixized learning machine. Inf. Sci. Changming Zhu, Zhe Wang, Daqi Gao, Xiang Feng
2015	J	`jnl`	Globalized and localized canonical correlation analysis with multiple empirical kernel mapping. Neurocomputing Changming Zhu, Zhe Wang, Daqi Gao
2015	J	`jnl`	Improved multi-kernel classification machine with Nyström approximation technique. Pattern Recognit. Changming Zhu, Daqi Gao
2015	J	`jnl`	Multiple Matrix Learning Machine with Five Aspects of Pattern Information. Knowl. Based Syst. Changming Zhu, Daqi Gao
2014	J	`jnl`	Integrated Fisher linear discriminants: An empirical study. Pattern Recognit. Daqi Gao, Jun Ding, Changming Zhu
2014	J	`jnl`	Multi-kernel classification machine with reduced complexity. Knowl. Based Syst. Zhe Wang, Changming Zhu, Zengxin Niu, Daqi Gao, Xiang Feng
2013	J	`jnl`	Hybrid of Genetic Algorithm and Simulated Annealing for Support Vector Regression Optimization in Rainfall Forecasting. Int. J. Comput. Intell. Appl. Changming Zhu, Jiansheng Wu
2013	J	`jnl`	Three-fold structured classifier design based on matrix pattern. Pattern Recognit. Zhe Wang, Changming Zhu, Daqi Gao, Songcan Chen
2011	—	`conf`	Bostenlake Wetlands Water Level Automatic Retrieval and Trends Analysis Based on ICESatGLAS Global Laser Point Data. IScIDE Changming Zhu, Jiancheng Luo, Junli Li, Zhanfeng Shen, Qiting Huang
2011	—	`conf`	Coastal wetland automatic extraction based on remote sensing spatial - Spectral (Tupu) coupled information. ICSDM Changming Zhu, Jiancheng Luo, Zhanfeng Shen, Junli Li, Xi Cheng
2011	C	`conf`	Estimation of impervious surface based on integrated analysis of classification and regression by using SVM. IGARSS Xi Cheng, Jiancheng Luo, Zhanfeng Shen, Changming Zhu, Xin Zhang, Liegang Xia
2008	—	`conf`	A Novel Discrete Particle Swarm Optimization Algorithm for Microarray Data-Based Tumor Marker Gene Selection. CSSE (1) Hualong Yu, Guochang Gu, Haibo Liu, Jing Shen, Changming Zhu
2008	—	`conf`	Incremental Tumor Diagnosis Algorithm Using New Unlabeled Microarray. IMSCCS Hualong Yu, Guochang Gu, Haibo Liu, Jing Shen, Changming Zhu, Jun Ni
2008	—	`conf`	Using Synthetic Variable ratio Method to Fuse Multi-source Remotely Sensed Images Based on Sensor Spectral Response. IGARSS (2) Sheng Chen, Jiancheng Luo, Zhanfeng Shen, Geping Luo, Changming Zhu