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2025

Adaptive Homophily Clustering: Structure Homophily Graph Learning With Adaptive Filter for Hyperspectral ImageYao Ding 0010, Zhili Zhang, Weijie Kang, Aitao Yang, Junyang Zhao, Jie Feng 0003, Danfeng Hong, Qinghe Zheng. tgrs, 63:1-13, 2025. [doi]

Learning Unified Anchor Graph for Joint Clustering of Hyperspectral and LiDAR DataYaoming Cai, Zijia Zhang 0001, Xiaobo Liu 0001, Yao Ding 0010, Fei Li, Jinhua Tan. tnn, 36(4):6341-6354, April 2025. [doi]

MDA-HTD: Mask-driven dual autoencoders meet hyperspectral target detectionZhonghao Chen, Hongmin Gao 0001, Zhengtao Lu, Yiyan Zhang, Yao Ding 0010, Xin Li, Bing Zhang 0001. ipm, 62(4):104106, 2025. [doi]

A review of hyperspectral image classification based on graph neural networksXiaofeng Zhao, Junyi Ma, Lei Wang, Zhili Zhang, Yao Ding 0010, Xiongwu Xiao. air, 58(6):172, June 2025. [doi]

Scene reconstruction techniques for autonomous driving: a review of 3D Gaussian splattingHuixin Zhu, Zhili Zhang, Junyang Zhao, Hui Duan, Yao Ding 0010, Xiongwu Xiao, Junsong Yuan. air, 58(1):30, January 2025. [doi]

Multitask Siamese Network Guided by Enhanced Change Information for Semantic Change Detection in Bitemporal Remote Sensing ImagesXibing Zuo, Fei Jin, Lei Ding 0008, Shuxiang Wang, Yuzhun Lin, Bing Liu 0018, Yao Ding 0010. staeors, 18:61-77, 2025. [doi]

2024

TL2GH²T: Triple-Path Local-to-Global Network With Hybrid Head Transformer for Hyperspectral Change DetectionZhonghao Chen, Yuyang Wang, Swalpa Kumar Roy, Hongmin Gao 0001, Yao Ding 0010, Xiongwu Xiao, Zhenfeng Shao, Bing Zhang 0001. tgrs, 62:1-12, 2024. [doi]

SC-GAN: Structure-completion generative adversarial network for synthetic CT generation from MR images with truncated anatomyXinru Chen, Yao Zhao, Laurence E. Court, He Wang, Tinsu Pan, Jack Phan, Xin Wang, Yao Ding 0010, Jinzhong Yang. cmig, 113:102353, 2024. [doi]

Exploring Positional Distributions of Labeled Superpixels Within Graph Convolutional Networks for Hyperspectral ImageYun Ding, Mingyang Hou, Yao Ding 0010, Chun-Hou Zheng 0001, Qing Yan, De-Shuang Huang. tgrs, 62:1-15, 2024. [doi]

S²GFormer: A Transformer and Graph Convolution Combining Framework for Hyperspectral Image ClassificationShiqi Huang, Yao Ding 0010, Zhili Zhang, Aitao Yang, Shujun Yang, Yaoming Cai, Weiwei Cai 0001. tgrs, 62:1-14, 2024. [doi]

BiDiCOS: Camouflaged object segmentation via bilateral diffusion modelXinhao Jiang, Wei Cai, Yao Ding 0010, Xin Wang 0126, Danfeng Hong, Xingyu Di, Weijie Gao. eswa, 255:124747, 2024. [doi]

An Efficient and Lightweight Spectral-Spatial Feature Graph Contrastive Learning Framework for Hyperspectral Image ClusteringAitao Yang, Min Li 0030, Yao Ding 0010, Xiongwu Xiao, Yujie He 0001. tgrs, 62:1-14, 2024. [doi]

GraphMamba: An Efficient Graph Structure Learning Vision Mamba for Hyperspectral Image ClassificationAitao Yang, Min Li 0030, Yao Ding 0010, Leyuan Fang, Yaoming Cai, Yujie He 0001. tgrs, 62:1-14, 2024. [doi]

Unlabeled Data Guided Partial Label Learning for Hyperspectral Image ClassificationShujun Yang, Yuheng Jia, Yao Ding 0010, Xin Wu, Danfeng Hong. lgrs, 21:1-5, 2024. [doi]

Application of complete ensemble empirical mode decomposition based multi-stream informer (CEEMD-MsI) in PM2.5 concentration long-term predictionQinghe Zheng, Xinyu Tian, Zhiguo Yu, Bo Jin, Nan Jiang, Yao Ding 0010, Mingqiang Yang, Abdussalam Elhanashi, Sergio Saponara, Kidiyo Kpalma. eswa, 245:123008, 2024. [doi]

2023

Multi-scale receptive fields: Graph attention neural network for hyperspectral image classificationYao Ding 0010, Zhili Zhang, Xiaofeng Zhao, Danfeng Hong, Wei Cai, Nengjun Yang, Bei Wang. eswa, 223:119858, August 2023. [doi]

Graph-Structured Convolution-Guided Continuous Context Threshold-Aware Networks for Hyperspectral Image ClassificationWeiwei Cai, Pengjiang Qian, Yao Ding 0010, Meiqiao Bi, Xin-ning, Danfeng Hong, Xiao Bai 0001. tgrs, 61:1-18, 2023. [doi]

Fully Linear Graph Convolutional Networks for Semi-Supervised and Unsupervised ClassificationYaoming Cai, Zijia Zhang, Pedram Ghamisi, Zhihua Cai, Xiaobo Liu 0001, Yao Ding 0010. tist, 14(3), 2023. [doi]

Stereo Attention Cross-Decoupling Fusion-Guided Federated Neural Learning for Hyperspectral Image ClassificationWeiwei Cai, Ming Gao, Yao Ding 0010, Xin-ning, Xiao Bai 0001, Pengjiang Qian. tgrs, 61:1-16, 2023. [doi]

Local aggregation and global attention network for hyperspectral image classification with spectral-induced aligned superpixel segmentationZhonghao Chen, Guoyong Wu, Hongmin Gao 0001, Yao Ding 0010, Danfeng Hong, Bing Zhang. eswa, 232:120828, December 2023. [doi]

Recursive RX with Extended Multi-Attribute Profiles for Hyperspectral Anomaly DetectionFang He, Shuai Yan, Yao Ding 0010, Zhensheng Sun, Jianwei Zhao 0002, Haojie Hu, Yujie Zhu. remotesensing, 15(3):589, February 2023. [doi]

Camouflaged Object Detection Based on Ternary Cascade PerceptionXinhao Jiang, Wei Cai, Yao Ding 0010, Xin Wang, Zhiyong Yang, Xingyu Di, Weijie Gao. remotesensing, 15(5):1188, March 2023. [doi]

Camouflaged Object Segmentation Based on Joint Salient Object for Contrastive LearningXinhao Jiang, Wei Cai, Yao Ding 0010, Xin Wang, Danfeng Hong, Zhiyong Yang, Weijie Gao. tim, 72:1-16, 2023. [doi]

A family of spatio-temporal optimized finite difference schemes with adaptive dispersion and critical-adaptive dissipation for compressible flowsSiye Li, Zhensheng Sun, Bai-Lin Zha, Yujie Zhu, Yao Ding 0010, Yuting Xia. jcphy, 474:111821, February 2023. [doi]

A Real-Time Vehicle Speed Prediction Method Based on a Lightweight Informer Driven by Big Temporal DataXinyu Tian, Qinghe Zheng, Zhiguo Yu, Mingqiang Yang, Yao Ding 0010, Abdussalam Elhanashi, Sergio Saponara, Kidiyo Kpalma. bdcc, 7(3):131, 2023. [doi]

GTFN: GCN and Transformer Fusion Network With Spatial-Spectral Features for Hyperspectral Image ClassificationAitao Yang, Min Li, Yao Ding 0010, Danfeng Hong, Yilong Lv, Yujie He. tgrs, 61:1-15, 2023. [doi]

Superpixelwise Low-Rank Approximation-Based Partial Label Learning for Hyperspectral Image ClassificationShujun Yang, Yu Zhang 0006, Yao Ding 0010, Danfeng Hong. lgrs, 20:1-5, 2023. [doi]

MDMASNet: A dual-task interactive semi-supervised remote sensing image segmentation methodLiangji Zhang, Zaichun Yang, Guoxiong Zhou, Chao Lu, Aibin Chen, Yao Ding 0010, Yanfeng Wang, Liujun Li, Weiwei Cai. sigpro, 212:109152, November 2023. [doi]

Multireceptive field: An adaptive path aggregation graph neural framework for hyperspectral image classificationZhili Zhang, Yao Ding 0010, Xiaofeng Zhao, Siye Li, Nengjun Yang, Yaoming Cai, Ying Zhan. eswa, 217:119508, May 2023. [doi]

2022

Unsupervised Self-Correlated Learning Smoothy Enhanced Locality Preserving Graph Convolution Embedding Clustering for Hyperspectral ImagesYao Ding 0010, Zhili Zhang, Xiaofeng Zhao, Wei Cai, Nengjun Yang, Haojie Hu, Xianxiang Huang, Yuan Cao, Weiwei Cai. tgrs, 60:1-16, 2022. [doi]

Graph Sample and Aggregate-Attention Network for Hyperspectral Image ClassificationYao Ding 0010, Xiaofeng Zhao, Zhili Zhang, Wei Cai, Nengjun Yang. lgrs, 19:1-5, 2022. [doi]

Semi-Supervised Locality Preserving Dense Graph Neural Network With ARMA Filters and Context-Aware Learning for Hyperspectral Image ClassificationYao Ding 0010, Xiaofeng Zhao, Zhili Zhang, Wei Cai, Nengjun Yang, Ying Zhan. tgrs, 60:1-12, 2022. [doi]

Self-Supervised Locality Preserving Low-Pass Graph Convolutional Embedding for Large-Scale Hyperspectral Image ClusteringYao Ding 0010, Zhili Zhang, Xiaofeng Zhao, Yaoming Cai, Siye Li, Biao Deng, Weiwei Cai. tgrs, 60:1-16, 2022. [doi]

AF2GNN: Graph convolution with adaptive filters and aggregator fusion for hyperspectral image classificationYao Ding 0010, Zhili Zhang, Xiaofeng Zhao, Danfeng Hong, Wei Li, Wei Cai, Ying Zhan. isci, 602:201-219, 2022. [doi]

Multi-feature fusion: Graph neural network and CNN combining for hyperspectral image classificationYao Ding 0010, Zhili Zhang, Xiaofeng Zhao, Danfeng Hong, Wei Cai, Chengguo Yu, Nengjun Yang, Weiwei Cai. ijon, 501:246-257, 2022. [doi]

Superpixel Contracted Neighborhood Contrastive Subspace Clustering Network for Hyperspectral ImagesYaoming Cai, Zijia Zhang, Pedram Ghamisi, Yao Ding 0010, Xiaobo Liu 0001, Zhihua Cai, Richard Gloaguen. tgrs, 60:1-13, 2022. [doi]

Bi-Kernel Graph Neural Network with Adaptive Propagation Mechanism for Hyperspectral Image ClassificationHaojie Hu, Yao Ding 0010, Fang He, Fenggan Zhang, Jianwei Zhao 0002, Minli Yao. remotesensing, 14(24):6224, December 2022. [doi]

Unifying Label Propagation and Graph Sparsification for Hyperspectral Image ClassificationHaojie Hu, Fang He, Fenggan Zhang, Yao Ding 0010, Xin Wu, Jianwei Zhao 0002, Minli Yao. lgrs, 19:1-5, 2022. [doi]

Evaluation of Vehicle Camouflage Effectiveness Under a Complex Background Based on the Time-Limited Search ModelDong Wang, Qinhe Gao, Zhihao Liu, Yao Ding 0010, Tong Huang, Lei Gao. staeors, 15:6133-6143, 2022. [doi]

Hyperspectral Image Classification Based on Graph Transformer Network and Graph Attention MechanismXiaofeng Zhao, Jiahui Niu, Chuntong Liu, Yao Ding 0010, Danfeng Hong. lgrs, 19:1-5, 2022. [doi]

2021

Multiscale Graph Sample and Aggregate Network With Context-Aware Learning for Hyperspectral Image ClassificationYao Ding 0010, Xiaofeng Zhao, Zhili Zhang, Wei Cai, Nengjun Yang. staeors, 14:4561-4572, 2021. [doi]

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