Yao Ding

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 34

Top Topics

Image Classification

Spectral Features

Top Venues

IEEE Trans. Geosci. Remote. Sens.

Expert Syst. Appl.

IEEE Geosci. Remote. Sens. Lett.

Publications

Aitao Yang, Min Li, Yao Ding, Leyuan Fang, Yaoming Cai, Yujie He
GraphMamba: An Efficient Graph Structure Learning Vision Mamba for Hyperspectral Image Classification. CoRR (2024)
Qinghe Zheng, Xinyu Tian, Zhiguo Yu, Bo Jin, Nan Jiang, Yao Ding, Mingqiang Yang, Abdussalam Elhanashi, Sergio Saponara, Kidiyo Kpalma
Application of complete ensemble empirical mode decomposition based multi-stream informer (CEEMD-MsI) in PM2.5 concentration long-term prediction. Expert Syst. Appl. 245 (2024)
Shujun Yang, Yuheng Jia, Yao Ding, Xin Wu, Danfeng Hong
Unlabeled Data Guided Partial Label Learning for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 21 (2024)
Xinhao Jiang, Wei Cai, Yao Ding, Xin Wang, Danfeng Hong, Xingyu Di, Weijie Gao
BiDiCOS: Camouflaged object segmentation via bilateral diffusion model. Expert Syst. Appl. 255 (2024)
Shujun Yang, Yu Zhang, Yao Ding, Danfeng Hong
Superpixelwise Low-rank Approximation based Partial Label Learning for Hyperspectral Image Classification. CoRR (2024)
Xinru Chen, Yao Zhao, Laurence E. Court, He Wang, Tinsu Pan, Jack Phan, Xin Wang, Yao Ding, Jinzhong Yang
SC-GAN: Structure-completion generative adversarial network for synthetic CT generation from MR images with truncated anatomy. Comput. Medical Imaging Graph. 113 (2024)
Zhili Zhang, Yao Ding, Xiaofeng Zhao, Siye Li, Nengjun Yang, Yaoming Cai, Ying Zhan
Multireceptive field: An adaptive path aggregation graph neural framework for hyperspectral image classification. Expert Syst. Appl. 217 (2023)
Yaoming Cai, Zijia Zhang, Pedram Ghamisi, Zhihua Cai, Xiaobo Liu, Yao Ding
Fully Linear Graph Convolutional Networks for Semi-Supervised and Unsupervised Classification. ACM Trans. Intell. Syst. Technol. 14 (3) (2023)
Xinyu Tian, Qinghe Zheng, Zhiguo Yu, Mingqiang Yang, Yao Ding, Abdussalam Elhanashi, Sergio Saponara, Kidiyo Kpalma
A Real-Time Vehicle Speed Prediction Method Based on a Lightweight Informer Driven by Big Temporal Data. Big Data Cogn. Comput. 7 (3) (2023)
Siye Li, Zhensheng Sun, Bai-Lin Zha, Yujie Zhu, Yao Ding, Yuting Xia
A family of spatio-temporal optimized finite difference schemes with adaptive dispersion and critical-adaptive dissipation for compressible flows. J. Comput. Phys. 474 (2023)
Weiwei Cai, Pengjiang Qian, Yao Ding, Meiqiao Bi, Xin Ning, Danfeng Hong, Xiao Bai
Graph-Structured Convolution-Guided Continuous Context Threshold-Aware Networks for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
Fang He, Shuai Yan, Yao Ding, Zhensheng Sun, Jianwei Zhao, Haojie Hu, Yujie Zhu
Recursive RX with Extended Multi-Attribute Profiles for Hyperspectral Anomaly Detection. Remote. Sens. 15 (3) (2023)
Liangji Zhang, Zaichun Yang, Guoxiong Zhou, Chao Lu, Aibin Chen, Yao Ding, Yanfeng Wang, Liujun Li, Weiwei Cai
MDMASNet: A dual-task interactive semi-supervised remote sensing image segmentation method. Signal Process. 212 (2023)
Yao Ding, Zhili Zhang, Xiaofeng Zhao, Danfeng Hong, Wei Cai, Nengjun Yang, Bei Wang
Multi-scale receptive fields: Graph attention neural network for hyperspectral image classification. Expert Syst. Appl. 223 (2023)
Weiwei Cai, Ming Gao, Yao Ding, Xin Ning, Xiao Bai, Pengjiang Qian
Stereo Attention Cross-Decoupling Fusion-Guided Federated Neural Learning for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
Xinhao Jiang, Wei Cai, Yao Ding, Xin Wang, Danfeng Hong, Zhiyong Yang, Weijie Gao
Camouflaged Object Segmentation Based on Joint Salient Object for Contrastive Learning. IEEE Trans. Instrum. Meas. 72 (2023)
Zhonghao Chen, Guoyong Wu, Hongmin Gao, Yao Ding, Danfeng Hong, Bing Zhang
Local aggregation and global attention network for hyperspectral image classification with spectral-induced aligned superpixel segmentation. Expert Syst. Appl. 232 (2023)
Shujun Yang, Yu Zhang, Yao Ding, Danfeng Hong
Superpixelwise Low-Rank Approximation-Based Partial Label Learning for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 20 (2023)
Xinhao Jiang, Wei Cai, Yao Ding, Xin Wang, Zhiyong Yang, Xingyu Di, Weijie Gao
Camouflaged Object Detection Based on Ternary Cascade Perception. Remote. Sens. 15 (5) (2023)
Aitao Yang, Min Li, Yao Ding, Danfeng Hong, Yilong Lv, Yujie He
GTFN: GCN and Transformer Fusion Network With Spatial-Spectral Features for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
Siye Li, Zhensheng Sun, Yu Hu, Yujie Zhu, Yao Ding
A Spatio-temporal Optimal, Hybird Compact-WENO Scheme with Minimized Dispersion and Critical-adaptive Dissipation for Solving Compressible Flows. J. Sci. Comput. 92 (1) (2022)
Yao Ding, Xiaofeng Zhao, Zhili Zhang, Wei Cai, Nengjun Yang
Graph Sample and Aggregate-Attention Network for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Yaoming Cai, Zijia Zhang, Pedram Ghamisi, Yao Ding, Xiaobo Liu, Zhihua Cai, Richard Gloaguen
Superpixel Contracted Neighborhood Contrastive Subspace Clustering Network for Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Yao Ding, Zhili Zhang, Xiaofeng Zhao, Danfeng Hong, Wei Li, Wei Cai, Ying Zhan
AF2GNN: Graph convolution with adaptive filters and aggregator fusion for hyperspectral image classification. Inf. Sci. 602 (2022)
Haojie Hu, Fang He, Fenggan Zhang, Yao Ding, Xin Wu, Jianwei Zhao, Minli Yao
Unifying Label Propagation and Graph Sparsification for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Dong Wang, Qinhe Gao, Zhihao Liu, Yao Ding, Tong Huang, Lei Gao
Evaluation of Vehicle Camouflage Effectiveness Under a Complex Background Based on the Time-Limited Search Model. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15 (2022)
Xiaofeng Zhao, Jiahui Niu, Chuntong Liu, Yao Ding, Danfeng Hong
Hyperspectral Image Classification Based on Graph Transformer Network and Graph Attention Mechanism. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Yao Ding, Xiaofeng Zhao, Zhili Zhang, Wei Cai, Nengjun Yang, Ying Zhan
Semi-Supervised Locality Preserving Dense Graph Neural Network With ARMA Filters and Context-Aware Learning for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Yao Ding, Zhili Zhang, Xiaofeng Zhao, Danfeng Hong, Wei Cai, Chengguo Yu, Nengjun Yang, Weiwei Cai
Multi-feature fusion: Graph neural network and CNN combining for hyperspectral image classification. Neurocomputing 501 (2022)
Yao Ding, Zhili Zhang, Xiaofeng Zhao, Wei Cai, Nengjun Yang, Haojie Hu, Xianxiang Huang, Yuan Cao, Weiwei Cai
Unsupervised Self-Correlated Learning Smoothy Enhanced Locality Preserving Graph Convolution Embedding Clustering for Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Yao Ding, Zhili Zhang, Xiaofeng Zhao, Yaoming Cai, Siye Li, Biao Deng, Weiwei Cai
Self-Supervised Locality Preserving Low-Pass Graph Convolutional Embedding for Large-Scale Hyperspectral Image Clustering. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Haojie Hu, Yao Ding, Fang He, Fenggan Zhang, Jianwei Zhao, Minli Yao
Bi-Kernel Graph Neural Network with Adaptive Propagation Mechanism for Hyperspectral Image Classification. Remote. Sens. 14 (24) (2022)
Yao Ding, Xiaofeng Zhao, Zhili Zhang, Wei Cai, Nengjun Yang
Multiscale Graph Sample and Aggregate Network With Context-Aware Learning for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14 (2021)
Yaoming Cai, Zijia Zhang, Zhihua Cai, Xiaobo Liu, Yao Ding, Pedram Ghamisi
Fully Linear Graph Convolutional Networks for Semi-Supervised Learning and Clustering. CoRR (2021)