Yao Ding

According to our database, Yao Ding authored at least 29 papers between 2021 and 2024.

Collaborative distances:

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

2024

Unlabeled Data Guided Partial Label Learning for Hyperspectral Image Classification.

Shujun Yang, Yuheng Jia, Yao Ding, Xin Wu, Danfeng Hong

IEEE Geosci. Remote. Sens. Lett., 2024

2023

Local aggregation and global attention network for hyperspectral image classification with spectral-induced aligned superpixel segmentation.

Zhonghao Chen, Guoyong Wu, Hongmin Gao, Yao Ding, Danfeng Hong, Bing Zhang

Expert Syst. Appl., December, 2023

MDMASNet: A dual-task interactive semi-supervised remote sensing image segmentation method.

Liangji Zhang, Zaichun Yang, Guoxiong Zhou, Chao Lu, Aibin Chen, Yao Ding, Yanfeng Wang, Liujun Li, Weiwei Cai

Signal Process., November, 2023

Multi-scale receptive fields: Graph attention neural network for hyperspectral image classification.

Yao Ding, Zhili Zhang, Xiaofeng Zhao, Danfeng Hong, Wei Cai, Nengjun Yang, Bei Wang

Expert Syst. Appl., August, 2023

Multireceptive field: An adaptive path aggregation graph neural framework for hyperspectral image classification.

Zhili Zhang, Yao Ding, Xiaofeng Zhao, Siye Li, Nengjun Yang, Yaoming Cai, Ying Zhan

Expert Syst. Appl., May, 2023

Camouflaged Object Detection Based on Ternary Cascade Perception.

Xinhao Jiang, Wei Cai, Yao Ding, Xin Wang, Zhiyong Yang, Xingyu Di, Weijie Gao

Remote. Sens., March, 2023

Recursive RX with Extended Multi-Attribute Profiles for Hyperspectral Anomaly Detection.

Fang He, Shuai Yan, Yao Ding, Zhensheng Sun, Jianwei Zhao, Haojie Hu, Yujie Zhu

Remote. Sens., February, 2023

A family of spatio-temporal optimized finite difference schemes with adaptive dispersion and critical-adaptive dissipation for compressible flows.

Siye Li, Zhensheng Sun, Bai-Lin Zha, Yujie Zhu, Yao Ding, Yuting Xia

J. Comput. Phys., February, 2023

Fully Linear Graph Convolutional Networks for Semi-Supervised and Unsupervised Classification.

Yaoming Cai, Zijia Zhang, Pedram Ghamisi, Zhihua Cai, Xiaobo Liu, Yao Ding

ACM Trans. Intell. Syst. Technol., 2023

Camouflaged Object Segmentation Based on Joint Salient Object for Contrastive Learning.

Xinhao Jiang, Wei Cai, Yao Ding, Xin Wang, Danfeng Hong, Zhiyong Yang, Weijie Gao

IEEE Trans. Instrum. Meas., 2023

GTFN: GCN and Transformer Fusion Network With Spatial-Spectral Features for Hyperspectral Image Classification.

Aitao Yang, Min Li, Yao Ding, Danfeng Hong, Yilong Lv, Yujie He

IEEE Trans. Geosci. Remote. Sens., 2023

Graph-Structured Convolution-Guided Continuous Context Threshold-Aware Networks for Hyperspectral Image Classification.

Weiwei Cai, Pengjiang Qian, Yao Ding, Meiqiao Bi, Xin Ning, Danfeng Hong, Xiao Bai

IEEE Trans. Geosci. Remote. Sens., 2023

Stereo Attention Cross-Decoupling Fusion-Guided Federated Neural Learning for Hyperspectral Image Classification.

Weiwei Cai, Ming Gao, Yao Ding, Xin Ning, Xiao Bai, Pengjiang Qian

IEEE Trans. Geosci. Remote. Sens., 2023

Superpixelwise Low-Rank Approximation-Based Partial Label Learning for Hyperspectral Image Classification.

Shujun Yang, Yu Zhang, Yao Ding, Danfeng Hong

IEEE Geosci. Remote. Sens. Lett., 2023

A Real-Time Vehicle Speed Prediction Method Based on a Lightweight Informer Driven by Big Temporal Data.

Xinyu Tian, Qinghe Zheng, Zhiguo Yu, Mingqiang Yang, Yao Ding, Abdussalam Elhanashi, Sergio Saponara, Kidiyo Kpalma

Big Data Cogn. Comput., 2023

2022

Bi-Kernel Graph Neural Network with Adaptive Propagation Mechanism for Hyperspectral Image Classification.

Haojie Hu, Yao Ding, Fang He, Fenggan Zhang, Jianwei Zhao, Minli Yao

Remote. Sens., December, 2022

Semi-Supervised Locality Preserving Dense Graph Neural Network With ARMA Filters and Context-Aware Learning for Hyperspectral Image Classification.

Yao Ding, Xiaofeng Zhao, Zhili Zhang, Wei Cai, Nengjun Yang, Ying Zhan

IEEE Trans. Geosci. Remote. Sens., 2022

Unsupervised Self-Correlated Learning Smoothy Enhanced Locality Preserving Graph Convolution Embedding Clustering for Hyperspectral Images.

Yao Ding, Zhili Zhang, Xiaofeng Zhao, Wei Cai, Nengjun Yang, Haojie Hu, Xianxiang Huang, Yuan Cao, Weiwei Cai

IEEE Trans. Geosci. Remote. Sens., 2022

Self-Supervised Locality Preserving Low-Pass Graph Convolutional Embedding for Large-Scale Hyperspectral Image Clustering.

Yao Ding, Zhili Zhang, Xiaofeng Zhao, Yaoming Cai, Siye Li, Biao Deng, Weiwei Cai

IEEE Trans. Geosci. Remote. Sens., 2022

Superpixel Contracted Neighborhood Contrastive Subspace Clustering Network for Hyperspectral Images.

Yaoming Cai, Zijia Zhang, Pedram Ghamisi, Yao Ding, Xiaobo Liu, Zhihua Cai, Richard Gloaguen

IEEE Trans. Geosci. Remote. Sens., 2022

Evaluation of Vehicle Camouflage Effectiveness Under a Complex Background Based on the Time-Limited Search Model.

Dong Wang, Qinhe Gao, Zhihao Liu, Yao Ding, Tong Huang, Lei Gao

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

Hyperspectral Image Classification Based on Graph Transformer Network and Graph Attention Mechanism.

Xiaofeng Zhao, Jiahui Niu, Chuntong Liu, Yao Ding, Danfeng Hong

IEEE Geosci. Remote. Sens. Lett., 2022

Unifying Label Propagation and Graph Sparsification for Hyperspectral Image Classification.

Haojie Hu, Fang He, Fenggan Zhang, Yao Ding, Xin Wu, Jianwei Zhao, Minli Yao

IEEE Geosci. Remote. Sens. Lett., 2022

Graph Sample and Aggregate-Attention Network for Hyperspectral Image Classification.

Yao Ding, Xiaofeng Zhao, Zhili Zhang, Wei Cai, Nengjun Yang

IEEE Geosci. Remote. Sens. Lett., 2022

A Spatio-temporal Optimal, Hybird Compact-WENO Scheme with Minimized Dispersion and Critical-adaptive Dissipation for Solving Compressible Flows.

Siye Li, Zhensheng Sun, Yu Hu, Yujie Zhu, Yao Ding

J. Sci. Comput., 2022

AF2GNN: Graph convolution with adaptive filters and aggregator fusion for hyperspectral image classification.

Yao Ding, Zhili Zhang, Xiaofeng Zhao, Danfeng Hong, Wei Li, Wei Cai, Ying Zhan

Inf. Sci., 2022

Multi-feature fusion: Graph neural network and CNN combining for hyperspectral image classification.

Yao Ding, Zhili Zhang, Xiaofeng Zhao, Danfeng Hong, Wei Cai, Chengguo Yu, Nengjun Yang, Weiwei Cai

Neurocomputing, 2022

2021

Multiscale Graph Sample and Aggregate Network With Context-Aware Learning for Hyperspectral Image Classification.

Yao Ding, Xiaofeng Zhao, Zhili Zhang, Wei Cai, Nengjun Yang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Fully Linear Graph Convolutional Networks for Semi-Supervised Learning and Clustering.

Yaoming Cai, Zijia Zhang, Zhihua Cai, Xiaobo Liu, Yao Ding, Pedram Ghamisi

CoRR, 2021