Yao Ding

58 papers Journal 56Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Multi-source data spatio-temporal reconstruction and transfer fusion method for air traffic flow prediction.
Inf. Sci.
Weijie Kang, Yuan Feng, Yao Ding, Bin Hu, Yujie Jin, Witold Pedrycz, Fuqing Li
2026 J jnl
Self cycle strategy for unpaired visible-to-infrared image translation.
Pattern Recognit.
Decao Ma, Juan Su, Bing Li, Yong Xian, Shao-peng Li, Yao Ding
2025 J jnl
A comprehensive survey for Hyperspectral Image Classification: The evolution from conventional to transformers and Mamba models.
Neurocomputing
Muhammad Ahmad, Salvatore Distefano, Adil Mehmood Khan, Manuel Mazzara, Chenyu Li, Hao Li, Jagannath Aryal, Yao Ding, Gemine Vivone, Danfeng Hong
2025 J jnl
A review of hyperspectral image classification based on graph neural networks.
Artif. Intell. Rev.
Xiaofeng Zhao, Junyi Ma, Lei Wang, Zhili Zhang, Yao Ding, Xiongwu Xiao
2025 J jnl
A robust low-pass filtering graph diffusion clustering framework for hyperspectral images.
Knowl. Based Syst.
Aitao Yang, Min Li, Yao Ding, Yaoming Cai, Jie Feng, Yujie He, Yuanchao Su
2025 J jnl
Adaptive Homophily Clustering: Structure Homophily Graph Learning With Adaptive Filter for Hyperspectral Image.
IEEE Trans. Geosci. Remote. Sens.
Yao Ding, Zhili Zhang, Weijie Kang, Aitao Yang, Junyang Zhao, Jie Feng, Danfeng Hong, Qinghe Zheng
2025 J jnl
Adaptive Homophily Clustering: Structure Homophily Graph Learning with Adaptive Filter for Hyperspectral Image.
CoRR
Yao Ding, Weijie Kang, Aitao Yang, Zhili Zhang, Junyang Zhao, Jie Feng, Danfeng Hong, Qinhe Zheng
2025 — conf
Anchor-Guided Scalable Deep Subspace Clustering.
PRCV (1)
Jiale Li, Yaoming Cai, Zijia Zhang, Yao Ding, Fei Li
2025 J jnl
CTFN: Multi-scale CNN and transformer with graph encodings fusion network for hyperspectral image classification.
Expert Syst. Appl.
Aitao Yang, Min Li, Yao Ding, Yujie He, Meiqiao Bi, Qinghe Zheng
2025 J jnl
GTCFN: A Graph-Based Transformer and Convolution Fusion Network for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens.
Xiaofeng Zhao, Junyi Ma, Lei Wang, Jiayi Shi, Yao Ding, Zhili Zhang, Jie Feng
2025 J jnl
Learning Unified Anchor Graph for Joint Clustering of Hyperspectral and LiDAR Data.
IEEE Trans. Neural Networks Learn. Syst.
Yaoming Cai, Zijia Zhang, Xiaobo Liu, Yao Ding, Fei Li, Jinhua Tan
2025 J jnl
MDA-HTD: Mask-driven dual autoencoders meet hyperspectral target detection.
Inf. Process. Manag.
Zhonghao Chen, Hongmin Gao, Zhengtao Lu, Yiyan Zhang, Yao Ding, Xin Li, Bing Zhang
2025 J jnl
Multitask Siamese Network Guided by Enhanced Change Information for Semantic Change Detection in Bitemporal Remote Sensing Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Xibing Zuo, Fei Jin, Lei Ding, Shuxiang Wang, Yuzhun Lin, Bing Liu, Yao Ding
2025 J jnl
SLCGC: A lightweight Self-supervised Low-Pass Contrastive Graph Clustering Network for Hyperspectral Images.
IEEE Trans. Multim.
Yao Ding, Zhili Zhang, Aitao Yang, Yaoming Cai, Xiongwu Xiao, Danfeng Hong, Junsong Yuan
2025 J jnl
Scene reconstruction techniques for autonomous driving: a review of 3D Gaussian splatting.
Artif. Intell. Rev.
Huixin Zhu, Zhili Zhang, Junyang Zhao, Hui Duan, Yao Ding, Xiongwu Xiao, Junsong Yuan
2025 — conf
Uncertainty-Aware Deep Anchor Graph Learning for Multimodal Remote Sensing Image Clustering.
PRCV (6)
Xiaodi Yu, Yaoming Cai, Zijia Zhang, Yao Ding, Xiaobo Liu, Fei Li
2024 J jnl
An Efficient and Lightweight Spectral-Spatial Feature Graph Contrastive Learning Framework for Hyperspectral Image Clustering.
IEEE Trans. Geosci. Remote. Sens.
Aitao Yang, Min Li, Yao Ding, Xiongwu Xiao, Yujie He
2024 J jnl
Application of complete ensemble empirical mode decomposition based multi-stream informer (CEEMD-MsI) in PM2.5 concentration long-term prediction.
Expert Syst. Appl.
Qinghe Zheng, Xinyu Tian, Zhiguo Yu, Bo Jin, Nan Jiang, Yao Ding, Mingqiang Yang, Abdussalam Elhanashi, Sergio Saponara, Kidiyo Kpalma
2024 J jnl
BiDiCOS: Camouflaged object segmentation via bilateral diffusion model.
Expert Syst. Appl.
Xinhao Jiang, Wei Cai, Yao Ding, Xin Wang, Danfeng Hong, Xingyu Di, Weijie Gao
2024 J jnl
Capsule Attention Network for Hyperspectral Image Classification.
Remote. Sens.
Nian Wang, Aitao Yang, Zhigao Cui, Yao Ding, Yuanliang Xue, Yanzhao Su
2024 J jnl
DBSF-Net: Infrared Image Colorization Based on the Generative Adversarial Model with Dual-Branch Feature Extraction and Spatial-Frequency-Domain Discrimination.
Remote. Sens.
Shaopeng Li, Decao Ma, Yao Ding, Yong Xian, Tao Zhang
2024 J jnl
Exploring Positional Distributions of Labeled Superpixels Within Graph Convolutional Networks for Hyperspectral Image.
IEEE Trans. Geosci. Remote. Sens.
Yun Ding, Mingyang Hou, Yao Ding, Chun-Hou Zheng, Qing Yan, De-Shuang Huang
2024 J jnl
GraphMamba: An Efficient Graph Structure Learning Vision Mamba for Hyperspectral Image Classification.
CoRR
Aitao Yang, Min Li, Yao Ding, Leyuan Fang, Yaoming Cai, Yujie He
2024 J jnl
GraphMamba: An Efficient Graph Structure Learning Vision Mamba for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens.
Aitao Yang, Min Li, Yao Ding, Leyuan Fang, Yaoming Cai, Yujie He
2024 J jnl
Lightweight Design for Infrared Dim and Small Target Detection in Complex Environments.
Remote. Sens.
Yan Chang, Decao Ma, Yao Ding, Kefu Chen, Daming Zhou
2024 J jnl
SC-GAN: Structure-completion generative adversarial network for synthetic CT generation from MR images with truncated anatomy.
Comput. Medical Imaging Graph.
Xinru Chen, Yao Zhao, Laurence E. Court, He Wang, Tinsu Pan, Jack Phan, Xin Wang, Yao Ding, Jinzhong Yang
2024 J jnl
Superpixelwise Low-rank Approximation based Partial Label Learning for Hyperspectral Image Classification.
CoRR
Shujun Yang, Yu Zhang, Yao Ding, Danfeng Hong
2024 J jnl
S²GFormer: A Transformer and Graph Convolution Combining Framework for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens.
Shiqi Huang, Yao Ding, Zhili Zhang, Aitao Yang, Shujun Yang, Yaoming Cai, Weiwei Cai
2024 J jnl
TL2GH²T: Triple-Path Local-to-Global Network With Hybrid Head Transformer for Hyperspectral Change Detection.
IEEE Trans. Geosci. Remote. Sens.
Zhonghao Chen, Yuyang Wang, Swalpa Kumar Roy, Hongmin Gao, Yao Ding, Xiongwu Xiao, Zhenfeng Shao, Bing Zhang
2024 J jnl
Unlabeled Data Guided Partial Label Learning for Hyperspectral Image Classification.
IEEE Geosci. Remote. Sens. Lett.
Shujun Yang, Yuheng Jia, Yao Ding, Xin Wu, Danfeng Hong
2023 J jnl
A Real-Time Vehicle Speed Prediction Method Based on a Lightweight Informer Driven by Big Temporal Data.
Big Data Cogn. Comput.
Xinyu Tian, Qinghe Zheng, Zhiguo Yu, Mingqiang Yang, Yao Ding, Abdussalam Elhanashi, Sergio Saponara, Kidiyo Kpalma
2023 J jnl
A family of spatio-temporal optimized finite difference schemes with adaptive dispersion and critical-adaptive dissipation for compressible flows.
J. Comput. Phys.
Siye Li, Zhensheng Sun, Bai-Lin Zha, Yujie Zhu, Yao Ding, Yuting Xia
2023 J jnl
Camouflaged Object Detection Based on Ternary Cascade Perception.
Remote. Sens.
Xinhao Jiang, Wei Cai, Yao Ding, Xin Wang, Zhiyong Yang, Xingyu Di, Weijie Gao
2023 J jnl
Camouflaged Object Segmentation Based on Joint Salient Object for Contrastive Learning.
IEEE Trans. Instrum. Meas.
Xinhao Jiang, Wei Cai, Yao Ding, Xin Wang, Danfeng Hong, Zhiyong Yang, Weijie Gao
2023 J jnl
Fully Linear Graph Convolutional Networks for Semi-Supervised and Unsupervised Classification.
ACM Trans. Intell. Syst. Technol.
Yaoming Cai, Zijia Zhang, Pedram Ghamisi, Zhihua Cai, Xiaobo Liu, Yao Ding
2023 J jnl
GTFN: GCN and Transformer Fusion Network With Spatial-Spectral Features for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens.
Aitao Yang, Min Li, Yao Ding, Danfeng Hong, Yilong Lv, Yujie He
2023 J jnl
Graph-Structured Convolution-Guided Continuous Context Threshold-Aware Networks for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens.
Weiwei Cai, Pengjiang Qian, Yao Ding, Meiqiao Bi, Xin Ning, Danfeng Hong, Xiao Bai
2023 J jnl
Local aggregation and global attention network for hyperspectral image classification with spectral-induced aligned superpixel segmentation.
Expert Syst. Appl.
Zhonghao Chen, Guoyong Wu, Hongmin Gao, Yao Ding, Danfeng Hong, Bing Zhang
2023 J jnl
MDMASNet: A dual-task interactive semi-supervised remote sensing image segmentation method.
Signal Process.
Liangji Zhang, Zaichun Yang, Guoxiong Zhou, Chao Lu, Aibin Chen, Yao Ding, Yanfeng Wang, Liujun Li, Weiwei Cai
2023 J jnl
Multi-scale receptive fields: Graph attention neural network for hyperspectral image classification.
Expert Syst. Appl.
Yao Ding, Zhili Zhang, Xiaofeng Zhao, Danfeng Hong, Wei Cai, Nengjun Yang, Bei Wang
2023 J jnl
Multireceptive field: An adaptive path aggregation graph neural framework for hyperspectral image classification.
Expert Syst. Appl.
Zhili Zhang, Yao Ding, Xiaofeng Zhao, Siye Li, Nengjun Yang, Yaoming Cai, Ying Zhan
2023 J jnl
Recursive RX with Extended Multi-Attribute Profiles for Hyperspectral Anomaly Detection.
Remote. Sens.
Fang He, Shuai Yan, Yao Ding, Zhensheng Sun, Jianwei Zhao, Haojie Hu, Yujie Zhu
2023 J jnl
Stereo Attention Cross-Decoupling Fusion-Guided Federated Neural Learning for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens.
Weiwei Cai, Ming Gao, Yao Ding, Xin Ning, Xiao Bai, Pengjiang Qian
2023 J jnl
Superpixelwise Low-Rank Approximation-Based Partial Label Learning for Hyperspectral Image Classification.
IEEE Geosci. Remote. Sens. Lett.
Shujun Yang, Yu Zhang, Yao Ding, Danfeng Hong
2022 J jnl
A Spatio-temporal Optimal, Hybird Compact-WENO Scheme with Minimized Dispersion and Critical-adaptive Dissipation for Solving Compressible Flows.
J. Sci. Comput.
Siye Li, Zhensheng Sun, Yu Hu, Yujie Zhu, Yao Ding
2022 J jnl
AF2GNN: Graph convolution with adaptive filters and aggregator fusion for hyperspectral image classification.
Inf. Sci.
Yao Ding, Zhili Zhang, Xiaofeng Zhao, Danfeng Hong, Wei Li, Wei Cai, Ying Zhan
2022 J jnl
Bi-Kernel Graph Neural Network with Adaptive Propagation Mechanism for Hyperspectral Image Classification.
Remote. Sens.
Haojie Hu, Yao Ding, Fang He, Fenggan Zhang, Jianwei Zhao, Minli Yao
2022 J jnl
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.
Dong Wang, Qinhe Gao, Zhihao Liu, Yao Ding, Tong Huang, Lei Gao
2022 J jnl
Graph Sample and Aggregate-Attention Network for Hyperspectral Image Classification.
IEEE Geosci. Remote. Sens. Lett.
Yao Ding, Xiaofeng Zhao, Zhili Zhang, Wei Cai, Nengjun Yang
2022 J jnl
Hyperspectral Image Classification Based on Graph Transformer Network and Graph Attention Mechanism.
IEEE Geosci. Remote. Sens. Lett.
Xiaofeng Zhao, Jiahui Niu, Chuntong Liu, Yao Ding, Danfeng Hong
2022 J jnl
Multi-feature fusion: Graph neural network and CNN combining for hyperspectral image classification.
Neurocomputing
Yao Ding, Zhili Zhang, Xiaofeng Zhao, Danfeng Hong, Wei Cai, Chengguo Yu, Nengjun Yang, Weiwei Cai
2022 J jnl
Self-Supervised Locality Preserving Low-Pass Graph Convolutional Embedding for Large-Scale Hyperspectral Image Clustering.
IEEE Trans. Geosci. Remote. Sens.
Yao Ding, Zhili Zhang, Xiaofeng Zhao, Yaoming Cai, Siye Li, Biao Deng, Weiwei Cai
2022 J jnl
Semi-Supervised Locality Preserving Dense Graph Neural Network With ARMA Filters and Context-Aware Learning for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens.
Yao Ding, Xiaofeng Zhao, Zhili Zhang, Wei Cai, Nengjun Yang, Ying Zhan
2022 J jnl
Superpixel Contracted Neighborhood Contrastive Subspace Clustering Network for Hyperspectral Images.
IEEE Trans. Geosci. Remote. Sens.
Yaoming Cai, Zijia Zhang, Pedram Ghamisi, Yao Ding, Xiaobo Liu, Zhihua Cai, Richard Gloaguen
2022 J jnl
Unifying Label Propagation and Graph Sparsification for Hyperspectral Image Classification.
IEEE Geosci. Remote. Sens. Lett.
Haojie Hu, Fang He, Fenggan Zhang, Yao Ding, Xin Wu, Jianwei Zhao, Minli Yao
2022 J jnl
Unsupervised Self-Correlated Learning Smoothy Enhanced Locality Preserving Graph Convolution Embedding Clustering for Hyperspectral Images.
IEEE Trans. Geosci. Remote. Sens.
Yao Ding, Zhili Zhang, Xiaofeng Zhao, Wei Cai, Nengjun Yang, Haojie Hu, Xianxiang Huang, Yuan Cao, Weiwei Cai
2021 J jnl
Fully Linear Graph Convolutional Networks for Semi-Supervised Learning and Clustering.
CoRR
Yaoming Cai, Zijia Zhang, Zhihua Cai, Xiaobo Liu, Yao Ding, Pedram Ghamisi
2021 J jnl
Multiscale Graph Sample and Aggregate Network With Context-Aware Learning for Hyperspectral Image Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Yao Ding, Xiaofeng Zhao, Zhili Zhang, Wei Cai, Nengjun Yang