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ORCIDYao Ding 0010
Person information
- affiliation: Xi'an Research Institute of High Technology, China
Other persons with the same name
- Yao Ding 0001
![[0000-0001-7387-7645]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-7387-7645")
— University of Maryland, College Park, MD, USA (and 1 more) - Yao Ding 0002 — Zhejiang University, Hangzhou, China
- Yao Ding 0003 — Xiamen University, Xiamen, China
- Yao Ding 0004 — Tianjin University, China
- Yao Ding 0005 — Northwest Normal University, Lanzhou, China
- Yao Ding 0006 — University of Chinese Academy of Sciences, Beijing, China
- Yao Ding 0007 — University of Texas, M. D. Anderson Cancer Center, TX, USA
- Yao Ding 0008 — Chinese Academy of Sciences, Hefei, China (and 1 more)
- Yao Ding 0009 — Nanjing Tech University, College of Electrical Engineering and Control Science, China
- Yao Ding 0011 — Xuzhou University of Technology, School of Electrical and Control Engineering, China
- Yao Ding 0012 — Tianjin University of Technology, School of Electrical Engineering and Automation, China
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Journal Articles
- 2024
[j30]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: 102353 (2024)- [j29]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: 123008 (2024) - [j28]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: 1-5 (2024) - 2023
- [j27]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): 131 (2023) - [j26]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: 119508 (2023) - [j25]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: 119858 (2023) - [j24]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: 120828 (2023) - [j23]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: 111821 (2023) - [j22]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: 1-5 (2023) - [j21]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): 589 (2023) - [j20]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): 1188 (2023) - [j19]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: 109152 (2023) - [j18]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: 1-16 (2023) - [j17]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: 1-18 (2023) - [j16]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: 1-15 (2023) - [j15]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: 1-16 (2023) - [j14]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): 40:1-40:23 (2023) - 2022
- [j13]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: 246-257 (2022) - [j12]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: 201-219 (2022) - [j11]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): 29 (2022) - [j10]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: 1-5 (2022) - [j9]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: 1-5 (2022) - [j8]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: 1-5 (2022) - [j7]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): 6224 (2022) - [j6]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: 6133-6143 (2022) - [j5]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: 1-13 (2022) - [j4]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: 1-16 (2022) - [j3]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: 1-16 (2022) - [j2]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: 1-12 (2022) - 2021
- [j1]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: 4561-4572 (2021)
Informal and Other Publications
- 2024
- [i2]Shujun Yang, Yu Zhang, Yao Ding, Danfeng Hong:
Superpixelwise Low-rank Approximation based Partial Label Learning for Hyperspectral Image Classification. CoRR abs/2405.17110 (2024) - 2021
- [i1]Yaoming Cai, Zijia Zhang, Zhihua Cai, Xiaobo Liu, Yao Ding, Pedram Ghamisi:
Fully Linear Graph Convolutional Networks for Semi-Supervised Learning and Clustering. CoRR abs/2111.07942 (2021)
Coauthor Index
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