Mengying Jiang

According to our database, Mengying Jiang authored at least 20 papers between 2017 and 2024.

Collaborative distances:

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

2024

Relation-aware graph structure embedding with co-contrastive learning for drug-drug interaction prediction.

Mengying Jiang, Guizhong Liu, Biao Zhao, Yuanchao Su, Weiqiang Jin

Neurocomputing, March, 2024

GraphGST: Graph Generative Structure-Aware Transformer for Hyperspectral Image Classification.

Mengying Jiang, Yuanchao Su, Lianru Gao, Antonio Plaza, Xi-Le Zhao, Xu Sun, Guizhong Liu

IEEE Trans. Geosci. Remote. Sens., 2024

Self-Attention Empowered Graph Convolutional Network for Structure Learning and Node Embedding.

Mengying Jiang, Guizhong Liu, Yuanchao Su, Xinliang Wu

CoRR, 2024

Hierarchical Multi-Relational Graph Representation Learning for Large-Scale Prediction of Drug-Drug Interactions.

Mengying Jiang, Guizhong Liu, Yuanchao Su, Weiqiang Jin, Biao Zhao

CoRR, 2024

2023

NSCKL: Normalized Spectral Clustering With Kernel-Based Learning for Semisupervised Hyperspectral Image Classification.

Yuanchao Su, Lianru Gao, Mengying Jiang, Antonio Plaza, Xu Sun, Bing Zhang

IEEE Trans. Cybern., October, 2023

ACGT-Net: Adaptive Cuckoo Refinement-Based Graph Transfer Network for Hyperspectral Image Classification.

Yuanchao Su, Jiangyi Chen, Lianru Gao, Antonio Plaza, Mengying Jiang, Xiang Xu, Xu Sun, Pengfei Li

IEEE Trans. Geosci. Remote. Sens., 2023

Relation-aware subgraph embedding with co-contrastive learning for drug-drug interaction prediction.

Mengying Jiang, Guizhong Liu, Biao Zhao, Yuanchao Su, Weiqiang Jin

CoRR, 2023

Spectral-Spatial Hyperspectral Unmixing Using Double-Constraints Convolutional Autoencoder.

Zhiqing Zhu, Yuanchao Su, Mengying Jiang, Bin Pan, Jinying Bai, Pengfei Li

Proceedings of the 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2023

Coupled Dense Convolutional Neural Networks with Autoencoder for Unsupervised Hyperspectral Super-Resolution.

Xin Lin, Yuanchao Su, Sheng Li, Mengying Jiang, Bin Pan, Pengfei Li, Jinying Bai, Feng Liu

Proceedings of the Image and Graphics - 12th International Conference, 2023

2022

Graph-Cut-Based Collaborative Node Embeddings for Hyperspectral Images Classification.

Yuanchao Su, Mengying Jiang, Lianru Gao, Xu Sun, Xueer You, Pengfei Li

IEEE Geosci. Remote. Sens. Lett., 2022

Graph-Cut-Based Node Embedding for Dimensionality Reduction and Classification of Hyperspectral Remote Sensing Images.

Yuanchao Su, Mengying Jiang, Lianru Gao, Xueer You, Xu Sun, Pengfei Li

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Chaotic Cuckoos Optimization with Graph Convolution Network for Hyperspectral Data Classification.

Jiangyi Chen, Yuanchao Su, Mengying Jiang, Chaoli Zhao, Bin Sun, Pengfei Li

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021

SLGCN: Structure Learning Graph Convolutional Networks for Graphs under Heterophily.

Mengying Jiang, Guizhong Liu, Yuanchao Su, Xinliang Wu

CoRR, 2021

R-GSN: The Relation-based Graph Similar Network for Heterogeneous Graph.

Xinliang Wu, Mengying Jiang, Guizhong Liu

CoRR, 2021

2020

Random Subspace Ensemble With Enhanced Feature for Hyperspectral Image Classification.

Mengying Jiang, Yi Fang, Yuanchao Su, Guofa Cai, Guojun Han

IEEE Geosci. Remote. Sens. Lett., 2020

2018

Extreme Learning Machine With Enhanced Composite Feature for Spectral-Spatial Hyperspectral Image Classification.

Mengying Jiang, Faxian Cao, Yunmeng Lu

IEEE Access, 2018

2017

Linear vs. Nonlinear Extreme Learning Machine for Spectral-Spatial Classification of Hyperspectral Images.

Faxian Cao, Zhijing Yang, Jinchang Ren, Mengying Jiang, Wing-Kuen Ling

Sensors, 2017

Does Normalization Methods Play a Role for Hyperspectral Image Classification?

Faxian Cao, Zhijing Yang, Jinchang Ren, Mengying Jiang, Wing-Kuen Ling

CoRR, 2017

Linear vs Nonlinear Extreme Learning Machine for Spectral-Spatial Classification of Hyperspectral Image.

Faxian Cao, Zhijing Yang, Jinchang Ren, Mengying Jiang, Wing-Kuen Ling

CoRR, 2017

Spectral-Spatial Classification of Hyperspectral Image Using Extreme Learning Machine and Loopy Belief Propagation.

Faxian Cao, Zhijing Yang, Mengying Jiang, Weizhao Chen, Qiuliang Ye, Wing-Kuen Ling

Proceedings of the 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2017