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2020 – today
- 2024
[j11]Guozhi Li, Yidan Yuan, Xunuo Chen, Dandan Fu, Mengying Jiang:
Effectiveness of spatial measurement model based on SDM-STIRPAT in measuring carbon emissions from transportation facilities. Energy Inform. 7(1): 48 (2024)- [j10]Mengying Jiang, Guizhong Liu, Biao Zhao
, Yuanchao Su, Weiqiang Jin:
Relation-aware graph structure embedding with co-contrastive learning for drug-drug interaction prediction. Neurocomputing 572: 127203 (2024) - [j9]Mengying Jiang, Huisheng Zhang, Yuxuan Liu:
Intuitionistic fuzzy broad learning system with a new non-membership function. Neural Comput. Appl. 36(33): 20699-20710 (2024) - [j8]Mengying Jiang, Guizhong Liu, Yuanchao Su, Xinliang Wu:
Self-attention empowered graph convolutional network for structure learning and node embedding. Pattern Recognit. 153: 110537 (2024) - [j7]Mengying Jiang, Yuanchao Su, Lianru Gao, Antonio Plaza, Xi-Le Zhao, Xu Sun, Guizhong Liu:
GraphGST: Graph Generative Structure-Aware Transformer for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - [c8]Yang Li, Mengying Jiang, Mei Yu, Shouzhi Xu, Shurui Peng, Lingchu Zhao, Xiaotong Peng:
A Green Electricity Certificate Scheme Based on Blockchain. FAIML 2024: 361-364 - [c7]Jin Xu, Yuanchao Su, Lianru Gao, Xu Sun, Longfei Ren, Zhiqing Zhu, Mengying Jiang:
MTSANet: Multi-Head Two-Stream Attention Networks for Unsupervised Hyperspectral Image Super-Resolution. IGARSS 2024: 7738-7741 - [i7]Mengying Jiang, Guizhong Liu, Yuanchao Su, Weiqiang Jin, Biao Zhao:
Hierarchical Multi-Relational Graph Representation Learning for Large-Scale Prediction of Drug-Drug Interactions. CoRR abs/2402.18127 (2024) - [i6]Mengying Jiang, Guizhong Liu, Yuanchao Su, Xinliang Wu:
Self-Attention Empowered Graph Convolutional Network for Structure Learning and Node Embedding. CoRR abs/2403.03465 (2024) - 2023
- [j6]Yuanchao Su, Lianru Gao, Mengying Jiang, Antonio Plaza, Xu Sun, Bing Zhang:
NSCKL: Normalized Spectral Clustering With Kernel-Based Learning for Semisupervised Hyperspectral Image Classification. IEEE Trans. Cybern. 53(10): 6649-6662 (2023) - [j5]Yuanchao Su, Jiangyi Chen, Lianru Gao, Antonio Plaza, Mengying Jiang, Xiang Xu, Xu Sun, Pengfei Li:
ACGT-Net: Adaptive Cuckoo Refinement-Based Graph Transfer Network for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - [c6]Weiqiang Jin, Biao Zhao, Chenxing Liu, Heng Zhang, Mengying Jiang:
Using Masked Language Modeling to Enhance BERT-Based Aspect-Based Sentiment Analysis for Affective Token Prediction. ICANN (10) 2023: 530-542 - [c5]Xin Lin, Yuanchao Su, Sheng Li, Mengying Jiang, Bin Pan, Pengfei Li, Jinying Bai, Feng Liu:
Coupled Dense Convolutional Neural Networks with Autoencoder for Unsupervised Hyperspectral Super-Resolution. ICIG (5) 2023: 155-165 - [c4]Zhiqing Zhu, Yuanchao Su, Mengying Jiang, Bin Pan, Jinying Bai, Pengfei Li:
Spectral-Spatial Hyperspectral Unmixing Using Double-Constraints Convolutional Autoencoder. WHISPERS 2023: 1-4 - [i5]Mengying Jiang, Guizhong Liu, Biao Zhao, Yuanchao Su, Weiqiang Jin:
Relation-aware subgraph embedding with co-contrastive learning for drug-drug interaction prediction. CoRR abs/2307.01507 (2023) - 2022
- [j4]Yuanchao Su, Mengying Jiang, Lianru Gao, Xu Sun, Xueer You, Pengfei Li:
Graph-Cut-Based Collaborative Node Embeddings for Hyperspectral Images Classification. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [c3]Yuanchao Su, Mengying Jiang, Lianru Gao, Xueer You, Xu Sun, Pengfei Li:
Graph-Cut-Based Node Embedding for Dimensionality Reduction and Classification of Hyperspectral Remote Sensing Images. IGARSS 2022: 1720-1723 - [c2]Jiangyi Chen, Yuanchao Su, Mengying Jiang, Chaoli Zhao, Bin Sun, Pengfei Li:
Chaotic Cuckoos Optimization with Graph Convolution Network for Hyperspectral Data Classification. IGARSS 2022: 1724-1727 - 2021
- [i4]Xinliang Wu, Mengying Jiang, Guizhong Liu:
R-GSN: The Relation-based Graph Similar Network for Heterogeneous Graph. CoRR abs/2103.07877 (2021) - [i3]Mengying Jiang, Guizhong Liu, Yuanchao Su, Xinliang Wu:
SLGCN: Structure Learning Graph Convolutional Networks for Graphs under Heterophily. CoRR abs/2105.13795 (2021) - 2020
- [j3]Mengying Jiang, Yi Fang, Yuanchao Su, Guofa Cai, Guojun Han:
Random Subspace Ensemble With Enhanced Feature for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 17(8): 1373-1377 (2020)
2010 – 2019
- 2018
- [j2]Mengying Jiang, Faxian Cao, Yunmeng Lu:
Extreme Learning Machine With Enhanced Composite Feature for Spectral-Spatial Hyperspectral Image Classification. IEEE Access 6: 22645-22654 (2018) - 2017
- [j1]Faxian Cao, Zhijing Yang, Jinchang Ren, Mengying Jiang, Wing-Kuen Ling:
Linear vs. Nonlinear Extreme Learning Machine for Spectral-Spatial Classification of Hyperspectral Images. Sensors 17(11): 2603 (2017) - [c1]Faxian Cao, Zhijing Yang, Mengying Jiang, Weizhao Chen, Qiuliang Ye, Wing-Kuen Ling:
Spectral-Spatial Classification of Hyperspectral Image Using Extreme Learning Machine and Loopy Belief Propagation. iThings/GreenCom/CPSCom/SmartData 2017: 1061-1064 - [i2]Faxian Cao, Zhijing Yang, Jinchang Ren, Mengying Jiang, Wing-Kuen Ling:
Linear vs Nonlinear Extreme Learning Machine for Spectral-Spatial Classification of Hyperspectral Image. CoRR abs/1709.02253 (2017) - [i1]Faxian Cao, Zhijing Yang, Jinchang Ren, Mengying Jiang, Wing-Kuen Ling:
Does Normalization Methods Play a Role for Hyperspectral Image Classification? CoRR abs/1710.02939 (2017)
Coauthor Index
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last updated on 2024-10-23 21:26 CEST by the dblp team
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