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Mengying Jiang
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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
Relation-aware graph structure embedding with co-contrastive learning for drug-drug interaction prediction. Neurocomputing 572: 127203 (2024) - [j9]Mengying Jiang, Huisheng Zhang
Intuitionistic fuzzy broad learning system with a new non-membership function. Neural Comput. Appl. 36(33): 20699-20710 (2024) - [j8]Mengying Jiang
Self-attention empowered graph convolutional network for structure learning and node embedding. Pattern Recognit. 153: 110537 (2024) - [j7]Mengying Jiang
GraphGST: Graph Generative Structure-Aware Transformer for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - [c9]Yang Li
A Green Electricity Certificate Scheme Based on Blockchain. FAIML 2024: 361-364 - [c8]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 - [c7]Weiqiang Jin, Ningwei Wang, Tao Tao, Mengying Jiang, Xiaotian Wang, Biao Zhao, Hao Wu, Haibin Duan, Guang Yang:
DisCo-FEND: Social Context Veracity Dissemination Consistency-Guided Case Reasoning for Few-Shot Fake News Detection. WISE (5) 2024: 305-319 - [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
NSCKL: Normalized Spectral Clustering With Kernel-Based Learning for Semisupervised Hyperspectral Image Classification. IEEE Trans. Cybern. 53(10): 6649-6662 (2023) - [j5]Yuanchao Su
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
Using Masked Language Modeling to Enhance BERT-Based Aspect-Based Sentiment Analysis for Affective Token Prediction. ICANN (10) 2023: 530-542 - [c5]Xin Lin
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
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
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
Extreme Learning Machine With Enhanced Composite Feature for Spectral-Spatial Hyperspectral Image Classification. IEEE Access 6: 22645-22654 (2018) - 2017
- [j1]Faxian Cao
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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