Mengying Jiang

Orcid: 0009-0008-9518-8419

According to our database1, Mengying Jiang authored at least 27 papers between 2017 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2025
DMSN: A Deep Multistream Network for Hyperspectral Image Super-Resolution.
IEEE Geosci. Remote. Sens. Lett., 2025

2024
Effectiveness of spatial measurement model based on SDM-STIRPAT in measuring carbon emissions from transportation facilities.
Energy Inform., December, 2024

Intuitionistic fuzzy broad learning system with a new non-membership function.
Neural Comput. Appl., November, 2024

Relation-aware graph structure embedding with co-contrastive learning for drug-drug interaction prediction.
Neurocomputing, March, 2024

GraphGST: Graph Generative Structure-Aware Transformer for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2024

Self-attention empowered graph convolutional network for structure learning and node embedding.
Pattern Recognit., 2024

Hierarchical Multi-Relational Graph Representation Learning for Large-Scale Prediction of Drug-Drug Interactions.
CoRR, 2024

DisCo-FEND: Social Context Veracity Dissemination Consistency-Guided Case Reasoning for Few-Shot Fake News Detection.
Proceedings of the Web Information Systems Engineering - WISE 2024, 2024

MTSANet: Multi-Head Two-Stream Attention Networks for Unsupervised Hyperspectral Image Super-Resolution.
Proceedings of the IGARSS 2024, 2024

A Green Electricity Certificate Scheme Based on Blockchain.
Proceedings of the 2024 3rd International Conference on Frontiers of Artificial Intelligence and Machine Learning, 2024

2023
NSCKL: Normalized Spectral Clustering With Kernel-Based Learning for Semisupervised Hyperspectral Image Classification.
IEEE Trans. Cybern., October, 2023

ACGT-Net: Adaptive Cuckoo Refinement-Based Graph Transfer Network for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2023

Relation-aware subgraph embedding with co-contrastive learning for drug-drug interaction prediction.
CoRR, 2023

Spectral-Spatial Hyperspectral Unmixing Using Double-Constraints Convolutional Autoencoder.
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.
Proceedings of the Image and Graphics - 12th International Conference, 2023

Using Masked Language Modeling to Enhance BERT-Based Aspect-Based Sentiment Analysis for Affective Token Prediction.
Proceedings of the Artificial Neural Networks and Machine Learning, 2023

2022
Graph-Cut-Based Collaborative Node Embeddings for Hyperspectral Images Classification.
IEEE Geosci. Remote. Sens. Lett., 2022

Graph-Cut-Based Node Embedding for Dimensionality Reduction and Classification of Hyperspectral Remote Sensing Images.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Chaotic Cuckoos Optimization with Graph Convolution Network for Hyperspectral Data Classification.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021
SLGCN: Structure Learning Graph Convolutional Networks for Graphs under Heterophily.
CoRR, 2021

R-GSN: The Relation-based Graph Similar Network for Heterogeneous Graph.
CoRR, 2021

2020
Random Subspace Ensemble With Enhanced Feature for Hyperspectral Image Classification.
IEEE Geosci. Remote. Sens. Lett., 2020

2018
Extreme Learning Machine With Enhanced Composite Feature for Spectral-Spatial Hyperspectral Image Classification.
IEEE Access, 2018

2017
Linear vs. Nonlinear Extreme Learning Machine for Spectral-Spatial Classification of Hyperspectral Images.
Sensors, 2017

Does Normalization Methods Play a Role for Hyperspectral Image Classification?
CoRR, 2017

Linear vs Nonlinear Extreme Learning Machine for Spectral-Spatial Classification of Hyperspectral Image.
CoRR, 2017

Spectral-Spatial Classification of Hyperspectral Image Using Extreme Learning Machine and Loopy Belief Propagation.
Proceedings of the 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2017


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