Yuanchao Su
Orcid: 0000-0002-4776-0862
According to our database1,
Yuanchao Su
authored at least 29 papers
between 2016 and 2024.
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Bibliography
2024
Relation-aware graph structure embedding with co-contrastive learning for drug-drug interaction prediction.
Neurocomputing, March, 2024
DAAN: A Deep Autoencoder-Based Augmented Network for Blind Multilinear Hyperspectral Unmixing.
IEEE Trans. Geosci. Remote. Sens., 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
IEEE Geosci. Remote. Sens. Lett., 2024
Hierarchical Multi-Relational Graph Representation Learning for Large-Scale Prediction of Drug-Drug Interactions.
CoRR, 2024
MTSANet: Multi-Head Two-Stream Attention Networks for Unsupervised Hyperspectral Image Super-Resolution.
Proceedings of the IGARSS 2024, 2024
DAMS: Dilated Attention with Multi-Stream Learning for Super-Resolution of Hyperspectral Remote Sensing Images.
Proceedings of the IGARSS 2024, 2024
2023
NSCKL: Normalized Spectral Clustering With Kernel-Based Learning for Semisupervised Hyperspectral Image Classification.
IEEE Trans. Cybern., October, 2023
IEEE Trans. Geosci. Remote. Sens., 2023
ACGT-Net: Adaptive Cuckoo Refinement-Based Graph Transfer Network for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2023
IEEE J. Sel. Top. Appl. Earth Obs. 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
CellFusion: Multipath Vehicle-to-Cloud Video Streaming with Network Coding in the Wild.
Proceedings of the ACM SIGCOMM 2023 Conference, 2023
Coupled Dense Convolutional Neural Networks with Autoencoder for Unsupervised Hyperspectral Super-Resolution.
Proceedings of the Image and Graphics - 12th International Conference, 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
IEEE Trans. Geosci. Remote. Sens., 2021
CoRR, 2021
2020
Random Subspace Ensemble With Enhanced Feature for Hyperspectral Image Classification.
IEEE Geosci. Remote. Sens. Lett., 2020
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
2019
IEEE Trans. Geosci. Remote. Sens., 2019
Multi-Task Learning with Low-Rank Matrix Factorization for Hyperspectral Nonlinear Unmixing.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
2018
IEEE Geosci. Remote. Sens. Lett., 2018
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
2017
Nonnegative sparse autoencoder for robust endmember extraction from remotely sensed hyperspectral images.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017
2016
Improved discrete swarm intelligence algorithms for endmember extraction in hyperspectral remote sensing image.
Proceedings of the 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2016