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Yuanchao Su
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2020 – today
- 2024
- [j14]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) - [j13]Bin Sun, Yuanchao Su, He Sun, Jinying Bai, Pengfei Li, Feng Liu, Dongsheng Liu:
Generative Adversarial Autoencoder Network for Anti-Shadow Hyperspectral Unmixing. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j12]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) - [j11]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) - [j10]Yuanchao Su, Zhiqing Zhu, Lianru Gao, Antonio Plaza, Pengfei Li, Xu Sun, Xiang Xu:
DAAN: A Deep Autoencoder-Based Augmented Network for Blind Multilinear Hyperspectral Unmixing. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [c12]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 - [c11]Sheng Li, Ruoqing Xu, Yuanchao Su, Lianru Gao, Xu Sun, Longfei Ren, Zhiqing Zhu:
DAMS: Dilated Attention with Multi-Stream Learning for Super-Resolution of Hyperspectral Remote Sensing Images. IGARSS 2024: 8995-8998 - [i4]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) - [i3]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
- [j9]Lukui Shi, Qingrui Zhang, Bin Pan, Jun Zhang, Yuanchao Su:
Global-Local and Occlusion Awareness Network for Object Tracking in UAVs. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 8834-8844 (2023) - [j8]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) - [j7]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) - [j6]Xuming Zhang, Yuanchao Su, Lianru Gao, Lorenzo Bruzzone, Xingfa Gu, Qingjiu Tian:
A Lightweight Transformer Network for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 61: 1-17 (2023) - [c10]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 - [c9]Yunzhe Ni, Zhilong Zheng, Xianshang Lin, Fengyu Gao, Xuan Zeng, Yirui Liu, Tao Xu, Hua Wang, Zhidong Zhang, Senlang Du, Guang Yang, Yuanchao Su, Dennis Cai, Hongqiang Harry Liu, Chenren Xu, Ennan Zhai, Yunfei Ma:
CellFusion: Multipath Vehicle-to-Cloud Video Streaming with Network Coding in the Wild. SIGCOMM 2023: 668-683 - [c8]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 - [i2]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
- [j5]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) - [c7]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 - [c6]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
- [j4]Yuanchao Su, Xiang Xu, Jun Li, Hairong Qi, Paolo Gamba, Antonio Plaza:
Deep Autoencoders With Multitask Learning for Bilinear Hyperspectral Unmixing. IEEE Trans. Geosci. Remote. Sens. 59(10): 8615-8629 (2021) - [i1]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) - [c5]Yuancheng Huang, Yuanyuan Xue, Yuanchao Su, Shanshan Han:
Hyperspectral Anomaly Detection Based on Isolation Forest with Band Clustering. IGARSS 2020: 2416-2419
2010 – 2019
- 2019
- [j2]Yuanchao Su, Jun Li, Antonio Plaza, Andrea Marinoni, Paolo Gamba, Somdatta Chakravortty:
DAEN: Deep Autoencoder Networks for Hyperspectral Unmixing. IEEE Trans. Geosci. Remote. Sens. 57(7): 4309-4321 (2019) - [c4]Yuanchao Su, Jun Li, Hairong Qi, Paolo Gamba, Antonio Plaza, Javier Plaza:
Multi-Task Learning with Low-Rank Matrix Factorization for Hyperspectral Nonlinear Unmixing. IGARSS 2019: 2127-2130 - 2018
- [j1]Yuanchao Su, Andrea Marinoni, Jun Li, Javier Plaza, Paolo Gamba:
Stacked Nonnegative Sparse Autoencoders for Robust Hyperspectral Unmixing. IEEE Geosci. Remote. Sens. Lett. 15(9): 1427-1431 (2018) - [c3]Yuanchao Su, Jun Li, Antonio Plaza, Andrea Marinoni, Paolo Gamba, Yuancheng Huang:
Deep Auto-Encoder Network for Hyperspectral Image Unmixing. IGARSS 2018: 6400-6403 - 2017
- [c2]Yuanchao Su, Andrea Marinoni, Jun Li, Antonio Plaza, Paolo Gamba:
Nonnegative sparse autoencoder for robust endmember extraction from remotely sensed hyperspectral images. IGARSS 2017: 205-208 - 2016
- [c1]Yuanchao Su, Xu Sun, Lianru Gao, Jun Li, Bing Zhang:
Improved discrete swarm intelligence algorithms for endmember extraction in hyperspectral remote sensing image. WHISPERS 2016: 1-4
Coauthor Index
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last updated on 2024-10-07 21:22 CEST by the dblp team
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