Yuanchao Su

According to our database, Yuanchao Su authored at least 26 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Relation-aware graph structure embedding with co-contrastive learning for drug-drug interaction prediction.

Mengying Jiang, Guizhong Liu, Biao Zhao, Yuanchao Su, Weiqiang Jin

Neurocomputing, March, 2024

DAAN: A Deep Autoencoder-Based Augmented Network for Blind Multilinear Hyperspectral Unmixing.

Yuanchao Su, Zhiqing Zhu, Lianru Gao, Antonio Plaza, Pengfei Li, Xu Sun, Xiang Xu

IEEE Trans. Geosci. Remote. Sens., 2024

GraphGST: Graph Generative Structure-Aware Transformer for Hyperspectral Image Classification.

Mengying Jiang, Yuanchao Su, Lianru Gao, Antonio Plaza, Xi-Le Zhao, Xu Sun, Guizhong Liu

IEEE Trans. Geosci. Remote. Sens., 2024

Self-Attention Empowered Graph Convolutional Network for Structure Learning and Node Embedding.

Mengying Jiang, Guizhong Liu, Yuanchao Su, Xinliang Wu

CoRR, 2024

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

Mengying Jiang, Guizhong Liu, Yuanchao Su, Weiqiang Jin, Biao Zhao

CoRR, 2024

2023

NSCKL: Normalized Spectral Clustering With Kernel-Based Learning for Semisupervised Hyperspectral Image Classification.

Yuanchao Su, Lianru Gao, Mengying Jiang, Antonio Plaza, Xu Sun, Bing Zhang

IEEE Trans. Cybern., October, 2023

A Lightweight Transformer Network for Hyperspectral Image Classification.

Xuming Zhang, Yuanchao Su, Lianru Gao, Lorenzo Bruzzone, Xingfa Gu, Qingjiu Tian

IEEE Trans. Geosci. Remote. Sens., 2023

ACGT-Net: Adaptive Cuckoo Refinement-Based Graph Transfer Network for Hyperspectral Image Classification.

Yuanchao Su, Jiangyi Chen, Lianru Gao, Antonio Plaza, Mengying Jiang, Xiang Xu, Xu Sun, Pengfei Li

IEEE Trans. Geosci. Remote. Sens., 2023

Global-Local and Occlusion Awareness Network for Object Tracking in UAVs.

Lukui Shi, Qingrui Zhang, Bin Pan, Jun Zhang, Yuanchao Su

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

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

Mengying Jiang, Guizhong Liu, Biao Zhao, Yuanchao Su, Weiqiang Jin

CoRR, 2023

Spectral-Spatial Hyperspectral Unmixing Using Double-Constraints Convolutional Autoencoder.

Zhiqing Zhu, Yuanchao Su, Mengying Jiang, Bin Pan, Jinying Bai, Pengfei Li

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.

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

Proceedings of the ACM SIGCOMM 2023 Conference, 2023

Coupled Dense Convolutional Neural Networks with Autoencoder for Unsupervised Hyperspectral Super-Resolution.

Xin Lin, Yuanchao Su, Sheng Li, Mengying Jiang, Bin Pan, Pengfei Li, Jinying Bai, Feng Liu

Proceedings of the Image and Graphics - 12th International Conference, 2023

2022

Graph-Cut-Based Collaborative Node Embeddings for Hyperspectral Images Classification.

Yuanchao Su, Mengying Jiang, Lianru Gao, Xu Sun, Xueer You, Pengfei Li

IEEE Geosci. Remote. Sens. Lett., 2022

Graph-Cut-Based Node Embedding for Dimensionality Reduction and Classification of Hyperspectral Remote Sensing Images.

Yuanchao Su, Mengying Jiang, Lianru Gao, Xueer You, Xu Sun, Pengfei Li

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Chaotic Cuckoos Optimization with Graph Convolution Network for Hyperspectral Data Classification.

Jiangyi Chen, Yuanchao Su, Mengying Jiang, Chaoli Zhao, Bin Sun, Pengfei Li

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021

Deep Autoencoders With Multitask Learning for Bilinear Hyperspectral Unmixing.

Yuanchao Su, Xiang Xu, Jun Li, Hairong Qi, Paolo Gamba, Antonio Plaza

IEEE Trans. Geosci. Remote. Sens., 2021

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

Mengying Jiang, Guizhong Liu, Yuanchao Su, Xinliang Wu

CoRR, 2021

2020

Random Subspace Ensemble With Enhanced Feature for Hyperspectral Image Classification.

Mengying Jiang, Yi Fang, Yuanchao Su, Guofa Cai, Guojun Han

IEEE Geosci. Remote. Sens. Lett., 2020

Hyperspectral Anomaly Detection Based on Isolation Forest with Band Clustering.

Yuancheng Huang, Yuanyuan Xue, Yuanchao Su, Shanshan Han

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019

DAEN: Deep Autoencoder Networks for Hyperspectral Unmixing.

Yuanchao Su, Jun Li, Antonio Plaza, Andrea Marinoni, Paolo Gamba, Somdatta Chakravortty

IEEE Trans. Geosci. Remote. Sens., 2019

Multi-Task Learning with Low-Rank Matrix Factorization for Hyperspectral Nonlinear Unmixing.

Yuanchao Su, Jun Li, Hairong Qi, Paolo Gamba, Antonio Plaza, Javier Plaza

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018

Stacked Nonnegative Sparse Autoencoders for Robust Hyperspectral Unmixing.

Yuanchao Su, Andrea Marinoni, Jun Li, Javier Plaza, Paolo Gamba

IEEE Geosci. Remote. Sens. Lett., 2018

Deep Auto-Encoder Network for Hyperspectral Image Unmixing.

Yuanchao Su, Jun Li, Antonio Plaza, Andrea Marinoni, Paolo Gamba, Yuancheng Huang

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.

Yuanchao Su, Andrea Marinoni, Jun Li, Antonio Plaza, Paolo Gamba

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.

Yuanchao Su, Xu Sun, Lianru Gao, Jun Li, Bing Zhang

Proceedings of the 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2016