Improved discrete swarm intelligence algorithms for endmember extraction in hyperspectral remote sensing image. - Yuanchao Su; Xu Sun 005; Lianru Gao; Jun Li 009; Bing Zhang 001 (WHISPERS, 2016)

Nonnegative sparse autoencoder for robust endmember extraction from remotely sensed hyperspectral images. - Yuanchao Su; Andrea Marinoni; Jun Li 009; Antonio Plaza; Paolo Gamba (IGARSS, 2017)

Deep Auto-Encoder Network for Hyperspectral Image Unmixing. - Yuanchao Su; Jun Li 009; Antonio Plaza; Andrea Marinoni; Paolo Gamba; Yuancheng Huang (IGARSS, 2018)

Stacked Nonnegative Sparse Autoencoders for Robust Hyperspectral Unmixing. - Yuanchao Su; Andrea Marinoni; Jun Li 009; Javier Plaza; Paolo Gamba (IEEE Geosci. Remote. Sens. Lett., 2018)

Multi-Task Learning with Low-Rank Matrix Factorization for Hyperspectral Nonlinear Unmixing. - Yuanchao Su; Jun Li 009; Hairong Qi 001; Paolo Gamba; Antonio Plaza; Javier Plaza (IGARSS, 2019)

DAEN: Deep Autoencoder Networks for Hyperspectral Unmixing. - Yuanchao Su; Jun Li 009; Antonio Plaza; Andrea Marinoni; Paolo Gamba; Somdatta Chakravortty (IEEE Trans. Geosci. Remote. Sens., 2019)

Hyperspectral Anomaly Detection Based on Isolation Forest with Band Clustering. - Yuancheng Huang; Yuanyuan Xue; Yuanchao Su; Shanshan Han (IGARSS, 2020)

Random Subspace Ensemble With Enhanced Feature for Hyperspectral Image Classification. - Mengying Jiang; Yi Fang 005; Yuanchao Su; Guofa Cai; Guojun Han (IEEE Geosci. Remote. Sens. Lett., 2020)

SLGCN: Structure Learning Graph Convolutional Networks for Graphs under Heterophily. - Mengying Jiang; Guizhong Liu; Yuanchao Su; Xinliang Wu (CoRR, 2021)

Deep Autoencoders With Multitask Learning for Bilinear Hyperspectral Unmixing. - Yuanchao Su; Xiang Xu 002; Jun Li 009; Hairong Qi 001; Paolo Gamba; Antonio Plaza (IEEE Trans. Geosci. Remote. Sens., 2021)

Chaotic Cuckoos Optimization with Graph Convolution Network for Hyperspectral Data Classification. - Jiangyi Chen; Yuanchao Su; Mengying Jiang; Chaoli Zhao; Bin Sun; Pengfei Li 010 (IGARSS, 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 005; Pengfei Li 010 (IGARSS, 2022)

Graph-Cut-Based Collaborative Node Embeddings for Hyperspectral Images Classification. - Yuanchao Su; Mengying Jiang; Lianru Gao; Xu Sun 005; Xueer You; Pengfei Li 010 (IEEE Geosci. Remote. Sens. Lett., 2022)

Coupled Dense Convolutional Neural Networks with Autoencoder for Unsupervised Hyperspectral Super-Resolution. - Xin Lin; Yuanchao Su; Sheng Li; Mengying Jiang; Bin Pan; Pengfei Li 010; Jinying Bai; Feng Liu (ICIG (5), 2023)

CellFusion: Multipath Vehicle-to-Cloud Video Streaming with Network Coding in the Wild. - Yunzhe Ni; Zhilong Zheng; Xianshang Lin; Fengyu Gao; Xuan Zeng 002; Yirui Liu; Tao Xu; Hua Wang; Zhidong Zhang; Senlang Du; Guang Yang; Yuanchao Su; et al. (SIGCOMM, 2023)

Spectral-Spatial Hyperspectral Unmixing Using Double-Constraints Convolutional Autoencoder. - Zhiqing Zhu; Yuanchao Su; Mengying Jiang; Bin Pan; Jinying Bai; Pengfei Li 010 (WHISPERS, 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)

Global-Local and Occlusion Awareness Network for Object Tracking in UAVs. - Lukui Shi; Qingrui Zhang; Bin Pan; Jun Zhang 050; Yuanchao Su (IEEE J. Sel. Top. Appl. Earth Obs. 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 002; Xu Sun 005; Pengfei Li 010 (IEEE Trans. Geosci. Remote. Sens., 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)

NSCKL: Normalized Spectral Clustering With Kernel-Based Learning for Semisupervised Hyperspectral Image Classification. - Yuanchao Su; Lianru Gao; Mengying Jiang; Antonio Plaza; Xu Sun 005; Bing Zhang 001 (IEEE Trans. Cybern., 2023)

DAMS: Dilated Attention with Multi-Stream Learning for Super-Resolution of Hyperspectral Remote Sensing Images. - Sheng Li; Ruoqing Xu; Yuanchao Su; Lianru Gao; Xu Sun 005; Longfei Ren; Zhiqing Zhu (IGARSS, 2024)

MTSANet: Multi-Head Two-Stream Attention Networks for Unsupervised Hyperspectral Image Super-Resolution. - Jin Xu; Yuanchao Su; Lianru Gao; Xu Sun 005; Longfei Ren; Zhiqing Zhu; Mengying Jiang (IGARSS, 2024)

Generative Adversarial Autoencoder Network for Anti-Shadow Hyperspectral Unmixing. - Bin Sun; Yuanchao Su; He Sun 009; Jinying Bai; Pengfei Li 010; Feng Liu; Dongsheng Liu (IEEE Geosci. Remote. Sens. Lett., 2024)

Self-attention empowered graph convolutional network for structure learning and node embedding. - Mengying Jiang; Guizhong Liu; Yuanchao Su; Xinliang Wu (Pattern Recognit., 2024)

GraphGST: Graph Generative Structure-Aware Transformer for Hyperspectral Image Classification. - Mengying Jiang; Yuanchao Su; Lianru Gao; Antonio Plaza; Xi-Le Zhao; Xu Sun 005; Guizhong Liu (IEEE Trans. Geosci. Remote. Sens., 2024)

DAAN: A Deep Autoencoder-Based Augmented Network for Blind Multilinear Hyperspectral Unmixing. - Yuanchao Su; Zhiqing Zhu; Lianru Gao; Antonio Plaza; Pengfei Li 010; Xu Sun 005; Xiang Xu 002 (IEEE Trans. Geosci. Remote. Sens., 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, 2024)

Transceiver Penalty and Amplifier Noise Figure Characterization for Accurate QoT Estimation in Hyperscale Disaggregated DCI Networks. - Yan He; Zhiqun Zhai; Sai Chen; Huan Zhang; Chuang Xu; Liang Dou; Yuanchao Su; Chao Lu 001; Alan Pak Tao Lau (OFC, 2025)

Improving QoT Estimation Accuracy in Production Networks: A Data-Driven Approach to Address OLS Imperfections. - Zhiqun Zhai; Liang Dou; Sai Chen; Huan Zhang; Yan He; Alan Pak Tao Lau; Yuanchao Su (OFC, 2025)

A robust low-pass filtering graph diffusion clustering framework for hyperspectral images. - Aitao Yang; Min Li 030; Yao Ding 010; Yaoming Cai; Jie Feng; Yujie He; Yuanchao Su (Knowl. Based Syst., 2025)

DMSN: A Deep Multistream Network for Hyperspectral Image Super-Resolution. - Sheng Li; Yuanchao Su; Xu Sun 005; Jiaxin Li; Boyan Li; Jianjian Gao; Xiaohua Feng; Mengying Jiang (IEEE Geosci. Remote. Sens. Lett., 2025)

FusGAT: Graph Attention-Based Fusion Network for Unsupervised Hyperspectral Image Super-Resolution. - Jin Xu; Yuanchao Su; Xu Sun 005; Jiaxin Li; Haiwei Li; Jianjian Gao; Xiaohua Feng; Ronghua Liu (IEEE Geosci. Remote. Sens. Lett., 2025)

Hierarchical Multi-Relational Graph Representation Learning for Large-Scale Prediction of Drug-Drug Interactions. - Mengying Jiang; Guizhong Liu; Yuanchao Su; Weiqiang Jin; Biao Zhao (IEEE Trans. Big Data, 2025)