Dimensionality Reduction of Hyperspectral Images Based on Robust Spatial Information Using Locally Linear Embedding. - Yu Fang; Hao Li 034; Yong Ma 001; Kun Liang 003; Yingjie Hu; Shaojie Zhang; Hongyuan Wang (IEEE Geosci. Remote. Sens. Lett., 2014)

Hyperspectral Image Classification with Spatial Filtering and l(2, 1) Norm. - Hao Li 034; Chang Li 001; Cong Zhang; Zhe Liu 019; Chengyin Liu (Sensors, 2017)

Hyperspectral Image Classification With Discriminative Kernel Collaborative Representation and Tikhonov Regularization. - Yong Ma 001; Chang Li 001; Hao Li 034; Xiaoguang Mei; Jiayi Ma 001 (IEEE Geosci. Remote. Sens. Lett., 2018)

Gaussian Mixture Model for Hyperspectral Unmixing with Low-Rank Representation. - Qiwen Jin; Yong Ma 001; Xiaoguang Mei; Xiaobing Dai; Hao Li 034; Fan Fan 001; Jun Huang 008 (IGARSS, 2019)

Regularized Fuzzy Discriminant Analysis for Hyperspectral Image Classification With Noisy Labels. - Shan Zeng; Xiangjun Duan; Hao Li 034; Zuyin Xiao; Zhiyong Wang 001; David Feng 003 (IEEE Access, 2019)

Hyperspectral Unmixing with Gaussian Mixture Model and Spatial Group Sparsity. - Qiwen Jin; Yong Ma 001; Erting Pan; Fan Fan 001; Jun Huang 008; Hao Li 034; Chenhong Sui; Xiaoguang Mei (Remote. Sens., 2019)

Hyperspectral Unmixing with Gaussian Mixture Model and Low-Rank Representation. - Yong Ma 001; Qiwen Jin; Xiaoguang Mei; Xiaobing Dai; Fan Fan 001; Hao Li 034; Jun Huang 008 (Remote. Sens., 2019)

Paddy variety identification using hyperspectral imagery under non-ideal illumination conditions. - Weihua Liu; Shan Zeng; Hao Li 034; Zuyin Xiao; Xin Huang; Haohui Jiang (Int. J. Wavelets Multiresolution Inf. Process., 2020)

UTDN: An Unsupervised Two-Stream Dirichlet-Net for Hyperspectral Unmixing. - Qiwen Jin; Yong Ma 001; Xiaoguang Mei; Hao Li 034; Jiayi Ma 001 (ICASSP, 2021)

Pairwise Elastic Net Representation-Based Classification for Hyperspectral Image Classification. - Hao Li 034; Yuanshu Zhang; Yong Ma 001; Xiaoguang Mei; Shan Zeng; Yaqin Li (Entropy, 2021)

Locality-constrained sparse representation for hyperspectral image classification. - Yuanshu Zhang; Yong Ma 001; Xiaobing Dai; Hao Li 034; Xiaoguang Mei; Jiayi Ma 001 (Inf. Sci., 2021)

Rice Seed Purity Identification Technology Using Hyperspectral Image with LASSO Logistic Regression Model. - Weihua Liu; Shan Zeng; Guiju Wu; Hao Li 034; Feifei Chen (Sensors, 2021)

Multi-stage convolutional autoencoder network for hyperspectral unmixing. - Yang Yu 045; Yong Ma 001; Xiaoguang Mei; Fan Fan 001; Jun Huang 008; Hao Li 034 (Int. J. Appl. Earth Obs. Geoinformation, 2022)

Unsupervised Representation Learning for 3D MRI Super Resolution with Degradation Adaptation. - Jianan Liu; Hao Li 034; Tao Huang 008; Euijoon Ahn; Adeel Razi; Wei Xiang 001 (CoRR, 2022)

An Enhanced Spectral Fusion 3D CNN Model for Hyperspectral Image Classification. - Junbo Zhou; Shan Zeng; Zuyin Xiao; Jinbo Zhou; Hao Li 034; Zhen Kang (Remote. Sens., 2022)

A Method for Detection of Corn Kernel Mildew Based on Co-Clustering Algorithm with Hyperspectral Image Technology. - Zhen Kang; Tianchen Huang; Shan Zeng; Hao Li 034; Lei Dong; Chaofan Zhang (Sensors, 2022)

UNAEN: Unsupervised Abnomality Extraction Network for MRI Motion Artifact Reduction. - Yusheng Zhou; Hao Li 034; Jianan Liu; Zhengmin Kong; Tao Huang 008; Euijoon Ahn; Zhihan Lv (CoRR, 2023)

Batch Implicit Neural Representation for MRI Parallel Reconstruction. - Hao Li 034; Yusheng Zhou; Jianan Liu; Xiling Liu; Tao Huang 008; Zhihan Lv (CoRR, 2023)

Unpaired MRI Super Resolution with Self-Supervised Contrastive Learning. - Hao Li 034; Quanwei Liu; Jianan Liu; Xiling Liu; Yanni Dong; Tao Huang 008; Zhihan Lv (CoRR, 2023)

Graph l₁-Laplacians Regularized GMM for Hyperspectral Unmixing. - Wendi Liu; Xiaoguang Mei; Yong Ma 001; Jun Huang 008; Qihai Chen; Hao Li 034 (IEEE Geosci. Remote. Sens. Lett., 2023)

Seamless UAV Hyperspectral Image Stitching Using Optimal Seamline Detection via Graph Cuts. - Zongyi Peng; Yong Ma 001; Yujie Zhang; Hao Li 034; Fan Fan 001; Xiaoguang Mei (IEEE Trans. Geosci. Remote. Sens., 2023)

A Sparse Framework for Robust Possibilistic K-Subspace Clustering. - Shan Zeng; Xiangjun Duan; Hao Li 034; Jun Bai; Yuanyan Tang; Zhiyong Wang 001 (IEEE Trans. Fuzzy Syst., 2023)

Enhancing Agricultural Image Segmentation with an Agricultural Segment Anything Model Adapter. - Yaqin Li; Dandan Wang; Cao Yuan; Hao Li 034; Jing Hu (Sensors, 2023)

Unpaired MRI Super Resolution with Contrastive Learning. - Hao Li 034; Quanwei Liu; Jianan Liu; Xiling Liu; Yanni Dong; Tao Huang 008; Zhihan Lv (ISBI, 2024)

UADNet: A Joint Unmixing and Anomaly Detection Network Based on Deep Clustering for Hyperspectral Image. - Wendi Liu; Yong Ma 001; Xiaozhu Wang; Jun Huang 008; Qihai Chen; Hao Li 034; Xiaoguang Mei (IEEE Trans. Geosci. Remote. Sens., 2024)

Unsupervised Representation Learning for 3-D Magnetic Resonance Imaging Superresolution With Degradation Adaptation. - Jianan Liu; Hao Li 034; Tao Huang 008; Euijoon Ahn; Kang Han; Adeel Razi; Wei Xiang 001; Jinman Kim; David Dagan Feng (IEEE Trans. Artif. Intell., 2024)

Unsupervised Radar Point Cloud Enhancement via Arbitrary LiDAR Guided Diffusion Prior. - Yanlong Yang; Jianan Liu; Guanxiong Luo; Hao Li 034; Euijoon Ahn; Mostafa Rahimi Azghadi; Tao Huang 008 (CoRR, 2025)

Explicit Abnormality Extraction for Unsupervised Motion Artifact Reduction in Magnetic Resonance Imaging. - Yusheng Zhou; Hao Li 034; Jianan Liu; Zhengmin Kong; Tao Huang 008; Euijoon Ahn; Zhihan Lv; Jinman Kim; David Dagan Feng (IEEE J. Biomed. Health Informatics, 2025)