FFGS: Feature Fusion with Gating Structure for Image Caption Generation. - Aihong Yuan; Xuelong Li 001; Xiaoqiang Lu (CCCV (1), 2017)

Multi-modal gated recurrent units for image description. - Xuelong Li 001; Aihong Yuan; Xiaoqiang Lu (Multim. Tools Appl., 2018)

3G structure for image caption generation. - Aihong Yuan; Xuelong Li 001; Xiaoqiang Lu (Neurocomputing, 2019)

Joint Self-expression with Adaptive Graph for Unsupervised Feature Selection. - Aihong Yuan; Xiaoyu Gao; Mengbo You; Dongjian He (PRCV (3), 2020)

Vision-to-Language Tasks Based on Attributes and Attention Mechanism. - Xuelong Li 001; Aihong Yuan; Xiaoqiang Lu (IEEE Trans. Cybern., 2021)

Unsupervised Feature Selection via Feature-Grouping and Orthogonal Constraint. - Aihong Yuan; Jiahao Huang; Chen Wei; Wenjie Zhang; Naidan Zhang; Mengbo You (ICPR, 2022)

Low Rank and Semi-Nonnegative Tensor Factorization for Hyperspectral Imagery Denoising. - Aihong Yuan; Junchao Yu; Xiaoyi Zuo; Kaixin Gao; Mengbo You (IGARSS, 2022)

Hyperspectral Band Selection Via Sparse Principal Component Analysis and Adaptive Multiple Graph Learning. - Wenxian Zhang; Aihong Yuan; Jinglei Tang (IGARSS, 2022)

Hyperspectral Band Selection via Band Grouping and Adaptive Multi-Graph Constraint. - Mengbo You; Xiancheng Meng; Yishu Wang 007; Hongyuan Jin; Chunting Zhai; Aihong Yuan (Remote. Sens., 2022)

Convex Non-Negative Matrix Factorization With Adaptive Graph for Unsupervised Feature Selection. - Aihong Yuan; Mengbo You; Dongjian He; Xuelong Li 001 (IEEE Trans. Cybern., 2022)

Unsupervised Feature Selection via Nonlinear Representation and Adaptive Structure Preservation. - Aihong Yuan; Lin Lin; Peiqi Tian; Qinrong Zhang (PRCV (7), 2023)

Unsupervised Feature Selection via Neural Networks and Self-Expression with Adaptive Graph Constraint. - Mengbo You; Aihong Yuan; Dongjian He; Xuelong Li 001 (Pattern Recognit., 2023)

Robust Unsupervised Hyperspectral Band Selection via Global Affinity Matrix Reconstruction. - Mengbo You; Aihong Yuan; Min Zou; Kouichi Konno (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

VMF-SSD: A Novel V-Space Based Multi-Scale Feature Fusion SSD for Apple Leaf Disease Detection. - Liangliang Tian; Haixi Zhang; Bin Liu 023; Jiaqi Zhang; Nannan Duan; Aihong Yuan; Yingqiu Huo (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

LAD-Net: A Novel Light Weight Model for Early Apple Leaf Pests and Diseases Classification. - Xianyu Zhu; Jinjiang Li; Runchang Jia; Bin Liu 023; Zhuohan Yao; Aihong Yuan; Yingqiu Huo; Haixi Zhang (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Unsupervised feature selection with joint self-expression and spectral analysis via adaptive graph constraints. - Mengbo You; Lujie Ban; Yuhan Wang; Juan Kang; Guorui Wang; Aihong Yuan (Multim. Tools Appl., 2023)

Robust Unsupervised Feature Selection via Multi-Group Adaptive Graph Representation. - Mengbo You; Aihong Yuan; Min Zou; Dongjian He; Xuelong Li 001 (IEEE Trans. Knowl. Data Eng., 2023)

Latent Multi-view Clustering Based Adaptive Graph Constraint. - Wenbo Li; Bowen Shi; Daidai Zhu; Aihong Yuan (CMLDS, 2024)

Sparse Principal Component Analysis and Adaptive Multigraph Learning for Hyperspectral Band Selection. - Wenxian Zhang; Aihong Yuan; Jinglei Tang; Xuelong Li 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Symmetrical Self-Representation and Data-Grouping Strategy for Unsupervised Feature Selection. - Aihong Yuan; Mengbo You; Yuhan Wang; Xun Li; Xuelong Li 001 (IEEE Trans. Knowl. Data Eng., 2024)

Consensus multi-view spectral clustering network with unified similarity. - Yang Zhao; Daidai Zhu; Aihong Yuan; Xuelong Li (Neural Networks, 2025)

Deep Spectral Clustering With Projected Adaptive Feature Selection. - Yang Zhao 021; Zixuan Bi; Peican Zhu; Aihong Yuan; Xuelong Li 001 (IEEE Trans. Geosci. Remote. Sens., 2025)