Robust Unsupervised Feature Learning from Time-Series. - Jianyu Miao; Yong Shi 001; Lingfeng Niu (WI Workshops, 2016)

Large-scale Nonparallel Support Vector Ordinal Regression Solver. - Huadong Wang; Jianyu Miao; Seyed Mojtaba Hosseini Bamakan; Lingfeng Niu; Yong Shi 001 (ICCS, 2017)

A Feasible Direction Method for Optimization Problem with Orthogonal Constraint in Feature Selection. - Jianyu Miao; Yong Shi 001; Lingfeng Niu (ICDM Workshops, 2017)

Beyond Attributes: Adversarial Erasing Embedding Network for Zero-shot Learning. - Xiao-Bo Jin; Kaizhu Huang; Jianyu Miao (CoRR, 2018)

Feature Selection With ℓ2, 1-2 Regularization. - Yong Shi 001; Jianyu Miao; Zhengyu Wang; Peng Zhang 001; Lingfeng Niu (IEEE Trans. Neural Networks Learn. Syst., 2018)

Beyond Attributes: High-Order Attribute Features for Zero-Shot Learning. - Xiao-Bo Jin; Guo-Sen Xie; Kaizhu Huang; Jianyu Miao; Qiufeng Wang 001 (ICCV Workshops, 2019)

Sparse Optimization Based on Non-convex ℓ 1/2 Regularization for Deep Neural Networks. - Anda Tang; Rongrong Ma; Jianyu Miao; Lingfeng Niu (ICDS, 2019)

Graph-Based Clustering via Group Sparsity and Manifold Regularization. - Jianyu Miao; Tiejun Yang; Junwei Jin 001; Lingfeng Niu (IEEE Access, 2019)

Joint Sparse Regularization for Dictionary Learning. - Jianyu Miao; Heling Cao; Xiao-Bo Jin; Rongrong Ma; Xuan Fei; Lingfeng Niu (Cogn. Comput., 2019)

Transformed 𝓁1 Regularization for Learning Sparse Deep Neural Networks. - Rongrong Ma; Jianyu Miao; Lingfeng Niu; Peng Zhang 001 (CoRR, 2019)

View's dependency and low-rank background-guided compressed sensing for multi-view image joint reconstruction. - Xuan Fei; Lei Li; Heling Cao; Jianyu Miao; Renping Yu (IET Image Process., 2019)

Multi-task feature selection with sparse regularization to extract common and task-specific features. - Jiashuai Zhang; Jianyu Miao; Kun Zhao; Yingjie Tian 001 (Neurocomputing, 2019)

Fast kernel extreme learning machine for ordinal regression. - Yong Shi 001; Peijia Li; Hao Yuan; Jianyu Miao; Lingfeng Niu (Knowl. Based Syst., 2019)

Feature selection with MCP $$^2$$ 2 regularization. - Yong Shi 001; Jianyu Miao; Lingfeng Niu (Neural Comput. Appl., 2019)

Transformed ℓ1 regularization for learning sparse deep neural networks. - Rongrong Ma; Jianyu Miao; Lingfeng Niu; Peng Zhang 001 (Neural Networks, 2019)

A New Local Knowledge-Based Collaborative Representation for Image Recognition. - Junwei Jin 001; Yanting Li; Lijun Sun; Jianyu Miao; C. L. Philip Chen (IEEE Access, 2020)

Overview of Deep Learning Based Cardiac MR Image Segmentation Methods. - Bingjie Li; Jianyu Miao; Tiejun Yang (WI/IAT (Workshop/Special Session), 2021)

Total Variation Regularized Low-Rank Model With Directional Information for Hyperspectral Image Restoration. - Xuan Fei; Jianyu Miao; Yujuan Zhao; Wei Huang; Renping Yu (IEEE Access, 2021)

Unsupervised feature selection by non-convex regularized self-representation. - Jianyu Miao; Yuan Ping; Zhensong Chen 001; Xiao-Bo Jin; Peijia Li; Lingfeng Niu (Expert Syst. Appl., 2021)

Research on Graph Neural Network in Stock Market. - Wenjun Zhang; Zhensong Chen 001; Jianyu Miao; Xueyong Liu (ITQM, 2022)

Towards Compact Broad Learning System by Combined Sparse Regularization. - Jianyu Miao; Tiejun Yang; Jun-Wei Jin 001; Lijun Sun; Lingfeng Niu; Yong Shi 001 (Int. J. Inf. Technol. Decis. Mak., 2022)

Self-paced non-convex regularized analysis-synthesis dictionary learning for unsupervised feature selection. - Jianyu Miao; Tiejun Yang; Chao Fan; Zhensong Chen 001; Xuan Fei; Xuchan Ju; Ke Wang 064; Mingliang Xu 001 (Knowl. Based Syst., 2022)

Sparse matrix factorization with L2, 1 norm for matrix completion. - Xiaobo Jin; Jianyu Miao; Qiufeng Wang 001; Guanggang Geng; Kaizhu Huang (Pattern Recognit., 2022)

Graph regularized locally linear embedding for unsupervised feature selection. - Jianyu Miao; Tiejun Yang; Lijun Sun; Xuan Fei; Lingfeng Niu; Yong Shi 001 (Pattern Recognit., 2022)

Training Compact DNNs with ℓ1/2 Regularization. - Anda Tang; Lingfeng Niu; Jianyu Miao; Peng Zhang 001 (Pattern Recognit., 2023)

DC-SiamNet: Deep contrastive Siamese network for self-supervised MRI reconstruction. - Yanghui Yan; Tiejun Yang; Xiang Zhao; Chunxia Jiao; Aolin Yang; Jianyu Miao (Comput. Biol. Medicine, 2023)

Explicit unsupervised feature selection based on structured graph and locally linear embedding. - Jianyu Miao; Jingjing Zhao; Tiejun Yang; Chao Fan; Yingjie Tian 001; Yong Shi 001; Mingliang Xu (Expert Syst. Appl., 2024)

Lightweight-VGG: A Fast Deep Learning Architecture Based on Dimensionality Reduction and Nonlinear Enhancement for Hyperspectral Image Classification. - Xuan Fei; Sijia Wu; Jianyu Miao; Guicai Wang; Le Sun 002 (Remote. Sens., 2024)

Robust sparse orthogonal basis clustering for unsupervised feature selection. - Jianyu Miao; Jingjing Zhao; Tiejun Yang; Yingjie Tian 001; Yong Shi 001; Mingliang Xu (Expert Syst. Appl., 2025)

A Comprehensive Survey on Subspace Clustering: Methods and Applications. - Jianyu Miao; Xiaochan Zhang; Tiejun Yang; Chao Fan; Yingjie Tian 001; Yong Shi 001; Mingliang Xu (Artif. Intell. Rev., 2025)