Jianyu Miao

35 papers C 1Misc 1Journal 28Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
MWDiff: dual-domain Mamba-Wavelet diffusion model for low-dose CT reconstruction.
Biomed. Signal Process. Control.
Congcong Zhou, Tiejun Yang, Yige Song, Xutong Li, Jianyu Miao
2026 J jnl
Multi-graph fusion guided robust adaptive learning for subspace clustering.
Expert Syst. Appl.
Jianyu Miao, Xiaochan Zhang, Chao Fan, Tiejun Yang, Ying-jie Tian, Yong Shi, Mingliang Xu
2026 J jnl
Sparse subspace learning based redundancy-aware unsupervised feature selection.
Pattern Recognit.
Jianyu Miao, Jingjing Zhao, Tiejun Yang, Chao Fan, Ying Jie Tian, Mingliang Xu
2025 J jnl
A Comprehensive Survey on Subspace Clustering: Methods and Applications.
Artif. Intell. Rev.
Jianyu Miao, Xiaochan Zhang, Tiejun Yang, Chao Fan, Yingjie Tian, Yong Shi, Mingliang Xu
2025 J jnl
A Self-Supervised Equivariant Refinement Classification Network for Diabetic Retinopathy Classification.
J. Imaging Inform. Medicine
Jiacheng Fan, Tiejun Yang, Heng Wang, Huiyao Zhang, Wenjie Zhang, Mingzhu Ji, Jianyu Miao
2025 J jnl
A sparse brain network reconstruction based on euler characteristics for alzheimer's disease classification.
J. King Saud Univ. Comput. Inf. Sci.
Xu Zhang, Tiejun Yang, Heng Wang, Jianyu Miao
2025 J jnl
Robust sparse orthogonal basis clustering for unsupervised feature selection.
Expert Syst. Appl.
Jianyu Miao, Jingjing Zhao, Tiejun Yang, Yingjie Tian, Yong Shi, Mingliang Xu
2024 J jnl
Explicit unsupervised feature selection based on structured graph and locally linear embedding.
Expert Syst. Appl.
Jianyu Miao, Jingjing Zhao, Tiejun Yang, Chao Fan, Yingjie Tian, Yong Shi, Mingliang Xu
2024 J jnl
Lightweight-VGG: A Fast Deep Learning Architecture Based on Dimensionality Reduction and Nonlinear Enhancement for Hyperspectral Image Classification.
Remote. Sens.
Xuan Fei, Sijia Wu, Jianyu Miao, Guicai Wang, Le Sun
2023 J jnl
DC-SiamNet: Deep contrastive Siamese network for self-supervised MRI reconstruction.
Comput. Biol. Medicine
Yanghui Yan, Tiejun Yang, Xiang Zhao, Chunxia Jiao, Aolin Yang, Jianyu Miao
2023 J jnl
Training Compact DNNs with ℓ1/2 Regularization.
Pattern Recognit.
Anda Tang, Lingfeng Niu, Jianyu Miao, Peng Zhang
2022 J jnl
Graph regularized locally linear embedding for unsupervised feature selection.
Pattern Recognit.
Jianyu Miao, Tiejun Yang, Lijun Sun, Xuan Fei, Lingfeng Niu, Yong Shi
2022 — conf
Research on Graph Neural Network in Stock Market.
ITQM
WenJun Zhang, Zhensong Chen, Jianyu Miao, Xueyong Liu
2022 J jnl
Self-paced non-convex regularized analysis-synthesis dictionary learning for unsupervised feature selection.
Knowl. Based Syst.
Jianyu Miao, Tiejun Yang, Chao Fan, Zhensong Chen, Xuan Fei, Xuchan Ju, Ke Wang, Mingliang Xu
2022 J jnl
Sparse matrix factorization with L2, 1 norm for matrix completion.
Pattern Recognit.
Xiaobo Jin, Jianyu Miao, Qiufeng Wang, Guanggang Geng, Kaizhu Huang
2022 J jnl
Towards Compact Broad Learning System by Combined Sparse Regularization.
Int. J. Inf. Technol. Decis. Mak.
Jianyu Miao, Tiejun Yang, Jun-Wei Jin, Lijun Sun, Lingfeng Niu, Yong Shi
2021 — conf
Overview of Deep Learning Based Cardiac MR Image Segmentation Methods.
WI/IAT (Workshop/Special Session)
Bingjie Li, Jianyu Miao, Tiejun Yang
2021 J jnl
Total Variation Regularized Low-Rank Model With Directional Information for Hyperspectral Image Restoration.
IEEE Access
Xuan Fei, Jianyu Miao, Yujuan Zhao, Wei Huang, Renping Yu
2021 J jnl
Unsupervised feature selection by non-convex regularized self-representation.
Expert Syst. Appl.
Jianyu Miao, Yuan Ping, Zhensong Chen, Xiao-Bo Jin, Peijia Li, Lingfeng Niu
2020 J jnl
A New Local Knowledge-Based Collaborative Representation for Image Recognition.
IEEE Access
Junwei Jin, Yanting Li, Lijun Sun, Jianyu Miao, C. L. Philip Chen
2019 — conf
Beyond Attributes: High-Order Attribute Features for Zero-Shot Learning.
ICCV Workshops
Xiao-Bo Jin, Guo-Sen Xie, Kaizhu Huang, Jianyu Miao, Qiufeng Wang
2019 J jnl
Fast kernel extreme learning machine for ordinal regression.
Knowl. Based Syst.
Yong Shi, Peijia Li, Hao Yuan, Jianyu Miao, Lingfeng Niu
2019 J jnl
Feature selection with MCP $$^2$$ 2 regularization.
Neural Comput. Appl.
Yong Shi, Jianyu Miao, Lingfeng Niu
2019 J jnl
Graph-Based Clustering via Group Sparsity and Manifold Regularization.
IEEE Access
Jianyu Miao, Tiejun Yang, Junwei Jin, Lingfeng Niu
2019 J jnl
Joint Sparse Regularization for Dictionary Learning.
Cogn. Comput.
Jianyu Miao, Heling Cao, Xiao-Bo Jin, Rongrong Ma, Xuan Fei, Lingfeng Niu
2019 J jnl
Multi-task feature selection with sparse regularization to extract common and task-specific features.
Neurocomputing
Jiashuai Zhang, Jianyu Miao, Kun Zhao, Yingjie Tian
2019 C conf
Sparse Optimization Based on Non-convex ℓ
ICDS
Anda Tang, Rongrong Ma, Jianyu Miao, Lingfeng Niu
2019 J jnl
Transformed ℓ1 regularization for learning sparse deep neural networks.
Neural Networks
Rongrong Ma, Jianyu Miao, Lingfeng Niu, Peng Zhang
2019 J jnl
Transformed 𝓁
CoRR
Rongrong Ma, Jianyu Miao, Lingfeng Niu, Peng Zhang
2019 J jnl
View's dependency and low-rank background-guided compressed sensing for multi-view image joint reconstruction.
IET Image Process.
Xuan Fei, Lei Li, Heling Cao, Jianyu Miao, Renping Yu
2018 J jnl
Beyond Attributes: Adversarial Erasing Embedding Network for Zero-shot Learning.
CoRR
Xiao-Bo Jin, Kaizhu Huang, Jianyu Miao
2018 J jnl
Feature Selection With ℓ
IEEE Trans. Neural Networks Learn. Syst.
Yong Shi, Jianyu Miao, Zhengyu Wang, Peng Zhang, Lingfeng Niu
2017 — conf
A Feasible Direction Method for Optimization Problem with Orthogonal Constraint in Feature Selection.
ICDM Workshops
Jianyu Miao, Yong Shi, Lingfeng Niu
2017 Misc conf
Large-scale Nonparallel Support Vector Ordinal Regression Solver.
ICCS
Huadong Wang, Jianyu Miao, Seyed Mojtaba Hosseini Bamakan, Lingfeng Niu, Yong Shi
2016 — conf
Robust Unsupervised Feature Learning from Time-Series.
WI Workshops
Jianyu Miao, Yong Shi, Lingfeng Niu