Jianyu Miao

According to our database, Jianyu Miao authored at least 28 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

Remote. Sens., January, 2024

Explicit unsupervised feature selection based on structured graph and locally linear embedding.

Jianyu Miao, Jingjing Zhao, Tiejun Yang, Chao Fan, Yingjie Tian, Yong Shi, Mingliang Xu

Expert Syst. Appl., 2024

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, December, 2023

Training Compact DNNs with ℓ1/2 Regularization.

Anda Tang, Lingfeng Niu, Jianyu Miao, Peng Zhang

Pattern Recognit., April, 2023

2022

Graph regularized locally linear embedding for unsupervised feature selection.

Jianyu Miao, Tiejun Yang, Lijun Sun, Xuan Fei, Lingfeng Niu, Yong Shi

Pattern Recognit., 2022

Sparse matrix factorization with L2, 1 norm for matrix completion.

Xiaobo Jin, Jianyu Miao, Qiufeng Wang, Guanggang Geng, Kaizhu Huang

Pattern Recognit., 2022

Self-paced non-convex regularized analysis-synthesis dictionary learning for unsupervised feature selection.

Jianyu Miao, Tiejun Yang, Chao Fan, Zhensong Chen, Xuan Fei, Xuchan Ju, Ke Wang, Mingliang Xu

Knowl. Based Syst., 2022

Towards Compact Broad Learning System by Combined Sparse Regularization.

Jianyu Miao, Tiejun Yang, Jun-Wei Jin, Lijun Sun, Lingfeng Niu, Yong Shi

Int. J. Inf. Technol. Decis. Mak., 2022

Research on Graph Neural Network in Stock Market.

Wenjun Zhang, Zhensong Chen, Jianyu Miao, Xueyong Liu

Proceedings of the 9th International Conference on Information Technology and Quantitative Management, 2022

2021

Unsupervised feature selection by non-convex regularized self-representation.

Jianyu Miao, Yuan Ping, Zhensong Chen, Xiao-Bo Jin, Peijia Li, Lingfeng Niu

Expert Syst. Appl., 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

Overview of Deep Learning Based Cardiac MR Image Segmentation Methods.

Bingjie Li, Jianyu Miao, Tiejun Yang

Proceedings of the WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence, Hybrid Event / Melbourne, VIC, Australia, December 14 - 17, 2021, 2021

2020

A New Local Knowledge-Based Collaborative Representation for Image Recognition.

Junwei Jin, Yanting Li, Lijun Sun, Jianyu Miao, C. L. Philip Chen

IEEE Access, 2020

2019

Transformed ℓ1 regularization for learning sparse deep neural networks.

Rongrong Ma, Jianyu Miao, Lingfeng Niu, Peng Zhang

Neural Networks, 2019

Feature selection with MCP $$^2$$ 2 regularization.

Yong Shi, Jianyu Miao, Lingfeng Niu

Neural Comput. Appl., 2019

Fast kernel extreme learning machine for ordinal regression.

Yong Shi, Peijia Li, Hao Yuan, Jianyu Miao, Lingfeng Niu

Knowl. Based Syst., 2019

Multi-task feature selection with sparse regularization to extract common and task-specific features.

Jiashuai Zhang, Jianyu Miao, Kun Zhao, Yingjie Tian

Neurocomputing, 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

Transformed 𝓁₁ Regularization for Learning Sparse Deep Neural Networks.

Rongrong Ma, Jianyu Miao, Lingfeng Niu, Peng Zhang

CoRR, 2019

Joint Sparse Regularization for Dictionary Learning.

Jianyu Miao, Heling Cao, Xiao-Bo Jin, Rongrong Ma, Xuan Fei, Lingfeng Niu

Cogn. Comput., 2019

Graph-Based Clustering via Group Sparsity and Manifold Regularization.

Jianyu Miao, Tiejun Yang, Junwei Jin, Lingfeng Niu

IEEE Access, 2019

Sparse Optimization Based on Non-convex ℓ _1/2 Regularization for Deep Neural Networks.

Anda Tang, Rongrong Ma, Jianyu Miao, Lingfeng Niu

Proceedings of the Data Science - 6th International Conference, 2019

Beyond Attributes: High-Order Attribute Features for Zero-Shot Learning.

Xiao-Bo Jin, Guo-Sen Xie, Kaizhu Huang, Jianyu Miao, Qiufeng Wang

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018

Feature Selection With ℓ_{2, 1-2} Regularization.

Yong Shi, Jianyu Miao, Zhengyu Wang, Peng Zhang, Lingfeng Niu

IEEE Trans. Neural Networks Learn. Syst., 2018

Beyond Attributes: Adversarial Erasing Embedding Network for Zero-shot Learning.

Xiao-Bo Jin, Kaizhu Huang, Jianyu Miao

CoRR, 2018

2017

A Feasible Direction Method for Optimization Problem with Orthogonal Constraint in Feature Selection.

Jianyu Miao, Yong Shi, Lingfeng Niu

Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Large-scale Nonparallel Support Vector Ordinal Regression Solver.

Huadong Wang, Jianyu Miao, Seyed Mojtaba Hosseini Bamakan, Lingfeng Niu, Yong Shi

Proceedings of the International Conference on Computational Science, 2017

2016

Robust Unsupervised Feature Learning from Time-Series.

Jianyu Miao, Yong Shi, Lingfeng Niu

Proceedings of the 2016 IEEE/WIC/ACM International Conference on Web Intelligence, 2016