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Journal Articles
- 2024
[j19]Jianyu Miao
, Jingjing Zhao, Tiejun Yang, Chao Fan, Yingjie Tian, Yong Shi, Mingliang Xu:
Explicit unsupervised feature selection based on structured graph and locally linear embedding. Expert Syst. Appl. 255: 124568 (2024)- [j18]Xuan Fei, Sijia Wu, Jianyu Miao, Guicai Wang, Le Sun:
Lightweight-VGG: A Fast Deep Learning Architecture Based on Dimensionality Reduction and Nonlinear Enhancement for Hyperspectral Image Classification. Remote. Sens. 16(2): 259 (2024) - 2023
- [j17]Yanghui Yan, Tiejun Yang, Xiang Zhao, Chunxia Jiao, Aolin Yang, Jianyu Miao:
DC-SiamNet: Deep contrastive Siamese network for self-supervised MRI reconstruction. Comput. Biol. Medicine 167: 107619 (2023) - [j16]Anda Tang, Lingfeng Niu, Jianyu Miao, Peng Zhang:
Training Compact DNNs with ℓ1/2 Regularization. Pattern Recognit. 136: 109206 (2023) - 2022
- [j15]Jianyu Miao, Tiejun Yang, Jun-Wei Jin, Lijun Sun, Lingfeng Niu, Yong Shi:
Towards Compact Broad Learning System by Combined Sparse Regularization. Int. J. Inf. Technol. Decis. Mak. 21(1): 169-194 (2022) - [j14]Jianyu Miao, Tiejun Yang, Chao Fan, Zhensong Chen, Xuan Fei, Xuchan Ju, Ke Wang, Mingliang Xu:
Self-paced non-convex regularized analysis-synthesis dictionary learning for unsupervised feature selection. Knowl. Based Syst. 241: 108279 (2022) - [j13]Jianyu Miao, Tiejun Yang, Lijun Sun, Xuan Fei, Lingfeng Niu, Yong Shi:
Graph regularized locally linear embedding for unsupervised feature selection. Pattern Recognit. 122: 108299 (2022) - [j12]Xiaobo Jin, Jianyu Miao, Qiufeng Wang, Guanggang Geng, Kaizhu Huang:
Sparse matrix factorization with L2, 1 norm for matrix completion. Pattern Recognit. 127: 108655 (2022) - 2021
- [j11]Xuan Fei, Jianyu Miao, Yujuan Zhao, Wei Huang, Renping Yu:
Total Variation Regularized Low-Rank Model With Directional Information for Hyperspectral Image Restoration. IEEE Access 9: 84156-84169 (2021) - [j10]Jianyu Miao, Yuan Ping, Zhensong Chen, Xiao-Bo Jin, Peijia Li, Lingfeng Niu:
Unsupervised feature selection by non-convex regularized self-representation. Expert Syst. Appl. 173: 114643 (2021) - 2020
- [j9]Junwei Jin, Yanting Li, Lijun Sun, Jianyu Miao, C. L. Philip Chen:
A New Local Knowledge-Based Collaborative Representation for Image Recognition. IEEE Access 8: 81069-81079 (2020) - 2019
- [j8]Jianyu Miao, Tiejun Yang, Junwei Jin, Lingfeng Niu:
Graph-Based Clustering via Group Sparsity and Manifold Regularization. IEEE Access 7: 172123-172135 (2019) - [j7]Jianyu Miao, Heling Cao, Xiao-Bo Jin, Rongrong Ma, Xuan Fei, Lingfeng Niu:
Joint Sparse Regularization for Dictionary Learning. Cogn. Comput. 11(5): 697-710 (2019) - [j6]Xuan Fei, Lei Li, Heling Cao, Jianyu Miao, Renping Yu:
View's dependency and low-rank background-guided compressed sensing for multi-view image joint reconstruction. IET Image Process. 13(12): 2294-2303 (2019) - [j5]Jiashuai Zhang, Jianyu Miao, Kun Zhao, Yingjie Tian:
Multi-task feature selection with sparse regularization to extract common and task-specific features. Neurocomputing 340: 76-89 (2019) - [j4]Yong Shi, Peijia Li, Hao Yuan, Jianyu Miao, Lingfeng Niu:
Fast kernel extreme learning machine for ordinal regression. Knowl. Based Syst. 177: 44-54 (2019) - [j3]Yong Shi, Jianyu Miao, Lingfeng Niu:
Feature selection with MCP $$^2$$ 2 regularization. Neural Comput. Appl. 31(10): 6699-6709 (2019) - [j2]Rongrong Ma, Jianyu Miao, Lingfeng Niu, Peng Zhang:
Transformed ℓ1 regularization for learning sparse deep neural networks. Neural Networks 119: 286-298 (2019) - 2018
- [j1]Yong Shi, Jianyu Miao, Zhengyu Wang, Peng Zhang, Lingfeng Niu:
Feature Selection With ℓ2, 1-2 Regularization. IEEE Trans. Neural Networks Learn. Syst. 29(10): 4967-4982 (2018)
Conference and Workshop Papers
- 2022
- [c7]Wenjun Zhang, Zhensong Chen, Jianyu Miao, Xueyong Liu:
Research on Graph Neural Network in Stock Market. ITQM 2022: 786-792 - 2021
- [c6]Bingjie Li, Jianyu Miao, Tiejun Yang:
Overview of Deep Learning Based Cardiac MR Image Segmentation Methods. WI/IAT (Workshop/Special Session) 2021: 503-509 - 2019
- [c5]Xiao-Bo Jin, Guo-Sen Xie, Kaizhu Huang, Jianyu Miao, Qiufeng Wang:
Beyond Attributes: High-Order Attribute Features for Zero-Shot Learning. ICCV Workshops 2019: 2953-2962 - [c4]Anda Tang, Rongrong Ma, Jianyu Miao, Lingfeng Niu:
Sparse Optimization Based on Non-convex ℓ 1/2 Regularization for Deep Neural Networks. ICDS 2019: 158-166 - 2017
- [c3]Huadong Wang, Jianyu Miao, Seyed Mojtaba Hosseini Bamakan, Lingfeng Niu, Yong Shi:
Large-scale Nonparallel Support Vector Ordinal Regression Solver. ICCS 2017: 1261-1270 - [c2]Jianyu Miao, Yong Shi, Lingfeng Niu:
A Feasible Direction Method for Optimization Problem with Orthogonal Constraint in Feature Selection. ICDM Workshops 2017: 824-829 - 2016
- [c1]Jianyu Miao, Yong Shi, Lingfeng Niu:
Robust Unsupervised Feature Learning from Time-Series. WI Workshops 2016: 37-40
Informal and Other Publications
- 2019
- [i2]Rongrong Ma, Jianyu Miao, Lingfeng Niu, Peng Zhang:
Transformed 𝓁1 Regularization for Learning Sparse Deep Neural Networks. CoRR abs/1901.01021 (2019) - 2018
- [i1]Xiao-Bo Jin, Kaizhu Huang, Jianyu Miao:
Beyond Attributes: Adversarial Erasing Embedding Network for Zero-shot Learning. CoRR abs/1811.07626 (2018)
Coauthor Index
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