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ORCIDYing Mu 0001
Person information
- affiliation: Zhejiang University, Research Center for Analytical Instrumentation, Institute of Cyber-systems and Control, State Key Laboratory of Industrial Control Technology, Hangzhou, China
Other persons with the same name
- Ying Mu — disambiguation page
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Journal Articles
- 2024
[j16]Zheng Liu, Shiluo Huang, Wei Jin, Ying Mu:
A novel method based on near-infrared imaging spectroscopy and graph-learning to evaluate the dyeing uniformity of polyester yarn. Eng. Appl. Artif. Intell. 131: 107912 (2024)- [j15]Zheng Liu, Shiluo Huang, Wei Jin, Ying Mu:
Consensus local graph for multiple kernel clustering. Neurocomputing 602: 128252 (2024) - [j14]Shiluo Huang
, Zheng Liu, Wei Jin, Ying Mu:
Superpixel-based multi-scale multi-instance learning for hyperspectral image classification. Pattern Recognit. 149: 110257 (2024) - [j13]Zheng Liu, Shiluo Huang, Wei Jin, Ying Mu:
Local kernels based graph learning for multiple kernel clustering. Pattern Recognit. 150: 110300 (2024) - 2023
- [j12]Shiluo Huang, Zheng Liu, Wei Jin, Ying Mu:
A deep multi-instance neural network for dyeing-free inspection of yarn dyeing uniformity. Eng. Appl. Artif. Intell. 123(Part A): 106159 (2023) - [j11]Zheng Liu, Shiluo Huang, Wei Jin, Ying Mu:
Learning local graph from multiple kernels. Neurocomputing 556: 126683 (2023) - 2022
- [j10]Zheng Liu, Wei Jin, Ying Mu:
Learning robust graph for clustering. Int. J. Intell. Syst. 37(10): 7736-7766 (2022) - [j9]Shiluo Huang, Zheng Liu, Wei Jin, Ying Mu:
A fisher score-based multi-instance learning method assisted by mixture of factor analysis. Neurocomputing 507: 358-368 (2022) - [j8]Shiluo Huang, Zheng Liu, Wei Jin, Ying Mu:
A Superpixel-Correlation-Based Multiview Approach for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j7]Zheng Liu, Wei Jin, Ying Mu:
Subspace embedding for classification. Neural Comput. Appl. 34(21): 18407-18420 (2022) - [j6]Shiluo Huang, Zheng Liu, Wei Jin, Ying Mu:
Bag dissimilarity regularized multi-instance learning. Pattern Recognit. 126: 108583 (2022) - 2021
- [j5]Zheng Liu, Shiluo Huang, Wei Jin, Ying Mu:
Broad learning system for semi-supervised learning. Neurocomputing 444: 38-47 (2021) - [j4]Shiluo Huang, Zheng Liu, Wei Jin, Ying Mu:
Broad learning system with manifold regularized sparse features for semi-supervised classification. Neurocomputing 463: 133-143 (2021) - [j3]Zheng Liu, Shiluo Huang, Wei Jin, Ying Mu:
Graph-based broad learning system for classification. Neurocomputing 463: 535-544 (2021) - 2020
- [j2]Zheng Liu, Wei Jin, Ying Mu:
Variances-constrained weighted extreme learning machine for imbalanced classification. Neurocomputing 403: 45-52 (2020) - [j1]Zheng Liu, Wei Jin, Ying Mu:
Graph-based boosting algorithm to learn labeled and unlabeled data. Pattern Recognit. 106: 107417 (2020)
Coauthor Index
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