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2020 – today
- 2025
[j17]Bo Zhong, Jun-Yun Wu, Jian-Sheng Wu, Weidong Min:
Multi-view deep reciprocal nonnegative matrix factorization. Eng. Appl. Artif. Intell. 139: 109508 (2025)- 2024
- [j16]Jian-Sheng Wu
, Yanlan Li, Jun-Xiao Gong, Weidong Min:
Collaborative and Discriminative Subspace Learning for unsupervised multi-view feature selection. Eng. Appl. Artif. Intell. 133: 108145 (2024) - [j15]Jing-Xin Liu, Qing-Peng Zeng, Jian-Sheng Wu, Wei Huang:
Joint Cauchy dictionary learning and graph learning for unsupervised feature selection. Eng. Appl. Artif. Intell. 136: 108936 (2024) - [j14]Bo Zhong, Jian-Sheng Wu, Wei Huang, Wei-Shi Zheng:
Cluster structure augmented deep nonnegative matrix factorization with low-rank tensor learning. Inf. Sci. 670: 120585 (2024) - [j13]Jian-Sheng Wu, Jun-Xiao Gong, Jing-Xin Liu, Wei Huang, Wei-Shi Zheng:
Dual-level feature assessment for unsupervised multi-view feature selection with latent space learning. Inf. Sci. 670: 120604 (2024) - 2023
- [j12]Jian-Sheng Wu, Jing-Xin Liu, Jun-Yun Wu, Wei Huang:
Dictionary learning for unsupervised feature selection via dual sparse regression. Appl. Intell. 53(15): 18840-18856 (2023) - [j11]Jian-Sheng Wu, Jun-Xiao Gong, Jing-Xin Liu, Weidong Min:
Multi-level correlation learning for multi-view unsupervised feature selection. Knowl. Based Syst. 281: 111073 (2023) - [j10]Ping Zou, Jian-Sheng Wu:
SwinE-UNet3+: swin transformer encoder network for medical image segmentation. Prog. Artif. Intell. 12(1): 99-105 (2023) - 2021
- [j9]Jian-Sheng Wu, Meng-Xiao Song, Weidong Min, Jian-Huang Lai, Wei-Shi Zheng:
Joint adaptive manifold and embedding learning for unsupervised feature selection. Pattern Recognit. 112: 107742 (2021) - 2020
- [j8]Dong Huang, Chang-Dong Wang, Jian-Sheng Wu, Jian-Huang Lai, Chee-Keong Kwoh:
Ultra-Scalable Spectral Clustering and Ensemble Clustering. IEEE Trans. Knowl. Data Eng. 32(6): 1212-1226 (2020)
2010 – 2019
- 2019
- [i1]Dong Huang, Chang-Dong Wang, Jian-Sheng Wu, Jian-Huang Lai, Chee-Keong Kwoh:
Ultra-Scalable Spectral Clustering and Ensemble Clustering. CoRR abs/1903.01057 (2019) - 2018
- [j7]Jian-Sheng Wu, Wei-Shi Zheng, Jian-Huang Lai, Ching Y. Suen:
Euler Clustering on Large-Scale Dataset. IEEE Trans. Big Data 4(4): 502-515 (2018) - 2017
- [j6]Hui-Liang Ling, Jian-Sheng Wu, Yi Zhou, Wei-Shi Zheng:
Corrigendum to "How many clusters? A robust PSO-based local density model" [Neurocomputing 207 (2016) 264-275]. Neurocomputing 226: 269 (2017) - 2016
- [j5]Hui-Liang Ling, Jian-Sheng Wu, Yi Zhou, Wei-Shi Zheng:
How many clusters? A robust PSO-based local density model. Neurocomputing 207: 264-275 (2016) - 2015
- [j4]Jian-Sheng Wu, Kuang-Han Tai, Gwo-Long Li, Mei-Juan Chen, Yung-Hsiang Tang:
Effective computation-aware algorithm by inter-layer motion analysis for scalable video coding. J. Vis. Commun. Image Represent. 32: 107-119 (2015) - [j3]Jian-Sheng Wu, Wei-Shi Zheng, Jian-Huang Lai:
Approximate kernel competitive learning. Neural Networks 63: 117-132 (2015) - 2014
- [j2]Jian-Sheng Wu, Sheng-Jun Huang, Zhi-Hua Zhou:
Genome-Wide Protein Function Prediction through Multi-Instance Multi-Label Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 11(5): 891-902 (2014) - 2013
- [j1]Jian-Sheng Wu, Zhi-Hua Zhou:
Sequence-Based Prediction of microRNA-Binding Residues in Proteins Using Cost-Sensitive Laplacian Support Vector Machines. IEEE ACM Trans. Comput. Biol. Bioinform. 10(3): 752-759 (2013) - [c2]Jian-Sheng Wu, Wei-Shi Zheng, Jian-Huang Lai:
Euler Clustering. IJCAI 2013: 1792-1798 - 2011
- [c1]Jian-Sheng Wu, Jian-Huang Lai, Chang-Dong Wang:
A Novel Co-clustering Method with Intra-similarities. ICDM Workshops 2011: 300-306
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