A generalized deep learning algorithm based on NMF for multi-view clustering D Wang, T Li, P Deng, J Liu, W Huang, F Zhang IEEE Transactions on Big Data 9 (1), 328-340, 2022 | 46 | 2022 |
A multi-view clustering algorithm based on deep semi-NMF D Wang, T Li, W Huang, Z Luo, P Deng, P Zhang, M Ma Information Fusion 99, 101884, 2023 | 41 | 2023 |
A generalized deep learning clustering algorithm based on non-negative matrix factorization D Wang, T Li, P Deng, F Zhang, W Huang, P Zhang, J Liu ACM Transactions on Knowledge Discovery from Data 17 (7), 1-20, 2023 | 37 | 2023 |
Linear discriminant analysis guided by unsupervised ensemble learning P Deng, H Wang, T Li, SJ Horng, X Zhu Information Sciences 480, 211-221, 2019 | 37 | 2019 |
Graph regularized sparse non-negative matrix factorization for clustering P Deng, T Li, H Wang, D Wang, SJ Horng, R Liu IEEE Transactions on Computational Social Systems 10 (3), 910-921, 2022 | 35 | 2022 |
Tri-regularized nonnegative matrix tri-factorization for co-clustering P Deng, T Li, H Wang, SJ Horng, Z Yu, X Wang Knowledge-Based Systems 226, 107101, 2021 | 34 | 2021 |
Multi-view clustering guided by unconstrained non-negative matrix factorization P Deng, T Li, D Wang, H Wang, H Peng, SJ Horng Knowledge-Based Systems 266, 110425, 2023 | 23 | 2023 |
Dual graph-regularized sparse concept factorization for clustering D Wang, T Li, P Deng, H Wang, P Zhang Information Sciences 607, 1074-1088, 2022 | 19 | 2022 |
Hybrid genetic model for clustering ensemble W Yang, Y Zhang, H Wang, P Deng, T Li Knowledge-Based Systems 231, 107457, 2021 | 13 | 2021 |
Biased unconstrained non-negative matrix factorization for clustering P Deng, F Zhang, T Li, H Wang, SJ Horng Knowledge-Based Systems 239, 108040, 2022 | 7 | 2022 |
DNSRF: Deep Network-based Semi-NMF Representation Framework D Wang, T Li, P Deng, Z Luo, P Zhang, K Liu, W Huang ACM Transactions on Intelligent Systems and Technology, 2024 | 5 | 2024 |
Softmax regression by using unsupervised ensemble learning P Deng, H Wang, SJ Horng, D Wang, J Zhang, H Zhou 2018 9th International Symposium on Parallel Architectures, Algorithms and …, 2018 | 5 | 2018 |
T-Distributed Stochastic Neighbor Embedding for Co-Representation Learning W Chen, H Wang, Y Zhang, P Deng, Z Luo, T Li ACM Transactions on Intelligent Systems and Technology 15 (2), 1-18, 2024 | 4 | 2024 |
Co-adjustment learning for co-clustering J Zhang, H Wang, S Huang, T Li, P Jin, P Deng, Q Zhao Cognitive Computation 13, 504-517, 2021 | 4 | 2021 |
An autoencoder-like deep NMF representation learning algorithm for clustering D Wang, P Zhang, P Deng, Q Wu, W Chen, T Jiang, W Huang, T Li Knowledge-Based Systems 305, 112597, 2024 | 2 | 2024 |
Quantum clustering ensemble P Tian, S Jia, P Deng, H Wang International Journal of Computational Intelligence Systems 14 (1), 248-256, 2021 | 2 | 2021 |
Temporal Knowledge Graph Embedding for Metro Flow Analysis D Wang, P Zhang, P Deng, T Li Intelligent Management of Data and Information in Decision Making …, 2024 | | 2024 |
Automatic label assignment object detection mehtod on only one feature map T Ma, Z Huang, N Yang, C Zhu, P Deng Machine Vision and Applications 35 (1), 2, 2024 | | 2024 |
Enhanced clustering embedded in curvilinear distance analysis guided by pairwise constraints Y Wu, Y Zhang, H Wang, P Deng, T Li Information Sciences 556, 111-127, 2021 | | 2021 |
DP _DETECTION: An outlier detection algorithm based on density of big data X Li, P Deng, M Huang, D Li, H Wang Data Science and Knowledge Engineering for Sensing Decision Support …, 2018 | | 2018 |