| Multi-source information fusion based on rough set theory: A review P Zhang, T Li, G Wang, C Luo, H Chen, J Zhang, D Wang, Z Yu Information Fusion 68, 85-117, 2021 | 237 | 2021 |
| Latent factor-based recommenders relying on extended stochastic gradient descent algorithms X Luo, D Wang, MC Zhou, H Yuan IEEE Transactions on Systems, Man, and Cybernetics: Systems 51 (2), 916-926, 2019 | 158 | 2019 |
| Fairness and accuracy in horizontal federated learning W Huang, T Li, D Wang, S Du, J Zhang, T Huang Information Sciences 589, 170-185, 2022 | 100 | 2022 |
| Fairness and accuracy in federated learning W Huang, T Li, D Wang, S Du, J Zhang arXiv preprint arXiv:2012.10069, 2020 | 52 | 2020 |
| 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 | 49 | 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 | 46 | 2023 |
| A multi-source information fusion model for outlier detection P Zhang, T Li, G Wang, D Wang, P Lai, F Zhang Information Fusion 93, 192-208, 2023 | 41 | 2023 |
| A possibilistic information fusion-based unsupervised feature selection method using information quality measures P Zhang, T Li, Z Yuan, Z Deng, G Wang, D Wang, F Zhang IEEE Transactions on Fuzzy Systems 31 (9), 2975-2988, 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 | 39 | 2023 |
| 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 |
| 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 | 26 | 2023 |
| Fedcke: Cross-domain knowledge graph embedding in federated learning W Huang, J Liu, T Li, S Ji, D Wang, T Huang IEEE Transactions on Big Data 9 (3), 792-804, 2022 | 26 | 2022 |
| Dual graph-regularized sparse concept factorization for clustering D Wang, T Li, P Deng, H Wang, P Zhang Information Sciences 607, 1074-1088, 2022 | 20 | 2022 |
| Elastic-net regularized latent factor analysis-based models for recommender systems D Wang, Y Chen, J Guo, X Shi, C He, X Luo, H Yuan Neurocomputing 329, 66-74, 2019 | 19 | 2019 |
| Shengdong Du, and Junbo Zhang. Fairness and accuracy in federated learning W Huang, T Li, D Wang arXiv preprint arXiv:2012.10069, 2020 | 18 | 2020 |
| A multi-scale information fusion-based multiple correlations for unsupervised attribute selection P Zhang, D Wang, Z Yu, Y Zhang, T Jiang, T Li Information Fusion 106, 102276, 2024 | 16 | 2024 |
| Multimodal federated learning: Concept, methods, applications and future directions W Huang, D Wang, X Ouyang, J Wan, J Liu, T Li Information Fusion 112, 102576, 2024 | 8 | 2024 |
| 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 15 (5), 1-20, 2024 | 5 | 2024 |
| Fast attribute reduction via inconsistent equivalence classes for large-scale data G Wang, P Zhang, D Wang, H Chen, T Li International Journal of Approximate Reasoning 163, 109039, 2023 | 5 | 2023 |
| 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 |
Tianrui LiSchool of Computing and Artificial Intelligence, Southwest Jiaotong UniversityAdresă de e-mail confirmată pe swjtu.edu.cn
