| Multiview privileged support vector machines J Tang, Y Tian, P Zhang, X Liu IEEE transactions on neural networks and learning systems 29 (8), 3463-3477, 2017 | 115 | 2017 |
| Coupling privileged kernel method for multi-view learning J Tang, Y Tian, D Liu, G Kou Information Sciences 481, 110-127, 2019 | 41 | 2019 |
| Multi-view learning based on nonparallel support vector machine J Tang, D Li, Y Tian, D Liu Knowledge-Based Systems 158, 94-108, 2018 | 37 | 2018 |
| Improved multi-view privileged support vector machine J Tang, Y Tian, X Liu, D Li, J Lv, G Kou Neural Networks 106, 96-109, 2018 | 35 | 2018 |
| Multi-view learning methods with the LINEX loss for pattern classification J Tang, W Xu, J Li, Y Tian, S Xu Knowledge-Based Systems 228, 107285, 2021 | 24 | 2021 |
| Robust cost-sensitive kernel method with Blinex loss and its applications in credit risk evaluation J Tang, J Li, W Xu, Y Tian, X Ju, J Zhang Neural Networks 143, 327-344, 2021 | 23 | 2021 |
| A multi-kernel framework with nonparallel support vector machine J Tang, Y Tian Neurocomputing 266, 226-238, 2017 | 23 | 2017 |
| Coupling loss and self-used privileged information guided multi-view transfer learning J Tang, Y He, Y Tian, D Liu, G Kou, FE Alsaadi Information Sciences 551, 245-269, 2021 | 22 | 2021 |
| Cost-sensitive learning with modified Stein loss function S Fu, Y Tian, J Tang, X Liu Neurocomputing 525, 57-75, 2023 | 15 | 2023 |
| Image classification with multi-view multi-instance metric learning J Tang, D Li, Y Tian Expert Systems with Applications 189, 116117, 2022 | 15 | 2022 |
| Multi-view teacher–student network Y Tian, S Sun, J Tang Neural Networks 146, 69-84, 2022 | 15 | 2022 |
| Multi-view cost-sensitive kernel learning for imbalanced classification problem J Tang, Z Hou, X Yu, S Fu, Y Tian Neurocomputing 552, 126562, 2023 | 10 | 2023 |
| Generalized robust loss functions for machine learning S Fu, X Wang, J Tang, S Lan, Y Tian Neural Networks 171, 200-214, 2024 | 9 | 2024 |
| Incomplete-view oriented kernel learning method with generalization error bound Y Tian, S Fu, J Tang Information Sciences 581, 951-977, 2021 | 9 | 2021 |
| Multi-view multi-task support vector machine J Zhang, Y He, J Tang Computational Science–ICCS 2018: 18th International Conference, Wuxi, China …, 2018 | 8 | 2018 |
| Robust multi-view learning with the bounded LINEX loss J Tang, H He, S Fu, Y Tian, G Kou, S Xu Neurocomputing 518, 384-400, 2023 | 7 | 2023 |
| Multi-view deep metric learning for image classification D Li, J Tang, Y Tian, X Ju 2017 IEEE International Conference on Image Processing (ICIP), 4142-4146, 2017 | 6 | 2017 |
| A systematic review on minwise hashing algorithms J Tang, Y Tian Annals of Data Science 3, 445-468, 2016 | 6 | 2016 |
| [Retracted] Adoption of Convolutional Neural Network Algorithm Combined with Augmented Reality in Building Data Visualization and Intelligent Detection M Wei, J Tang, H Tang, R Zhao, X Gai, R Lin Complexity 2021 (1), 5161111, 2021 | 5 | 2021 |
| LGND: a new method for multi-class novelty detection J Tang, Y Tian, X Liu Neural Computing and Applications 31, 3339-3355, 2019 | 5 | 2019 |
