| Can cross entropy loss be robust to label noise? L Feng, S Shu, Z Lin, F Lv, L Li, B An International Joint Conference on Artificial Intelligence (IJCAI), 2206-2212, 2020 | 191 | 2020 |
| Regularized matrix factorization for multilabel learning with missing labels L Feng, J Huang, S Shu, B An IEEE transactions on cybernetics 52 (5), 3710-3721, 2020 | 29 | 2020 |
| Pointwise Binary Classification with Pairwise Confidence Comparisons L Feng, S Shu, N Lu, B Han, M Xu, G Niu, B An, M Sugiyama International Conference on Machine Learning (ICML), 3252-3262, 2021 | 25 | 2021 |
| Learning from Multi-Class Positive and Unlabeled Data S Shu, Z Lin, Y Yan, L Li IEEE International Conference on Data Mining (ICDM), 1256-1261, 2020 | 20 | 2020 |
| Discriminatively relabel for partial multi-label learning S He, K Deng, L Li, S Shu, L Liu IEEE International Conference on Data Mining (ICDM), 280-288, 2019 | 20 | 2019 |
| Incorporating multiple cluster centers for multi-label learning S Shu, F Lv, Y Yan, L Li, S He, J He Information Sciences 590, 60-73, 2022 | 14 | 2022 |
| Multiple-Instance Learning from Similar and Dissimilar Bags L Feng, S Shu, Y Cao, L Tao, H Wei, T Xiang, B An, G Niu ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2021 | 14 | 2021 |
| Multi-class classification from single-class data with confidences Y Cao, L Feng, S Shu, Y Xu, B An, G Niu, M Sugiyama arXiv preprint arXiv:2106.08864, 2021 | 4 | 2021 |
| Multiple-instance Learning from Triplet Comparison Bags S Shu, DB Wang, S Yuan, H Wei, J Jiang, L Feng, ML Zhang ACM Transactions on Knowledge Discovery from Data 18 (4), 1-18, 2024 | 2 | 2024 |
| A Generalized Unbiased Risk Estimator for Learning with Augmented Classes S Shu, S He, H Wang, H Wei, T Xiang, L Feng AAAI 37 (8), 9829-9836, 2023 | 2 | 2023 |
| Multiple-instance learning from unlabeled bags with pairwise similarity L Feng, S Shu, Y Cao, L Tao, H Wei, T Xiang, B An, G Niu IEEE Transactions on Knowledge and Data Engineering 35 (11), 11599-11609, 2023 | 2 | 2023 |
| An Unbiased Risk Estimator for Partial Label Learning with Augmented Classes J Hu, S Shu, B Li, T Xiang, Z He ACM Transactions on Intelligent Systems and Technology 15 (6), 1-22, 2024 | | 2024 |
| Multiple-Instance Learning from Pairwise Comparison Bags S Zhou, S Shu, H Wang, H Wei, T Xiang, B Li ACM Transactions on Intelligent Systems and Technology 15 (6), 1-22, 2024 | | 2024 |
| Online binary classification from similar and dissimilar data S Shu, H Wang, Z Wang, B Han, T Xiang, B An, L Feng Machine Learning 113 (6), 3463-3484, 2024 | | 2024 |
| Gemini: A Dual-Task Co-training Model for Partial Label Learning B Li, S Shu, B Jin, T Xiang, Y Zheng Australasian Joint Conference on Artificial Intelligence, 328-340, 2023 | | 2023 |
| Consistent Multi-Class Classification from Multiple Unlabeled Datasets Z Wei, S Shu, Y Cao, H Wei, B An, L Feng The Twelfth International Conference on Learning Representations, 0 | | |
Lei FengSingapore University of Technology and DesignVerified email at sutd.edu.sg
