Senlin Shu
Senlin Shu
College of Computer Science, Chongqing University, China
Verified email at
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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
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
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
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
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
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
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
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
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, 2023
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