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Senlin Shu
Senlin Shu
College of Computer Science, Chongqing University, China
Подтвержден адрес электронной почты в домене stu.cqu.edu.cn - Главная страница
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Процитировано
Год
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
1462020
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
242020
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
192019
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
182021
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
142022
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
132021
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
132020
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
32021
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
22023
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
12024
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
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
2023
Consistent Multi-Class Classification from Multiple Unlabeled Datasets
Z Wei, S Shu, Y Cao, H Wei, B An, L Feng
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