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Ning Xu
Ning Xu
School of Computer Science and Engineering, Southeast University, China
Verified email at seu.edu.cn
Title
Cited by
Cited by
Year
Label Enhancement for Label Distribution Learning
N Xu, YP Liu, X Geng
IEEE Transactions on Knowledge and Data Engineering, 2021
2092021
Partial label learning via label enhancement
N Xu, J Lv, X Geng
Proceedings of the AAAI Conference on artificial intelligence 33 (01), 5557-5564, 2019
1122019
Instance-dependent partial label learning
N Xu, C Qiao, X Geng, ML Zhang
Advances in Neural Information Processing Systems 34, 27119-27130, 2021
802021
Variational label enhancement
N Xu, J Shu, YP Liu, X Geng
International conference on machine learning, 10597-10606, 2020
722020
Partial multi-label learning with label distribution
N Xu, YP Liu, X Geng
Proceedings of the AAAI conference on artificial intelligence 34 (04), 6510-6517, 2020
662020
Multi-label learning with label enhancement
R Shao, N Xu, X Geng
2018 IEEE international conference on data mining (ICDM), 437-446, 2018
452018
One positive label is sufficient: Single-positive multi-label learning with label enhancement
N Xu, C Qiao, J Lv, X Geng, ML Zhang
Advances in Neural Information Processing Systems, 21765--21776, 2022
322022
基于局部特征提取的目标自动识别
贾平, 徐宁, 张叶
Optics and Precision Engineering 21 (7), 1898-1905, 2013
312013
On the robustness of average losses for partial-label learning
J Lv, B Liu, L Feng, N Xu, M Xu, B An, G Niu, X Geng, M Sugiyama
IEEE Transactions on Pattern Analysis and Machine Intelligence 46 (5), 2569-2583, 2023
302023
Progressive enhancement of label distributions for partial multilabel learning
N Xu, YP Liu, Y Zhang, X Geng
IEEE Transactions on Neural Networks and Learning Systems 34 (8), 4856-4867, 2021
242021
Weakly Supervised Multi-Label Learning via Label Enhancement.
J Lv, N Xu, RY Zheng, X Geng
IJCAI, 3101-3107, 2019
212019
Learngene: From open-world to your learning task
QF Wang, X Geng, SX Lin, SY Xia, L Qi, N Xu
Proceedings of the AAAI Conference on Artificial Intelligence 36 (8), 8557-8565, 2022
202022
Compact learning for multi-label classification
J Lv, T Wu, C Peng, Y Liu, N Xu, X Geng
Pattern Recognition 113, 107833, 2021
192021
Fast label enhancement for label distribution learning
K Wang, N Xu, M Ling, X Geng
IEEE Transactions on Knowledge and Data Engineering, 2021
182021
Progressive purification for instance-dependent partial label learning
N Xu, B Liu, J Lv, C Qiao, X Geng
International Conference on Machine Learning, 38551-38565, 2023
172023
Towards effective visual representations for partial-label learning
S Xia, J Lv, N Xu, G Niu, X Geng
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
172023
Label distribution for multimodal machine learning
Y Ren, N Xu, M Ling, X Geng
Frontiers of Computer Science 16, 1-11, 2022
172022
Fusion Label Enhancement for Multi-Label Learning.
X Zhao, Y An, N Xu, X Geng
IJCAI, 3773-3779, 2022
162022
Trusted-data-guided label enhancement on noisy labels
N Xu, JY Li, YP Liu, X Geng
IEEE Transactions on Neural Networks and Learning Systems 34 (12), 9940-9951, 2022
162022
Label distribution for learning with noisy labels
YP Liu, N Xu, Y Zhang, X Geng
Proceedings of the Twenty-Ninth International Conference on International …, 2021
162021
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