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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
652021
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
462019
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
232020
Multi-label learning with label enhancement
R Shao, N Xu, X Geng
2018 IEEE International Conference on Data Mining (ICDM), 437-446, 2018
172018
Variational label enhancement
N Xu, J Shu, YP Liu, X Geng
International Conference on Machine Learning, 10597-10606, 2020
152020
Instance-dependent partial label learning
N Xu, C Qiao, X Geng, ML Zhang
Advances in Neural Information Processing Systems 34, 27119-27130, 2021
112021
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
92021
Weakly Supervised Multi-Label Learning via Label Enhancement.
J Lv, N Xu, RY Zheng, X Geng
IJCAI, 3101-3107, 2019
82019
Compact learning for multi-label classification
J Lv, T Wu, C Peng, Y Liu, N Xu, X Geng
Pattern Recognition 113, 107833, 2021
62021
Label enhancement for label distribution learning
X Geng, N Xu, R Shao
Journal of Computer Research and Development 54 (6), 1171-1184, 2017
62017
Label distribution learning and label enhancement
G Xin, XU Ning
Scientia sinica informationis 48 (5), 521-530, 2018
52018
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, 2021
42021
Label distribution for multimodal machine learning
Y Ren, N Xu, M Ling, X Geng
Frontiers of Computer Science 16 (1), 1-11, 2022
22022
Labeling information enhancement for multi-label learning with low-rank subspace
A Tao, N Xu, X Geng
Pacific Rim International Conference on Artificial Intelligence, 671-683, 2018
12018
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
2022
Progressive Purification for Instance-Dependent Partial Label Learning
N Xu, J Lv, B Liu, C Qiao, X Geng
arXiv preprint arXiv:2206.00830, 2022
2022
One Positive Label is Sufficient: Single-Positive Multi-Label Learning with Label Enhancement
N Xu, C Qiao, J Lv, X Geng, ML Zhang
arXiv preprint arXiv:2206.00517, 2022
2022
Decomposition-based Generation Process for Instance-Dependent Partial Label Learning
C Qiao, N Xu, X Geng
arXiv preprint arXiv:2204.03845, 2022
2022
Trusted-Data-Guided Label Enhancement on Noisy Labels
N Xu, JY Li, YP Liu, X Geng
IEEE Transactions on Neural Networks and Learning Systems, 2022
2022
Feature-Induced Label Distribution for Learning with Noisy Labels
M Zhang, N Xu, X Geng
Pattern Recognition Letters 155, 107-113, 2022
2022
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