Ning Xu

Orcid: 0000-0001-8336-5926

Affiliations:
  • Southeast University, School of Computer Science and Engineering, MOE Key Laboratory of Computer Network and Information Integration, Nanjing, China


According to our database1, Ning Xu authored at least 34 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2023
Trusted-Data-Guided Label Enhancement on Noisy Labels.
IEEE Trans. Neural Networks Learn. Syst., December, 2023

Multi-View Partial Multi-Label Learning via Graph-Fusion-Based Label Enhancement.
IEEE Trans. Knowl. Data Eng., November, 2023

Progressive Enhancement of Label Distributions for Partial Multilabel Learning.
IEEE Trans. Neural Networks Learn. Syst., August, 2023

Variational Label Enhancement.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

Fast Label Enhancement for Label Distribution Learning.
IEEE Trans. Knowl. Data Eng., 2023

Continuous label distribution learning.
Pattern Recognit., 2023

Variational Label-Correlation Enhancement for Congestion Prediction.
CoRR, 2023

Learning From Biased Soft Labels.
CoRR, 2023

Unreliable Partial Label Learning with Recursive Separation.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

FREDIS: A Fusion Framework of Refinement and Disambiguation for Unreliable Partial Label Learning.
Proceedings of the International Conference on Machine Learning, 2023

Revisiting Pseudo-Label for Single-Positive Multi-Label Learning.
Proceedings of the International Conference on Machine Learning, 2023

Progressive Purification for Instance-Dependent Partial Label Learning.
Proceedings of the International Conference on Machine Learning, 2023

Decompositional Generation Process for Instance-Dependent Partial Label Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Towards Effective Visual Representations for Partial-Label Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Imbalanced Label Distribution Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Feature-Induced Label Distribution for Learning with Noisy Labels.
Pattern Recognit. Lett., 2022

Label distribution for multimodal machine learning.
Frontiers Comput. Sci., 2022

Decomposition-based Generation Process for Instance-Dependent Partial Label Learning.
CoRR, 2022

One Positive Label is Sufficient: Single-Positive Multi-Label Learning with Label Enhancement.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Ambiguity-Induced Contrastive Learning for Instance-Dependent Partial Label Learning.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Fusion Label Enhancement for Multi-Label Learning.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Learngene: From Open-World to Your Learning Task.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Label Enhancement for Label Distribution Learning.
IEEE Trans. Knowl. Data Eng., 2021

Compact learning for multi-label classification.
Pattern Recognit., 2021

Instance-Dependent Partial Label Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Video Summarization via Label Distributions Dual-Reward.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020
Label Distribution for Learning with Noisy Labels.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Variational Label Enhancement.
Proceedings of the 37th International Conference on Machine Learning, 2020

Partial Multi-Label Learning with Label Distribution.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Weakly Supervised Multi-Label Learning via Label Enhancement.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Partial Label Learning via Label Enhancement.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Labeling Information Enhancement for Multi-label Learning with Low-Rank Subspace.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Label Enhancement for Label Distribution Learning.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Multi-label Learning with Label Enhancement.
Proceedings of the IEEE International Conference on Data Mining, 2018


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