Ming-Kun Xie

Orcid: 0000-0002-1053-1409

According to our database1, Ming-Kun Xie authored at least 18 papers between 2018 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Robust AUC maximization for classification with pairwise confidence comparisons.
Frontiers Comput. Sci., August, 2024

Dirichlet-Based Prediction Calibration for Learning with Noisy Labels.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Unlocking the Power of Open Set: A New Perspective for Open-Set Noisy Label Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
CCMN: A General Framework for Learning With Class-Conditional Multi-Label Noise.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

Unlocking the Power of Open Set : A New Perspective for Open-set Noisy Label Learning.
CoRR, 2023

Class-Distribution-Aware Pseudo-Labeling for Semi-Supervised Multi-Label Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Multi-Label Knowledge Distillation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Partial Multi-Label Learning With Noisy Label Identification.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Noise-Robust Bidirectional Learning with Dynamic Sample Reweighting.
CoRR, 2022

Meta Objective Guided Disambiguation for Partial Label Learning.
CoRR, 2022

A Deep Model for Partial Multi-Label Image Classification with Curriculum Based Disambiguation.
CoRR, 2022

Label-Aware Global Consistency for Multi-Label Learning with Single Positive Labels.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Multi-Label Learning with Pairwise Relevance Ordering.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Partial Multi-Label Learning with Meta Disambiguation.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020
Semi-Supervised Partial Multi-Label Learning.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019
Learning Class-Conditional GANs with Active Sampling.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018
Active Feature Acquisition with Supervised Matrix Completion.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Partial Multi-Label Learning.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018


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