default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDMing-Kun Xie
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[j5]Haochen Shi, Ming-Kun Xie, Shengjun Huang:
Robust AUC maximization for classification with pairwise confidence comparisons. Frontiers Comput. Sci. 18(4) (2024)- [j4]Feng Sun, Ming-Kun Xie, Sheng-Jun Huang
:
A Deep Model for Partial Multi-label Image Classification with Curriculum-based Disambiguation. Mach. Intell. Res. 21(4): 801-814 (2024) - [j3]Jia-Yao Chen, Shao-Yuan Li, Sheng-Jun Huang, Songcan Chen, Lei Wang, Ming-Kun Xie:
UNM: A Universal Approach for Noisy Multi-Label Learning. IEEE Trans. Knowl. Data Eng. 36(9): 4968-4980 (2024) - [c15]Wenhai Wan, Xinrui Wang, Ming-Kun Xie, Shao-Yuan Li, Sheng-Jun Huang, Songcan Chen:
Unlocking the Power of Open Set: A New Perspective for Open-Set Noisy Label Learning. AAAI 2024: 15438-15446 - [c14]Chen-Chen Zong, Ye-Wen Wang, Ming-Kun Xie, Sheng-Jun Huang:
Dirichlet-Based Prediction Calibration for Learning with Noisy Labels. AAAI 2024: 17254-17262 - [c13]Ye-Wen Wang, Chen-Chen Zong, Ming-Kun Xie, Sheng-Jun Huang:
Dirichlet-Based Coarse-to-Fine Example Selection For Open-Set Annotation. ICME 2024: 1-6 - [c12]Ming-Kun Xie, Jiahao Xiao, Pei Peng, Gang Niu, Masashi Sugiyama, Sheng-Jun Huang:
Counterfactual Reasoning for Multi-Label Image Classification via Patching-Based Training. ICML 2024 - [c11]Hao-Zhe Liu, Ming-Kun Xie, Chen-Chen Zong, Sheng-Jun Huang:
Asymmetric Beta Loss for Evidence-Based Safe Semi-Supervised Multi-Label Learning. KDD 2024: 1909-1920 - [i11]Chen-Chen Zong, Ye-Wen Wang, Ming-Kun Xie, Sheng-Jun Huang:
Dirichlet-Based Prediction Calibration for Learning with Noisy Labels. CoRR abs/2401.07062 (2024) - [i10]Ming-Kun Xie, Jiahao Xiao, Pei Peng, Gang Niu, Masashi Sugiyama, Sheng-Jun Huang:
Counterfactual Reasoning for Multi-Label Image Classification via Patching-Based Training. CoRR abs/2404.06287 (2024) - [i9]Jiahao Xiao, Ming-Kun Xie, Heng-Bo Fan, Gang Niu, Masashi Sugiyama, Sheng-Jun Huang:
Dual-Decoupling Learning and Metric-Adaptive Thresholding for Semi-Supervised Multi-Label Learning. CoRR abs/2407.18624 (2024) - 2023
- [j2]Ming-Kun Xie, Sheng-Jun Huang:
CCMN: A General Framework for Learning With Class-Conditional Multi-Label Noise. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 154-166 (2023) - [c10]Penghui Yang, Ming-Kun Xie, Chen-Chen Zong, Lei Feng, Gang Niu, Masashi Sugiyama, Sheng-Jun Huang:
Multi-Label Knowledge Distillation. ICCV 2023: 17225-17234 - [c9]Ming-Kun Xie, Jiahao Xiao, Hao-Zhe Liu, Gang Niu, Masashi Sugiyama, Sheng-Jun Huang:
Class-Distribution-Aware Pseudo-Labeling for Semi-Supervised Multi-Label Learning. NeurIPS 2023 - [i8]Ming-Kun Xie, Jiahao Xiao, Hao-Zhe Liu, Gang Niu, Masashi Sugiyama, Sheng-Jun Huang:
Class-Distribution-Aware Pseudo Labeling for Semi-Supervised Multi-Label Learning. CoRR abs/2305.02795 (2023) - [i7]Wenhai Wan, Xinrui Wang, Ming-Kun Xie, Shengjun Huang, Songcan Chen, Shaoyuan Li:
Unlocking the Power of Open Set : A New Perspective for Open-set Noisy Label Learning. CoRR abs/2305.04203 (2023) - [i6]Penghui Yang, Ming-Kun Xie, Chen-Chen Zong, Lei Feng, Gang Niu, Masashi Sugiyama, Sheng-Jun Huang:
Multi-Label Knowledge Distillation. CoRR abs/2308.06453 (2023) - 2022
- [j1]Ming-Kun Xie, Sheng-Jun Huang:
Partial Multi-Label Learning With Noisy Label Identification. IEEE Trans. Pattern Anal. Mach. Intell. 44(7): 3676-3687 (2022) - [c8]Ming-Kun Xie, Jiahao Xiao, Sheng-Jun Huang:
Label-Aware Global Consistency for Multi-Label Learning with Single Positive Labels. NeurIPS 2022 - [i5]Feng Sun, Ming-Kun Xie, Sheng-Jun Huang:
A Deep Model for Partial Multi-Label Image Classification with Curriculum Based Disambiguation. CoRR abs/2207.02410 (2022) - [i4]Bo-Shi Zou, Ming-Kun Xie, Sheng-Jun Huang:
Meta Objective Guided Disambiguation for Partial Label Learning. CoRR abs/2208.12459 (2022) - [i3]Chen-Chen Zong, Zheng-Tao Cao, Hong-Tao Guo, Yun Du, Ming-Kun Xie, Shao-Yuan Li, Sheng-Jun Huang:
Noise-Robust Bidirectional Learning with Dynamic Sample Reweighting. CoRR abs/2209.01334 (2022) - 2021
- [c7]Ming-Kun Xie, Feng Sun, Sheng-Jun Huang:
Partial Multi-Label Learning with Meta Disambiguation. KDD 2021: 1904-1912 - [c6]Ming-Kun Xie, Sheng-Jun Huang:
Multi-Label Learning with Pairwise Relevance Ordering. NeurIPS 2021: 23545-23556 - [i2]Ming-Kun Xie, Sheng-Jun Huang:
CCMN: A General Framework for Learning with Class-Conditional Multi-Label Noise. CoRR abs/2105.07338 (2021) - 2020
- [c5]Ming-Kun Xie, Sheng-Jun Huang:
Partial Multi-Label Learning with Noisy Label Identification. AAAI 2020: 6454-6461 - [c4]Ming-Kun Xie, Sheng-Jun Huang:
Semi-Supervised Partial Multi-Label Learning. ICDM 2020: 691-700
2010 – 2019
- 2019
- [c3]Ming-Kun Xie, Sheng-Jun Huang:
Learning Class-Conditional GANs with Active Sampling. KDD 2019: 998-1006 - 2018
- [c2]Ming-Kun Xie, Sheng-Jun Huang:
Partial Multi-Label Learning. AAAI 2018: 4302-4309 - [c1]Sheng-Jun Huang, Miao Xu, Ming-Kun Xie, Masashi Sugiyama, Gang Niu, Songcan Chen:
Active Feature Acquisition with Supervised Matrix Completion. KDD 2018: 1571-1579 - [i1]Sheng-Jun Huang, Miao Xu, Ming-Kun Xie, Masashi Sugiyama, Gang Niu, Songcan Chen:
Active Feature Acquisition with Supervised Matrix Completion. CoRR abs/1802.05380 (2018)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-08 21:27 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
