default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDChaoqun Li 0001
Person information
- affiliation: China University of Geosciences, School of Mathematics and Physics, Wuhan, China
Other persons with the same name
- Chaoqun Li — disambiguation page
- Chaoqun Li 0002
![[0000-0002-6720-9445]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-6720-9445")
— Shihezi University, College of Information Science and Technology, China - Chaoqun Li 0003 — Northwest A&F University, College of Mechanical and Electronic Engineering, Shaanxi, China (and 1 more)
- Chaoqun Li 0004 — Handan University, Hebei Key Laboratory of Heterocyclic Compounds, College of Chemistry, China
- Chaoqun Li 0005 — Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China (and 1 more)
- Chaoqun Li 0006 — PLA Army Engineering University, Department of Basic Education, Nanjing, China
- Chaoqun Li 0007 (aka: ChaoQun Li 0007) — University of Electronic Science and Technology of China, ChengDu, China
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
Journal Articles
- 2025
[j60]Can Pan, Liangxiao Jiang, Chaoqun Li:
Three-way decision-based label integration for crowdsourcing. Pattern Recognit. 158: 111034 (2025)- 2024
- [j59]Lijuan Ren, Liangxiao Jiang, Wenjun Zhang, Chaoqun Li:
Label distribution similarity-based noise correction for crowdsourcing. Frontiers Comput. Sci. 18(5): 185323 (2024) - [j58]Yao Zhang, Liangxiao Jiang, Chaoqun Li:
Instance redistribution-based label integration for crowdsourcing. Inf. Sci. 674: 120702 (2024) - [j57]Huiru Li, Liangxiao Jiang, Chaoqun Li:
Certainty weighted voting-based noise correction for crowdsourcing. Pattern Recognit. 150: 110325 (2024) - 2023
- [j56]Wenjun Yang, Chaoqun Li, Liangxiao Jiang:
Learning from crowds with robust support vector machines. Sci. China Inf. Sci. 66(3) (2023) - [j55]Lijuan Ren, Liangxiao Jiang, Chaoqun Li:
Label confidence-based noise correction for crowdsourcing. Eng. Appl. Artif. Intell. 117(Part): 105624 (2023) - [j54]Yufei Hu, Liangxiao Jiang, Chaoqun Li:
Instance difficulty-based noise correction for crowdsourcing. Expert Syst. Appl. 212: 118794 (2023) - [j53]Yao Zhang, Liangxiao Jiang, Chaoqun Li:
Attribute augmentation-based label integration for crowdsourcing. Frontiers Comput. Sci. 17(5): 175331 (2023) - [j52]Xue Wu, Liangxiao Jiang, Wenjun Zhang, Chaoqun Li:
Three-way decision-based noise correction for crowdsourcing. Int. J. Approx. Reason. 160: 108973 (2023) - [j51]Xinyang Li, Chaoqun Li, Liangxiao Jiang:
A multi-view-based noise correction algorithm for crowdsourcing learning. Inf. Fusion 91: 529-541 (2023) - [j50]Wenbin Li, Chaoqun Li, Liangxiao Jiang:
Learning from crowds with robust logistic regression. Inf. Sci. 639: 119010 (2023) - [j49]Huan Zhang, Liangxiao Jiang, Wenjun Zhang, Chaoqun Li:
Multi-View Attribute Weighted Naive Bayes. IEEE Trans. Knowl. Data Eng. 35(7): 7291-7302 (2023) - 2022
- [j48]Ben Ma, Chaoqun Li, Liangxiao Jiang:
A novel ground truth inference algorithm based on instance similarity for crowdsourcing learning. Appl. Intell. 52(15): 17784-17796 (2022) - [j47]Huan Zhang, Liangxiao Jiang, Chaoqun Li:
Attribute augmented and weighted naive Bayes. Sci. China Inf. Sci. 65(12) (2022) - [j46]Ziqi Chen, Liangxiao Jiang, Chaoqun Li:
Label distribution-based noise correction for multiclass crowdsourcing. Int. J. Intell. Syst. 37(9): 5752-5767 (2022) - [j45]Yu Dong, Liangxiao Jiang, Chaoqun Li:
Improving data and model quality in crowdsourcing using co-training-based noise correction. Inf. Sci. 583: 174-188 (2022) - [j44]Ziqi Chen, Liangxiao Jiang, Chaoqun Li:
Label augmented and weighted majority voting for crowdsourcing. Inf. Sci. 606: 397-409 (2022) - [j43]Wenjun Yang, Chaoqun Li, Liangxiao Jiang:
Learning from crowds with decision trees. Knowl. Inf. Syst. 64(8): 2123-2140 (2022) - [j42]Liangxiao Jiang, Hao Zhang, Fangna Tao, Chaoqun Li:
Learning From Crowds With Multiple Noisy Label Distribution Propagation. IEEE Trans. Neural Networks Learn. Syst. 33(11): 6558-6568 (2022) - 2021
- [j41]Long Chen, Liangxiao Jiang, Chaoqun Li:
Using modified term frequency to improve term weighting for text classification. Eng. Appl. Artif. Intell. 101: 104215 (2021) - [j40]Fangna Tao, Liangxiao Jiang, Chaoqun Li:
Differential evolution-based weighted soft majority voting for crowdsourcing. Eng. Appl. Artif. Intell. 106: 104474 (2021) - [j39]Long Chen, Liangxiao Jiang, Chaoqun Li:
Modified DFS-based term weighting scheme for text classification. Expert Syst. Appl. 168: 114438 (2021) - [j38]Huan Zhang, Liangxiao Jiang, Chaoqun Li:
CS-ResNet: Cost-sensitive residual convolutional neural network for PCB cosmetic defect detection. Expert Syst. Appl. 185: 115673 (2021) - [j37]Wenqiang Xu, Liangxiao Jiang, Chaoqun Li:
Improving data and model quality in crowdsourcing using cross-entropy-based noise correction. Inf. Sci. 546: 803-814 (2021) - [j36]Wenqiang Xu, Liangxiao Jiang, Chaoqun Li:
Resampling-based noise correction for crowdsourcing. J. Exp. Theor. Artif. Intell. 33(6): 985-999 (2021) - [j35]Huan Zhang, Liangxiao Jiang, Chaoqun Li:
Collaboratively weighted naive Bayes. Knowl. Inf. Syst. 63(12): 3159-3182 (2021) - [j34]Wenjun Yang, Chaoqun Li:
Improving crowd labeling using Stackelberg models. Int. J. Mach. Learn. Cybern. 12(6): 1825-1838 (2021) - [j33]Liangxiao Jiang, Ganggang Kong, Chaoqun Li:
Wrapper Framework for Test-Cost-Sensitive Feature Selection. IEEE Trans. Syst. Man Cybern. Syst. 51(3): 1747-1756 (2021) - 2020
- [j32]Shufen Ruan, Hongwei Li, Chaoqun Li, Kunfang Song:
Class-Specific Deep Feature Weighting for Naïve Bayes Text Classifiers. IEEE Access 8: 20151-20159 (2020) - [j31]Fangna Tao, Liangxiao Jiang, Chaoqun Li:
Label similarity-based weighted soft majority voting and pairing for crowdsourcing. Knowl. Inf. Syst. 62(7): 2521-2538 (2020) - 2019
- [j30]Chaoqun Li, Liangxiao Jiang, Wenqiang Xu:
Noise correction to improve data and model quality for crowdsourcing. Eng. Appl. Artif. Intell. 82: 184-191 (2019) - [j29]Liangxiao Jiang, Chaoqun Li:
Two improved attribute weighting schemes for value difference metric. Knowl. Inf. Syst. 60(2): 949-970 (2019) - [j28]Lungan Zhang, Liangxiao Jiang, Chaoqun Li:
A discriminative model selection approach and its application to text classification. Neural Comput. Appl. 31(4): 1173-1187 (2019) - [j27]Liangxiao Jiang, Lungan Zhang, Chaoqun Li, Jia Wu:
A Correlation-Based Feature Weighting Filter for Naive Bayes. IEEE Trans. Knowl. Data Eng. 31(2): 201-213 (2019) - 2017
- [j26]Chen Qiu, Liangxiao Jiang, Chaoqun Li:
Randomly selected decision tree for test-cost sensitive learning. Appl. Soft Comput. 53: 27-33 (2017) - [j25]Chaoqun Li, Liangxiao Jiang, Hongwei Li, Jia Wu, Peng Zhang:
Toward value difference metric with attribute weighting. Knowl. Inf. Syst. 50(3): 795-825 (2017) - 2016
- [j24]Liangxiao Jiang, Chaoqun Li, Shasha Wang, Lungan Zhang:
Deep feature weighting for naive Bayes and its application to text classification. Eng. Appl. Artif. Intell. 52: 26-39 (2016) - [j23]Lungan Zhang, Liangxiao Jiang, Chaoqun Li:
A New Feature Selection Approach to Naive Bayes Text Classifiers. Int. J. Pattern Recognit. Artif. Intell. 30(2): 1650003:1-1650003:17 (2016) - [j22]Liangxiao Jiang, Shasha Wang, Chaoqun Li, Lungan Zhang:
Structure extended multinomial naive Bayes. Inf. Sci. 329: 346-356 (2016) - [j21]Lungan Zhang, Liangxiao Jiang, Chaoqun Li, Ganggang Kong:
Two feature weighting approaches for naive Bayes text classifiers. Knowl. Based Syst. 100: 137-144 (2016) - [j20]Chaoqun Li, Victor S. Sheng, Liangxiao Jiang, Hongwei Li:
Noise filtering to improve data and model quality for crowdsourcing. Knowl. Based Syst. 107: 96-103 (2016) - [j19]Ganggang Kong, Liangxiao Jiang, Chaoqun Li:
Beyond accuracy: Learning selective Bayesian classifiers with minimal test cost. Pattern Recognit. Lett. 80: 165-171 (2016) - 2015
- [j18]Chen Qiu, Liangxiao Jiang, Chaoqun Li:
Not always simple classification: Learning SuperParent for class probability estimation. Expert Syst. Appl. 42(13): 5433-5440 (2015) - [j17]Liangxiao Jiang, Chen Qiu, Chaoqun Li:
A Novel Minority Cloning Technique for Cost-Sensitive Learning. Int. J. Pattern Recognit. Artif. Intell. 29(4): 1551004:1-1551004:18 (2015) - [j16]Shasha Wang, Liangxiao Jiang, Chaoqun Li:
Adapting naive Bayes tree for text classification. Knowl. Inf. Syst. 44(1): 77-89 (2015) - 2014
- [j15]Chaoqun Li, Liangxiao Jiang, Hongwei Li:
Naive Bayes for value difference metric. Frontiers Comput. Sci. 8(2): 255-264 (2014) - [j14]Liangxiao Jiang, Chaoqun Li, Harry Zhang, Zhihua Cai:
A Novel Distance Function: frequency difference Metric. Int. J. Pattern Recognit. Artif. Intell. 28(2) (2014) - [j13]Liangxiao Jiang, Chaoqun Li, Shasha Wang:
Cost-sensitive Bayesian network classifiers. Pattern Recognit. Lett. 45: 211-216 (2014) - [j12]Chaoqun Li, Liangxiao Jiang, Hongwei Li:
Local value difference metric. Pattern Recognit. Lett. 49: 62-68 (2014) - 2013
- [j11]Chaoqun Li, Hongwei Li:
Selective Value Difference Metric. J. Comput. 8(9): 2232-2238 (2013) - [j10]Chaoqun Li, Hongwei Li:
Bayesian network classifiers for probability-based metrics. J. Exp. Theor. Artif. Intell. 25(4): 477-491 (2013) - [j9]Liangxiao Jiang, Chaoqun Li:
An Augmented Value Difference Measure. Pattern Recognit. Lett. 34(10): 1169-1174 (2013) - 2012
- [j8]Chaoqun Li, Hongwei Li:
A Modified Short and Fukunaga Metric based on the attribute independence assumption. Pattern Recognit. Lett. 33(9): 1213-1218 (2012) - 2011
- [j7]Liangxiao Jiang, Chaoqun Li:
Scaling Up the Accuracy of Decision-Tree Classifiers: A Naive-Bayes Combination. J. Comput. 6(7): 1325-1331 (2011) - [j6]Liangxiao Jiang, Chaoqun Li:
An Empirical Study on Class Probability Estimates in Decision Tree Learning. J. Softw. 6(7): 1368-1373 (2011) - [j5]Chaoqun Li, Hongwei Li:
One Dependence Value Difference Metric. Knowl. Based Syst. 24(5): 589-594 (2011) - 2010
- [j4]Chaoqun Li, Hongwei Li:
An Improved Instance Weighted Linear Regression. J. Convergence Inf. Technol. 5(3): 122-128 (2010) - [j3]Chaoqun Li, Hongwei Li:
A Survey of Distance Metrics for Nominal Attributes. J. Softw. 5(11): 1262-1269 (2010) - 2009
- [j2]Liangxiao Jiang, Chaoqun Li, Zhihua Cai:
Decision Tree with Better Class Probability Estimation. Int. J. Pattern Recognit. Artif. Intell. 23(4): 745-763 (2009) - [j1]Liangxiao Jiang, Chaoqun Li, Zhihua Cai:
Learning decision tree for ranking. Knowl. Inf. Syst. 20(1): 123-135 (2009)
Conference and Workshop Papers
- 2016
- [c6]Lungan Zhang, Liangxiao Jiang, Chaoqun Li:
C4.5 or Naive Bayes: A Discriminative Model Selection Approach. ICANN (1) 2016: 419-426 - 2014
- [c5]Shasha Wang, Liangxiao Jiang, Chaoqun Li:
A CFS-Based Feature Weighting Approach to Naive Bayes Text Classifiers. ICANN 2014: 555-562 - 2013
- [c4]Liangxiao Jiang, Chaoqun Li, Zhihua Cai, Harry Zhang:
Sampled Bayesian Network Classifiers for Class-Imbalance and Cost-Sensitive Learning. ICTAI 2013: 512-517 - [c3]Chaoqun Li, Liangxiao Jiang, Hongwei Li, Shasha Wang:
Attribute Weighted Value Difference Metric. ICTAI 2013: 575-580 - 2008
- [c2]Liangxiao Jiang, Chaoqun Li, Jia Wu, Jian Zhu:
A Combined Classification Algorithm Based on C4.5 and NB. ISICA 2008: 350-359 - 2006
- [c1]Chaoqun Li, Liangxiao Jiang:
Using Locally Weighted Learning to Improve SMOreg for Regression. PRICAI 2006: 375-384
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 2024-10-25 21:14 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:
