Chaoqun Li

81 papers A* 4A 1B 3C 1Journal 70Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Category-aware dual graph disentanglement with multi-task learning for session-based recommendation.
Appl. Soft Comput.
Hongxia Ye, Chaoqun Li, Liangxiao Jiang
2026 J jnl
Cross-session interest extraction for recommendation.
Expert Syst. Appl.
Jin Jin, Chaoqun Li, Liangxiao Jiang
2026 J jnl
Invisible poisoning attack on recommender systems based on multi-view uniformity.
Inf. Sci.
Sijian Huang, Chaoqun Li, Liangxiao Jiang
2026 J jnl
Sign-aware recommendation based on mixed-path aggregation.
Pattern Recognit.
Mengtian Ye, Sijian Huang, Chaoqun Li
2025 J jnl
ELDP: Enhanced Label Distribution Propagation for Crowdsourcing.
IEEE Trans. Pattern Anal. Mach. Intell.
Wenjun Zhang, Liangxiao Jiang, Chaoqun Li
2025 J jnl
Intent-aware Recommendation Based on Principal Component Analysis.
ACM Trans. Knowl. Discov. Data
Yuyan Ai, Chaoqun Li, Liangxiao Jiang
2025 A* conf
Label Distribution Propagation-based Label Completion for Crowdsourcing.
ICML
Tong Wu, Liangxiao Jiang, Wenjun Zhang, Chaoqun Li
2025 J jnl
Learning From Crowds by Class-Specific Instance Weighting.
IEEE Trans. Emerg. Top. Comput. Intell.
Qiang Ji, Liangxiao Jiang, Wenjun Zhang, Chaoqun Li
2025 A* conf
TLLC: Transfer Learning-based Label Completion for Crowdsourcing.
ICML
Wenjun Zhang, Liangxiao Jiang, Chaoqun Li
2025 J jnl
Three-way decision-based label integration for crowdsourcing.
Pattern Recognit.
Can Pan, Liangxiao Jiang, Chaoqun Li
2025 J jnl
Worker Similarity-Based Label Completion for Crowdsourcing.
IEEE Trans. Big Data
Xue Wu, Liangxiao Jiang, Wenjun Zhang, Chaoqun Li
2024 J jnl
Certainty weighted voting-based noise correction for crowdsourcing.
Pattern Recognit.
Huiru Li, Liangxiao Jiang, Chaoqun Li
2024 J jnl
FNNWV: farthest-nearest neighbor-based weighted voting for class-imbalanced crowdsourcing.
Sci. China Inf. Sci.
Wenjun Zhang, Liangxiao Jiang, Ziqi Chen, Chaoqun Li
2024 A* conf
IWBVT: Instance Weighting-based Bias-Variance Trade-off for Crowdsourcing.
NeurIPS
Wenjun Zhang, Liangxiao Jiang, Chaoqun Li
2024 J jnl
Instance redistribution-based label integration for crowdsourcing.
Inf. Sci.
Yao Zhang, Liangxiao Jiang, Chaoqun Li
2024 A* conf
KFNN: K-Free Nearest Neighbor For Crowdsourcing.
NeurIPS
Wenjun Zhang, Liangxiao Jiang, Chaoqun Li
2024 A conf
Label Consistency-based Worker Filtering for Crowdsourcing.
UAI
Jiao Li, Liangxiao Jiang, Chaoqun Li, Wenjun Zhang
2024 J jnl
Label distribution similarity-based noise correction for crowdsourcing.
Frontiers Comput. Sci.
Lijuan Ren, Liangxiao Jiang, Wenjun Zhang, Chaoqun Li
2024 J jnl
Weighted Adversarial Learning From Crowds.
IEEE Trans. Serv. Comput.
Ziqi Chen, Liangxiao Jiang, Wenjun Zhang, Chaoqun Li
2023 J jnl
A multi-view-based noise correction algorithm for crowdsourcing learning.
Inf. Fusion
Xinyang Li, Chaoqun Li, Liangxiao Jiang
2023 J jnl
Attribute augmentation-based label integration for crowdsourcing.
Frontiers Comput. Sci.
Yao Zhang, Liangxiao Jiang, Chaoqun Li
2023 J jnl
Instance difficulty-based noise correction for crowdsourcing.
Expert Syst. Appl.
Yufei Hu, Liangxiao Jiang, Chaoqun Li
2023 J jnl
Label confidence-based noise correction for crowdsourcing.
Eng. Appl. Artif. Intell.
Lijuan Ren, Liangxiao Jiang, Chaoqun Li
2023 J jnl
Learning from crowds with robust logistic regression.
Inf. Sci.
Wenbin Li, Chaoqun Li, Liangxiao Jiang
2023 J jnl
Learning from crowds with robust support vector machines.
Sci. China Inf. Sci.
Wenjun Yang, Chaoqun Li, Liangxiao Jiang
2023 J jnl
Multi-View Attribute Weighted Naive Bayes.
IEEE Trans. Knowl. Data Eng.
Huan Zhang, Liangxiao Jiang, Wenjun Zhang, Chaoqun Li
2023 J jnl
Three-way decision-based noise correction for crowdsourcing.
Int. J. Approx. Reason.
Xue Wu, Liangxiao Jiang, Wenjun Zhang, Chaoqun Li
2022 J jnl
A novel ground truth inference algorithm based on instance similarity for crowdsourcing learning.
Appl. Intell.
Ben Ma, Chaoqun Li, Liangxiao Jiang
2022 J jnl
Attribute augmented and weighted naive Bayes.
Sci. China Inf. Sci.
Huan Zhang, Liangxiao Jiang, Chaoqun Li
2022 J jnl
Improving data and model quality in crowdsourcing using co-training-based noise correction.
Inf. Sci.
Yu Dong, Liangxiao Jiang, Chaoqun Li
2022 J jnl
Label augmented and weighted majority voting for crowdsourcing.
Inf. Sci.
Ziqi Chen, Liangxiao Jiang, Chaoqun Li
2022 J jnl
Label distribution-based noise correction for multiclass crowdsourcing.
Int. J. Intell. Syst.
Ziqi Chen, Liangxiao Jiang, Chaoqun Li
2022 J jnl
Learning From Crowds With Multiple Noisy Label Distribution Propagation.
IEEE Trans. Neural Networks Learn. Syst.
Liangxiao Jiang, Hao Zhang, Fangna Tao, Chaoqun Li
2022 J jnl
Learning from crowds with decision trees.
Knowl. Inf. Syst.
Wenjun Yang, Chaoqun Li, Liangxiao Jiang
2021 J jnl
CS-ResNet: Cost-sensitive residual convolutional neural network for PCB cosmetic defect detection.
Expert Syst. Appl.
Huan Zhang, Liangxiao Jiang, Chaoqun Li
2021 J jnl
Collaboratively weighted naive Bayes.
Knowl. Inf. Syst.
Huan Zhang, Liangxiao Jiang, Chaoqun Li
2021 J jnl
Differential evolution-based weighted soft majority voting for crowdsourcing.
Eng. Appl. Artif. Intell.
Fangna Tao, Liangxiao Jiang, Chaoqun Li
2021 J jnl
Improving crowd labeling using Stackelberg models.
Int. J. Mach. Learn. Cybern.
Wenjun Yang, Chaoqun Li
2021 J jnl
Improving data and model quality in crowdsourcing using cross-entropy-based noise correction.
Inf. Sci.
Wenqiang Xu, Liangxiao Jiang, Chaoqun Li
2021 J jnl
Modified DFS-based term weighting scheme for text classification.
Expert Syst. Appl.
Long Chen, Liangxiao Jiang, Chaoqun Li
2021 J jnl
Resampling-based noise correction for crowdsourcing.
J. Exp. Theor. Artif. Intell.
Wenqiang Xu, Liangxiao Jiang, Chaoqun Li
2021 J jnl
Using modified term frequency to improve term weighting for text classification.
Eng. Appl. Artif. Intell.
Long Chen, Liangxiao Jiang, Chaoqun Li
2021 J jnl
Wrapper Framework for Test-Cost-Sensitive Feature Selection.
IEEE Trans. Syst. Man Cybern. Syst.
Liangxiao Jiang, Ganggang Kong, Chaoqun Li
2020 J jnl
Class-Specific Deep Feature Weighting for Naïve Bayes Text Classifiers.
IEEE Access
Shufen Ruan, Hongwei Li, Chaoqun Li, Kunfang Song
2020 J jnl
Label similarity-based weighted soft majority voting and pairing for crowdsourcing.
Knowl. Inf. Syst.
Fangna Tao, Liangxiao Jiang, Chaoqun Li
2019 J jnl
A Correlation-Based Feature Weighting Filter for Naive Bayes.
IEEE Trans. Knowl. Data Eng.
Liangxiao Jiang, Lungan Zhang, Chaoqun Li, Jia Wu
2019 J jnl
A discriminative model selection approach and its application to text classification.
Neural Comput. Appl.
Lungan Zhang, Liangxiao Jiang, Chaoqun Li
2019 J jnl
Noise correction to improve data and model quality for crowdsourcing.
Eng. Appl. Artif. Intell.
Chaoqun Li, Liangxiao Jiang, Wenqiang Xu
2019 J jnl
Two improved attribute weighting schemes for value difference metric.
Knowl. Inf. Syst.
Liangxiao Jiang, Chaoqun Li
2017 J jnl
Randomly selected decision tree for test-cost sensitive learning.
Appl. Soft Comput.
Chen Qiu, Liangxiao Jiang, Chaoqun Li
2017 J jnl
Toward value difference metric with attribute weighting.
Knowl. Inf. Syst.
Chaoqun Li, Liangxiao Jiang, Hongwei Li, Jia Wu, Peng Zhang
2016 J jnl
A New Feature Selection Approach to Naive Bayes Text Classifiers.
Int. J. Pattern Recognit. Artif. Intell.
Lungan Zhang, Liangxiao Jiang, Chaoqun Li
2016 J jnl
Beyond accuracy: Learning selective Bayesian classifiers with minimal test cost.
Pattern Recognit. Lett.
Ganggang Kong, Liangxiao Jiang, Chaoqun Li
2016 — conf
C4.5 or Naive Bayes: A Discriminative Model Selection Approach.
ICANN (1)
Lungan Zhang, Liangxiao Jiang, Chaoqun Li
2016 J jnl
Deep feature weighting for naive Bayes and its application to text classification.
Eng. Appl. Artif. Intell.
Liangxiao Jiang, Chaoqun Li, Shasha Wang, Lungan Zhang
2016 J jnl
Noise filtering to improve data and model quality for crowdsourcing.
Knowl. Based Syst.
Chaoqun Li, Victor S. Sheng, Liangxiao Jiang, Hongwei Li
2016 J jnl
Structure extended multinomial naive Bayes.
Inf. Sci.
Liangxiao Jiang, Shasha Wang, Chaoqun Li, Lungan Zhang
2016 J jnl
Two feature weighting approaches for naive Bayes text classifiers.
Knowl. Based Syst.
Lungan Zhang, Liangxiao Jiang, Chaoqun Li, Ganggang Kong
2015 J jnl
A Novel Minority Cloning Technique for Cost-Sensitive Learning.
Int. J. Pattern Recognit. Artif. Intell.
Liangxiao Jiang, Chen Qiu, Chaoqun Li
2015 J jnl
Adapting naive Bayes tree for text classification.
Knowl. Inf. Syst.
Shasha Wang, Liangxiao Jiang, Chaoqun Li
2015 J jnl
Not always simple classification: Learning SuperParent for class probability estimation.
Expert Syst. Appl.
Chen Qiu, Liangxiao Jiang, Chaoqun Li
2014 C conf
A CFS-Based Feature Weighting Approach to Naive Bayes Text Classifiers.
ICANN
Shasha Wang, Liangxiao Jiang, Chaoqun Li
2014 J jnl
A Novel Distance Function: frequency difference Metric.
Int. J. Pattern Recognit. Artif. Intell.
Liangxiao Jiang, Chaoqun Li, Harry Zhang, Zhihua Cai
2014 J jnl
Cost-sensitive Bayesian network classifiers.
Pattern Recognit. Lett.
Liangxiao Jiang, Chaoqun Li, Shasha Wang
2014 J jnl
Local value difference metric.
Pattern Recognit. Lett.
Chaoqun Li, Liangxiao Jiang, Hongwei Li
2014 J jnl
Naive Bayes for value difference metric.
Frontiers Comput. Sci.
Chaoqun Li, Liangxiao Jiang, Hongwei Li
2013 J jnl
An Augmented Value Difference Measure.
Pattern Recognit. Lett.
Liangxiao Jiang, Chaoqun Li
2013 B conf
Attribute Weighted Value Difference Metric.
ICTAI
Chaoqun Li, Liangxiao Jiang, Hongwei Li, Shasha Wang
2013 J jnl
Bayesian network classifiers for probability-based metrics.
J. Exp. Theor. Artif. Intell.
Chaoqun Li, Hongwei Li
2013 B conf
Sampled Bayesian Network Classifiers for Class-Imbalance and Cost-Sensitive Learning.
ICTAI
Liangxiao Jiang, Chaoqun Li, Zhihua Cai, Harry Zhang
2013 J jnl
Selective Value Difference Metric.
J. Comput.
Chaoqun Li, Hongwei Li
2012 J jnl
A Modified Short and Fukunaga Metric based on the attribute independence assumption.
Pattern Recognit. Lett.
Chaoqun Li, Hongwei Li
2011 J jnl
An Empirical Study on Class Probability Estimates in Decision Tree Learning.
J. Softw.
Liangxiao Jiang, Chaoqun Li
2011 J jnl
One Dependence Value Difference Metric.
Knowl. Based Syst.
Chaoqun Li, Hongwei Li
2011 J jnl
Scaling Up the Accuracy of Decision-Tree Classifiers: A Naive-Bayes Combination.
J. Comput.
Liangxiao Jiang, Chaoqun Li
2010 J jnl
A Survey of Distance Metrics for Nominal Attributes.
J. Softw.
Chaoqun Li, Hongwei Li
2010 J jnl
An Improved Instance Weighted Linear Regression.
J. Convergence Inf. Technol.
Chaoqun Li, Hongwei Li
2009 J jnl
Decision Tree with Better Class Probability Estimation.
Int. J. Pattern Recognit. Artif. Intell.
Liangxiao Jiang, Chaoqun Li, Zhihua Cai
2009 J jnl
Learning decision tree for ranking.
Knowl. Inf. Syst.
Liangxiao Jiang, Chaoqun Li, Zhihua Cai
2008 — conf
A Combined Classification Algorithm Based on C4.5 and NB.
ISICA
Liangxiao Jiang, Chaoqun Li, Jia Wu, Jian Zhu
2006 B conf
Using Locally Weighted Learning to Improve SMOreg for Regression.
PRICAI
Chaoqun Li, Liangxiao Jiang