Using Locally Weighted Learning to Improve SMOreg for Regression. - Chaoqun Li 001; Liangxiao Jiang (PRICAI, 2006)

A Combined Classification Algorithm Based on C4.5 and NB. - Liangxiao Jiang; Chaoqun Li 001; Jia Wu 001; Jian Zhu (ISICA, 2008)

Decision Tree with Better Class Probability Estimation. - Liangxiao Jiang; Chaoqun Li 001; Zhihua Cai (Int. J. Pattern Recognit. Artif. Intell., 2009)

Learning decision tree for ranking. - Liangxiao Jiang; Chaoqun Li 001; Zhihua Cai (Knowl. Inf. Syst., 2009)

An Improved Instance Weighted Linear Regression. - Chaoqun Li 001; Hongwei Li 003 (J. Convergence Inf. Technol., 2010)

A Survey of Distance Metrics for Nominal Attributes. - Chaoqun Li 001; Hongwei Li 003 (J. Softw., 2010)

Scaling Up the Accuracy of Decision-Tree Classifiers: A Naive-Bayes Combination. - Liangxiao Jiang; Chaoqun Li 001 (J. Comput., 2011)

An Empirical Study on Class Probability Estimates in Decision Tree Learning. - Liangxiao Jiang; Chaoqun Li 001 (J. Softw., 2011)

One Dependence Value Difference Metric. - Chaoqun Li 001; Hongwei Li 003 (Knowl. Based Syst., 2011)

A Modified Short and Fukunaga Metric based on the attribute independence assumption. - Chaoqun Li 001; Hongwei Li 003 (Pattern Recognit. Lett., 2012)

Sampled Bayesian Network Classifiers for Class-Imbalance and Cost-Sensitive Learning. - Liangxiao Jiang; Chaoqun Li 001; Zhihua Cai; Harry Zhang (ICTAI, 2013)

Attribute Weighted Value Difference Metric. - Chaoqun Li 001; Liangxiao Jiang; Hongwei Li 003; Shasha Wang (ICTAI, 2013)

Selective Value Difference Metric. - Chaoqun Li 001; Hongwei Li 003 (J. Comput., 2013)

Bayesian network classifiers for probability-based metrics. - Chaoqun Li 001; Hongwei Li 003 (J. Exp. Theor. Artif. Intell., 2013)

An Augmented Value Difference Measure. - Liangxiao Jiang; Chaoqun Li 001 (Pattern Recognit. Lett., 2013)

A CFS-Based Feature Weighting Approach to Naive Bayes Text Classifiers. - Shasha Wang; Liangxiao Jiang; Chaoqun Li 001 (ICANN, 2014)

Naive Bayes for value difference metric. - Chaoqun Li 001; Liangxiao Jiang; Hongwei Li 003 (Frontiers Comput. Sci., 2014)

A Novel Distance Function: frequency difference Metric. - Liangxiao Jiang; Chaoqun Li 001; Harry Zhang; Zhihua Cai (Int. J. Pattern Recognit. Artif. Intell., 2014)

Cost-sensitive Bayesian network classifiers. - Liangxiao Jiang; Chaoqun Li 001; Shasha Wang (Pattern Recognit. Lett., 2014)

Local value difference metric. - Chaoqun Li 001; Liangxiao Jiang; Hongwei Li 003 (Pattern Recognit. Lett., 2014)

Not always simple classification: Learning SuperParent for class probability estimation. - Chen Qiu 005; Liangxiao Jiang; Chaoqun Li 001 (Expert Syst. Appl., 2015)

A Novel Minority Cloning Technique for Cost-Sensitive Learning. - Liangxiao Jiang; Chen Qiu 005; Chaoqun Li 001 (Int. J. Pattern Recognit. Artif. Intell., 2015)

Adapting naive Bayes tree for text classification. - Shasha Wang; Liangxiao Jiang; Chaoqun Li 001 (Knowl. Inf. Syst., 2015)

C4.5 or Naive Bayes: A Discriminative Model Selection Approach. - Lungan Zhang; Liangxiao Jiang; Chaoqun Li 001 (ICANN (1), 2016)

Deep feature weighting for naive Bayes and its application to text classification. - Liangxiao Jiang; Chaoqun Li 001; Shasha Wang; Lungan Zhang (Eng. Appl. Artif. Intell., 2016)

A New Feature Selection Approach to Naive Bayes Text Classifiers. - Lungan Zhang; Liangxiao Jiang; Chaoqun Li 001 (Int. J. Pattern Recognit. Artif. Intell., 2016)

Structure extended multinomial naive Bayes. - Liangxiao Jiang; Shasha Wang; Chaoqun Li 001; Lungan Zhang (Inf. Sci., 2016)

Noise filtering to improve data and model quality for crowdsourcing. - Chaoqun Li 001; Victor S. Sheng; Liangxiao Jiang; Hongwei Li 003 (Knowl. Based Syst., 2016)

Two feature weighting approaches for naive Bayes text classifiers. - Lungan Zhang; Liangxiao Jiang; Chaoqun Li 001; Ganggang Kong (Knowl. Based Syst., 2016)

Beyond accuracy: Learning selective Bayesian classifiers with minimal test cost. - Ganggang Kong; Liangxiao Jiang; Chaoqun Li 001 (Pattern Recognit. Lett., 2016)

Randomly selected decision tree for test-cost sensitive learning. - Chen Qiu 005; Liangxiao Jiang; Chaoqun Li 001 (Appl. Soft Comput., 2017)

Toward value difference metric with attribute weighting. - Chaoqun Li 001; Liangxiao Jiang; Hongwei Li 003; Jia Wu 001; Peng Zhang 001 (Knowl. Inf. Syst., 2017)

Noise correction to improve data and model quality for crowdsourcing. - Chaoqun Li 001; Liangxiao Jiang; Wenqiang Xu (Eng. Appl. Artif. Intell., 2019)

Two improved attribute weighting schemes for value difference metric. - Liangxiao Jiang; Chaoqun Li 001 (Knowl. Inf. Syst., 2019)

A discriminative model selection approach and its application to text classification. - Lungan Zhang; Liangxiao Jiang; Chaoqun Li 001 (Neural Comput. Appl., 2019)

A Correlation-Based Feature Weighting Filter for Naive Bayes. - Liangxiao Jiang; Lungan Zhang; Chaoqun Li 001; Jia Wu 001 (IEEE Trans. Knowl. Data Eng., 2019)

Class-Specific Deep Feature Weighting for Naïve Bayes Text Classifiers. - Shufen Ruan; Hongwei Li 003; Chaoqun Li 001; Kunfang Song (IEEE Access, 2020)

Label similarity-based weighted soft majority voting and pairing for crowdsourcing. - Fangna Tao; Liangxiao Jiang; Chaoqun Li 001 (Knowl. Inf. Syst., 2020)

Using modified term frequency to improve term weighting for text classification. - Long Chen; Liangxiao Jiang; Chaoqun Li 001 (Eng. Appl. Artif. Intell., 2021)

Differential evolution-based weighted soft majority voting for crowdsourcing. - Fangna Tao; Liangxiao Jiang; Chaoqun Li 001 (Eng. Appl. Artif. Intell., 2021)

Modified DFS-based term weighting scheme for text classification. - Long Chen; Liangxiao Jiang; Chaoqun Li 001 (Expert Syst. Appl., 2021)

CS-ResNet: Cost-sensitive residual convolutional neural network for PCB cosmetic defect detection. - Huan Zhang 007; Liangxiao Jiang; Chaoqun Li 001 (Expert Syst. Appl., 2021)

Improving data and model quality in crowdsourcing using cross-entropy-based noise correction. - Wenqiang Xu; Liangxiao Jiang; Chaoqun Li 001 (Inf. Sci., 2021)

Resampling-based noise correction for crowdsourcing. - Wenqiang Xu; Liangxiao Jiang; Chaoqun Li 001 (J. Exp. Theor. Artif. Intell., 2021)

Collaboratively weighted naive Bayes. - Huan Zhang 007; Liangxiao Jiang; Chaoqun Li 001 (Knowl. Inf. Syst., 2021)

Improving crowd labeling using Stackelberg models. - Wenjun Yang; Chaoqun Li 001 (Int. J. Mach. Learn. Cybern., 2021)

Wrapper Framework for Test-Cost-Sensitive Feature Selection. - Liangxiao Jiang; Ganggang Kong; Chaoqun Li 001 (IEEE Trans. Syst. Man Cybern. Syst., 2021)

A novel ground truth inference algorithm based on instance similarity for crowdsourcing learning. - Ben Ma; Chaoqun Li 001; Liangxiao Jiang (Appl. Intell., 2022)

Attribute augmented and weighted naive Bayes. - Huan Zhang 007; Liangxiao Jiang; Chaoqun Li 001 (Sci. China Inf. Sci., 2022)

Label distribution-based noise correction for multiclass crowdsourcing. - Ziqi Chen; Liangxiao Jiang; Chaoqun Li 001 (Int. J. Intell. Syst., 2022)

Label augmented and weighted majority voting for crowdsourcing. - Ziqi Chen; Liangxiao Jiang; Chaoqun Li 001 (Inf. Sci., 2022)

Improving data and model quality in crowdsourcing using co-training-based noise correction. - Yu Dong; Liangxiao Jiang; Chaoqun Li 001 (Inf. Sci., 2022)

Learning from crowds with decision trees. - Wenjun Yang; Chaoqun Li 001; Liangxiao Jiang (Knowl. Inf. Syst., 2022)

Learning From Crowds With Multiple Noisy Label Distribution Propagation. - Liangxiao Jiang; Hao Zhang; Fangna Tao; Chaoqun Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Label confidence-based noise correction for crowdsourcing. - Lijuan Ren; Liangxiao Jiang; Chaoqun Li 001 (Eng. Appl. Artif. Intell., 2023)

Instance difficulty-based noise correction for crowdsourcing. - Yufei Hu; Liangxiao Jiang; Chaoqun Li 001 (Expert Syst. Appl., 2023)

A multi-view-based noise correction algorithm for crowdsourcing learning. - Xinyang Li; Chaoqun Li 001; Liangxiao Jiang (Inf. Fusion, 2023)

Learning from crowds with robust support vector machines. - Wenjun Yang; Chaoqun Li 001; Liangxiao Jiang (Sci. China Inf. Sci., 2023)

Multi-View Attribute Weighted Naive Bayes. - Huan Zhang 007; Liangxiao Jiang; Wenjun Zhang 012; Chaoqun Li 001 (IEEE Trans. Knowl. Data Eng., 2023)

Learning from crowds with robust logistic regression. - Wenbin Li; Chaoqun Li 001; Liangxiao Jiang (Inf. Sci., 2023)

Three-way decision-based noise correction for crowdsourcing. - Xue Wu; Liangxiao Jiang; Wenjun Zhang 012; Chaoqun Li 001 (Int. J. Approx. Reason., 2023)

Attribute augmentation-based label integration for crowdsourcing. - Yao Zhang; Liangxiao Jiang; Chaoqun Li 001 (Frontiers Comput. Sci., 2023)

IWBVT: Instance Weighting-based Bias-Variance Trade-off for Crowdsourcing. - Wenjun Zhang 012; Liangxiao Jiang; Chaoqun Li 001 (NeurIPS, 2024)

KFNN: K-Free Nearest Neighbor For Crowdsourcing. - Wenjun Zhang 012; Liangxiao Jiang; Chaoqun Li 001 (NeurIPS, 2024)

Label Consistency-based Worker Filtering for Crowdsourcing. - Jiao Li; Liangxiao Jiang; Chaoqun Li 001; Wenjun Zhang 012 (UAI, 2024)

FNNWV: farthest-nearest neighbor-based weighted voting for class-imbalanced crowdsourcing. - Wenjun Zhang 012; Liangxiao Jiang; Ziqi Chen; Chaoqun Li 001 (Sci. China Inf. Sci., 2024)

Instance redistribution-based label integration for crowdsourcing. - Yao Zhang; Liangxiao Jiang; Chaoqun Li 001 (Inf. Sci., 2024)

Certainty weighted voting-based noise correction for crowdsourcing. - Huiru Li; Liangxiao Jiang; Chaoqun Li 001 (Pattern Recognit., 2024)

Weighted Adversarial Learning From Crowds. - Ziqi Chen; Liangxiao Jiang; Wenjun Zhang 012; Chaoqun Li 001 (IEEE Trans. Serv. Comput., 2024)

Label distribution similarity-based noise correction for crowdsourcing. - Lijuan Ren; Liangxiao Jiang; Wenjun Zhang 012; Chaoqun Li 001 (Frontiers Comput. Sci., 2024)

Three-way decision-based label integration for crowdsourcing. - Can Pan; Liangxiao Jiang; Chaoqun Li 001 (Pattern Recognit., 2025)

Intent-aware Recommendation Based on Principal Component Analysis. - Yuyan Ai; Chaoqun Li 001; Liangxiao Jiang (ACM Trans. Knowl. Discov. Data, 2025)

ELDP: Enhanced Label Distribution Propagation for Crowdsourcing. - Wenjun Zhang 012; Liangxiao Jiang; Chaoqun Li 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Worker Similarity-Based Label Completion for Crowdsourcing. - Xue Wu; Liangxiao Jiang; Wenjun Zhang 012; Chaoqun Li 001 (IEEE Trans. Big Data, 2025)