Liangxiao Jiang

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 62

Top Venues

Inf. Sci.

Knowl. Inf. Syst.

Eng. Appl. Artif. Intell.

Expert Syst. Appl.

Publications

Yao Zhang, Liangxiao Jiang, Chaoqun Li
Instance redistribution-based label integration for crowdsourcing. Inf. Sci. 674 (2024)
Yufei Hu, Liangxiao Jiang, Wenjun Zhang
Worker similarity-based noise correction for crowdsourcing. Inf. Syst. 121 (2024)
Lijuan Ren, Liangxiao Jiang, Wenjun Zhang, Chaoqun Li
Label distribution similarity-based noise correction for crowdsourcing. Frontiers Comput. Sci. 18 (5) (2024)
Guanghao Yin, Yuanyuan Liu, Tengfei Liu, Haoyu Zhang, Fang Fang, Chang Tang, Liangxiao Jiang
Token-disentangling Mutual Transformer for multimodal emotion recognition. Eng. Appl. Artif. Intell. 133 (2024)
Huiru Li, Liangxiao Jiang, Chaoqun Li
Certainty weighted voting-based noise correction for crowdsourcing. Pattern Recognit. 150 (2024)
Wenjun Yang, Chaoqun Li, Liangxiao Jiang
Learning from crowds with robust support vector machines. Sci. China Inf. Sci. 66 (3) (2023)
Huan Zhang, Liangxiao Jiang, Wenjun Zhang, Chaoqun Li
Multi-View Attribute Weighted Naive Bayes. IEEE Trans. Knowl. Data Eng. 35 (7) (2023)
Yao Zhang, Liangxiao Jiang, Chaoqun Li
Attribute augmentation-based label integration for crowdsourcing. Frontiers Comput. Sci. 17 (5) (2023)
Yufei Hu, Liangxiao Jiang, Chaoqun Li
Instance difficulty-based noise correction for crowdsourcing. Expert Syst. Appl. 212 (2023)
Huan Zhang, Liangxiao Jiang, Geoffrey I. Webb
Rigorous non-disjoint discretization for naive Bayes. Pattern Recognit. 140 (2023)
Xinyang Li, Chaoqun Li, Liangxiao Jiang
A multi-view-based noise correction algorithm for crowdsourcing learning. Inf. Fusion 91 (2023)
Xue Wu, Liangxiao Jiang, Wenjun Zhang, Chaoqun Li
Three-way decision-based noise correction for crowdsourcing. Int. J. Approx. Reason. 160 (2023)
Huiru Li, Liangxiao Jiang, Siqing Xue
Neighborhood Weighted Voting-Based Noise Correction for Crowdsourcing. ACM Trans. Knowl. Discov. Data 17 (7) (2023)
Qiang Ji, Liangxiao Jiang, Wenjun Zhang
Dual-View Noise Correction for Crowdsourcing. IEEE Internet Things J. 10 (13) (2023)
Xin Zou, Chang Tang, Wei Zhang, Kun Sun, Liangxiao Jiang
Hierarchical Attention Learning for Multimodal Classification. ICME (2023)
Kang Zhu, Siqing Xue, Liangxiao Jiang
Improving label quality in crowdsourcing using deep co-teaching-based noise correction. Int. J. Mach. Learn. Cybern. 14 (10) (2023)
Qiang Ji, Liangxiao Jiang, Wenjun Zhang
Instance Weighting-Based Noise Correction for Crowdsourcing. ICIC (4) (2023)
Wenbin Li, Chaoqun Li, Liangxiao Jiang
Learning from crowds with robust logistic regression. Inf. Sci. 639 (2023)
Lijuan Ren, Liangxiao Jiang, Chaoqun Li
Label confidence-based noise correction for crowdsourcing. Eng. Appl. Artif. Intell. 117 (Part) (2023)
Yu Dong, Liangxiao Jiang, Chaoqun Li
Improving data and model quality in crowdsourcing using co-training-based noise correction. Inf. Sci. 583 (2022)
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) (2022)
Huan Zhang, Liangxiao Jiang, Chaoqun Li
Attribute augmented and weighted naive Bayes. Sci. China Inf. Sci. 65 (12) (2022)
Huan Zhang, Liangxiao Jiang
Fine tuning attribute weighted naive Bayes. Neurocomputing 488 (2022)
Ben Ma, Chaoqun Li, Liangxiao Jiang
A novel ground truth inference algorithm based on instance similarity for crowdsourcing learning. Appl. Intell. 52 (15) (2022)
Ziqi Chen, Liangxiao Jiang, Chaoqun Li
Label distribution-based noise correction for multiclass crowdsourcing. Int. J. Intell. Syst. 37 (9) (2022)
Wenjun Yang, Chaoqun Li, Liangxiao Jiang
Learning from crowds with decision trees. Knowl. Inf. Syst. 64 (8) (2022)
Ziqi Chen, Liangxiao Jiang, Chaoqun Li
Label augmented and weighted majority voting for crowdsourcing. Inf. Sci. 606 (2022)
Liangxiao Jiang, Ganggang Kong, Chaoqun Li
Wrapper Framework for Test-Cost-Sensitive Feature Selection. IEEE Trans. Syst. Man Cybern. Syst. 51 (3) (2021)
Huan Zhang, Liangxiao Jiang, Chaoqun Li
CS-ResNet: Cost-sensitive residual convolutional neural network for PCB cosmetic defect detection. Expert Syst. Appl. 185 (2021)
Wenqiang Xu, Liangxiao Jiang, Chaoqun Li
Improving data and model quality in crowdsourcing using cross-entropy-based noise correction. Inf. Sci. 546 (2021)
Fang Gong, Xin Wang, Liangxiao Jiang, Seyyed Mohammadreza Rahimi, Dianhong Wang
Fine-grained attribute weighted inverted specific-class distance measure for nominal attributes. Inf. Sci. 578 (2021)
Long Chen, Liangxiao Jiang, Chaoqun Li
Modified DFS-based term weighting scheme for text classification. Expert Syst. Appl. 168 (2021)
Long Chen, Liangxiao Jiang, Chaoqun Li
Using modified term frequency to improve term weighting for text classification. Eng. Appl. Artif. Intell. 101 (2021)
Huan Zhang, Liangxiao Jiang, Chaoqun Li
Collaboratively weighted naive Bayes. Knowl. Inf. Syst. 63 (12) (2021)
Huan Zhang, Liangxiao Jiang, Liangjun Yu
Attribute and instance weighted naive Bayes. Pattern Recognit. 111 (2021)
Fangna Tao, Liangxiao Jiang, Chaoqun Li
Differential evolution-based weighted soft majority voting for crowdsourcing. Eng. Appl. Artif. Intell. 106 (2021)
Wenqiang Xu, Liangxiao Jiang, Chaoqun Li
Resampling-based noise correction for crowdsourcing. J. Exp. Theor. Artif. Intell. 33 (6) (2021)
Fangna Tao, Liangxiao Jiang, Chaoqun Li
Label similarity-based weighted soft majority voting and pairing for crowdsourcing. Knowl. Inf. Syst. 62 (7) (2020)
Fang Gong, Liangxiao Jiang, Huan Zhang, Dianhong Wang, Xingfeng Guo
Gain ratio weighted inverted specific-class distance measure for nominal attributes. Int. J. Mach. Learn. Cybern. 11 (10) (2020)
Fang Gong, Liangxiao Jiang, Dianhong Wang, Xingfeng Guo
Averaged one-dependence inverted specific-class distance measure for nominal attributes. J. Exp. Theor. Artif. Intell. 32 (4) (2020)
Huan Zhang, Liangxiao Jiang, Liangjun Yu
Class-specific attribute value weighting for Naive Bayes. Inf. Sci. 508 (2020)
Wenqiang Xu, Liangxiao Jiang, Liangjun Yu
An attribute value frequency-based instance weighting filter for naive Bayes. J. Exp. Theor. Artif. Intell. 31 (2) (2019)
Liangxiao Jiang, Lungan Zhang, Chaoqun Li, Jia Wu
A Correlation-Based Feature Weighting Filter for Naive Bayes. IEEE Trans. Knowl. Data Eng. 31 (2) (2019)
Chaoqun Li, Liangxiao Jiang, Wenqiang Xu
Noise correction to improve data and model quality for crowdsourcing. Eng. Appl. Artif. Intell. 82 (2019)
Liangjun Yu, Liangxiao Jiang, Dianhong Wang, Lungan Zhang
Toward naive Bayes with attribute value weighting. Neural Comput. Appl. 31 (10) (2019)
Lungan Zhang, Liangxiao Jiang, Chaoqun Li
A discriminative model selection approach and its application to text classification. Neural Comput. Appl. 31 (4) (2019)
Liangxiao Jiang, Chaoqun Li
Two improved attribute weighting schemes for value difference metric. Knowl. Inf. Syst. 60 (2) (2019)
Liangxiao Jiang, Lungan Zhang, Liangjun Yu, Dianhong Wang
Class-specific attribute weighted naive Bayes. Pattern Recognit. 88 (2019)
Hao Zhang, Liangxiao Jiang, Wenqiang Xu
Multiple Noisy Label Distribution Propagation for Crowdsourcing. IJCAI (2019)
Chen Qiu, Liangxiao Jiang, Zhihua Cai
Using Differential Evolution to Estimate Labeler Quality for Crowdsourcing. PRICAI (2018)
Hao Zhang, Liangxiao Jiang, Wenqiang Xu
Differential Evolution-Based Weighted Majority Voting for Crowdsourcing. PRICAI (2018)
Liangjun Yu, Liangxiao Jiang, Lungan Zhang, Dianhong Wang
Weight Adjusted Naive Bayes. ICTAI (2018)
Chen Qiu, Liangxiao Jiang, Chaoqun Li
Randomly selected decision tree for test-cost sensitive learning. Appl. Soft Comput. 53 (2017)
Chaoqun Li, Liangxiao Jiang, Hongwei Li, Jia Wu, Peng Zhang
Toward value difference metric with attribute weighting. Knowl. Inf. Syst. 50 (3) (2017)
Liangjun Yu, Liangxiao Jiang, Dianhong Wang, Lungan Zhang
Attribute Value Weighted Average of One-Dependence Estimators. Entropy 19 (9) (2017)
Lungan Zhang, Liangxiao Jiang, Chaoqun Li
C4.5 or Naive Bayes: A Discriminative Model Selection Approach. ICANN (1) (2016)
Lungan Zhang, Liangxiao Jiang, Chaoqun Li, Ganggang Kong
Two feature weighting approaches for naive Bayes text classifiers. Knowl. Based Syst. 100 (2016)
Ganggang Kong, Liangxiao Jiang, Chaoqun Li
Beyond accuracy: Learning selective Bayesian classifiers with minimal test cost. Pattern Recognit. Lett. 80 (2016)
Liangxiao Jiang, Shasha Wang, Chaoqun Li, Lungan Zhang
Structure extended multinomial naive Bayes. Inf. Sci. 329 (2016)
Lungan Zhang, Liangxiao Jiang, Chaoqun Li
A New Feature Selection Approach to Naive Bayes Text Classifiers. Int. J. Pattern Recognit. Artif. Intell. 30 (2) (2016)
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 (2016)
Chaoqun Li, Victor S. Sheng, Liangxiao Jiang, Hongwei Li
Noise filtering to improve data and model quality for crowdsourcing. Knowl. Based Syst. 107 (2016)
Shasha Wang, Liangxiao Jiang, Chaoqun Li
Adapting naive Bayes tree for text classification. Knowl. Inf. Syst. 44 (1) (2015)
Liangxiao Jiang, Chen Qiu, Chaoqun Li
A Novel Minority Cloning Technique for Cost-Sensitive Learning. Int. J. Pattern Recognit. Artif. Intell. 29 (4) (2015)
Chen Qiu, Liangxiao Jiang, Ganggang Kong
A differential evolution-based method for class-imbalanced cost-sensitive learning. IJCNN (2015)
Chen Qiu, Liangxiao Jiang, Chaoqun Li
Not always simple classification: Learning SuperParent for class probability estimation. Expert Syst. Appl. 42 (13) (2015)
Liangxiao Jiang, Chaoqun Li, Harry Zhang, Zhihua Cai
A Novel Distance Function: frequency difference Metric. Int. J. Pattern Recognit. Artif. Intell. 28 (2) (2014)
Chaoqun Li, Liangxiao Jiang, Hongwei Li
Local value difference metric. Pattern Recognit. Lett. 49 (2014)
Shasha Wang, Liangxiao Jiang, Chaoqun Li
A CFS-Based Feature Weighting Approach to Naive Bayes Text Classifiers. ICANN (2014)
Chaoqun Li, Liangxiao Jiang, Hongwei Li
Naive Bayes for value difference metric. Frontiers Comput. Sci. 8 (2) (2014)
Liangxiao Jiang, Chaoqun Li, Shasha Wang
Cost-sensitive Bayesian network classifiers. Pattern Recognit. Lett. 45 (2014)
Liangxiao Jiang, Zhihua Cai, Dianhong Wang, Harry Zhang
Bayesian Citation-KNN with distance weighting. Int. J. Mach. Learn. Cybern. 5 (2) (2014)
Chaoqun Li, Liangxiao Jiang, Hongwei Li, Shasha Wang
Attribute Weighted Value Difference Metric. ICTAI (2013)
Liangxiao Jiang, Chaoqun Li
An Augmented Value Difference Measure. Pattern Recognit. Lett. 34 (10) (2013)
Liangxiao Jiang, Chaoqun Li, Zhihua Cai, Harry Zhang
Sampled Bayesian Network Classifiers for Class-Imbalance and Cost-Sensitive Learning. ICTAI (2013)
Liangxiao Jiang, Zhihua Cai, Harry Zhang, Dianhong Wang
Naive Bayes text classifiers: a locally weighted learning approach. J. Exp. Theor. Artif. Intell. 25 (2) (2013)
Guiling Li, Olli Bräysy, Liangxiao Jiang, Zongda Wu, Yuanzhen Wang
Finding time series discord based on bit representation clustering. Knowl. Based Syst. 54 (2013)
Dianhong Wang, Xingwen Liu, Liangxiao Jiang, Xiaoting Zhang, Yongguang Zhao
Rough Set Approach to Multivariate Decision Trees Inducing. J. Comput. 7 (4) (2012)
Liangxiao Jiang
Learning Instance Weighted Naive Bayes from labeled and unlabeled data. J. Intell. Inf. Syst. 38 (1) (2012)
Liangxiao Jiang, Zhihua Cai, Dianhong Wang, Harry Zhang
Improving Tree augmented Naive Bayes for class probability estimation. Knowl. Based Syst. 26 (2012)
Liangxiao Jiang, Zhihua Cai, Harry Zhang, Dianhong Wang
Not so greedy: Randomly Selected Naive Bayes. Expert Syst. Appl. 39 (12) (2012)
Liangxiao Jiang, Harry Zhang, Zhihua Cai, Dianhong Wang
Weighted average of one-dependence estimators†. J. Exp. Theor. Artif. Intell. 24 (2) (2012)
Liangxiao Jiang, Dianhong Wang, Zhihua Cai
Discriminatively Weighted Naive Bayes and its Application in Text Classification. Int. J. Artif. Intell. Tools 21 (1) (2012)
Liangxiao Jiang
Random one-dependence estimators. Pattern Recognit. Lett. 32 (3) (2011)
Liangxiao Jiang
Learning random forests for ranking. Frontiers Comput. Sci. China 5 (1) (2011)
Liangxiao Jiang, Chaoqun Li
Scaling Up the Accuracy of Decision-Tree Classifiers: A Naive-Bayes Combination. J. Comput. 6 (7) (2011)
Xingwen Liu, Dianhong Wang, Liangxiao Jiang, Fenxiong Chen, Shengfeng Gan
A novel method for inducing ID3 decision trees based on variable precision rough set. ICNC (2011)
Liangxiao Jiang, Chaoqun Li
An Empirical Study on Class Probability Estimates in Decision Tree Learning. J. Softw. 6 (7) (2011)
Liangxiao Jiang, Chaoqun Li, Zhihua Cai
Learning decision tree for ranking. Knowl. Inf. Syst. 20 (1) (2009)
Liangxiao Jiang, Chaoqun Li, Zhihua Cai
Decision Tree with Better Class Probability Estimation. Int. J. Pattern Recognit. Artif. Intell. 23 (4) (2009)
Liangxiao Jiang, Harry Zhang, Zhihua Cai
A Novel Bayes Model: Hidden Naive Bayes. IEEE Trans. Knowl. Data Eng. 21 (10) (2009)
Wenyin Gong, Zhihua Cai, Liangxiao Jiang
Enhancing the performance of differential evolution using orthogonal design method. Appl. Math. Comput. 206 (1) (2008)
Liangxiao Jiang, Chaoqun Li, Jia Wu, Jian Zhu
A Combined Classification Algorithm Based on C4.5 and NB. ISICA (2008)
Liangxiao Jiang, Dianhong Wang, Harry Zhang, Zhihua Cai, Bo Huang
Using Instance cloning to Improve Naive Bayes for Ranking. Int. J. Pattern Recognit. Artif. Intell. 22 (6) (2008)
Liangxiao Jiang, Harry Zhang, Dianhong Wang, Zhihua Cai
Learning Locally Weighted C4.4 for Class Probability Estimation. Discovery Science (2007)
Liangxiao Jiang, Zhihua Cai, Dianhong Wang, Siwei Jiang
Survey of Improving K-Nearest-Neighbor for Classification. FSKD (1) (2007)
Zhihua Cai, Dianhong Wang, Liangxiao Jiang
K-Distributions: A New Algorithm for Clustering Categorical Data. ICIC (2) (2007)
Liangxiao Jiang, Dianhong Wang, Zhihua Cai, Xuesong Yan
Survey of Improving Naive Bayes for Classification. ADMA (2007)
Liangxiao Jiang, Dianhong Wang, Zhihua Cai
Scaling Up the Accuracy of Bayesian Network Classifiers by M-Estimate. ICIC (2) (2007)
Dianhong Wang, Liangxiao Jiang
An Improved Attribute Selection Measure for Decision Tree Induction. FSKD (4) (2007)

Liangxiao Jiang

Publication Activity (10 Years)

Top Topics

Top Venues