World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
5627
World Ranking
10781
National Ranking
1328

Overview

Liangxiao Jiang is affiliated with the China University of Geosciences in China and has contributed to the field of Computer Science through research primarily focused on Artificial Intelligence and its applications. Their research portfolio spans multiple subfields, including Computer Science Applications, Information Systems, Computer Vision and Pattern Recognition, and Computational Theory and Mathematics.

The core topics addressed in Jiang's work include Mobile Crowdsensing and Crowdsourcing, Machine Learning and Data Classification, Data Stream Mining Techniques, Imbalanced Data Classification Techniques, Anomaly Detection Techniques and Applications, Bayesian Modeling and Causal Inference, and Rough Sets and Fuzzy Logic.

They have published research articles in various reputable venues with a substantive record of work in:

  • Information Sciences
  • Pattern Recognition
  • Expert Systems with Applications
  • Engineering Applications of Artificial Intelligence
  • Knowledge and Information Systems

Among recent publications, notable papers include:

  • "CS-ResNet: Cost-sensitive residual convolutional neural network for PCB cosmetic defect detection," 2021, Expert Systems with Applications
  • "Attribute and instance weighted naive Bayes," 2020, Pattern Recognition
  • "Learning From Crowds With Multiple Noisy Label Distribution Propagation," 2021, IEEE Transactions on Neural Networks and Learning Systems
  • "Label augmented and weighted majority voting for crowdsourcing," 2022, Information Sciences
  • "Improving data and model quality in crowdsourcing using co-training-based noise correction," 2021, Information Sciences

Frequent collaborators in Jiang's work include Chaoqun Li, Huan Zhang, Wenjun Zhang, Fangna Tao, and Qiuhan Ji, indicating active partnerships in related research fields.

Best Publications

  • A Novel Bayes Model: Hidden Naive Bayes

    Liangxiao Jiang;H. Zhang;Zhihua Cai

  • Deep feature weighting for naive Bayes and its application to text classification

    Liangxiao Jiang;Chaoqun Li;Shasha Wang;Lungan Zhang

  • Survey of Improving K-Nearest-Neighbor for Classification

    Liangxiao Jiang;Zhihua Cai;Dianhong Wang;Siwei Jiang

  • A Correlation-Based Feature Weighting Filter for Naive Bayes

    Liangxiao Jiang;Lungan Zhang;Chaoqun Li;Jia Wu

  • Class-specific attribute weighted naive Bayes

    Liangxiao Jiang;Lungan Zhang;Liangjun Yu;Dianhong Wang

  • CS-ResNet: Cost-sensitive residual convolutional neural network for PCB cosmetic defect detection

    Huan Zhang;Liangxiao Jiang;Liangxiao Jiang;Chaoqun Li

  • Hidden naive Bayes

    Harry Zhang;Liangxiao Jiang;Jiang Su

  • Survey of Improving Naive Bayes for Classification

    Liangxiao Jiang;Dianhong Wang;Zhihua Cai;Xuesong Yan

  • Improving Tree augmented Naive Bayes for class probability estimation

    Liangxiao Jiang;Zhihua Cai;Dianhong Wang;Harry Zhang

  • Enhancing the performance of differential evolution using orthogonal design method

    Wenyin Gong;Zhihua Cai;Liangxiao Jiang

  • Naive Bayes text classifiers: a locally weighted learning approach

    Liangxiao Jiang;Zhihua Cai;Harry Zhang;Dianhong Wang

  • Two feature weighting approaches for naive Bayes text classifiers

    Lungan Zhang;Liangxiao Jiang;Chaoqun Li;Ganggang Kong

  • Adapting naive Bayes tree for text classification

    Shasha Wang;Liangxiao Jiang;Chaoqun Li

  • Structure extended multinomial naive Bayes

    Liangxiao Jiang;Shasha Wang;Chaoqun Li;Lungan Zhang

  • Weightily averaged one-dependence estimators

    Liangxiao Jiang;Harry Zhang

  • Attribute and instance weighted naive Bayes

    Huan Zhang;Liangxiao Jiang;Liangjun Yu

  • Weighted average of one-dependence estimators†

    Liangxiao Jiang;Harry Zhang;Zhihua Cai;Dianhong Wang

  • Label augmented and weighted majority voting for crowdsourcing

    Unknown

  • Learning From Crowds With Multiple Noisy Label Distribution Propagation

    Liangxiao Jiang;Hao Zhang;Fangna Tao;Chaoqun Li

  • Class-specific attribute value weighting for Naive Bayes

    Huan Zhang;Liangxiao Jiang;Liangjun Yu

  • Cost-sensitive Bayesian network classifiers☆

    Liangxiao Jiang;Chaoqun Li;Shasha Wang

  • DISCRIMINATIVELY WEIGHTED NAIVE BAYES AND ITS APPLICATION IN TEXT CLASSIFICATION

    Liangxiao Jiang;Dianhong Wang;Zhihua Cai

Frequent Co-Authors

Zhihua Cai
Zhihua Cai China University of Geosciences, Wuhan
Jia Wu
Jia Wu Macquarie University
Peng Zhang
Peng Zhang Huazhong University of Science and Technology
Victor S. Sheng
Victor S. Sheng Texas Tech University
Wenyin Gong
Wenyin Gong China University of Geosciences

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