百晓学者学者目录

李超群

副教授、教授、硕士生导师、讲师,中国地质大学(武汉)

精选作品

期刊论文

2026

Cross-session interest extraction for recommendation

Jin Jina, Chaoqun Li, Liangxiao Jiang

Expert Systems With Applications,Vol. 298

2026

Biologically inspired energy-balanced clustering routing optimization for wireless sensor networks

Mengying Xu, Yunxiao Zu, Jie Zhou, Yang Liu, Chaoqun Li

Expert Systems With Applications,Vol. 296

2026

Worker and instance similarity-based label completion for crowdsourcing

Cong-Xuan Zhang, Liangxiao Jiang, Renping Di, Chaoqun Li

Expert systems with applications

2026

Sign-aware recommendation based on mixed-path aggregation

M. Ye, Sijian Huang, Chaoqun Li

Pattern Recognition

2026

Category-aware dual graph disentanglement with multi-task learning for session-based recommendation

Hongxia Ye, Chaoqun Li, Liangxiao Jiang

Applied Soft Computing

2026

A stage-aware hybrid sampling algorithm: Generation-based Gaussian negative sampling for collaborative filtering

Zhibin Ouyang, Chaoqun Li, Hong-xia Jin, Liangxiao Jiang

Neurocomputing

2026

Invisible poisoning attack on recommender systems based on multi-view uniformity

Sijian Huang, Chaoqun Li, Liangxiao Jiang

Information Sciences

2025

TLLC: Transfer Learning-based Label Completion for Crowdsourcing

Wen-Juan Zhang, Liangxiao Jiang, Chaoqun Li

International Conference on Machine Learning

2025

Label Distribution Propagation-based Label Completion for Crowdsourcing

Tong Wu, Liangxiao Jiang, Wen-Juan Zhang, Chaoqun Li

International Conference on Machine Learning

2025

Worker Similarity-Based Label Completion for Crowdsourcing

Xue Wu, Liangxiao Jiang, Wen-Juan Zhang, Chaoqun Li

IEEE Transactions on Big Data

2025

Learning From Crowds by Class-Specific Instance Weighting

Qiang Ji, Liangxiao Jiang, Wen-Juan Zhang, Chaoqun Li

IEEE Transactions on Emerging Topics in Computational Intelligence

2025

Intent-aware Recommendation Based on Principal Component Analysis

Yuyan Ai, Chaoqun Li, Liangxiao Jiang

ACM Transactions on Knowledge Discovery from Data

2024

[Review] An improved levy chaotic particle swarm optimization algorithm for energy-efficient cluster routing scheme in industrial wireless sensor networks

Tao Luo, Jianpeng Xie, Baitao Zhang, Yao Zhang, Chaoqun Li, Jie Zhou

Expert Systems With Applications,Vol. 241

2024

Enhanced transformer encoder and hybrid cascaded upsampler for medical image segmentation

Chaoqun Li, Liejun Wang, Shuli Cheng

Expert Systems With Applications,Vol. 238

2024

IWBVT: Instance Weighting-based Bias-Variance Trade-off for Crowdsourcing

Wen-Juan Zhang, Liangxiao Jiang, Chaoqun Li

Neural Information Processing Systems

2024

Label Consistency-based Worker Filtering for Crowdsourcing

Jiao Li, Liangxiao Jiang, Chaoqun Li, Wen-Juan Zhang

Conference on Uncertainty in Artificial Intelligence

2024

KFNN: K-Free Nearest Neighbor For Crowdsourcing

Wen-Juan Zhang, Liangxiao Jiang, Chaoqun Li

Neural Information Processing Systems

2024

ELDP: Enhanced Label Distribution Propagation for Crowdsourcing

Wen-Juan Zhang, Liangxiao Jiang, Chaoqun Li

IEEE Transactions on Pattern Analysis and Machine Intelligence

2024

FNNWV: farthest-nearest neighbor-based weighted voting for class-imbalanced crowdsourcing

Wen-Juan Zhang, Liangxiao Jiang, Ziqi Chen, Chaoqun Li

Science China Information Sciences

2024

Weighted Adversarial Learning From Crowds

Ziqi Chen, Liang-Xiao Jiang, Wen-Juan Zhang, Chaoqun Li

IEEE Transactions on Services Computing

2024

Certainty weighted voting-based noise correction for crowdsourcing

Hui-Ru Li, Liang-Xiao Jiang, Chaoqun Li

Pattern Recognition

2024

Instance redistribution-based label integration for crowdsourcing

Yao Zhang, Liangxiao Jiang, Chaoqun Li

Information Sciences

2024

Three-way decision-based label integration for crowdsourcing

Can Pan, Liangxiao Jiang, Chaoqun Li

Pattern Recognition

2023

A Novel Nature-Inspired Routing Scheme for Improving Routing Quality of Service in Power Grid Monitoring Systems

Chaoqun Li, Yang Liu, Yao Zhang, Mengying Xu, Jing Xiao, Jie Zhou

Ieee Systems Journal,Vol. 170, No. 20

2023

Instance difficulty-based noise correction for crowdsourcing

Yufei Hu, Liangxiao Jiang, Chaoqun Li

Expert Systems With Applications,Vol. 212

2023

一种基于自训练的众包标记噪声纠正算法

杨艺,蒋良孝,李超群

《自动化学报》

2023

Label confidence-based noise correction for crowdsourcing

Lijuan Ren, Liang-Xiao Jiang, Chaoqun Li

Engineering applications of artificial intelligence

2023

Three-way decision-based noise correction for crowdsourcing

Xue Wu, Liang-Xiao Jiang, W. Zhang, Chaoqun Li

International Journal of Approximate Reasoning

2023

Learning from crowds with robust logistic regression

Wenbin Li, Chaoqun Li, Liang-Xiao Jiang

Information Sciences

2023

Label distribution similarity-based noise correction for crowdsourcing

Lijuan Ren, Liang-Xiao Jiang, Wen-Juan Zhang, Chaoqun Li

Frontiers of Computer Science

2023

Multi-View Attribute Weighted Naive Bayes

Huan Zhang, Liang-Xiao Jiang, W. Zhang, Chaoqun Li

IEEE Transactions on Knowledge and Data Engineering

2022

Learning from crowds with robust support vector machines

Wenjun Yang, Chaoqun Li, Liang-Xiao Jiang

Science China Information Sciences

2022

Learning from crowds with decision trees

Wenjun Yang, Chaoqun Li, Liang-Xiao Jiang

Knowledge and Information Systems

2022

A multi-view-based noise correction algorithm for crowdsourcing learning

Xinyang Li, Chaoqun Li, Liang-Xiao Jiang

Information Fusion

2022

Label distribution‐based noise correction for multiclass crowdsourcing

Ziqi Chen, Liang-Xiao Jiang, Chaoqun Li

International Journal of Intelligent Systems

2022

A novel ground truth inference algorithm based on instance similarity for crowdsourcing learning

Bennour Ma, Chaoqun Li, Liang-Xiao Jiang

Applied intelligence (Boston)

2022

Attribute augmented and weighted naive Bayes

Huan Zhang, Liang-Xiao Jiang, Chaoqun Li

Science China Information Sciences

2022

Label augmented and weighted majority voting for crowdsourcing

Ziqi Chen, Liang-Xiao Jiang, Chaoqun Li

Information Sciences

2022

Attribute augmentation-based label integration for crowdsourcing

Yao Zhang, Liang-Xiao Jiang, Chaoqun Li

Frontiers of Computer Science

2021

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

Huan Zhang, Liangxiao Jiang, Chaoqun Li

Expert Systems With Applications,Vol. 185

2021

Modified DFS-based term weighting scheme for text classification

Long Chen, Liangxiao Jiang, Chaoqun Li

Expert Systems With Applications,Vol. 168

2021

一种基于Tri-training的众包标记噪声纠正算法

杨艺,蒋良孝,李超群,李宏伟

《电子学报》

2021

Improving Data and Model Quality in Crowdsourcing using Co-Training-based Noise Correction

Yu Dong, Liang-Xiao Jiang, Chaoqun Li

Information Sciences

2021

A Tri-training-Based Label Noise Correction Algorithm for Crowdsourcing

Yi Yang, Liangxiao Jiang, Chaoqun Li, Hongwei Li

2021

Improving data and model quality in crowdsourcing using cross-entropy-based noise correction

Wenqiang Xu, Liang-Xiao Jiang, Chaoqun Li

Information Sciences

2021

Using modified term frequency to improve term weighting for text classification

Long Chen, Liang-Xiao Jiang, Chaoqun Li

Engineering applications of artificial intelligence

2021

Improving crowd labeling using Stackelberg models

Wenjun Yang, Chaoqun Li

International Journal of Machine Learning and Cybernetics

2021

Collaboratively weighted naive Bayes

Huan Zhang, Liang-Xiao Jiang, Chaoqun Li

Knowledge and Information Systems

2021

Learning From Crowds With Multiple Noisy Label Distribution Propagation

Liang-Xiao Jiang, Hao Zhang, Fangna Tao, Chaoqun Li

IEEE Transactions on Neural Networks and Learning Systems

2021

Differential evolution-based weighted soft majority voting for crowdsourcing

Fangna Tao, Liang-Xiao Jiang, Chaoqun Li

Engineering applications of artificial intelligence

2020

A High-Accuracy Least-Time-Domain Mixture Features Machine-Fault Diagnosis Based on Wireless Sensor Network

Cuicui Du, Shang Gao, Naishu Jia, Deren Kong, Jian Jiang, Guiyun Tian, Yan Su, Qiaomu Wang, Chaoqun Li

Ieee Systems Journal,Vol. 140, No. 30

2020

Resampling-based noise correction for crowdsourcing

Wenqiang Xu, Liang-Xiao Jiang, Chaoqun Li

Journal of experimental and theoretical artificial intelligence (Print)

2020

Label similarity-based weighted soft majority voting and pairing for crowdsourcing

Fangna Tao, Liang Jiang, Chaoqun Li

Knowledge and Information Systems

2020

Class-Specific Deep Feature Weighting for Naïve Bayes Text Classifiers

Shu-Fen Ruan, Hongwei Li, Chaoqun Li, Kun-Fang Song

IEEE Access

2019

Noise correction to improve data and model quality for crowdsourcing

Chaoqun Li, Liang-Xiao Jiang, Wenqiang Xu

Engineering applications of artificial intelligence

2019

A discriminative model selection approach and its application to text classification

Lun-Gan Zhang, Liang-Xiao Jiang, Chaoqun Li

Neural computing & applications (Print)

2019

A Correlation-Based Feature Weighting Filter for Naive Bayes

Liang-Xiao Jiang, Lun-Gan Zhang, Chaoqun Li, Jia Wu

IEEE Transactions on Knowledge and Data Engineering

2019

Wrapper Framework for Test-Cost-Sensitive Feature Selection

Liang-Xiao Jiang, Ganggang Kong, Chaoqun Li

IEEE Transactions on Systems, Man & Cybernetics. Systems

2018

Two improved attribute weighting schemes for value difference metric

Liang-Xiao Jiang, Chaoqun Li

Knowledge and Information Systems

2017

Toward value difference metric with attribute weighting

Chaoqun Li, Liang-Xiao Jiang, Hongwei Li, Jia Wu, P. Zhang

Knowledge and Information Systems

2017

Randomly selected decision tree for test-cost sensitive learning

Chen Qiu, Liang-Xiao Jiang, Chaoqun Li

Applied Soft Computing

2016

クラウドソーシングのためのデータとモデル品質を改善するための雑音フィルタリング【Powered by NICT】

Chaoqun Li, S. Victor, Liangxiao Jiang, Hongwei Li

2016

Beyond accuracy: Learning selective Bayesian classifiers with minimal test cost

Ganggang Kong, Liang-Xiao Jiang, Chaoqun Li

Pattern Recognition Letters

2016

Structure extended multinomial naive Bayes

Liang-Xiao Jiang, Sha-Sha Wang, Chaoqun Li, Lun-Gan Zhang

Information Sciences

2016

Noise filtering to improve data and model quality for crowdsourcing

Chaoqun Li, Victor S. Sheng, Liang-Xiao Jiang, Hongwei Li

Knowledge-Based Systems

2016

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

Liang-Xiao Jiang, Chaoqun Li, Sha-Sha Wang, Lun-Gan Zhang

Engineering applications of artificial intelligence

2016

A New Feature Selection Approach to Naive Bayes Text Classifiers

Lun-Gan Zhang, Liang-Xiao Jiang, Chaoqun Li

International journal of pattern recognition and artificial intelligence

2016

Two feature weighting approaches for naive Bayes text classifiers

Lun-Gan Zhang, Liang-Xiao Jiang, Chaoqun Li, Ganggang Kong

Knowledge-Based Systems

2016

C4.5 or Naive Bayes: A Discriminative Model Selection Approach

Lun-Gan Zhang, Liang-Xiao Jiang, Chaoqun Li

International Conference on Artificial Neural Networks

2015

Not always simple classification: Learning Super Parent for class probability estimation

Chen Qiu, Liangxiao Jiang, Chaoqun Li

Expert Systems With Applications,Vol. 42, No. 13

2015

Structure extended polynomial naive Bayes text classification method

Liang-Xiao Jiang, Sha-Sha Wang, Chaoqun Li, Lun-Gan Zhang

2015

Adapting naive Bayes tree for text classification

Sha-Sha Wang, Liang-Xiao Jiang, Chaoqun Li

Knowledge and Information Systems

2015

A Novel Minority Cloning Technique for Cost-Sensitive Learning

Liang-Xiao Jiang, Chen Qiu, Chaoqun Li

International journal of pattern recognition and artificial intelligence

2014

Cost-sensitive Bayesian network classifiers

Liang-Xiao Jiang, Chaoqun Li, Sha-Sha Wang

Pattern Recognition Letters

2014

Local value difference metric

Chaoqun Li, Liang-Xiao Jiang, Hongwei Li

Pattern Recognition Letters

2014

A CFS-Based Feature Weighting Approach to Naive Bayes Text Classifiers

Sha-Sha Wang, Liang-Xiao Jiang, Chaoqun Li

International Conference on Artificial Neural Networks

2014

A Novel Distance Function: frequency difference Metric

Liang-Xiao Jiang, Chaoqun Li, Harry Zhang, Zhi-Hua Cai

International journal of pattern recognition and artificial intelligence

2014

Naive Bayes for value difference metric

Chaoqun Li, Liang-Xiao Jiang, Hongwei Li

Frontiers of Computer Science

2013

Bayesian network classifiers for probability-based metrics

Chaoqun Li, Hongwei Li

Journal of experimental and theoretical artificial intelligence (Print)

2013

Sampled Bayesian Network Classifiers for Class-Imbalance and Cost-Sensitive Learning

Liang-Xiao Jiang, Chaoqun Li, Zhi-Hua Cai, Harry Zhang

IEEE International Conference on Tools with Artificial Intelligence

2013

Attribute Weighted Value Difference Metric

Chaoqun Li, Liang-Xiao Jiang, Hongwei Li, Sha-Sha Wang

IEEE International Conference on Tools with Artificial Intelligence

2013

An Augmented Value Difference Measure

Liang-Xiao Jiang, Chaoqun Li

Pattern Recognition Letters

2013

Selective Value Difference Metric

Chaoqun Li, Hongwei Li

Journal of Computers

2012

A Modified Short and Fukunaga Metric based on the attribute independence assumption

Chaoqun Li, Hongwei Li

Pattern Recognition Letters

2011

Correlation Weighted Heterogeneous Euclidean-Overlap Metric

Chaoqun Li, Hongwei Li

2011

One Dependence Value Difference Metric

Chaoqun Li, Hongwei Li

Knowledge-Based Systems

2011

Scaling Up the Accuracy of Decision-Tree Classifiers: A Naive-Bayes Combination

Liang-Xiao Jiang, Chaoqun Li

Journal of Computers

2011

Learning Random Model Trees for Regression

Chaoqun Li, Hongwei Li

2011

An Empirical Study on Class Probability Estimates in Decision Tree Learning

Liangxiao Jiang, Chaoqun Li

Journal of Software

2010

A Survey of Distance Metrics for Nominal Attributes

Chaoqun Li, Hongwei Li

Journal of Software

2010

An Improved Instance Weighted Linear Regression

Chaoqun Li, Hongwei Li

J. Convergence Inf. Technol.

2009

Decision Tree with Better Class Probability Estimation

Liang-Xiao Jiang, Chaoqun Li, Zhi-Hua Cai

International journal of pattern recognition and artificial intelligence

2009

Learning decision tree for ranking

Liang-Xiao Jiang, Chaoqun Li, Zhi-Hua Cai

Knowledge and Information Systems

2008

A Combined Classification Algorithm Based on C4.5 and NB

Liang-Xiao Jiang, Chaoqun Li, Jia Wu, Jian Zhu

International Symposium on Intelligence Computation and Applications

2006

Using Locally Weighted Learning to Improve SMOreg for Regression

Chaoqun Li, Liang-Xiao Jiang

Pacific Rim International Conference on Artificial Intelligence

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