Jing Yang

Orcid: 0000-0003-3922-299X

Affiliations:
  • Hefei University of Technology, School of Computer and Information, China


According to our database1, Jing Yang authored at least 25 papers between 2011 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2023
Lung nodule detection algorithm based on rank correlation causal structure learning.
Expert Syst. Appl., April, 2023

Online Streaming Features Causal Discovery Algorithm Based on Partial Rank Correlation.
IEEE Trans. Artif. Intell., February, 2023

Causal Discovery via the Subsample Based Reward and Punishment Mechanism.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

2022
Ensemble feature selection for stable biomarker identification and cancer classification from microarray expression data.
Comput. Biol. Medicine, 2022

Causal Structure Learning Algorithm Based on Partial Rank Correlation under Additive Noise Model.
Appl. Artif. Intell., 2022

Causal Discovery on Non-Euclidean Data.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

A Causal Network Construction Algorithm Based on Partial Rank Correlation on Time Series.
Proceedings of the International Joint Conference on Neural Networks, 2022

2021
Additive noise model structure learning based on rank correlation.
Inf. Sci., 2021

Regularized Sparse Modelling for Microarray Missing Value Estimation.
IEEE Access, 2021

Additive Noise Model Structure Learning Based on Rank Statistics.
Proceedings of the Knowledge Science, Engineering and Management, 2021

Causal structure learning of nonlinear additive noise model based on streaming feature.
Proceedings of the 2021 International Conference on Data Mining, 2021

2020
An efficient causal structure learning algorithm for linear arbitrarily distributed continuous data.
J. Supercomput., 2020

Locality adaptive preserving projections for linear dimensionality reduction.
Expert Syst. Appl., 2020

2019
Microarray Missing Value Imputation: A Regularized Local Learning Method.
IEEE ACM Trans. Comput. Biol. Bioinform., 2019

A New Algorithm for Learning Large Bayesian Network Structure From Discrete Data.
IEEE Access, 2019

Semantic Features Prediction for Pulmonary Nodule Diagnosis Based on Online Streaming Feature Selection.
IEEE Access, 2019

Predicting the Semantic Characteristics of Pulmonary Nodules using Feature Selection Based on Maximum-relevance Minimum-redundancy.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018
Streaming feature-based causal structure learning algorithm with symmetrical uncertainty.
Inf. Sci., 2018

2017
Wrapper-based gene selection with Markov blanket.
Comput. Biol. Medicine, 2017

2016
A Partial Correlation Statistic Structure Learning Algorithm Under Linear Structural Equation Models.
IEEE Trans. Knowl. Data Eng., 2016

2015
Harmony search for feature selection in speech emotion recognition.
Proceedings of the 2015 International Conference on Affective Computing and Intelligent Interaction, 2015

2014
Incremental wrapper based gene selection with Markov blanket.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014

2013
Causal discovery based on healthcare information.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

2011
A partial correlation-based Bayesian network structure learning algorithm under linear SEM.
Knowl. Based Syst., 2011

A Partial Correlation-Based Bayesian Network Structure Learning Algorithm under SEM.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011


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