Jing Yang

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 21

Top Topics

Feature Selection

Rank Correlation

Structure Learning

Top Venues

IEEE Trans. Artif. Intell.

Expert Syst. Appl.

Comput. Biol. Medicine

Publications

Jing Yang, Jiayao Huang, Qiqi Chen
Construction of time series causal network based on partial rank correlation. Knowl. Based Syst. 295 (2024)
Jing Yang, Ting Lu, Youjie Zhu
Additive Noise Model Structure Learning Based on Spatial Coordinates. IEEE Trans. Artif. Intell. 5 (8) (2024)
Jing Yang, Liufeng Jiang, Anbo Shen, Aiguo Wang
Online Streaming Features Causal Discovery Algorithm Based on Partial Rank Correlation. IEEE Trans. Artif. Intell. 4 (1) (2023)
Jing Yang, Liufeng Jiang, Kai Xie, Qiqi Chen, Aiguo Wang
Lung nodule detection algorithm based on rank correlation causal structure learning. Expert Syst. Appl. 216 (2023)
Jing Yang, Ting Lu, Fan Kuai
Causal Discovery via the Subsample Based Reward and Punishment Mechanism. PRCV (3) (2023)
Jing Yang, Kai Xie, Ning An
Causal Discovery on Non-Euclidean Data. KDD (2022)
Jing Yang, Liufeng Jiang, Kai Xie, Qiqi Chen, Aiguo Wang
Causal Structure Learning Algorithm Based on Partial Rank Correlation under Additive Noise Model. Appl. Artif. Intell. 36 (1) (2022)
Jing Yang, Qiqi Chen
A Causal Network Construction Algorithm Based on Partial Rank Correlation on Time Series. IJCNN (2022)
Aiguo Wang, Huancheng Liu, Jing Yang, Guilin Chen
Ensemble feature selection for stable biomarker identification and cancer classification from microarray expression data. Comput. Biol. Medicine 142 (2022)
Jing Yang, Gaojin Fan, Kai Xie, Qiqi Chen, Aiguo Wang
Additive noise model structure learning based on rank correlation. Inf. Sci. 571 (2021)
Aiguo Wang, Jing Yang, Ning An
Regularized Sparse Modelling for Microarray Missing Value Estimation. IEEE Access 9 (2021)
Jing Yang, Gaojin Fan, Kai Xie, Qiqi Chen, Aiguo Wang
Additive Noise Model Structure Learning Based on Rank Statistics. KSEM (2021)
Jing Yang, Na Li, Ning An, Yu Chen, Gil Alterovitz
An efficient causal structure learning algorithm for linear arbitrarily distributed continuous data. J. Supercomput. 76 (5) (2020)
Aiguo Wang, Shenghui Zhao, Jinjun Liu, Jing Yang, Li Liu, Guilin Chen
Locality adaptive preserving projections for linear dimensionality reduction. Expert Syst. Appl. 151 (2020)
Aiguo Wang, Ye Chen, Ning An, Jing Yang, Lian Li, Lili Jiang
Microarray Missing Value Imputation: A Regularized Local Learning Method. IEEE ACM Trans. Comput. Biol. Bioinform. 16 (3) (2019)
Weiping Zhang, Ziqiang Xu, Yu Chen, Jing Yang
A New Algorithm for Learning Large Bayesian Network Structure From Discrete Data. IEEE Access 7 (2019)
Jing Yang, Na Li, Shuai Fang, Kui Yu, Yu Chen
Semantic Features Prediction for Pulmonary Nodule Diagnosis Based on Online Streaming Feature Selection. IEEE Access 7 (2019)
Jing Yang, Xiaoxue Guo, Ning An, Aiguo Wang, Kui Yu
Streaming feature-based causal structure learning algorithm with symmetrical uncertainty. Inf. Sci. 467 (2018)
Aiguo Wang, Ning An, Jing Yang, Guilin Chen, Lian Li, Gil Alterovitz
Wrapper-based gene selection with Markov blanket. Comput. Biol. Medicine 81 (2017)
Jing Yang, Ning An, Gil Alterovitz
A Partial Correlation Statistic Structure Learning Algorithm Under Linear Structural Equation Models. IEEE Trans. Knowl. Data Eng. 28 (10) (2016)
Yongsen Tao, Kunxia Wang, Jing Yang, Ning An, Lian Li
Harmony search for feature selection in speech emotion recognition. ACII (2015)
Aiguo Wang, Ning An, Guilin Chen, Jing Yang, Lian Li, Gil Alterovitz
Incremental wrapper based gene selection with Markov blanket. BIBM (2014)
Jing Yang, Ning An, Gil Alterovitz, Lian Li, Aiguo Wang
Causal discovery based on healthcare information. BIBM (2013)
Jing Yang, Lian Li, Aiguo Wang
A partial correlation-based Bayesian network structure learning algorithm under linear SEM. Knowl. Based Syst. 24 (7) (2011)