A Partial Correlation-Based Bayesian Network Structure Learning Algorithm under SEM. - Jing Yang 008; Lian Li 001 (PAKDD (2), 2011)

A partial correlation-based Bayesian network structure learning algorithm under linear SEM. - Jing Yang 008; Lian Li 001; Aiguo Wang (Knowl. Based Syst., 2011)

Causal discovery based on healthcare information. - Jing Yang 008; Ning An 001; Gil Alterovitz; Lian Li 001; Aiguo Wang (BIBM, 2013)

Incremental wrapper based gene selection with Markov blanket. - Aiguo Wang; Ning An 001; Guilin Chen; Jing Yang 008; Lian Li 001; Gil Alterovitz (BIBM, 2014)

Harmony search for feature selection in speech emotion recognition. - Yongsen Tao; Kunxia Wang; Jing Yang 008; Ning An 001; Lian Li 001 (ACII, 2015)

A Partial Correlation Statistic Structure Learning Algorithm Under Linear Structural Equation Models. - Jing Yang 008; Ning An 001; Gil Alterovitz (IEEE Trans. Knowl. Data Eng., 2016)

Wrapper-based gene selection with Markov blanket. - Aiguo Wang; Ning An 001; Jing Yang 008; Guilin Chen; Lian Li 001; Gil Alterovitz (Comput. Biol. Medicine, 2017)

Semantic Characteristic Prediction of Pulmonary Nodules Using the Causal Discovery Based on Streaming Features Algorithm. - Na Li; Jing Yang 008; Shuai Fang (BIBM, 2018)

Streaming feature-based causal structure learning algorithm with symmetrical uncertainty. - Jing Yang 008; Xiaoxue Guo; Ning An 001; Aiguo Wang; Kui Yu (Inf. Sci., 2018)

Predicting the Semantic Characteristics of Pulmonary Nodules using Feature Selection Based on Maximum-relevance Minimum-redundancy. - Jing Yang 008; Anbo Shen; Kui Yu; Yu Chen 018 (BIBM, 2019)

Semantic Features Prediction for Pulmonary Nodule Diagnosis Based on Online Streaming Feature Selection. - Jing Yang 008; Na Li; Shuai Fang; Kui Yu; Yu Chen 018 (IEEE Access, 2019)

A New Algorithm for Learning Large Bayesian Network Structure From Discrete Data. - Weiping Zhang; Ziqiang Xu; Yu Chen 018; Jing Yang 008 (IEEE Access, 2019)

Microarray Missing Value Imputation: A Regularized Local Learning Method. - Aiguo Wang; Ye Chen; Ning An 001; Jing Yang 008; Lian Li 001; Lili Jiang 002 (IEEE ACM Trans. Comput. Biol. Bioinform., 2019)

Stable and Accurate Feature Selection from Microarray Data with Ensembled Fast Correlation Based Filter. - Aiguo Wang; Huancheng Liu; Jinjun Liu; Huitong Ding; Jing Yang 008; Guilin Chen (BIBM, 2020)

Locality adaptive preserving projections for linear dimensionality reduction. - Aiguo Wang; Shenghui Zhao; Jinjun Liu; Jing Yang 008; Li Liu 001; Guilin Chen (Expert Syst. Appl., 2020)

An efficient causal structure learning algorithm for linear arbitrarily distributed continuous data. - Jing Yang 008; Na Li; Ning An 001; Yu Chen 018; Gil Alterovitz (J. Supercomput., 2020)

Causal structure learning of nonlinear additive noise model based on streaming feature. - Jing Yang 008; Gaojin Fan; Anbo Shen; Aiguo Wang (ICDM (Workshops), 2021)

Additive Noise Model Structure Learning Based on Rank Statistics. - Jing Yang 008; Gaojin Fan; Kai Xie; Qiqi Chen; Aiguo Wang (KSEM, 2021)

Regularized Sparse Modelling for Microarray Missing Value Estimation. - Aiguo Wang; Jing Yang 008; Ning An 001 (IEEE Access, 2021)

Additive noise model structure learning based on rank correlation. - Jing Yang 008; Gaojin Fan; Kai Xie; Qiqi Chen; Aiguo Wang (Inf. Sci., 2021)

A Causal Network Construction Algorithm Based on Partial Rank Correlation on Time Series. - Jing Yang 008; Qiqi Chen (IJCNN, 2022)

Causal Discovery on Non-Euclidean Data. - Jing Yang 008; Kai Xie; Ning An 001 (KDD, 2022)

Causal Structure Learning Algorithm Based on Partial Rank Correlation under Additive Noise Model. - Jing Yang 008; Liufeng Jiang; Kai Xie; Qiqi Chen; Aiguo Wang (Appl. Artif. Intell., 2022)

Ensemble feature selection for stable biomarker identification and cancer classification from microarray expression data. - Aiguo Wang; Huancheng Liu; Jing Yang 008; Guilin Chen (Comput. Biol. Medicine, 2022)

Causal Discovery via the Subsample Based Reward and Punishment Mechanism. - Jing Yang 008; Ting Lu; Fan Kuai (PRCV (3), 2023)

Online Streaming Features Causal Discovery Algorithm Based on Partial Rank Correlation. - Jing Yang 008; Liufeng Jiang; Anbo Shen; Aiguo Wang (IEEE Trans. Artif. Intell., 2023)

Lung nodule detection algorithm based on rank correlation causal structure learning. - Jing Yang 008; Liufeng Jiang; Kai Xie; Qiqi Chen; Aiguo Wang (Expert Syst. Appl., 2023)

Construction of time series causal network based on partial rank correlation. - Jing Yang 008; Jiayao Huang; Qiqi Chen (Knowl. Based Syst., 2024)

Additive Noise Model Structure Learning Based on Spatial Coordinates. - Jing Yang 008; Ting Lu; Youjie Zhu (IEEE Trans. Artif. Intell., 2024)

A semantic structure-based emotion-guided model for emotion-cause pair extraction. - Yuwei Wang; Yuling Li 001; Kui Yu; Jing Yang 008 (Pattern Recognit., 2025)