Jing Yang

35 papers A* 2B 2C 1Journal 21Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
A bilevel meta-task correlation network for bearings remaining useful life prediction with limited data.
Eng. Appl. Artif. Intell.
Jing Yang, Xiaomin Wang, Lin Liu, Jiuyong Li
2026 A* conf
Multistage Feedback-Driven Causal Discovery from Textual Data with Large Language Models.
WWW
Juntao Yang, Dayuan Cao, Kui Yu, Xiang Wang, Jing Yang, Lin Liu, Jiuyong Li
2025 J jnl
A semantic structure-based emotion-guided model for emotion-cause pair extraction.
Pattern Recognit.
Yuwei Wang, Yuling Li, Kui Yu, Jing Yang
2025 J jnl
Adaptive Dynamic Causal Meta Graph-Task Network for Remaining Useful Life Prediction With Extreme Long-Tailed Distribution Condition.
IEEE Trans. Ind. Informatics
Jing Yang, Xiaomin Wang, Minglan Zhang, Lin Liu, Jiuyong Li
2025 — conf
Causal Encoding Generative Model Based on Attention and KAN.
KSEM (5)
Jing Yang, Xiangbin Meng, Xuanli Qin, Xianjun Xu, Zhangxiang Hu
2025 J jnl
Meta-knowledge random attention update network for few-shot and anti-noise remaining useful life prediction.
Adv. Eng. Informatics
Jing Yang, Xiaomin Wang, Minglan Zhang, Lin Liu, Jiuyong Li
2024 J jnl
Additive Noise Model Structure Learning Based on Spatial Coordinates.
IEEE Trans. Artif. Intell.
Jing Yang, Ting Lu, Youjie Zhu
2024 J jnl
Construction of time series causal network based on partial rank correlation.
Knowl. Based Syst.
Jing Yang, Jiayao Huang, Qiqi Chen
2023 — conf
Causal Discovery via the Subsample Based Reward and Punishment Mechanism.
PRCV (3)
Jing Yang, Ting Lu, Fan Kuai
2023 J jnl
Lung nodule detection algorithm based on rank correlation causal structure learning.
Expert Syst. Appl.
Jing Yang, Liufeng Jiang, Kai Xie, Qiqi Chen, Aiguo Wang
2023 J jnl
Online Streaming Features Causal Discovery Algorithm Based on Partial Rank Correlation.
IEEE Trans. Artif. Intell.
Jing Yang, Liufeng Jiang, Anbo Shen, Aiguo Wang
2022 B conf
A Causal Network Construction Algorithm Based on Partial Rank Correlation on Time Series.
IJCNN
Jing Yang, Qiqi Chen
2022 A* conf
Causal Discovery on Non-Euclidean Data.
KDD
Jing Yang, Kai Xie, Ning An
2022 J jnl
Causal Structure Learning Algorithm Based on Partial Rank Correlation under Additive Noise Model.
Appl. Artif. Intell.
Jing Yang, Liufeng Jiang, Kai Xie, Qiqi Chen, Aiguo Wang
2022 J jnl
Ensemble feature selection for stable biomarker identification and cancer classification from microarray expression data.
Comput. Biol. Medicine
Aiguo Wang, Huancheng Liu, Jing Yang, Guilin Chen
2021 C conf
Additive Noise Model Structure Learning Based on Rank Statistics.
KSEM
Jing Yang, Gaojin Fan, Kai Xie, Qiqi Chen, Aiguo Wang
2021 J jnl
Additive noise model structure learning based on rank correlation.
Inf. Sci.
Jing Yang, Gaojin Fan, Kai Xie, Qiqi Chen, Aiguo Wang
2021 — conf
Causal structure learning of nonlinear additive noise model based on streaming feature.
ICDM (Workshops)
Jing Yang, Gaojin Fan, Anbo Shen, Aiguo Wang
2021 J jnl
Regularized Sparse Modelling for Microarray Missing Value Estimation.
IEEE Access
Aiguo Wang, Jing Yang, Ning An
2020 J jnl
An efficient causal structure learning algorithm for linear arbitrarily distributed continuous data.
J. Supercomput.
Jing Yang, Na Li, Ning An, Yu Chen, Gil Alterovitz
2020 J jnl
Locality adaptive preserving projections for linear dimensionality reduction.
Expert Syst. Appl.
Aiguo Wang, Shenghui Zhao, Jinjun Liu, Jing Yang, Li Liu, Guilin Chen
2020 — conf
Stable and Accurate Feature Selection from Microarray Data with Ensembled Fast Correlation Based Filter.
BIBM
Aiguo Wang, Huancheng Liu, Jinjun Liu, Huitong Ding, Jing Yang, Guilin Chen
2019 J jnl
A New Algorithm for Learning Large Bayesian Network Structure From Discrete Data.
IEEE Access
Weiping Zhang, Ziqiang Xu, Yu Chen, Jing Yang
2019 J jnl
Microarray Missing Value Imputation: A Regularized Local Learning Method.
IEEE ACM Trans. Comput. Biol. Bioinform.
Aiguo Wang, Ye Chen, Ning An, Jing Yang, Lian Li, Lili Jiang
2019 — conf
Predicting the Semantic Characteristics of Pulmonary Nodules using Feature Selection Based on Maximum-relevance Minimum-redundancy.
BIBM
Jing Yang, Anbo Shen, Kui Yu, Yu Chen
2019 J jnl
Semantic Features Prediction for Pulmonary Nodule Diagnosis Based on Online Streaming Feature Selection.
IEEE Access
Jing Yang, Na Li, Shuai Fang, Kui Yu, Yu Chen
2018 — conf
Semantic Characteristic Prediction of Pulmonary Nodules Using the Causal Discovery Based on Streaming Features Algorithm.
BIBM
Na Li, Jing Yang, Shuai Fang
2018 J jnl
Streaming feature-based causal structure learning algorithm with symmetrical uncertainty.
Inf. Sci.
Jing Yang, Xiaoxue Guo, Ning An, Aiguo Wang, Kui Yu
2017 J jnl
Wrapper-based gene selection with Markov blanket.
Comput. Biol. Medicine
Aiguo Wang, Ning An, Jing Yang, Guilin Chen, Lian Li, Gil Alterovitz
2016 J jnl
A Partial Correlation Statistic Structure Learning Algorithm Under Linear Structural Equation Models.
IEEE Trans. Knowl. Data Eng.
Jing Yang, Ning An, Gil Alterovitz
2015 B conf
Harmony search for feature selection in speech emotion recognition.
ACII
Yongsen Tao, Kunxia Wang, Jing Yang, Ning An, Lian Li
2014 — conf
Incremental wrapper based gene selection with Markov blanket.
BIBM
Aiguo Wang, Ning An, Guilin Chen, Jing Yang, Lian Li, Gil Alterovitz
2013 — conf
Causal discovery based on healthcare information.
BIBM
Jing Yang, Ning An, Gil Alterovitz, Lian Li, Aiguo Wang
2011 — conf
A Partial Correlation-Based Bayesian Network Structure Learning Algorithm under SEM.
PAKDD (2)
Jing Yang, Lian Li
2011 J jnl
A partial correlation-based Bayesian network structure learning algorithm under linear SEM.
Knowl. Based Syst.
Jing Yang, Lian Li, Aiguo Wang