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ORCIDJing Yang 0008
Person information
- affiliation: Hefei University of Technology, School of Computer and Information, China
Other persons with the same name
- Jing Yang — disambiguation page
- Jing Yang 0001 — University of North Carolina at Charlotte (UNCC), Department of Computer Science, NC, USA (and 1 more)
- Jing Yang 0002
![[0000-0002-6009-864X]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-6009-864X")
— Pennsylvania State University, University Park, PA, USA (and 3 more) - Jing Yang 0003 — University of Virginia, Charlottesville, VA, USA
- Jing Yang 0004 — University of California at Berkeley, CA, USA
- Jing Yang 0005 — Yale University
- Jing Yang 0006 — The University of Sheffield, UK
- Jing Yang 0007 — Samsung Advanced Institute of Technology
- Jing Yang 0009 — Chinese Academy of Sciences, Shanghai Institutes for Biological Sciences, China (and 1 more)
- Jing Yang 0010 — Harbin Engineering University, College of Computer Science and Technology, China
- Jing Yang 0012 — Chongqing Institute of Technology, Department of Electrical Information Engineering, China
- Jing Yang 0013 — Taiyuan University of Technology, College of Information Engineering / Information Center, China
- Jing Yang 0014 — Xi'an Jiaotong University, Institute of Control Engineering, China
- Jing Yang 0015 — Yangzhou University, School of Information Engineering, China (and 2 more)
- Jing Yang 0016 — École Polytechnique, Palaiseau, France
- Jing Yang 0017 — Guizhou University, MoE Key Laboratory of Advanced Manufacturing Technology, Guiyang, China
- Jing Yang 0018 — Harbin Institute of Technology, Experimental and Innovation Practice Center, Shenzhen, China (and 1 more)
- Jing Yang 0019 — Henan University of Technology, College of Information Science and Engineering, Zhengzhou, China (and 1 more)
- Jing Yang 0020 — Central South University, School of Information Science and Engineering, Changsha, China
- Jing Yang 0021 — Dongbei University of Finance and Economics, School of Management Science and Engineering, Dalian, China
- Jing Yang 0022 — ETH Zurich, Institute for Pervasive Computing, Switzerland
- Jing Yang 0023 — East China Normal University, School of Computer Science and Technology, Shanghai, China
- Jing Yang 0024 — Huazhong University of Science and Technology, School of Electronic Information and Communications, Wuhan, China
- Jing Yang 0025 — Lund University, Department of Electrical and Information Technology, Sweden
- Jing Yang 0026 — Northwestern Polytechnical University, Shaanxi Provincial Key Laboratory of Speech and Image Information Processing, Xi'an, China (and 1 more)
- Jing Yang 0027 — China University of Mining and Technology, Xuzhou, China
- Jing Yang 0028 — Beijing Normal University, School of Management, Zhuhai Campus, China (and 1 more)
- Jing Yang 0029 — Chongqing University of Posts and Telecommunications, School of Communication and Information Engineering, China
- Jing Yang 0030 — Northwestern Polytechnical University, School of Power and Energy, Xi'an, China
- Jing Yang 0031 — State University of Campinas, Institute of Computing, SP, Brazil (and 1 more)
- Jing Yang 0032 — Chinese Academy of Sciences, Institute of Information Engineering, State Key Laboratory of Information Security, Beijing, China (and 1 more)
- Jing Yang 0033 — Zhengzhou University, School of Electrical and Information Engineering, China (and 1 more)
- Jing Yang 0034 — Nanjing Normal University, School of Geography, Key Laboratory of Virtual Geographic Environment, China
- Jing Yang 0035 — Nankai University, Chern Institute of Mathematics and LPMC / Tianjin Key Laboratory of Network and Data Security Technology, Tianjin, China
- Jing Yang 0036 — Wuhan University, Electronic Information School, Radar and Signal Processing Laboratory, China
- Jing Yang 0037 — Anhui University of Science and Technology, School of Mathematics and Big Data, Huainan, China
- Jing Yang 0038 — University of Cambridge, Core LAB, UK (and 3 more)
- Jing Yang 0039 — Guangxi University for Nationalities, College of Information Science and Engineering, Nanning, China (and 2 more)
- Jing Yang 0040 (aka: Jing (Roy) Yang) — Queensland University of Technology, Australia
- Jing Yang 0041 — Hefei University, School of Artificial Intelligence and Big Data, China (and 2 more)
- Jing Yang 0042 — Guizhou University, Department of Electrical Engineering, Guiyang, China
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2020 – today
- 2024
[j17]Jing Yang, Jiayao Huang, Qiqi Chen:
Construction of time series causal network based on partial rank correlation. Knowl. Based Syst. 295: 111865 (2024)- [j16]Jing Yang, Ting Lu, Youjie Zhu:
Additive Noise Model Structure Learning Based on Spatial Coordinates. IEEE Trans. Artif. Intell. 5(8): 3858-3871 (2024) - 2023
- [j15]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: 119381 (2023) - [j14]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): 197-208 (2023) - [c12]Jing Yang, Ting Lu, Fan Kuai:
Causal Discovery via the Subsample Based Reward and Punishment Mechanism. PRCV (3) 2023: 224-238 - 2022
- [j13]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) - [j12]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: 105208 (2022) - [c11]Jing Yang, Qiqi Chen:
A Causal Network Construction Algorithm Based on Partial Rank Correlation on Time Series. IJCNN 2022: 1-8 - [c10]Jing Yang, Kai Xie, Ning An:
Causal Discovery on Non-Euclidean Data. KDD 2022: 2202-2211 - 2021
- [j11]Aiguo Wang, Jing Yang, Ning An:
Regularized Sparse Modelling for Microarray Missing Value Estimation. IEEE Access 9: 16899-16913 (2021) - [j10]Jing Yang, Gaojin Fan, Kai Xie, Qiqi Chen, Aiguo Wang:
Additive noise model structure learning based on rank correlation. Inf. Sci. 571: 499-526 (2021) - [c9]Jing Yang, Gaojin Fan, Anbo Shen, Aiguo Wang:
Causal structure learning of nonlinear additive noise model based on streaming feature. ICDM (Workshops) 2021: 490-499 - [c8]Jing Yang, Gaojin Fan, Kai Xie, Qiqi Chen, Aiguo Wang:
Additive Noise Model Structure Learning Based on Rank Statistics. KSEM 2021: 128-139 - 2020
- [j9]Aiguo Wang, Shenghui Zhao, Jinjun Liu, Jing Yang, Li Liu, Guilin Chen:
Locality adaptive preserving projections for linear dimensionality reduction. Expert Syst. Appl. 151: 113352 (2020) - [j8]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): 3355-3363 (2020) - [c7]Aiguo Wang, Huancheng Liu, Jinjun Liu, Huitong Ding, Jing Yang, Guilin Chen:
Stable and Accurate Feature Selection from Microarray Data with Ensembled Fast Correlation Based Filter. BIBM 2020: 2996-2998
2010 – 2019
- 2019
- [j7]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: 61121-61135 (2019) - [j6]Weiping Zhang, Ziqiang Xu, Yu Chen, Jing Yang:
A New Algorithm for Learning Large Bayesian Network Structure From Discrete Data. IEEE Access 7: 121665-121674 (2019) - [j5]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): 980-993 (2019) - [c6]Jing Yang, Anbo Shen, Kui Yu, Yu Chen:
Predicting the Semantic Characteristics of Pulmonary Nodules using Feature Selection Based on Maximum-relevance Minimum-redundancy. BIBM 2019: 1318-1323 - 2018
- [j4]Jing Yang, Xiaoxue Guo, Ning An, Aiguo Wang, Kui Yu:
Streaming feature-based causal structure learning algorithm with symmetrical uncertainty. Inf. Sci. 467: 708-724 (2018) - [c5]Na Li, Jing Yang, Shuai Fang:
Semantic Characteristic Prediction of Pulmonary Nodules Using the Causal Discovery Based on Streaming Features Algorithm. BIBM 2018: 1009-1012 - 2017
- [j3]Aiguo Wang, Ning An, Jing Yang, Guilin Chen, Lian Li, Gil Alterovitz:
Wrapper-based gene selection with Markov blanket. Comput. Biol. Medicine 81: 11-23 (2017) - 2016
- [j2]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): 2552-2565 (2016) - 2015
- [c4]Yongsen Tao, Kunxia Wang, Jing Yang, Ning An, Lian Li:
Harmony search for feature selection in speech emotion recognition. ACII 2015: 362-367 - 2014
- [c3]Aiguo Wang, Ning An, Guilin Chen, Jing Yang, Lian Li, Gil Alterovitz:
Incremental wrapper based gene selection with Markov blanket. BIBM 2014: 74-79 - 2013
- [c2]Jing Yang, Ning An, Gil Alterovitz, Lian Li, Aiguo Wang:
Causal discovery based on healthcare information. BIBM 2013: 71-73 - 2011
- [j1]Jing Yang, Lian Li, Aiguo Wang:
A partial correlation-based Bayesian network structure learning algorithm under linear SEM. Knowl. Based Syst. 24(7): 963-976 (2011) - [c1]Jing Yang, Lian Li:
A Partial Correlation-Based Bayesian Network Structure Learning Algorithm under SEM. PAKDD (2) 2011: 63-74
Coauthor Index
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