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ORCIDLimin Wang 0007
Person information
- affiliation: Jilin University, Changchun, China
Other persons with the same name
- Limin Wang — disambiguation page
- Limin Wang 0001 — London School of Economics, UK
- Limin Wang 0002
![[0000-0002-3674-7718]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-3674-7718")
— Nanjing University, State Key Laboratory for Novel Software Technology, China (and 3 more) - Limin Wang 0003 — Hainan Normal University, School of Mathematics and Statistics, Haikou, China
- Limin Wang 0004 — Chongqing Jiaotong University, School of Economic and Management, China
- Limin Wang 0005 — Ministry of Agriculture, Key Laboratory of Agri-informatics, Beijing, China (and 1 more)
- Limin Wang 0006 — Chinese Academy of Sciences, State Key Laboratory of Multiphase Complex Systems, Beijing, China
Other persons with a similar name
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2020 – today
- 2024
[j39]Limin Wang, Junjie Wang, Lu Guo, Qilong Li:
Efficient heuristics for learning scalable Bayesian network classifier from labeled and unlabeled data. Appl. Intell. 54(2): 1957-1979 (2024)- [j38]Limin Wang, Lingling Li, Qilong Li, Kuo Li:
Learning high-dependence Bayesian network classifier with robust topology. Expert Syst. Appl. 239: 122395 (2024) - [j37]Lu Guo, Limin Wang, Qilong Li, Kuo Li:
Learning Balanced Bayesian Classifiers From Labeled and Unlabeled Data. IEEE Trans. Big Data 10(4): 330-342 (2024) - 2023
- [j36]Lanni Wang, Limin Wang, Lu Guo, Qilong Li, Xiongfei Li:
Exploring complex multivariate probability distributions with simple and robust bayesian network topology for classification. Appl. Intell. 53(24): 29799-29817 (2023) - [j35]Limin Wang, Junyang Wei, Kuo Li, Jiaping Zhou:
Exploiting the implicit independence assumption for learning directed graphical models. Intell. Data Anal. 27(4): 1143-1165 (2023) - [j34]Shenglei Chen, Xin Ma, Linyuan Liu, Limin Wang:
Selective AnDE based on attributes ranking by Maximin Conditional Mutual Information (MMCMI). J. Exp. Theor. Artif. Intell. 35(1): 151-170 (2023) - 2022
- [j33]Limin Wang, Shuai Zhang, Musa Mammadov, Kuo Li, Xinhao Zhang, Siyuan Wu:
Semi-supervised weighting for averaged one-dependence estimators. Appl. Intell. 52(4): 4057-4073 (2022) - [j32]Limin Wang, Jiaping Zhou, Junyang Wei, Meng Pang, Minghui Sun:
Learning causal Bayesian networks based on causality analysis for classification. Eng. Appl. Artif. Intell. 114: 105212 (2022) - [j31]Kuo Li, Aimin Wang, Limin Wang, Hangqi Fan, Shuai Zhang:
Identification of informational and probabilistic independence by adaptive thresholding. Intell. Data Anal. 26(5): 1139-1160 (2022) - [j30]Limin Wang, Yibin Xie, Meng Pang, Junyang Wei:
Alleviating the attribute conditional independence and I.I.D. assumptions of averaged one-dependence estimator by double weighting. Knowl. Based Syst. 250: 109078 (2022) - 2021
- [j29]He Kong, Xiaohu Shi, Limin Wang, Yang Liu, Musa Mammadov, Gaojie Wang:
Averaged tree-augmented one-dependence estimators. Appl. Intell. 51(7): 4270-4286 (2021) - [j28]Limin Wang, Peng Chen, Shenglei Chen, Minghui Sun:
A novel approach to fully representing the diversity in conditional dependencies for learning Bayesian network classifier. Intell. Data Anal. 25(1): 35-55 (2021) - [j27]Limin Wang, Sikai Qi, Yang Liu, Hua Lou, Xin Zuo:
Bagging k-dependence Bayesian network classifiers. Intell. Data Anal. 25(3): 641-667 (2021) - [j26]Limin Wang, Peng Chen, Musa Mammadov, Yang Liu, Si-Yuan Wu:
Alleviating the independence assumptions of averaged one-dependence estimators by model weighting. Intell. Data Anal. 25(6): 1431-1451 (2021) - [j25]Yang Liu, Limin Wang, Musa Mammadov, Shenglei Chen, Gaojie Wang, Sikai Qi, Minghui Sun:
Hierarchical Independence Thresholding for learning Bayesian network classifiers. Knowl. Based Syst. 212: 106627 (2021) - [c4]Zigang Zhang, Minghui Sun, Boyu Gao, Limin Wang:
2-Thumbs Typing: A Novel Bimanual Text Entry Method in Virtual Reality Environments. VR Workshops 2021: 530-531 - 2020
- [j24]Limin Wang, Jie Chen, Yang Liu, Minghui Sun:
Self-Adaptive Attribute Value Weighting for Averaged One-Dependence Estimators. IEEE Access 8: 27887-27900 (2020) - [j23]Minghui Sun, Mingming Cao, Limin Wang, Qian Qian:
PhoneCursor: Improving 3D Selection Performance With Mobile Device in AR. IEEE Access 8: 70616-70626 (2020) - [j22]Hua Lou, Gaojie Wang, Limin Wang, Musa Mammadov:
Model Weighting for One-Dependence Estimators by Measuring the Independence Assumptions. IEEE Access 8: 150465-150477 (2020) - [j21]Zhiyi Duan, Limin Wang, Minghui Sun:
Efficient heuristics for learning Bayesian network from labeled and unlabeled data. Intell. Data Anal. 24(2): 385-408 (2020) - [j20]Zhiyi Duan, Limin Wang, Shenglei Chen, Minghui Sun:
Instance-based weighting filter for superparent one-dependence estimators. Knowl. Based Syst. 203: 106085 (2020) - [j19]Yang Liu, Limin Wang, Musa Mammadov:
Learning semi-lazy Bayesian network classifier under the c.i.i.d assumption. Knowl. Based Syst. 208: 106422 (2020)
2010 – 2019
- 2019
- [j18]Minghui Sun, Pengcheng Ding, Jiageng Song, Miao Song, Limin Wang:
"Watch Your Step": Precise Obstacle Detection and Navigation for Mobile Users Through Their Mobile Service. IEEE Access 7: 66731-66738 (2019) - [j17]Zhiyi Duan, Limin Wang, Minghui Sun:
Model Matching: A Novel Framework to use Clustering Strategy to Solve the Classification Problem. IEEE Access 7: 76227-76240 (2019) - [j16]Yuguang Long, Limin Wang, Zhiyi Duan, Minghui Sun:
Robust Structure Learning of Bayesian Network by Identifying Significant Dependencies. IEEE Access 7: 116661-116675 (2019) - [j15]Limin Wang, Gaojie Wang, Zhiyi Duan, Hua Lou, Minghui Sun:
Optimizing the Topology of Bayesian Network Classifiers by Applying Conditional Entropy to Mine Causal Relationships Between Attributes. IEEE Access 7: 134271-134279 (2019) - [j14]Limin Wang, Yang Liu, Musa Mammadov, Minghui Sun, Sikai Qi:
Discriminative Structure Learning of Bayesian Network Classifiers from Training Dataset and Testing Instance. Entropy 21(5): 489 (2019) - [j13]Zhiyi Duan, Limin Wang, Musa Mammadov, Hua Lou, Ming-Hui Sun:
Discriminatory Target Learning: Mining Significant Dependence Relationships from Labeled and Unlabeled Data. Entropy 21(5): 537 (2019) - [j12]Yang Zhang, Limin Wang, Zhiyi Duan, Minghui Sun:
Structure Learning of Bayesian Network Based on Adaptive Thresholding. Entropy 21(7): 665 (2019) - [j11]Yuguang Long, Limin Wang, Minghui Sun:
Structure Extension of Tree-Augmented Naive Bayes. Entropy 21(8): 721 (2019) - [j10]Siqi Gao, Hua Lou, Limin Wang, Yang Liu, Tiehu Fan:
Universal Target Learning: An Efficient and Effective Technique for Semi-Naive Bayesian Learning. Entropy 21(8): 729 (2019) - 2018
- [j9]Minghui Sun, Wenzhao Gu, Limin Wang, Liyan Dong, Qian Qian:
Investigating the effects of vibrotactile feedback on human performance in navigation tasks. Comput. Electr. Eng. 67: 608-619 (2018) - [j8]Yang Liu, Limin Wang, Minghui Sun:
Efficient Heuristics for Structure Learning of k-Dependence Bayesian Classifier. Entropy 20(12): 897 (2018) - [c3]Limin Wang, Shenglei Chen, Musa Mammadov:
Target Learning: A Novel Framework to Mine Significant Dependencies for Unlabeled Data. PAKDD (1) 2018: 106-117 - 2017
- [j7]Zhiyi Duan, Limin Wang:
K-Dependence Bayesian Classifier Ensemble. Entropy 19(12): 651 (2017) - [j6]Yi Sun, Limin Wang, Minghui Sun:
Label-Driven Learning Framework: Towards More Accurate Bayesian Network Classifiers through Discrimination of High-Confidence Labels. Entropy 19(12): 661 (2017) - [j5]Shenglei Chen, Ana M. Martínez, Geoffrey I. Webb, Limin Wang:
Selective AnDE for large data learning: a low-bias memory constrained approach. Knowl. Inf. Syst. 50(2): 475-503 (2017) - [j4]Shenglei Chen, Ana M. Martínez, Geoffrey I. Webb, Limin Wang:
Sample-Based Attribute Selective An DE for Large Data. IEEE Trans. Knowl. Data Eng. 29(1): 172-185 (2017) - [c2]Guojing Zhong, Limin Wang:
Weighted One-Dependence Forests Classifier. PAAP 2017: 366-375 - 2016
- [j3]Shuang-Cheng Wang, Rui Gao, Limin Wang:
Bayesian network classifiers based on Gaussian kernel density. Expert Syst. Appl. 51: 207-217 (2016) - [c1]Limin Wang, Yuanxiang Xie, Huisi Zhou, Yiming Wang, Jiangshan Guo:
Learning Based K-Dependence Bayesian Classifiers. ICCCS (2) 2016: 553-566 - 2015
- [j2]Limin Wang, Haoyu Zhao, Minghui Sun, Yue Ning:
General and Local: Averaged k-Dependence Bayesian Classifiers. Entropy 17(6): 4134-4154 (2015) - 2014
- [j1]Limin Wang, Minghui Sun, Chunhong Cao:
How to Mine Information from Each Instance to Extract anAbbreviated and Credible Logical Rule. Entropy 16(10): 5242-5262 (2014)
Coauthor Index
aka: Ming-Hui Sun
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