Limin Wang - RankMe

60 papers A 1B 2Journal 48Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	From news to trends: a financial time series forecasting framework with LLM-driven news sentiment analysis and selective state spaces. J. Intell. Inf. Syst. Renjie Wang, Minghui Sun, Limin Wang
2025	J	`jnl`	Probability knowledge acquisition from unlabeled instance based on dual learning. Knowl. Inf. Syst. Yuetan Zhao, Limin Wang, Xinyu Zhu, Taosheng Jin, Minghui Sun, Xiongfei Li
2024	J	`jnl`	Efficient heuristics for learning scalable Bayesian network classifier from labeled and unlabeled data. Appl. Intell. Limin Wang, Junjie Wang, Lu Guo, Qilong Li
2024	J	`jnl`	Learning Balanced Bayesian Classifiers From Labeled and Unlabeled Data. IEEE Trans. Big Data Lu Guo, Limin Wang, Qilong Li, Kuo Li
2024	J	`jnl`	Learning high-dependence Bayesian network classifier with robust topology. Expert Syst. Appl. Limin Wang, Lingling Li, Qilong Li, Kuo Li
2023	J	`jnl`	Exploiting the implicit independence assumption for learning directed graphical models. Intell. Data Anal. Limin Wang, Junyang Wei, Kuo Li, Jiaping Zhou
2023	J	`jnl`	Exploring complex multivariate probability distributions with simple and robust bayesian network topology for classification. Appl. Intell. Lanni Wang, Limin Wang, Lu Guo, Qilong Li, Xiongfei Li
2023	J	`jnl`	Selective A J. Exp. Theor. Artif. Intell. Shenglei Chen, Xin Ma, Linyuan Liu, Limin Wang
2022	J	`jnl`	Alleviating the attribute conditional independence and I.I.D. assumptions of averaged one-dependence estimator by double weighting. Knowl. Based Syst. Limin Wang, Yibin Xie, Meng Pang, Junyang Wei
2022	J	`jnl`	Identification of informational and probabilistic independence by adaptive thresholding. Intell. Data Anal. Kuo Li, Aimin Wang, Limin Wang, Hangqi Fan, Shuai Zhang
2022	J	`jnl`	Learning causal Bayesian networks based on causality analysis for classification. Eng. Appl. Artif. Intell. Limin Wang, Jiaping Zhou, Junyang Wei, Meng Pang, Minghui Sun
2022	J	`jnl`	Semi-supervised learning for k-dependence Bayesian classifiers. Appl. Intell. Limin Wang, Xinhao Zhang, Kuo Li, Shuai Zhang
2022	J	`jnl`	Semi-supervised weighting for averaged one-dependence estimators. Appl. Intell. Limin Wang, Shuai Zhang, Musa Mammadov, Kuo Li, Xinhao Zhang, Siyuan Wu
2022	J	`jnl`	Stochastic optimization for bayesian network classifiers. Appl. Intell. Yi Ren, Limin Wang, Xiongfei Li, Meng Pang, Junyang Wei
2021	—	`conf`	2-Thumbs Typing: A Novel Bimanual Text Entry Method in Virtual Reality Environments. VR Workshops Zigang Zhang, Minghui Sun, Boyu Gao, Limin Wang
2021	J	`jnl`	A novel approach to fully representing the diversity in conditional dependencies for learning Bayesian network classifier. Intell. Data Anal. Limin Wang, Peng Chen, Shenglei Chen, Minghui Sun
2021	J	`jnl`	Alleviating the independence assumptions of averaged one-dependence estimators by model weighting. Intell. Data Anal. Limin Wang, Peng Chen, Musa Mammadov, Yang Liu, Si-yuan Wu
2021	J	`jnl`	Averaged tree-augmented one-dependence estimators. Appl. Intell. He Kong, Xiaohu Shi, Limin Wang, Yang Liu, Musa Mammadov, Gaojie Wang
2021	J	`jnl`	Bagging k-dependence Bayesian network classifiers. Intell. Data Anal. Limin Wang, Sikai Qi, Yang Liu, Hua Lou, Xin Zuo
2021	J	`jnl`	Hierarchical Independence Thresholding for learning Bayesian network classifiers. Knowl. Based Syst. Yang Liu, Limin Wang, Musa Mammadov, Shenglei Chen, Gaojie Wang, Sikai Qi, Minghui Sun
2020	J	`jnl`	Efficient heuristics for learning Bayesian network from labeled and unlabeled data. Intell. Data Anal. Zhiyi Duan, Limin Wang, Minghui Sun
2020	J	`jnl`	Instance-based weighting filter for superparent one-dependence estimators. Knowl. Based Syst. Zhiyi Duan, Limin Wang, Shenglei Chen, Minghui Sun
2020	J	`jnl`	Learning semi-lazy Bayesian network classifier under the c.i.i.d assumption. Knowl. Based Syst. Yang Liu, Limin Wang, Musa Mammadov
2020	J	`jnl`	Model Weighting for One-Dependence Estimators by Measuring the Independence Assumptions. IEEE Access Hua Lou, Gaojie Wang, Limin Wang, Musa Mammadov
2020	J	`jnl`	PhoneCursor: Improving 3D Selection Performance With Mobile Device in AR. IEEE Access Minghui Sun, Mingming Cao, Limin Wang, Qian Qian
2020	J	`jnl`	Self-Adaptive Attribute Value Weighting for Averaged One-Dependence Estimators. IEEE Access Limin Wang, Jie Chen, Yang Liu, Minghui Sun
2019	J	`jnl`	"Watch Your Step": Precise Obstacle Detection and Navigation for Mobile Users Through Their Mobile Service. IEEE Access Minghui Sun, Pengcheng Ding, Jiageng Song, Miao Song, Limin Wang
2019	J	`jnl`	Discriminative Structure Learning of Bayesian Network Classifiers from Training Dataset and Testing Instance. Entropy Limin Wang, Yang Liu, Musa Mammadov, Minghui Sun, Sikai Qi
2019	J	`jnl`	Discriminatory Target Learning: Mining Significant Dependence Relationships from Labeled and Unlabeled Data. Entropy Zhiyi Duan, Limin Wang, Musa Mammadov, Hua Lou, Ming-Hui Sun
2019	J	`jnl`	How Much Do Emotional, Behavioral, and Cognitive Factors Actually Impact College Student Attitudes towards English Language Learning? A Quantitative and Qualitative Study. Inf. Xin Zuo, Regina Weaver, Julia MacRae, Limin Wang
2019	J	`jnl`	Model Matching: A Novel Framework to use Clustering Strategy to Solve the Classification Problem. IEEE Access Zhiyi Duan, Limin Wang, Minghui Sun
2019	J	`jnl`	Optimizing the Topology of Bayesian Network Classifiers by Applying Conditional Entropy to Mine Causal Relationships Between Attributes. IEEE Access Limin Wang, Gaojie Wang, Zhiyi Duan, Hua Lou, Minghui Sun
2019	J	`jnl`	Robust Structure Learning of Bayesian Network by Identifying Significant Dependencies. IEEE Access Yuguang Long, Limin Wang, Zhiyi Duan, Minghui Sun
2019	J	`jnl`	Structure Extension of Tree-Augmented Naive Bayes. Entropy Yuguang Long, Limin Wang, Minghui Sun
2019	J	`jnl`	Structure Learning of Bayesian Network Based on Adaptive Thresholding. Entropy Yang Zhang, Limin Wang, Zhiyi Duan, Minghui Sun
2019	J	`jnl`	Universal Target Learning: An Efficient and Effective Technique for Semi-Naive Bayesian Learning. Entropy Siqi Gao, Hua Lou, Limin Wang, Yang Liu, Tiehu Fan
2018	J	`jnl`	Efficient Heuristics for Structure Learning of Entropy Yang Liu, Limin Wang, Minghui Sun
2018	J	`jnl`	Investigating the effects of vibrotactile feedback on human performance in navigation tasks. Comput. Electr. Eng. Minghui Sun, Wenzhao Gu, Limin Wang, Liyan Dong, Qian Qian
2018	—	`conf`	Target Learning: A Novel Framework to Mine Significant Dependencies for Unlabeled Data. PAKDD (1) Limin Wang, Shenglei Chen, Musa Mammadov
2017	J	`jnl`	Label-Driven Learning Framework: Towards More Accurate Bayesian Network Classifiers through Discrimination of High-Confidence Labels. Entropy Yi Sun, Limin Wang, Minghui Sun
2017	J	`jnl`	Sample-Based Attribute Selective A IEEE Trans. Knowl. Data Eng. Shenglei Chen, Ana M. Martínez, Geoffrey I. Webb, Limin Wang
2017	J	`jnl`	Selective AnDE for large data learning: a low-bias memory constrained approach. Knowl. Inf. Syst. Shenglei Chen, Ana M. Martínez, Geoffrey I. Webb, Limin Wang
2017	—	`conf`	Weighted One-Dependence Forests Classifier. PAAP Guojing Zhong, Limin Wang
2016	J	`jnl`	Bayesian network classifiers based on Gaussian kernel density. Expert Syst. Appl. Shuang-Cheng Wang, Rui Gao, Limin Wang
2016	—	`conf`	Learning Based K-Dependence Bayesian Classifiers. ICCCS (2) Limin Wang, Yuanxiang Xie, Huisi Zhou, Yiming Wang, Jiangshan Guo
2015	J	`jnl`	General and Local: Averaged k-Dependence Bayesian Classifiers. Entropy Limin Wang, Haoyu Zhao, Minghui Sun, Yue Ning
2015	J	`jnl`	Learning a Flexible K-Dependence Bayesian Classifier from the Chain Rule of Joint Probability Distribution. Entropy Limin Wang, Haoyu Zhao
2014	J	`jnl`	How to Mine Information from Each Instance to Extract anAbbreviated and Credible Logical Rule. Entropy Limin Wang, Minghui Sun, Chunhong Cao
2011	J	`jnl`	Implementation of a scalable decision forest model based on information theory. Expert Syst. Appl. Limin Wang, Xuebai Zang
2010	J	`jnl`	Induction of a Novel Hybrid Decision Forest Model based on Information Theory. J. Softw. Limin Wang, Xuebai Zang, Peijuan Xu
2010	—	`conf`	The Geometric Constraint Solving Based on the Quantum Particle Swarm. RSKT Chunhong Cao, Limin Wang, Wenhui Li
2009	—	`conf`	Exploring Logical Rules Based on Causal Semantics Analysis of Relational Data. JCAI YaoFu Cao, Limin Wang, Xin Zuo
2008	J	`jnl`	Research on Decision Forest Learning Algorithm. Comput. Inf. Sci. Limin Wang, Xiongfei Li
2007	B	`conf`	Finding the Optimal Feature Representations for Bayesian Network Learning. PAKDD Limin Wang, Chunhong Cao, Xiongfei Li, Haijun Li
2007	J	`jnl`	Inference and learning in hybrid probabilistic network. Frontiers Comput. Sci. China Limin Wang, Xuecheng Wang, Xiongfei Li
2006	—	`conf`	Flexible Neural Tree for Pattern Recognition. ISNN (1) Haijun Li, Zheng-Xuan Wang, Limin Wang, Senmiao Yuan
2006	—	`conf`	The Application of the Genetic algorithm-Ant algorithm in the Geometric Constraint SatisfactionGuidelines. IEEE ICCI Chunhong Cao, Bin Zhang, Limin Wang, Wenhui Li
2006	B	`conf`	The Parametric Design Based on Organizational Evolutionary Algorithm. PRICAI Chunhong Cao, Bin Zhang, Limin Wang, Wenhui Li
2005	—	`conf`	Orthogonally Rotational Transformation for Naive Bayes Learning. CIS (1) Limin Wang, Chunhong Cao, Haijun Li, Haixia Chen, Liyan Dong
2004	A	`conf`	Improving the Performance of Decision Tree: A Hybrid Approach. ER Limin Wang, Senmiao Yuan, Ling Li, Haijun Li