Bivariate probability-based anomaly detection. - Hua Lou; Ye Zhu 002 (BESC, 2014)

Optimizing the Topology of Bayesian Network Classifiers by Applying Conditional Entropy to Mine Causal Relationships Between Attributes. - Limin Wang 007; Gaojie Wang; Zhiyi Duan; Hua Lou; Minghui Sun (IEEE Access, 2019)

Discriminatory Target Learning: Mining Significant Dependence Relationships from Labeled and Unlabeled Data. - Zhiyi Duan; Limin Wang 007; Musa Mammadov; Hua Lou; Ming-Hui Sun (Entropy, 2019)

Universal Target Learning: An Efficient and Effective Technique for Semi-Naive Bayesian Learning. - Siqi Gao; Hua Lou; Limin Wang 007; Yang Liu 170; Tiehu Fan (Entropy, 2019)

Model Weighting for One-Dependence Estimators by Measuring the Independence Assumptions. - Hua Lou; Gaojie Wang; Limin Wang 007; Musa Mammadov (IEEE Access, 2020)

Bagging k-dependence Bayesian network classifiers. - Limin Wang 007; Sikai Qi; Yang Liu 170; Hua Lou; Xin Zuo (Intell. Data Anal., 2021)

DFedCL: Decentralized Federated Collaborative Learning with Privacy Protection. - Jifei Hu; Yanli Li; Lifa Liu; Hua Lou (SMC, 2024)

Graph structure estimation neural network-based service classification. - Yanxinwen Li; Ziming Xie; Buqing Cao; Hua Lou (Int. J. Web Inf. Syst., 2024)