Aggregating multiple types of complex data in stock market prediction: A model-independent framework. - Huiwen Wang; Shan Lu 008; Jichang Zhao (Knowl. Based Syst., 2019)

Trading Imbalance in Chinese Stock Market - A High-Frequency View. - Shan Lu 008; Jichang Zhao; Huiwen Wang (Entropy, 2020)

An effective intrusion detection approach using SVM with naïve Bayes feature embedding. - Jie Gu; Shan Lu 008 (Comput. Secur., 2021)

Risk spillover network structure learning for correlated financial assets: A directed acyclic graph approach. - Xiaokang Wang 002; Huiwen Wang; Zhichao Wang; Shan Lu 008; Ying Fan (Inf. Sci., 2021)

A classification framework for multivariate compositional data with Dirichlet feature embedding. - Jie Gu; Bin Cui 001; Shan Lu 008 (Knowl. Based Syst., 2021)

MD-MBPLS: A novel explanatory model in computational social science. - Shan Lu 008; Jichang Zhao; Huiwen Wang (Knowl. Based Syst., 2021)

Academic failures and co-location social networks in campus. - Shan Lu 008; Jichang Zhao; Huiwen Wang (EPJ Data Sci., 2022)

M-LDQ feature embedding and regression modeling for distribution-valued data. - Qing Zhao; Huiwen Wang; Shan Lu 008 (Inf. Sci., 2022)

Unraveling Effects of Health Short Videos' Instructor Movement Features on Viewer Engagement: An Interval-valued Data Analysis. - Mengli Yu; Shan Lu 008; Yichen Guo; Chee-Wee Tan (PACIS, 2023)

What matters for short videos' user engagement: A multiblock model with variable screening. - Shan Lu 008; Mengli Yu; Huiwen Wang (Expert Syst. Appl., 2023)

Skeleton estimation of directed acyclic graphs using partial least squares from correlated data. - Xiaokang Wang 002; Shan Lu 008; Rui Zhou; Huiwen Wang (Pattern Recognit., 2023)

Kent feature embedding for classification of compositional data with zeros. - Shan Lu 008; Wenjing Wang; Rong Guan (Stat. Comput., 2024)

Nonlinear directed acyclic graph estimation based on the kernel partial correlation coefficient. - Qiying Wu; Huiwen Wang; Shan Lu 008 (Inf. Sci., 2024)

IDGM: an approach to estimate the graphical model of interval-valued data. - Qiying Wu; Huiwen Wang; Shan Lu 008 (Stat. Comput., 2024)

Graphical model for mixed data types. - Qiying Wu; Huiwen Wang; Shan Lu 008; Hui Sun (Neurocomputing, 2025)

Graph convolutional network for compositional data. - Shan Lu 008; Huiwen Wang; Jichang Zhao (Inf. Fusion, 2025)

Variable selection of multiple types of data: a PLS approach. - Boao Kong; Huiwen Wang; Shan Lu 008 (Soft Comput., 2025)