Time series forecasting based on kernel mapping and high-order fuzzy cognitive maps. - Kaixin Yuan; Jing Liu 006; Shanchao Yang; Kai Wu 003; Fang Shen (Knowl. Based Syst., 2020)

Pareto Optimization for Influence Maximization in Social Networks. - Kai Wu 003; Jing Liu 006; Chao Wang 099; Kaixin Yuan (EMO, 2021)

Higher-Order Masked Graph Neural Networks for Traffic Flow Prediction. - Kaixin Yuan; Jing Liu 006; Jian Lou 001 (ICDM, 2022)

Broad fuzzy cognitive map systems for time series classification. - Kai Wu 003; Kaixin Yuan; Yingzhi Teng; Jing Liu 006; Licheng Jiao (Appl. Soft Comput., 2022)

Is Single Enough? A Joint Spatiotemporal Feature Learning Framework for Multivariate Time Series Prediction. - Kaixin Yuan; Kai Wu 003; Jing Liu 006 (IEEE Trans. Neural Networks Learn. Syst., 2024)

A Universal Subhypergraph-Assisted Embedding Framework for Both Homogeneous and Heterogeneous Networks. - Shibing Mo; Xiangyi Teng; Kai Wu 003; Jing Liu 006; Kaixin Yuan (IEEE Trans. Knowl. Data Eng., 2025)