Kaixin Yuan

According to our database, Kaixin Yuan authored at least 6 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

A Universal Subhypergraph-Assisted Embedding Framework for Both Homogeneous and Heterogeneous Networks.

Shibing Mo, Xiangyi Teng, Kai Wu, Jing Liu, Kaixin Yuan

IEEE Trans. Knowl. Data Eng., September, 2025

2024

Is Single Enough? A Joint Spatiotemporal Feature Learning Framework for Multivariate Time Series Prediction.

Kaixin Yuan, Kai Wu, Jing Liu

IEEE Trans. Neural Networks Learn. Syst., April, 2024

2022

Broad fuzzy cognitive map systems for time series classification.

Kai Wu, Kaixin Yuan, Yingzhi Teng, Jing Liu, Licheng Jiao

Appl. Soft Comput., 2022

Higher-Order Masked Graph Neural Networks for Traffic Flow Prediction.

Kaixin Yuan, Jing Liu, Jian Lou

Proceedings of the IEEE International Conference on Data Mining, 2022

2021

Pareto Optimization for Influence Maximization in Social Networks.

Kai Wu, Jing Liu, Chao Wang, Kaixin Yuan

Proceedings of the Evolutionary Multi-Criterion Optimization, 2021

2020

Time series forecasting based on kernel mapping and high-order fuzzy cognitive maps.

Kaixin Yuan, Jing Liu, Shanchao Yang, Kai Wu, Fang Shen

Knowl. Based Syst., 2020