HeteroMoE
K. Tang, Z. Zhong, H. Wu, H. Ding, G. Lv, Z. Zeng, “HeteroMoE: Spatio-Temporal Heterogeneity Learning via Gated Mixture-of-Experts Networks”, China National Conference on Big Data and Social Computing, pages 419–430, 2025.
TESTAM+
W. Guettala, Y.Zhao, L. Gulyas, “Less is More: Strategic Expert Selection Outperforms Ensemble Complexity in Traffic Forecasting”, Preprint, October 2025.
STGMoE
S. Hao, X. Zhao, J. Wang, X. Dai, X. Gong, "Spatiotemporal Graph Mixture of Experts for Highway Traffic Flow Prediction", IEEE Intelligent Transportation Systems Magazine, October 2025.
MEDC-STNet
D. Zang, J. Zhao, Z. Cui, B. Long, “Multiexpert dual-channel framework for robust urban traffic forecasting”, SPIE International Conference on Intelligent Traffic Systems and Smart City, ITSSC 2025, 2025.
STMMoE
K. Kang, M. Kuo, W. Li, "STMMoE: A Spatio-Temporal Multimodal Mixture-of-Experts Model for Urban Traffic Prediction”, Principle and Practice of Data and Knowledge, 2025.