Poster · Sydney

MDK-MoE: Multi-view Decomposed Kalman Mixture of Experts Framework for Non-stationary Time Series Forecasting

Name: MDK-MoE: Multi-view Decomposed Kalman Mixture of Experts Framework for Non-stationary Time Series Forecasting
Start: 2026-12-10T10:00:00+11:00
End: 2026-12-10T13:00:00+11:00
Location: Hall 1-4, ICC Sydney

When: Thu 10 Dec 2026, 10:00–13:00 AEDT
Where: Hall 1-4, ICC Sydney
Exhibition Centre, Level 1
Session: Sydney Poster Session 5
Authors: Rui Hou, Yao Liu, Ruilin Jiang, Mengyao Lu, Jingbo Wang, Lanyi Zhang, Qiao Liu
Organisations: University of Electronic Science and Technology of China
QRS classification: Time series and forecasting

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