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Yunhua Hu

2 accepted papers

2024

GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting

AAAI 2024technical

Time series forecasts of different temporal granularity are widely used in real-world applications, e.g., sales prediction in days and weeks for making different inventory plans. However, these tasks are usually solved separately without ensuring coherence, which is crucial for aligning downstream d…

Cited by 0SourcePDFScholar
2023

SLOTH: Structured Learning and Task-Based Optimization for Time Series Forecasting on Hierarchies

AAAI 2023technical

Multivariate time series forecasting with hierarchical structure is widely used in real-world applications, e.g., sales predictions for the geographical hierarchy formed by cities, states, and countries. The hierarchical time series (HTS) forecasting includes two sub-tasks, i.e., forecasting and rec…

Cited by 4SourcePDFScholar