Xingjian Wu

Aurora: Towards Universal Generative Multimodal Time Series Forecasting

CoRA: Boosting Time Series Foundation Models for Multivariate Forecasting through Correlation-aware Adapter

GCGNet: Graph-Consistent Generative Network for Time Series Forecasting with Exogenous Variables

Unlocking the Power of Mixture-of-Experts for Task-Aware Time Series Analytics

Towards a Multimodal Foundation Model for Time Series Analysis

ASTGI: Adaptive Spatio-Temporal Graph Interactions for Irregular Multivariate Time Series Forecasting

Multi-Scale Spatial-Temporal Hypergraph Network with Lead-Lag Structures for Stock Time Series Forecasting

Enhancing Time Series Forecasting through Selective Representation Spaces: A Patch Perspective

$K^2$VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting

DBLoss: Decomposition-based Loss Function for Time Series Forecasting

CATCH: Channel-Aware Multivariate Time Series Anomaly Detection via Frequency Patching