Xu Wang

One for Two: A Unified Framework for Imbalanced Graph Classification via Dynamic Balanced Prototype

PHAT: Modeling Period Heterogeneity for Multivariate Time Series Forecasting

Long-tailed Test-Time Adaptation for Vision-Language Models

STORM: Synergistic Cross-Scale Spatio-Temporal Modeling for Weather Forecasting

ReTaMTSF: Retrieval-Based Multimodal Framework for Multivariate Time Series Forecasting

MasHost Builds It All: Autonomous Multi-Agent System Directed by Reinforcement Learning

CBFlownet: Generating Higher-Quality Candidates via Combinatorial Bandits

Graph-Guided Reconstruction Diffusion for Multivariate Time Series Anomaly Detection

Cross-Domain Adaptive Multi-Scale Representation Learning for Unified Time Series Anomaly Detection

MG2FlowNet: Accelerating High-Reward Sample Generation via Enhanced MCTS and Greediness Control

Robust Spatio-Temporal Centralized Interaction for OOD Learning

SynEVO: A neuro-inspired spatiotemporal evolutional framework for cross-domain adaptation

TimeBase: The Power of Minimalism in Efficient Long-term Time Series Forecasting

Less but More: Linear Adaptive Graph Learning Empowering Spatiotemporal Forecasting

STOP! A Out-of-Distribution Processor with Robust Spatiotemporal Interaction

COFlowNet: Conservative Constraints on Flows Enable High-Quality Candidate Generation

TimeBase: The Power of Minimalism in Long-term Time Series Forecasting

Spatiotemporal Backward Inconsistency Learning Gives STGNNs Icing on the Cake

Neural ODE with Differentiable Hidden State for Irregular Time Series