4 papers
BAPR: Bayesian amnesic piecewise-robust reinforcement learning for non-stationary continuous control
Yifan Zhang, Liang Zheng
Real-world control systems frequently operate under \emph{piecewise stationary} conditions, where dynamics remain stable for extended periods before undergoing abrupt regime change…
Uniform Inductive Spatio-Temporal Kriging
Lewei Xie, Haoyu Zhang, Yulong Chen +3
Inductive spatio-temporal kriging infers signals at unobserved locations from observed sensors, but real-world observations are often incomplete and exhibit block-wise missingness…
Rethinking Graph Domain Adaptation: A Spectral Contrastive Perspective
Haoyu Zhang, Yuxuan Cheng, Wenqi Fan +2
Graph neural networks (GNNs) have achieved remarkable success in various domains, yet they often struggle with domain adaptation due to significant structural distribution shifts a…
STRAP: Spatio-Temporal Pattern Retrieval for Out-of-Distribution Generalization
Haoyu Zhang, Wentao Zhang, Hao Miao +3
Spatio-Temporal Graph Neural Networks (STGNNs) have emerged as a powerful tool for modeling dynamic graph-structured data across diverse domains. However, they often fail to genera…