2 papers
cs.LG2025
CRoC: Context Refactoring Contrast for Graph Anomaly Detection with Limited Supervision
Siyue Xie, Da Sun Handason Tam, Wing Cheong Lau
Graph Neural Networks (GNNs) are widely used as the engine for various graph-related tasks, with their effectiveness in analyzing graph-structured data. However, training robust GN…
cs.DC2024
Optimal Resource Efficiency with Fairness in Heterogeneous GPU Clusters
Zizhao Mo, Huanle Xu, Wing Cheong Lau
Ensuring the highest training throughput to maximize resource efficiency, while maintaining fairness among users, is critical for deep learning (DL) training in heterogeneous GPU c…