1 citations · 1 across the 4 of their papers we have counts for
5 papers
Behind a Simple Read: Understanding Work and Waiting in the Linux I/O Stack
Yang Shen, Kai Lu, Yong Dong +5
A simple read interface provides uniform semantics but unpredictable performance. Using synchronous large-buffer Linux reads, we decompose the buffered-read path into work volume,…
MARS: Multi-stage Accelerated Read Stack for Large-buffer Buffered Reads
Yang Shen, Kai Lu, Min Xie +3
Large-buffer reads increasingly connect data-intensive applications to high-speed storage. They amortize system-call overhead and create a larger in-kernel window for organizing pa…
ASC-Hook: fast and transparent system call hook for Arm
Yang Shen, Min Xie, Wenzhe Zhang +1
Intercepting system calls is crucial for tools that aim to modify or monitor application behavior. However, existing system call interception tools on the ARM platform still suffer…
Perseus: Leveraging Common Data Patterns with Curriculum Learning for More Robust Graph Neural Networks
Kaiwen Xia, Huijun Wu, Duanyu Li +3
Graph Neural Networks (GNNs) excel at handling graph data but remain vulnerable to adversarial attacks. Existing defense methods typically rely on assumptions like graph sparsity a…
Talos: A More Effective and Efficient Adversarial Defense for GNN Models Based on the Global Homophily of Graphs
Duanyu Li, Huijun Wu, Min Xie +3
Graph neural network (GNN) models play a pivotal role in numerous tasks involving graph-related data analysis. Despite their efficacy, similar to other deep learning models, GNNs a…