5 papers
NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics
Jiawei Zhou, Woojeong Kim, Zhiying Xu +2
Understanding the traffic dynamics in networks is a core capability for automated systems to monitor and analyze networking behaviors, reducing expensive human efforts and economic…
Decouple and Decompose: Scaling Resource Allocation with DeDe
Zhiying Xu, Minlan Yu, Francis Y. Yan
Efficient resource allocation is essential in cloud systems to facilitate resource sharing among tenants. However, the growing scale of these optimization problems have outpaced co…
AGO: Boosting Mobile AI Inference Performance by Removing Constraints on Graph Optimization
Zhiying Xu, Hongding Peng, Wei Wang
Traditional deep learning compilers rely on heuristics for subgraph generation, which impose extra constraints on graph optimization, e.g., each subgraph can only contain at most o…
ALT: Boosting Deep Learning Performance by Breaking the Wall between Graph and Operator Level Optimizations
Zhiying Xu, Jiafan Xu, Hongding Peng +8
Deep learning models rely on highly optimized tensor libraries for efficient inference on heterogeneous hardware. Current deep compilers typically predetermine layouts of tensors a…
Automating Botnet Detection with Graph Neural Networks
Jiawei Zhou, Zhiying Xu, Alexander M. Rush +1
Botnets are now a major source for many network attacks, such as DDoS attacks and spam. However, most traditional detection methods heavily rely on heuristically designed multi-sta…