31 citations · 32 across the 4 of their papers we have counts for
4 papers
Evaluating and Enhancing Robustness of Deep Recommendation Systems Against Hardware Errors
Dongning Ma, Xun Jiao, Fred Lin +5
Deep recommendation systems (DRS) heavily depend on specialized HPC hardware and accelerators to optimize energy, efficiency, and recommendation quality. Despite the growing number…
Muckenhoupt-type weights and the intrinsic structure in Bessel Setting
Ji Li, Chong-Wei Liang, Fred Yu-Hsiang Lin +1
Fix and . Consider the Bessel operator (introduced by Muckenhoupt--Stein) on …
PyGFI: Analyzing and Enhancing Robustness of Graph Neural Networks Against Hardware Errors
Ruixuan Wang, Fred Lin, Daniel Moore +2
Graph neural networks (GNNs) have recently emerged as a promising learning paradigm in learning graph-structured data and have demonstrated wide success across various domains such…
Fast Dimensional Analysis for Root Cause Investigation in a Large-Scale Service Environment
Fred Lin, Keyur Muzumdar, Nikolay Pavlovich Laptev +3
Root cause analysis in a large-scale production environment is challenging due to the complexity of services running across global data centers. Due to the distributed nature of a…