8 citations · 10 across the 5 of their papers we have counts for
5 papers
On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective
Yue Huang, Chujie Gao, Siyuan Wu +63
Generative Foundation Models (GenFMs) have emerged as transformative tools. However, their widespread adoption raises critical concerns regarding trustworthiness across dimensions.…
Knowledge Distillation on Graphs: A Survey
Yijun Tian, Shichao Pei, Xiangliang Zhang +2
Graph Neural Networks (GNNs) have attracted tremendous attention by demonstrating their capability to handle graph data. However, they are difficult to be deployed in resource-limi…
A Generative deep learning approach for shape recognition of arbitrary objects from phaseless acoustic scattering data
W. W. Ahmed, M. Farhat, P. -Y. Chen +2
We propose and demonstrate a generative deep learning approach for the shape recognition of an arbitrary object from its acoustic scattering properties. The strategy exploits deep…
Data-Driven State Estimation for Light-Emitting Diode Underwater Optical Communication
Yingquan Li, Zhenwen Liang, Ibrahima N'Doye +3
Light-Emitting Diodes (LEDs) based underwater optical wireless communications (UOWCs), a technology with low latency and high data rates, have attracted significant importance for…
Analysis and Modeling of Social Influence in High Performance Computing Workloads
Shuai Zheng, Zon-Yin Shae, Xiangliang Zhang +2
Social influence among users (e.g., collaboration on a project) creates bursty behavior in the underlying high performance computing (HPC) workloads. Using representative HPC and c…