3 papers
cs.LG2024
Acceleration Algorithms in GNNs: A Survey
Lu Ma, Zeang Sheng, Xunkai Li +5
Graph Neural Networks (GNNs) have demonstrated effectiveness in various graph-based tasks. However, their inefficiency in training and inference presents challenges for scaling up…
cs.CL2024
When Emotional Stimuli meet Prompt Designing: An Auto-Prompt Graphical Paradigm
Chenggian Ma, Xiangyu Zhao, Chunhui Zhang +2
With the development of Large Language Models (LLM), numerous prompts have been proposed, each with a rich set of features and their own merits. This paper summarizes the prompt wo…
physics.optics2021
Coupling-assisted quasi-bound states in the continuum in heterogeneous metasurfaces
Wei Huang, Songyi Liu, Dehui Zeng +4
In this paper, we present a Bound states in the continuum (BIC) metamaterial in heterogeneous structures based on the universal coupled mode theory. We find the more general physic…