107 citations · 137 across the 3 of their papers we have counts for
3 papers
cs.LG2023★ 28 cited
A Survey on Uncertainty Quantification Methods for Deep Learning
Wenchong He, Zhe Jiang, Tingsong Xiao +2
Deep neural networks (DNNs) have achieved tremendous success in computer vision, natural language processing, and scientific and engineering domains. However, DNNs can make unexpec…
cs.LG2022★ 2 cited
An Explainer for Temporal Graph Neural Networks
Wenchong He, Minh N. Vu, Zhe Jiang +1
Temporal graph neural networks (TGNNs) have been widely used for modeling time-evolving graph-related tasks due to their ability to capture both graph topology dependency and non-l…
cs.LG2022★ 107 cited
STDEN: Towards Physics-Guided Neural Networks for Traffic Flow Prediction
Jiahao Ji, Jingyuan Wang, Zhe Jiang +2
High-performance traffic flow prediction model designing, a core technology of Intelligent Transportation System, is a long-standing but still challenging task for industrial and a…