activity
20182023
most citedEdge-variational Graph Convolutional Networks for Uncertainty-aware Disease Prediction

5 citations · 5 across the 2 of their papers we have counts for

collaborators

5 papers

cs.LG2023

Consistency Regularization for Domain Generalization with Logit Attribution Matching

Han Gao, Kaican Li, Weiyan Xie +5

Domain generalization (DG) is about training models that generalize well under domain shift. Previous research on DG has been conducted mostly in single-source or multi-source sett…

eess.IV2020★ 5 cited

Edge-variational Graph Convolutional Networks for Uncertainty-aware Disease Prediction

Yongxiang Huang, Albert C. S. Chung

There is a rising need for computational models that can complementarily leverage data of different modalities while investigating associations between subjects for population-base…

cs.CV2019

CELNet: Evidence Localization for Pathology Images using Weakly Supervised Learning

Yongxiang Huang, Albert C. S. Chung

Despite deep convolutional neural networks boost the performance of image classification and segmentation in digital pathology analysis, they are usually weak in interpretability f…

physics.flu-dyn2018

Cascade and Intermittency of the Sea Surface Temperature in the Oceanic System

Yongxiang Huang, Lipo Wang

In this paper, we analyze the sea surface temperature obtained from the global drifter program. The experimental Fourier power spectrum shows a two-decade power-law behavior as $E_…

physics.flu-dyn2018

Taylor dispersion in two-dimensional bacterial turbulence

Yongxiang Huang, Ouwen Yu, Ming Chen +5

In this work, single particle dispersion was analyzed for a bacterial turbulence by retrieving the virtual Lagrangian trajectory via numerical integration of the Lagrangian equatio…