139 citations · 481 across the 17 of their papers we have counts for
17 papers
Molecular Representation Learning via Heterogeneous Motif Graph Neural Networks
Zhaoning Yu, Hongyang Gao
We consider feature representation learning problem of molecular graphs. Graph Neural Networks have been widely used in feature representation learning of molecular graphs. However…
MotifExplainer: a Motif-based Graph Neural Network Explainer
Zhaoning Yu, Hongyang Gao
We consider the explanation problem of Graph Neural Networks (GNNs). Most existing GNN explanation methods identify the most important edges or nodes but fail to consider substruct…
Efficient generation of optical bottle beams
Yuzhe Xiao, Zhaoning Yu, Raymond A. Wambold +5
Optical bottle beams can be used to trap atoms and small low-index particles. We introduce a figure of merit for optical bottle beams, specifically in the context of optical traps,…
Passive frequency conversion of ultraviolet images into the visible using perovskite nanocrystals
Jad Salman, Mahesh K. Gangishetty, Bryan E. Rubio-Perez +8
We demonstrate a passive down-conversion imaging system that converts broadband ultraviolet light to narrow-band green light while preserving the directionality of rays, and thus e…
Hyperspectral interference tomography of nacre
Jad Salman, Cayla A. Stifler, Alireza Shahsafi +12
Structural characterization of biologically formed materials is essential for understanding biological phenomena and their environment, and generating new bio-inspired engineering…
Adjoint-optimized nanoscale light extractor for nitrogen-vacancy centers in diamond
Raymond A. Wambold, Zhaoning Yu, Yuzhe Xiao +7
We designed a nanoscale light extractor (NLE) for efficient outcoupling and beaming of broadband light emitted by shallow, negatively charged nitrogen-vacancy (NV) centers in bulk…