33 citations · 43 across the 4 of their papers we have counts for
4 papers
Supervised Pretraining for Molecular Force Fields and Properties Prediction
Xiang Gao, Weihao Gao, Wenzhi Xiao +3
Machine learning approaches have become popular for molecular modeling tasks, including molecular force fields and properties prediction. Traditional supervised learning methods su…
Learning Regularized Positional Encoding for Molecular Prediction
Xiang Gao, Weihao Gao, Wenzhi Xiao +3
Machine learning has become a promising approach for molecular modeling. Positional quantities, such as interatomic distances and bond angles, play a crucial role in molecule physi…
Deep Retrieval: Learning A Retrievable Structure for Large-Scale Recommendations
Weihao Gao, Xiangjun Fan, Chong Wang +7
One of the core problems in large-scale recommendations is to retrieve top relevant candidates accurately and efficiently, preferably in sub-linear time. Previous approaches are mo…
Isomorph theory prediction for the dielectric loss variation along an isochrone
Wence Xiao, Jon Tofteskov, Troels V. Christensen +2
This paper derives a prediction for the variation of the amplitude of the dielectric loss from isomorph theory, and presents an experimental test of the prediction performed by mea…