activity
20152021
most citedDetecting Label Noise via Leave-One-Out Cross-Validation

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

cs.LG20211 cited

Detecting Label Noise via Leave-One-Out Cross-Validation

Yu-Hang Tang, Yuanran Zhu, Wibe A. de Jong

We present a simple algorithm for identifying and correcting real-valued noisy labels from a mixture of clean and corrupted sample points using Gaussian process regression. A heter…

cs.DC2019

A High-Throughput Solver for Marginalized Graph Kernels on GPU

Yu-Hang Tang, Oguz Selvitopi, Doru Popovici +1

We present the design and optimization of a linear solver on General Purpose GPUs for the efficient and high-throughput evaluation of the marginalized graph kernel between pairs of…

physics.comp-ph2019

A GPU-accelerated package for simulation of flow in nanoporous source rocks with many-body dissipative particle dynamics

Yidong Xia, Ansel Blumers, Zhen Li +7

Mesoscopic simulations of hydrocarbon flow in source shales are challenging, in part due to the heterogeneous shale pores with sizes ranging from a few nanometers to a few micromet…

cs.LG2018

Prediction of Atomization Energy Using Graph Kernel and Active Learning

Yu-Hang Tang, Wibe A. de Jong

Data-driven prediction of molecular properties presents unique challenges to the design of machine learning methods concerning data structure/dimensionality, symmetry adaption, and…

physics.chem-ph2015

Mesoscale modeling of phase transition dynamics of thermoresponsive polymers

Zhen Li, Yu-Hang Tang, Xuejin Li +1

We present a non-isothermal mesoscopic model for investigation of the phase transition dynamics of thermoresponsive polymers. Since this model conserves energy in the simulations,…