Software Reliability Growth Model with Partial Differential Equation for Various Debugging Processes

by Jiajun Xu, Shuzhen Yao
Published 2016-01-01

Neural Stochastic Differential Equations with Neural Processes Family Members for Uncertainty Estimation in Deep Learning

by Yongguang Wang, Shuzhen Yao
Published 2021-05-01

Incremental Kernel Principal Components Subspace Inference With Nyström Approximation for Bayesian Deep Learning

by Yongguang Wang, Shuzhen Yao, Tian Xu
Published 2021-01-01

Model Checking for Rare-Event in Control Logical Petri Nets Based on Importance Sampling

by Xu Tian, Danjiang Zhu, Shuzhen Yao
Published 2020-01-01

Processor Design Space Exploration via Statistical Sampling and Semi-Supervised Ensemble Learning

by Dandan Li, Shuzhen Yao, Ying Wang
Published 2018-01-01