Kenli Li

An Efficient Hybrid Algorithm Based on HS and SFLA

2016 · International Journal of Pattern Recognition and Artificial Intelligence

When used for optimizing complex functions, harmony search (HS) and shuffled frog leaping algorithm (SFLA) algorithm tend to easily get trapped into local optima and result in low convergence precision. To overcome such shortcomings, a …

HMGOWM: A Hybrid Decision Mechanism for Automating Migration of Virtual Machines

2018 · IEEE Transactions on Services Computing

Large-scale data centers have been widely used for cloud services, and the stability of various cloud services has received additional attention from users. Although service disruptions are not as catastrophic as they once were, their …

Kullback-Leibler Divergence-Based Out-of-Distribution Detection with Flow-Based Generative Models

2020 · arXiv (Cornell University)

Recent research has revealed that deep generative models including flow-based models and Variational Autoencoders may assign higher likelihoods to out-of-distribution (OOD) data than in-distribution (ID) data. However, we cannot sample OOD data from the model. …