Adversarial attacks have been extensively studied in recent years since they can identify the vulnerability of deep learning models before deployed. In this paper, we consider the black-box adversa…
Longitudinal data clustering is challenging because the grouping has to account for the similarity of individual trajectories in the presence of sparse and irregular times of observation. This pape…
Developing a confidence interval for the ratio of two quantities is an important task in statistics because of its omnipresence in real world applications. For such a problem, the MOVER-R (method o…
The silicon photonic optical phased array (OPA) featured by high integration and agile beam steering exhibits greatly potential application in optical wireless communication (OWC). In this article,…
Multitask optimization aims to solve multiple optimization problems in parallel utilizing a single population. However, if the computing resources are limited, allocating the same computing resourc…
This paper studies the distributionally robust fair transit resource allocation model (DrFRAM) under the Wasserstein ambiguity set to optimize the public transit resource allocation during a pandem…
In this paper, we describe a simulation method to analyze the spectral properties of fiber Bragg gratings written in silica-based multimode graded-index fiber, and compare the simulation results wi…