Xue Chen

Estimating Principal Components under Adversarial Perturbations.

2020

Robustness is a key requirement for widespread deployment of machine learning algorithms, and has received much attention in both statistics and computer science. We study a natural model of robustness for high-dimensional statistical estimation problems …

AQ–ABS: Anti-Quantum Attribute-based Signature for EMRs Sharing with Blockchain

2022 · 2022 IEEE Wireless Communications and Networking Conference (WCNC)

With the advancement of medical science, the implementation of Electronic Medical Records (EMRs) for enhancing the efficiency and reliability of healthcare services has become a widespread phenomenon. However, EMRs are stored in hospitals and medical …

Derandomized Balanced Allocation

2017 · arXiv (Cornell University)

In this paper, we study the maximum loads of explicit hash families in the $d$-choice schemes when allocating sequentially $n$ balls into $n$ bins. We consider the \emph{Uniform-Greedy} scheme, which provides $d$ independent bins for …

Pulsar Candidate Classification Using a Computer Vision Method from a Combination of  Convolution and Attention

2023 · Research in Astronomy and Astrophysics

Abstract Artificial intelligence methods are indispensable to identifying pulsars from large amounts of candidates. We develop a new pulsar identification system that utilizes the CoAtNet to score two-dimensional features of candidates, implements a multilayer perceptron …