Haoyu Zhang

Q‐learning for noise covariance adaptation in extended KALMAN filter

2020 · Asian Journal of Control

Abstract The extended Kalman filter (EKF) is a widely used method in navigation applications. The EKF suffers from noise covariance uncertainty, potentially causing it to perform poorly in practice. This paper attempts to suppress the …

Sampled Training and Node Inheritance for Fast Evolutionary Neural Architecture Search

2020 · arXiv (Cornell University)

The performance of a deep neural network is heavily dependent on its architecture and various neural architecture search strategies have been developed for automated network architecture design. Recently, evolutionary neural architecture search (ENAS) has received …

Rectifying Pseudo Labels

2021

Graph Convolutional Networks (GCNs) are powerful representation learning methods for non-Euclidean data. Compared with the Euclidean data, labeling the non-Euclidean data is more expensive. Meanwhile, most existing GCNs only utilize few labeled data but ignore …

PATVD:Vulnerability Detection Based on Pre-training Techniques and Adversarial Training

2022

Software vulnerability detection has attracted more and more attention. Traditional vulnerability detection methods require a lot of expertise to define the vulnerability features, whereas the deep learning based methods can perform the feature extraction automatically. …