Yue Bai

SLA$^2$P: Self-supervised Anomaly Detection with Adversarial Perturbation

2021 · arXiv (Cornell University)

Anomaly detection is a fundamental yet challenging problem in machine learning due to the lack of label information. In this work, we propose a novel and powerful framework, dubbed as SLA$^2$P, for unsupervised anomaly detection. …

Multi-modal Navigation Interaction Recommendation with a Driver Demand-Based Knowledge Graph

2021

The personalized human-vehicle interaction system provides the driver with a way of interacting that suits them, allowing them to interact with the car system without interfering with normal driving activities, which is essential for driving …