20 citations · 26 across the 7 of their papers we have counts for
7 papers
ADGym: Design Choices for Deep Anomaly Detection
Minqi Jiang, Chaochuan Hou, Ao Zheng +5
Deep learning (DL) techniques have recently found success in anomaly detection (AD) across various fields such as finance, medical services, and cloud computing. However, most of t…
Inverse source scattering problem for a nonlinear Schrödinger equation
Lei Zhang, Yue Zhao
We study an inverse source scattering problem for the Schrödinger equation with a quadratic nonlinearity. In general, uniqueness of inverse source problems can not be guaranteed at…
Stabilization with Prescribed Instant via Lyapunov Method
Jiyuan Kuang, Yabin Gao, Yizhuo Sun +4
This letter investigates the prescribed-instant stabilization problem for high-order integrator systems. In anothor word, the settling time under the presented controller is indepe…
Weakly Supervised Anomaly Detection: A Survey
Minqi Jiang, Chaochuan Hou, Ao Zheng +6
Anomaly detection (AD) is a crucial task in machine learning with various applications, such as detecting emerging diseases, identifying financial frauds, and detecting fake news.…
Online Kernel Sliced Inverse Regression
Wenquan Cui, Yue Zhao, Jianjun Xu +1
Online dimension reduction is a common method for high-dimensional streaming data processing. Online principal component analysis, online sliced inverse regression, online kernel p…
Hyperparameter Optimization for Unsupervised Outlier Detection
Yue Zhao, Leman Akoglu
Given an unsupervised outlier detection (OD) algorithm, how can we optimize its hyperparameter(s) (HP) on a new dataset, without any labels? In this work, we address this challengi…