1 citations · 1 across the 3 of their papers we have counts for
6 papers
Second-Order Image Characterization with Distortion and Secrecy
Cao Daming
Image-size characterization connects coding constraints to the probability carried by source cells and their output images. At second order, this connection must retain the joint f…
An Improved Time Series Anomaly Detection by Applying Structural Similarity
Tiejun Wang, Rui Wang, Xudong Mou +4
Effective anomaly detection in time series is pivotal for modern industrial applications and financial systems. Due to the scarcity of anomaly labels and the high cost of manual la…
CAPMix: Robust KPI Anomaly Detection for AIOps in Noisy and Dynamic Environments
Xudong Mou, Rui Wang, Tiejun Wang +11
Time-series anomaly detection is crucial in AIOps for maintaining large-scale service reliability. In production, streams of Key Performance Indicators (KPI) are high-dimensional,…
RoCA: Robust Contrastive One-class Time Series Anomaly Detection with Contaminated Data
Xudong Mou, Rui Wang, Bo Li +4
The accumulation of time-series signals and the absence of labels make time-series Anomaly Detection (AD) a self-supervised task of deep learning. Methods based on normality assump…
RobotDiffuse: Diffusion-Based Motion Planning for Redundant Manipulators with the ROP Obstacle Avoidance Dataset
Xudong Mou, Xiaohan Zhang, Tiejun Wang +5
Redundant manipulators, with their higher Degrees of Freedom (DoFs), offer enhanced kinematic performance and versatility, making them suitable for applications like manufacturing,…
Deep Contrastive One-Class Time Series Anomaly Detection
Rui Wang, Chongwei Liu, Xudong Mou +5
The accumulation of time-series data and the absence of labels make time-series Anomaly Detection (AD) a self-supervised deep learning task. Single-normality-assumption-based metho…