Search Results for author: Cheng Feng

Found 7 papers, 2 papers with code

Time Series Anomaly Detection for Cyber-physical Systems via Neural System Identification and Bayesian Filtering

1 code implementation15 Jun 2021 Cheng Feng, Pengwei Tian

Recent advances in AIoT technologies have led to an increasing popularity of utilizing machine learning algorithms to detect operational failures for cyber-physical systems (CPS).

Anomaly Detection Time Series

Nonlinear Hawkes Processes in Time-Varying System

no code implementations9 Jun 2021 Feng Zhou, Quyu Kong, Yixuan Zhang, Cheng Feng, Jun Zhu

Hawkes processes are a class of point processes that have the ability to model the self- and mutual-exciting phenomena.

Bayesian Inference Point Processes +1

Stacking VAE with Graph Neural Networks for Effective and Interpretable Time Series Anomaly Detection

no code implementations18 May 2021 Wenkai Li, WenBo Hu, Ning Chen, Cheng Feng

Moreover, with a graph learning module, our model learns a sparse adjacency matrix to explicitly capture the stable interrelation structure information among multiple time series data channels for interpretable reconstruction of series patterns.

Anomaly Detection Graph Learning +1

Multi-Modal Active Learning for Automatic Liver Fibrosis Diagnosis based on Ultrasound Shear Wave Elastography

no code implementations2 Nov 2020 Lufei Gao, Ruisong Zhou, Changfeng Dong, Cheng Feng, Zhen Li, Xiang Wan, Li Liu

With the development of radiomics, noninvasive diagnosis like ultrasound (US) imaging plays a very important role in automatic liver fibrosis diagnosis (ALFD).

Active Learning

RelSen: An Optimization-based Framework for Simultaneously Sensor Reliability Monitoring and Data Cleaning

no code implementations19 Apr 2020 Cheng Feng, Xiao Liang, Daniel Schneegass, PengWei Tian

Therefore, in order to enhance the reliability of sensing applications, apart from the physical phenomena/processes of interest, we believe it is also highly important to monitor the reliability of sensors and clean the sensor data before analysis on them being conducted.

Decision Making

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