output
20182025
most citedTime Series Anomaly Detection for Cyber-Physical Systems via Neural System Identification and Bayesian Filtering

103 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions

8 papers

physics.med-ph2025★ 3 cited

3D Single-shot CEST imaging at 3T Based on True FISP Readout

Yupeng Wu, Qifan Pang, Zhichao Wang +9

To simultaneously fit multiple-pool effects, spectrally selective 3D CEST imaging typically requires single-shot readouts to save time. However, to date, FLASH and EPI have been th…

physics.med-ph2024★ 4 cited

Orientation independent quantification of macromolecular proton fraction in tissues with suppression of residual dipolar coupling

Zijian Gao, Ziqiang Yu, Ziqin Zhou +4

Quantitative magnetization transfer (MT) imaging enables non-invasive characterization of the macromolecular environment of tissues. However, recent work has highlighted that the q…

physics.flu-dyn2023★ 26 cited

Reconstruction and fast prediction of a 3D flow field based on a variational autoencoder

Gongyan Liu, Runze Li, Xiaozhou Zhou +2

Reconstruction and fast prediction of flow fields are important for the improvement of data center operations and energy savings. In this study, an artificial neural network (ANN)…

physics.med-ph2022★ 1 cited

Accelerating Chemical Exchange Saturation Transfer Imaging Using a Model-based Deep Neural Network With Synthetic Training Data

Jianping Xu, Tao Zu, Yi-Cheng Hsu +3

Purpose: To develop a model-based deep neural network for high-quality image reconstruction of undersampled multi-coil chemical exchange saturation transfer (CEST) data. Theory and…

cs.LG2021★ 103 cited

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

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).…

cs.LG2021★ 27 cited

System Design for a Data-driven and Explainable Customer Sentiment Monitor

An Nguyen, Stefan Foerstel, Thomas Kittler +8

The most important goal of customer services is to keep the customer satisfied. However, service resources are always limited and must be prioritized. Therefore, it is important to…

cs.CR2020

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

Cheng Feng, Xiao Liang, Daniel Schneegass +1

Recent advances in the Internet of Things (IoT) technology have led to a surge on the popularity of sensing applications. As a result, people increasingly rely on information obtai…

cs.NI2018★ 2 cited

Cooperative Communication based Connectivity Recovery for UAV Networks

Wen Tian, Zhenzhen Jiao, Min Liu +2

UAV networks often partition into separated clusters due to the high node and link dynamic. As a result, network connectivity recovery is an important issue in this area. Existing…