31 citations · 132 across the 10 of their papers we have counts for
11 papers
Urban Sensing Using Existing Fiber-Optic Networks
Jingxiao Liu, Haipeng Li, Hae Young Noh +3
The analysis of urban seismic signals offers valuable insights into urban environments and society. Yet, accurate detection and localization of seismic sources on a city-wide scale…
Characterizing Vehicle-Induced Distributed Acoustic Sensing Signals for Accurate Urban Near-Surface Imaging
Jingxiao Liu, Haipeng Li, Siyuan Yuan +2
Continuous seismic monitoring of the near-surface structure is crucial for urban infrastructure safety, aiding in the detection of sinkholes, subsidence, and other seismic hazards.…
TelecomTM: A Fine-Grained and Ubiquitous Traffic Monitoring System Using Pre-Existing Telecommunication Fiber-Optic Cables as Sensors
Jingxiao Liu, Siyuan Yuan, Yiwen Dong +2
We introduce the TelecomTM system that uses pre-existing telecommunication fiber-optic cables as virtual strain sensors to sense vehicle-induced ground vibrations for fine-grained…
GaitVibe+: Enhancing Structural Vibration-based Footstep Localization Using Temporary Cameras for In-home Gait Analysis
Yiwen Dong, Jingxiao Liu, Hae Young Noh
In-home gait analysis is important for providing early diagnosis and adaptive treatments for individuals with gait disorders. Existing systems include wearables and pressure mats,…
Spatial Deep Deconvolution U-Net for Traffic Analyses with Distributed Acoustic Sensing
Siyuan Yuan, Martijn van den Ende, Jingxiao Liu +4
Distributed Acoustic Sensing (DAS) that transforms city-wide fiber-optic cables into a large-scale strain sensing array has shown the potential to revolutionize urban traffic monit…
A hierarchical semantic segmentation framework for computer vision-based bridge damage detection
Jingxiao Liu, Yujie Wei, Bingqing Chen +1
Computer vision-based damage detection using remote cameras and unmanned aerial vehicles (UAVs) enables efficient and low-cost bridge health monitoring that reduces labor costs and…
Vibration-Based Bridge Health Monitoring using Telecommunication Cables
Jingxiao Liu, Siyuan Yuan, Bin Luo +2
Bridge Health Monitoring (BHM) enables early damage detection of bridges and is thus critical for avoiding more severe damages that might result in major financial and human losses…
Predicting Peak Stresses In Microstructured Materials Using Convolutional Encoder-Decoder Learning
Ankit Shrivastava, Jingxiao Liu, Kaushik Dayal +1
This work presents a machine learning approach to predict peak-stress clusters in heterogeneous polycrystalline materials. Prior work on using machine learning in the context of me…
HierMUD: Hierarchical Multi-task Unsupervised Domain Adaptation between Bridges for Drive-by Damage Diagnosis
Jingxiao Liu, Susu Xu, Mario Bergés +1
Monitoring bridge health using vibrations of drive-by vehicles has various benefits, such as no need for directly installing and maintaining sensors on the bridge. However, many of…
Knowledge transfer between bridges for drive-by monitoring using adversarial and multi-task learning
Jingxiao Liu, Mario Bergés, Jacobo Bielak +1
Monitoring bridge health using the vibrations of drive-by vehicles has various benefits, such as low cost and no need for direct installation or on-site maintenance of equipment on…
Damage-sensitive and domain-invariant feature extraction for vehicle-vibration-based bridge health monitoring
Jingxiao Liu, Bingqing Chen, Siheng Chen +3
We introduce a physics-guided signal processing approach to extract a damage-sensitive and domain-invariant (DS & DI) feature from acceleration response data of a vehicle traveling…