Cheng Liu

ORCID: 0000-0003-4174-2046
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About
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Research Areas
  • Structural Health Monitoring Techniques
  • Mechanical Behavior of Composites
  • Infrastructure Maintenance and Monitoring
  • Ultrasonics and Acoustic Wave Propagation
  • Non-Destructive Testing Techniques
  • Hydrocarbon exploration and reservoir analysis
  • Hydraulic Fracturing and Reservoir Analysis
  • Inertial Sensor and Navigation
  • Asphalt Pavement Performance Evaluation
  • Advanced Sensor and Energy Harvesting Materials
  • Advanced Image Fusion Techniques
  • Image Processing Techniques and Applications
  • Metal Forming Simulation Techniques
  • Antenna Design and Analysis
  • High-Velocity Impact and Material Behavior
  • Metallurgy and Material Forming
  • Industrial Vision Systems and Defect Detection
  • Robotics and Sensor-Based Localization
  • Fiber-reinforced polymer composites
  • Traffic Prediction and Management Techniques
  • Psychometric Methodologies and Testing
  • Geomechanics and Mining Engineering
  • Energetic Materials and Combustion
  • Enhanced Oil Recovery Techniques
  • Advanced Sensor and Control Systems

City University of Hong Kong
2023-2025

Guangxi Center for Disease Prevention and Control
2025

Guangxi University
2024-2025

State Key Laboratory For Conservation and Utilization of Subtropical Agro-Bioresources
2025

Guangxi Veterinary Research Institute
2025

Beijing Normal University
2023-2024

Stanford University
2017-2024

Chinese Academy of Sciences
2002-2024

China Academy of Engineering Physics
2024

Harbin Institute of Technology
2024

Currently, there are numerous drawbacks associated with infrastructure health monitoring and management, such as inefficiency, subpar real-time functionality, demanding data requirements, high cost. Digital twin (DT), a hybrid of computational simulation an actual physical system, has been proposed to overcome these challenges become increasingly popular for modeling civil systems. This literature review summarized different methods build digital twins in infrastructure. In addition, this...

10.1016/j.iintel.2023.100050 article EN cc-by-nc-nd Journal of Infrastructure Intelligence and Resilience 2023-07-06

Abstract Drosophila have evolved strong mutualistic associations with yeast communities that best support their growth and survival, resulting in the development of novel niches. It has been suggested flies recognize cognate yeasts primarily based on rich repertoire volatile organic compounds (VOCs) derived from yeasts. Thus, it remained an exciting avenue to study whether fly spp. detect discriminate strains odor alone if so, how such resolution is achieved by olfactory system flies. We...

10.1038/srep14059 article EN cc-by Scientific Reports 2015-09-22

Abstract Damage detection and localization using data-driven approaches in carbon fiber reinforced plastics (CFRP) composite structures is becoming increasingly important. However, the performance of conventional methods degrades greatly under little amount data. In addition, scarcity data corresponding to defect/damage conditions CFRP lead extreme imbalance, which make this problem even more challenging. To address these challenges few training damage samples, paper proposes a few-shot meta...

10.1088/1361-665x/ad1ded article EN Smart Materials and Structures 2024-01-12

10.1016/j.autcon.2024.105375 article EN Automation in Construction 2024-03-20

10.1109/tits.2024.3416508 article EN IEEE Transactions on Intelligent Transportation Systems 2024-06-25

Classical swine fever (CSF) is an acute and often fatal disease caused by CSF virus (CSFV) infection. In the present study, we investigated transcriptional profiles of peripheral blood mononuclear cells (PBMCs) in pigs infected with CSFV. The results revealed that CSFV inhibits IFNα/β production, but up-regulates expression signal transducer activator transcription 1 (STAT1); this result was verified vitro. Interestingly, STAT1 typically a downstream target IFNα/β, raising question how can...

10.3390/biom15020200 article EN cc-by Biomolecules 2025-01-31

Abstract Precision segmentation of cracks is important in industrial non‐destructive testing, but the presence shadows actual environment can interfere with results cracks. To solve this problem, study proposes a two‐stage domain adaptation framework called GAN‐DANet for crack shadowed environments. In first stage, CrackGAN uses adversarial learning to merge features from shadow‐free and datasets, creating new dataset more domain‐invariant features. second CrackSeg network innovatively...

10.1111/mice.13451 article EN cc-by-nc-nd Computer-Aided Civil and Infrastructure Engineering 2025-03-02

In this paper, a bottom–up vehicle emission model is proposed to estimate real-time <formula formulatype="inline" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex Notation="TeX">$\hbox{CO}_{2}$</tex></formula> emissions using intelligent transportation system (ITS) technologies. the model, traffic data that were collected by ITS are fully utilized detailed technology (e.g., type) and driving pattern speed, acceleration, road slope) in network....

10.1109/tits.2012.2219529 article EN publisher-specific-oa IEEE Transactions on Intelligent Transportation Systems 2012-10-05

Dynamic deformation of a vehicle and relative position inertial navigation systems will cause large errors during information sharing. Such should be estimated compensated effectively, or it to output. Therefore, the model between angle dynamic lever arm is established verify that influence not coaxial but decussate. Then, estimation compensation methods for are proposed with real-time closed-loop correction lever-arm length. Simulation results demonstrate that, misalignment angle, method...

10.1109/tie.2013.2271595 article EN IEEE Transactions on Industrial Electronics 2013-06-27

Reliability of test scores is one the most pervasive psychometric concepts in measurement. coefficients based on a unifactor model for continuous indicators include maximal reliability ρ and an unweighted sum score–based ω, among many others. With increasing popularity item response theory, parallel measure π has been introduced using information function. This article studies relationship three coefficients. Exploiting equivalency between factor analysis normal ogive model, (2) dichotomous...

10.1177/0013164411407315 article EN Educational and Psychological Measurement 2011-08-25
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