Prof. Zheng Liu Profile

Prof. Zheng Liu

Professor

SPIE Involvement:

Conference Program Committee | Author

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Company Website

Publications (27)

Proceedings Article | 9 May 2024 Presentation + Paper

Federated autoML learning for community building energy prediction

Rui Wang, Ling Bai, Rakiba Rayhana, Zheng Liu

Proceedings Volume 12952, 129520B (2024) https://doi.org/10.1117/12.3012012

KEYWORDS: Data modeling, Deep learning, Education and training, Machine learning, Statistical modeling, Power consumption, Statistical analysis, Error analysis, Transformers, Mathematical optimization

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Proceedings Article | 9 May 2024 Presentation + Paper

Efficient community building energy load forecasting through federated hypernetwork

Rui Wang, Rakiba Rayhana, Ling Bai, Zheng Liu

Proceedings Volume 12952, 1295207 (2024) https://doi.org/10.1117/12.3012011

KEYWORDS: Deep learning, Data modeling, Transformers, Education and training, Machine learning, Neural networks, Performance modeling, Visualization, Data privacy, Autoregressive models

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Proceedings Article | 9 May 2024 Presentation + Paper

Reconstruction of 3-D pipeline corrosion defect profile from MFL signals with deep learning approach

Jiatong Ling, Xiang Peng, Kevin Siggers, Matthias Peussner, Rakiba Rayhana, Zheng Liu

Proceedings Volume 12952, 129520A (2024) https://doi.org/10.1117/12.3010024

KEYWORDS: Corrosion, Inspection, 3D modeling, Deep learning, Magnetism, Image processing, Metals, 3D image reconstruction, Signal processing, Machine learning

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Proceedings Article | 9 May 2024 Presentation + Paper

Towards next-generation NDE: predictive analysis of pipeline integrity using machine learning

R. Rayhana, J. Ling, L. Bai, Z. Liu, M. Liao, C. Yang, A. Schnabel, S. Sonntag

Proceedings Volume 12952, 1295209 (2024) https://doi.org/10.1117/12.3009918

KEYWORDS: Corrosion, Pipes, Machine learning, Nondestructive evaluation, Artificial neural networks

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Proceedings Article | 25 April 2023 Poster + Paper

A multimodal fusion-based autoencoder for nondestructive evaluation of aircraft structures

Yanshuo Fan, Rakiba Rayhana, Yue Cao, Catalin Mandache, Zheng Liu

Proceedings Volume 12489, 124890M (2023) https://doi.org/10.1117/12.2658031

KEYWORDS: Image fusion, Nondestructive evaluation, Infrared imaging, X-rays, Thermal modeling, Infrared radiation, Image registration, X-ray imaging, Ultrasonography

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Proceedings Article | 25 April 2023 Presentation + Paper

Efficient community electricity load forecasting with transformer and federated learning

Rui Wang, Zheng Liu

Proceedings Volume 12489, 1248908 (2023) https://doi.org/10.1117/12.2657701

KEYWORDS: Data modeling, Deep learning, Education and training, Transformers, Machine learning, Buildings, Performance modeling, Power consumption, Neural networks, Design and modelling

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Proceedings Article | 25 April 2023 Presentation + Paper

Digital twin for predictive maintenance

Zheng Liu, Erik Blasch, Min Liao, Chunsheng Yang, Kazuhiko Tsukada, Norbert Meyendorf

Proceedings Volume 12489, 1248907 (2023) https://doi.org/10.1117/12.2660270

KEYWORDS: Data modeling, Analytic models, Computing systems, Sensors, Data fusion, Computer simulations, Analytics, Internet of things, Industry, Ecosystems

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Proceedings Article | 27 May 2022 Presentation + Paper

Advances in deep learning for infrared image processing and exploitation

Erik Blasch, Zheng Liu, Yufeng Zheng

Proceedings Volume 12107, 121071M (2022) https://doi.org/10.1117/12.2619140

KEYWORDS: Infrared imaging, Thermography, Image fusion, Infrared sensors, Sensors, Infrared radiation, Nondestructive evaluation, Image enhancement, Visualization, Inspection

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Proceedings Article | 14 April 2021 Presentation + Paper

Image translation to enhance IR2VIS image registration

Ran Zhang, Junchi Bin, Zheng Liu, Erik Blasch

Proceedings Volume 11733, 117330A (2021) https://doi.org/10.1117/12.2588034

KEYWORDS: Image fusion, Image enhancement, Image registration, Visualization, Image visualization, Image restoration, Infrared imaging, Machine learning, Infrared radiation, Information fusion

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Proceedings Article | 22 March 2021 Presentation + Paper

Fault detection and diagnosis for PZT sensors with electro-mechanical impedance technique by using one-dimensional convolutional autoencoder

Meng Kang, Teng Wang, Shashank Pant, Marc Genest, Zheng Liu

Proceedings Volume 11593, 1159309 (2021) https://doi.org/10.1117/12.2582273

KEYWORDS: Ferroelectric materials, Sensors, Defect detection, Structural health monitoring, Electromagnetic coupling, Temperature metrology, Machine learning, Environmental sensing, Data acquisition, Charge-coupled devices

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SPIE Journal Paper | 25 February 2021

Activation ensemble generative adversarial network transfer learning for image classification

Chengyuan Zhao, Xinyue Wang, Jun Jiang, Mingliang Gao, Zheng Liu

JEI, Vol. 30, Issue 01, 013016, (February 2021) https://doi.org/10.1117/12.10.1117/1.JEI.30.1.013016

KEYWORDS: Image classification, Data modeling, Gallium nitride, Neural networks, Detection and tracking algorithms, Video acceleration, Video, Statistical modeling, Performance modeling, Stochastic processes

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Proceedings Article | 19 May 2020 Presentation + Paper

Image fusion for context-aided automatic target recognition

Erik Blasch, Zheng Liu, Yufeng Zheng

Proceedings Volume 11394, 113940U (2020) https://doi.org/10.1117/12.2564876

KEYWORDS: Data modeling, Automatic target recognition, Image fusion, Systems modeling, Sensors, Information fusion, Unmanned aerial vehicles, Statistical analysis, Data communications, Machine learning

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SPIE Journal Paper | 19 May 2020 Open Access

Enhanced situation awareness through CNN-based deep multimodal image fusion

Shuo Liu, Huan Liu, Vijay John, Zheng Liu, Erik Blasch

OE, Vol. 59, Issue 05, 053103, (May 2020) https://doi.org/10.1117/12.10.1117/1.OE.59.5.053103

KEYWORDS: Image fusion, Target detection, Image enhancement, Signal to noise ratio, Mid-IR, Environmental sensing, Optical engineering, Convolution, Feature extraction, Sensors

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Proceedings Article | 22 April 2020 Presentation + Paper

Water pipe valve detection by using deep neural networks

R. Rayhana, Y. Jiao, Z. Liu, A. Wu, X. Kong

Proceedings Volume 11382, 1138205 (2020) https://doi.org/10.1117/12.2558886

KEYWORDS: Neural networks, Inspection, Robots, Data modeling, Video, Evolutionary algorithms, Performance modeling, Image processing

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Proceedings Article | 14 May 2019 Presentation + Paper

Multisource deep learning for situation awareness

Erik Blasch, Zheng Liu, Yufeng Zheng, Uttam Majumder, Alex Aved, Peter Zulch

Proceedings Volume 10988, 109880M (2019) https://doi.org/10.1117/12.2519236

KEYWORDS: Image fusion, Molybdenum, Information fusion, Data modeling, Image processing, Mid-IR, Data fusion, Sensors, Infrared imaging, Systems modeling

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Proceedings Article | 1 April 2019 Presentation + Paper

Concrete performance prediction using boosting smooth transition regression trees (BooST)

Uchenna Anyaoha, Xiang Peng, Zheng Liu

Proceedings Volume 10971, 109710I (2019) https://doi.org/10.1117/12.2518279

KEYWORDS: Data modeling, Performance modeling, Statistical modeling, Error analysis, Machine learning, Artificial neural networks, Reconstruction algorithms, Cements, Neural networks

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SPIE Journal Paper | 14 March 2019

In-depth analysis of Tsallis entropy-based measures for image fusion quality assessment

Araz Sholehkerdar, Javad Tavakoli, Zheng Liu

OE, Vol. 58, Issue 03, 033102, (March 2019) https://doi.org/10.1117/12.10.1117/1.OE.58.3.033102

KEYWORDS: Image fusion, Image quality, Quality measurement, Signal attenuation, Optical engineering, Sensors, Interference (communication), Night vision, Image acquisition, Image sensors

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Proceedings Article | 27 March 2018 Presentation + Paper

Soil-pipe interaction modeling for pipe behavior prediction with super learning based methods

Fang Shi, Xiang Peng, Huan Liu, Yafei Hu, Zheng Liu, Eric Li

Proceedings Volume 10602, 1060207 (2018) https://doi.org/10.1117/12.2300812

KEYWORDS: Sensors, Feature selection, Data modeling, Performance modeling, Machine learning, Data analysis

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SPIE Press Book | 27 March 2018

Multispectral Image Fusion and Colorization

Erik Blasch, Yufeng Zheng, Zheng Liu

KEYWORDS: Image fusion, Image processing, Image segmentation, Image quality, Image enhancement, Wavelets, Sensors, Visualization, Facial recognition systems, Infrared imaging

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Multispectral Image Fusion and Colorization

Proceedings Article | 20 April 2011 Paper

Pipe performance analysis with nonparametric regression

Zheng Liu, Yafei Hu, Wei Wu

Proceedings Volume 7983, 798337 (2011) https://doi.org/10.1117/12.880158

KEYWORDS: Cements, Data modeling, Artificial intelligence, Failure analysis, Soil science, Temperature metrology, Mars, Calcium, Safety, Analytical research

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Proceedings Article | 9 April 2010 Paper

Characterization of pitting corrosion on small diameter ductile iron pipe using thermography

Zheng Liu, Marc Genest, Dennis Krys

Proceedings Volume 7649, 764918 (2010) https://doi.org/10.1117/12.848633

KEYWORDS: Thermography, Corrosion, Inspection, Infrared imaging, Iron, Metals, Image segmentation, Feature extraction, Infrared lasers, Laser scanners

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Proceedings Article | 9 April 2010 Paper

Segmentation of laser range image for pipe anomaly detection

Zheng Liu, Dennis Krys

Proceedings Volume 7649, 76491Q (2010) https://doi.org/10.1117/12.848631

KEYWORDS: Image segmentation, Laser range finders, Inspection, Image processing, Laser processing, Distance measurement, Foam, Sensors, Laser damage threshold, Image processing algorithms and systems

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Proceedings Article | 20 March 2006 Paper

Application of Dempster-Shafer theory for fusion of lap joints inspection data

Zheng Liu, Abbas Fahr, Nezih Mrad

Proceedings Volume 6176, 61761J (2006) https://doi.org/10.1117/12.658527

KEYWORDS: Inspection, Corrosion, Data fusion, Probability theory, X-rays, Nondestructive evaluation, Data modeling, Associative arrays, Image fusion, Defense and security

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Proceedings Article | 9 May 2005 Paper

Fusion of visual and eddy current inspection results for the evaluation of corrosion damage in aircraft lap joints

Zheng Liu, David Forsyth, Saeed Safizadeh, Marc Genest, Abbas Fahr, Anton Marincak

Proceedings Volume 5768, (2005) https://doi.org/10.1117/12.598756

KEYWORDS: Corrosion, Calibration, Inspection, Data fusion, Nondestructive evaluation, Sensors, Optical inspection, Image fusion, Visualization, Reflectivity

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Proceedings Article | 1 August 2003 Paper

Quantitative interpretation of multifrequency eddy current data by using data fusion approaches

Zheng Liu, David Forsyth, Mir-Saeed Safizadeh, Brian Lepine, Abbas Fahr

Proceedings Volume 5046, (2003) https://doi.org/10.1117/12.484105

KEYWORDS: Corrosion, Calibration, Data fusion, Bayesian inference, Inspection, Image fusion, X-rays, Wavelets, Transform theory, Signal attenuation

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Proceedings Article | 1 August 2003 Paper

Preprocessing of Edge of Light images: towards a quantitative evaluation

Zheng Liu, David Forsyth, Anton Marincak

Proceedings Volume 5046, (2003) https://doi.org/10.1117/12.484104

KEYWORDS: Edge detection, Corrosion, Sensors, Image segmentation, Inspection, Hough transforms, Aerospace engineering, Image processing, Computing systems, Detection and tracking algorithms

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Proceedings Article | 18 August 1997 Paper

Tracking a rigid object in 3D from a single camera

Han Wang, Zheng Li

Proceedings Volume 3185, (1997) https://doi.org/10.1117/12.284031

KEYWORDS: Cameras, 3D modeling, Motion models, Detection and tracking algorithms, Autoregressive models, Model-based design, Calibration, 3D image processing, Feature extraction, Light sources and illumination

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Showing 5 of 27 publications

Conference Committee Involvement (8)

Digital Twins, AI, and NDE for Industry Applications and Energy Systems 2025

17 March 2025 | Vancouver, Canada

NDE 4.0, Predictive Maintenance, Communication, and Energy Systems: The Digital Transformation of NDE II

25 March 2024 | Long Beach, California, United States

NDE 4.0, Predictive Maintenance, Communication, and Energy Systems: The Digital Transformation of NDE

14 March 2023 | Long Beach, California, United States

NDE 4.0, Predictive Maintenance, and Communication and Energy Systems in a Globally Networked World

8 March 2022 | Long Beach, California, United States

NDE 4.0 and Smart Structures for Industry, Smart Cities, Communication, and Energy

8 March 2021 | Online Only, California, United States

Showing 5 of 8 Conference Committees

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