2020

Conference

R. Rayhana, Y. Jiao, Z. Liu, A. Wu and X. Kong, “Water pipe valve detection by using deep neural networks”, Smart Structures and NDE for Industry 4.0, Smart Cities, and Energy Systems, vol.11382, pp.1138205-1-8, April 2020.

E. Blasch, Z. Liu and Y. Zheng, “Image fusion for context-aided automatic target recognition”, Automatic Target Recognition XXX, vol.11394, pp.113940U-1-12, May 2020.

Journal

F. Shi, X. Peng, Z. Liu, E. Li and Y. Hu, “A data-driven approach for pipe deformation prediction based on soil properties and weather conditions”, Sustainable Cities and Society, vol.55(102012), pp.1-11, April 2020.

J. Bin, B. Gardiner, E. Li and Z. Liu, “Multi-Source Urban Data Fusion for Property Value Assessment: A Case Study in Philadelphia”, Neurocomputing, vol.404(Sep), pp.70-83, May 2020.

A. Sholehkerdar, J. Tavakoli and Z. Liu, “Theoretical analysis of Tsallis entropy-based quality measure for weighted averaging image fusion”, Information Fusion, vol.58, pp.69-81, June 2020.

S. Liu, H. Liu, V. John, Z. Liu and E. Blasch, “Enhanced situation awareness through CNN-based deep multimodal image fusion”, Optical Engineering, vol.59(5), pp.053103, May 2020.

H. Liu, H. Wang, J. Bin, H. Dong, J. Ge, Z. Liu, Z. Yuan, J. Zhu and X. Luan, “Efficient noise reduction for the free induction decay signal from a proton precession magnetometer with time-frequency peak filtering”, Review of Scientific Instruments, vol.91(4), pp.1-19, April 2020.

U. Anyaoha, A. Zaji and Z. Liu, “Soft computing in estimating the compressive strength for high-performance concrete via concrete composition appraisal”, Construction and Building Materials, vol.257(119472), pp.1-11, October 2020.

T. Wang, Z. Liu, G. Lu and J. Liu, “Temporal-spatio graph based spectrum analysis for bearing fault detection and diagnosis”, IEEE Transactions on Industrial Electronics, vol.1(1), pp.1-1, February 2020.

R. Rayhana, G. Xiao and Z. Liu, “Internet of Things Empowered Smart Greenhouse”, IEEE Journal of Radio Frequency Identification, vol.1(1), pp.1-11, March 2020.

H. Liu, X. Wang, H. Wang, J. Bin, H. Dong, J. Ge, Z. Liu, Z. Yuan, J. Zhu and X. Luan, “Magneto-Inductive Magnetic Gradient Tensor System for Detection of Ferromagnetic Objects”, IEEE Magnetics Letters, vol.11, pp.1-5, February 2020.

G. Wang, Q. Li, L. Wang, Y. Zhang and Z. Liu, “CMFALL: A Cascade and Parallel Multi-state Fall Detection Algorithm Using Waist-mounted Tri-axial Accelerometer Signals”, IEEE Transactions on Consumer Electronics, vol.0(0), pp.1-1, June 2020.

X. Peng, U. Anyaoha, Z. Liu and K. Tsukada, “Analysis of Magnetic Flux Leakage (MFL) Data for Pipeline Corrosion Assessment”, IEEE Transactions on Magnetics, vol.56(6), pp.1-15, June 2020.

H. Liu, S. Liu, Z. Liu, N. Mrad and A. Milani, “Data-driven Approaches for Characterization of Delamination Damage in Composite Materials”, IEEE Transactions on Industrial Electronics, vol.1(1), pp.1-1, February 2020.

M. Khateri, F. Shabanzade, F. Mirzapour, A. Zaji and Z. Liu, “A Variational Approach for Fusion of Panchromatic and Multi-Spectral Images Using a New Spatial-Spectral Consistency Term”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol.1(1), pp.1-1, June 2020.

H. Liu, X. Wang, J. Bin, H. Dong, J. Ge, Z. Liu, Z. Yuan, J. Zhu and X. Luan, “Magnetic gradient full-tensor fingerprints for metallic objects detection of a security system based on anisotropic magnetoresistance sensor arrays”, AIP Advances, vol.10(015329), pp.1-9, January 2020.

2019

Journal

H. Liu, J. Bin, H. Dong, J. Ge, Z. Liu, Z. Yuan, J. Zhu and H. Zhang, “Adaptive pre-whiten filtering for the free induction decay transversal signal in weak magnetic detection”, Review of Scientific Instruments, vol.90, pp.104502, October 2019.

L. Lu, G. Zhu, X. Yang, K. Zhou, Z. Liu and W. Wu, “Affine Projection Algorithm based High-Order Error Power for Partial Discharge Denoising in Power Cables”, IEEE Transactions on Instrumentation and Measurement, pp.1-11, May 2019.

J. Xiang, J. Bin and Z. Liu, “Software as a service: the future of NDI data analysis in the cloud”, Insight - Non-Destructive Testing and Condition Monitoring, vol.61(6), pp.341-346, June 2019.

Q. Jin, Z. Liu, J. Bin and W. Ren, “Predictive Analytics of In-Service Bridge Structural Performance from SHM Data Mining Perspective: A Case Study”, Shock and Vibration, vol.2019, pp.1-11, July 2019.

F. Shabanzade, M. Khateri and Z. Liu, “MR and PET Image Fusion Using Nonparametric Bayesian Joint Dictionary Learning”, IEEE Sensors Letters, vol.3(7), pp.1-4, July 2019.

A. Sholehkerdar, J. Tavakoli and Z. Liu, “In-depth analysis of Tsallis entropy based measures for image fusion quality assessment”, Optical Engineering, vol.58(3), pp.033102-1-16, 2019.

Q. Li, L. Lu, Z. Li, W. Wu, Z. Liu, G. Jeon and X. Yang, “Coupled GAN with Relativistic Discriminators for Infrared and Visible Images Fusion”, IEEE Sensors Journal, vol.0(0), pp.1-22, June 2019.

T. Wang, Z. Liu and G. Lu, “Bearing Condition Monitoring based on the Indicator Generated in Time-frequency Domain”, Annual Conference of the PHM Society, vol.11(1), September 2019.

H. Liu, Z. Liu, B. Taylor and D. Haobin, “Matching pipeline In-line inspection data for corrosion characterization”, NDT & E International, vol.101, pp.44-52, January 2019.

J. Bin, B. Gardiner, Z. Liu and E. Li, “Attention-based multi-modal fusion for improved real estate appraisal: a case study in Los Angeles”, Multimedia Tools and Applications, vol.79(Nov), pp.31163–31184, July 2019.

H. Liu, H. Dong, J. Ge, Z. Liu, Z. Yuan, J. Zhu and H. Zhang, “Efficient Performance Optimization for the Magnetic Data Readout From a Proton Precession Magnetometer With Low-Rank Constraint”, IEEE Transactions on Magnetics, vol.55(8), pp.1-4, August 2019.

J. Bin, B. Gardiner, E. Li and Z. Liu, “Peer-Dependence Valuation Model for Real Estate Appraisal”, Data-Enabled Discovery and Applications, vol.3(2), pp.1-11, January 2019.

H. Liu, H. Dong, J. Ge, Z. Liu, Z. Yuan, J. Zhu and H. Zhang, “High-precision sensor tuning of proton precession magnetometer by combining principal component analysis and singular value decomposition”, IEEE Sensors Journal, vol.19(21), pp.9688-9696, July 2019.

H. Liu, Z. Liu, H. Dong, J. Ge, Z. Yuan, J. Zhu, H. Zhang and X. Zeng, “Recurrent Neural Network-Based Approach for Sparse Geomagnetic Data Interpolation and Reconstruction”, IEEE Access, vol.7, pp.33173-33179, March 2019.

H. Liu, H. Dong, J. Ge, Z. Liu, Z. Yuan, J. Zhu and H. Zhang, “A fusion of principal component analysis and singular value decomposition based multivariate denoising algorithm for free induction decay transversal data”, Review of Scientific Instruments, vol.90(3), pp.035116, March 2019.

F. Wang, W. Lin, Z. Liu and X. Qiu, “Pipeline Leak Detection and Location Based on Model-Free Isolation of Abnormal Acoustic Signals”, Energies, vol.12(16), pp.3172-1-18, August 2019.

F. Wang, W. Lin, Z. Liu and X. Qiu, “Pressure Signal Enhancement of Slowly Increasing Leaks Using Digital Compensator Based on Acoustic Sensor”, Sensors, vol.19(19), pp.4317, January 2019.

G. Wang, Q. Li, L. Wang, Y. Zhang and Z. Liu, “Elderly Fall Detection with an Accelerometer Using Lightweight Neural Networks”, Electronics, vol.8(11), pp.1354, November 2019.

V. John, Z. Liu, S. Mita and Y. Xu, “Stereo vision-based vehicle localization in point cloud maps using multiswarm particle swarm optimization”, Signal, Image and Video Processing, vol.13, pp.805-812, January 2019.

M. Gao, J. Jiang, G. Zou, V. John and Z. Liu, “RGB-D-Based Object Recognition Using Multimodal Convolutional Neural Networks: A Survey”, IEEE Access, vol.7(1), pp.43110-43136, 2019.

F. Ruffa, C. De, R. Morello and Z. Liu, “Temperature Sensing and Evaluation of Thermal Effects on Battery Packs for Automotive Applications”, IEEE Sensors Journal, vol.19(23), pp.11634-11645, December 2019.

X. Zhao, M. Jia, Z. Liu, P. Ding, C. Yang and L. Zhu, “Fault Diagnosis Framework of Rolling Bearing using Adaptive Sparse Contrative Auto-encoder with Optimized Unsupervised Extreme Learning Machine”, IEEE Access, vol.8, pp.99154-99170, December 2019.

Q. Jin and Z. Liu, “In-service Bridge SHM Monitoring Point Arrangement with Consideration of Structural Robustness”, Journal of Civil Structural Health Monitoring, vol.9(4), pp.543-554, September 2019.

H. Yun, C. Zhang, C. Hou and Z. Liu, “An Adaptive Approach for Ice Detection in Wind Turbine with Inductive Transfer Learning”, IEEE Access, vol.7, pp.122205-122213, July 2019.

Conference

U. Anyaoha, X. Peng and Z. Liu, “Concrete performance prediction using boosting smooth transition regression trees (BooST)”, Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XIII, vol.10971, pp.109710I, April 2019.

X. Fu, C. Zhang, X. Peng, L. Jian and Z. Liu, “Towards end-to-end pulsed eddy current classification and regression with CNN”, 2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), pp.1-5, May 2019.

X. Peng, C. Zhang, U. Anyaoha, K. Siggers and Z. Liu, “Parameterizing Magnetic Flux Leakage Data for Pipeline Corrosion Defect Retrieval”, 2019 IEEE 28th International Symposium on Industrial Electronics (ISIE), pp.2665-2670, June 2019.

G. Wang, Z. Liu and Q. Li, “Fall Detection with Neural Networks”, 2019 IEEE International Flexible Electronics Technology Conference (IFETC), pp.1-7, August 2019.

S. Liu, X. Peng and Z. Liu, “Image Quality Assessment through Contour Detection”, 2019 IEEE 28th International Symposium on Industrial Electronics (ISIE), pp.1413-1417, June 2019.

Z. Li, J. Yang, Z. Liu, X. Yang, G. Jeon and W. Wu, “Feedback network for image super-resolution”, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.3867-3876, 2019.

E. Blasch, Z. Liu, Y. Zheng, U. Majumder, A. Aved and P. Zulch, “Multisource deep learning for situation awareness”, SPIE Defense + Commercial Sensing, vol.10988, May 2019.

2018

2017

Journal

F. Wang, W. Lin, Z. Liu, S. Wu and X. Qiu, “Pipeline Leak Detection by Using Time-Domain Statistical Features”, IEEE Sensors Journal, vol.17(19), pp.6431-6442, August 2017.

Z. Liu, E. Blasch and J. Vijay, “Statistical comparison of image fusion algorithms: Recommendations”, Information Fusion, vol.36, pp.251-260, July 2017.

G. Bhatnagar and Z. Liu, “Multi-sensor fusion based on local activity measure”, IEEE Sensors Journal, vol.17(22), pp.7487-7496, October 2017.

R. Morello, S. C, Z. Liu, D. Slomovitz and S. Ranjan, “Advances on sensing technologies for smart cities and power grids: A review”, IEEE Sensors Journal, vol.17(23), pp.7596-7610, August 2017.

V. John, Q. Long, Y. Xu, Z. Liu and S. Mita, “Sensor Fusion and Registration of Lidar and Stereo Camera without Calibration Objects”, IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences, vol.100(2), pp.499-509, February 2017.

H. Liu, H. Dong, Z. Liu, J. Ge, B. Bai and C. Zhang, “Construction of an Overhauser magnetic gradiometer and the applications in geomagnetic observation and ferromagnetic target localization”, Journal of Instrumentation, vol.12(10), pp.T10008, October 2017.

L. Zhao, R. Ichise, Z. Liu, S. Mita and Y. Sasaki, “Ontology-based driving decision making: A feasibility study at uncontrolled intersections”, IEICE TRANSACTIONS on Information and Systems, vol.100(7), pp.1425-1439, July 2017.

H. Liu, H. Dong, Z. Liu, J. Ge, B. Bai and C. Zhang, “Noise characterization for the FID signal from proton precession magnetometer”, Journal of Instrumentation, vol.12, pp.1-14, July 2017.

V. John, S. Tsuchizawa, Z. Liu and S. Mita, “Fusion of thermal and visible cameras for the application of pedestrian detection”, Signal, Image and Video Processing, vol.11(3), pp.517-524, March 2017.

R. Morello, S. Mukhopadhyay, E. Gaura, Z. Liu, D. Slomovitz, S. Ranjan and U. Onyewuchi, “Guest editorial special issue on smart sensors for smart grids and smart cities”, IEEE Sensors Journal, vol.17(23), pp.7594-7595, November 2017.

Conference

F. Shi, Z. Liu and E. Li, “Prediction of pipe performance with ensemble machine learning based approaches”, 2017 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC), pp.408-414, August 2017.

Z. Liu and H. Liu, “Experimenting capacitive sensing technique for structural integrity assessment”, 2017 IEEE International Conference on Industrial Technology (ICIT), pp.922-927, March 2017.

V. John, Y. Xu, S. Mita, Q. Long and Z. Liu, “Registration of GPS and stereo vision for point cloud localization in intelligent vehicles using particle swarm optimization”, International Conference on Swarm Intelligence, pp.209-217, July 2017.

H. Liu, S. Liu, Z. Liu, N. Mrad and H. Dong, “Prognostics of damage growth in composite materials using machine learning techniques”, 2017 IEEE International Conference on Industrial Technology (ICIT), pp.1042-1047, March 2017.

J. Bin, S. Tang, Y. Liu, G. Wang, B. Gardiner, Z. Liu and E. Li, “Regression model for appraisal of real estate using recurrent neural network and boosting tree”, 2017 2nd IEEE international conference on computational intelligence and applications (ICCIA), pp.209-213, September 2017.

Book Chapter

R. Qi, C. Feng, Z. Liu and N. Mrad, “Blockchain-powered internet of things, e-governance and e-democracy”, pp.509-520, 2017.

2016

Journal

B. Qia, V. John, Z. Liu and S. Mita, “Pedestrian detection from thermal images: A sparse representation based approach”, Infrared Physics & Technology, vol.76, pp.157-167, May 2016.

Y. Song, W. Wu, Z. Liu, X. Yang, K. Liu and W. Lu, “An Adaptive Pansharpening Method by Using Weighted Least Squares Filter”, IEEE Geoscience and Remote Sensing Letters, vol.13(1), pp.18-22, January 2016.

Conference

Z. Liu, G. Monte and V. Huang, “ISO/IEC/IEEE P21451-001 standard for signal treatment of sensory data”, 2016 IEEE 25th International Symposium on Industrial Electronics (ISIE), pp.766-771, June 2016.

L. Zhao, R. Ichise, Y. Sasaki, Z. Liu and T. Yoshikawa, “Fast decision making using ontology-based knowledge base”, 2016 IEEE Intelligent Vehicles Symposium (Gothenburg, Sweden, June 19-22, 2016), pp.173-178, 2016.

2015

Journal

V. John, K. Yoneda, Z. Liu and S. Mita, “Saliency Map Generation by the Convolutional Neural Network for Real-Time Traffic Light Detection Using Template Matching”, Computational Imaging, IEEE Transactions on, vol.1(3), September 2015.

G. Bhatnagar, Q. Jonathan and Z. Liu, “A new contrast based multimodal medical image fusion framework”, Neurocomputing, vol.157, pp.143-152, June 2015.

G. Bhatnagar and Z. Liu, “A novel image fusion framework for night-vision navigation and surveillance”, Signal, Image and Video Processing, vol.9(1), pp.165-175, December 2015.

W. Wu, Z. Liu and Y. He, “Classification of defects with ensemble methods in the automated visual inspection of sewer pipes”, Pattern Analysis and Applications, vol.18(2), pp.263-276, May 2015.

Conference

Z. Liu, R. Morello and W. Wu, “Experiments on battery capacity estimation”, 2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings, pp.863-868, May 2015.

V. John, S. Mita, Z. Liu and B. Qi, “Pedestrian detection in thermal images using adaptive fuzzy C-means clustering and convolutional neural networks”, 2015 14th IAPR International Conference on Machine Vision Applications (MVA), pp.246-249, May 2015.

V. John, Q. Long, Z. Liu and S. Mita, “Automatic Calibration and Registration of Lidar and Stereo Camera without Calibration Objects”, IEEE International Conference on Vehicular Electronics and Safety, 2015.

Book Chapter

Z. Liu, H. Ukida, K. Niel and P. Ramuhalli, “Industrial inspection with open eyes: Advance with machine vision technology”, pp.1-37, 2015.

Book

Z. Liu, H. Ukida, P. Ramuhalli and K. Niel, “Integrated Imaging and Vision Techniques for Industrial Inspection”, pp.1-541, 2015.

2020

Conference

R. Rayhana, Y. Jiao, Z. Liu, A. Wu and X. Kong, “Water pipe valve detection by using deep neural networks”, Smart Structures and NDE for Industry 4.0, Smart Cities, and Energy Systems, vol.11382, pp.1138205-1-8, April 2020.

E. Blasch, Z. Liu and Y. Zheng, “Image fusion for context-aided automatic target recognition”, Automatic Target Recognition XXX, vol.11394, pp.113940U-1-12, May 2020.

Journal

F. Shi, X. Peng, Z. Liu, E. Li and Y. Hu, “A data-driven approach for pipe deformation prediction based on soil properties and weather conditions”, Sustainable Cities and Society, vol.55(102012), pp.1-11, April 2020.

J. Bin, B. Gardiner, E. Li and Z. Liu, “Multi-Source Urban Data Fusion for Property Value Assessment: A Case Study in Philadelphia”, Neurocomputing, vol.404(Sep), pp.70-83, May 2020.

A. Sholehkerdar, J. Tavakoli and Z. Liu, “Theoretical analysis of Tsallis entropy-based quality measure for weighted averaging image fusion”, Information Fusion, vol.58, pp.69-81, June 2020.

S. Liu, H. Liu, V. John, Z. Liu and E. Blasch, “Enhanced situation awareness through CNN-based deep multimodal image fusion”, Optical Engineering, vol.59(5), pp.053103, May 2020.

H. Liu, H. Wang, J. Bin, H. Dong, J. Ge, Z. Liu, Z. Yuan, J. Zhu and X. Luan, “Efficient noise reduction for the free induction decay signal from a proton precession magnetometer with time-frequency peak filtering”, Review of Scientific Instruments, vol.91(4), pp.1-19, April 2020.

U. Anyaoha, A. Zaji and Z. Liu, “Soft computing in estimating the compressive strength for high-performance concrete via concrete composition appraisal”, Construction and Building Materials, vol.257(119472), pp.1-11, October 2020.

T. Wang, Z. Liu, G. Lu and J. Liu, “Temporal-spatio graph based spectrum analysis for bearing fault detection and diagnosis”, IEEE Transactions on Industrial Electronics, vol.1(1), pp.1-1, February 2020.

R. Rayhana, G. Xiao and Z. Liu, “Internet of Things Empowered Smart Greenhouse”, IEEE Journal of Radio Frequency Identification, vol.1(1), pp.1-11, March 2020.

H. Liu, X. Wang, H. Wang, J. Bin, H. Dong, J. Ge, Z. Liu, Z. Yuan, J. Zhu and X. Luan, “Magneto-Inductive Magnetic Gradient Tensor System for Detection of Ferromagnetic Objects”, IEEE Magnetics Letters, vol.11, pp.1-5, February 2020.

G. Wang, Q. Li, L. Wang, Y. Zhang and Z. Liu, “CMFALL: A Cascade and Parallel Multi-state Fall Detection Algorithm Using Waist-mounted Tri-axial Accelerometer Signals”, IEEE Transactions on Consumer Electronics, vol.0(0), pp.1-1, June 2020.

X. Peng, U. Anyaoha, Z. Liu and K. Tsukada, “Analysis of Magnetic Flux Leakage (MFL) Data for Pipeline Corrosion Assessment”, IEEE Transactions on Magnetics, vol.56(6), pp.1-15, June 2020.

H. Liu, S. Liu, Z. Liu, N. Mrad and A. Milani, “Data-driven Approaches for Characterization of Delamination Damage in Composite Materials”, IEEE Transactions on Industrial Electronics, vol.1(1), pp.1-1, February 2020.

M. Khateri, F. Shabanzade, F. Mirzapour, A. Zaji and Z. Liu, “A Variational Approach for Fusion of Panchromatic and Multi-Spectral Images Using a New Spatial-Spectral Consistency Term”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol.1(1), pp.1-1, June 2020.

H. Liu, X. Wang, J. Bin, H. Dong, J. Ge, Z. Liu, Z. Yuan, J. Zhu and X. Luan, “Magnetic gradient full-tensor fingerprints for metallic objects detection of a security system based on anisotropic magnetoresistance sensor arrays”, AIP Advances, vol.10(015329), pp.1-9, January 2020.

2019

Journal

H. Liu, J. Bin, H. Dong, J. Ge, Z. Liu, Z. Yuan, J. Zhu and H. Zhang, “Adaptive pre-whiten filtering for the free induction decay transversal signal in weak magnetic detection”, Review of Scientific Instruments, vol.90, pp.104502, October 2019.

L. Lu, G. Zhu, X. Yang, K. Zhou, Z. Liu and W. Wu, “Affine Projection Algorithm based High-Order Error Power for Partial Discharge Denoising in Power Cables”, IEEE Transactions on Instrumentation and Measurement, pp.1-11, May 2019.

J. Xiang, J. Bin and Z. Liu, “Software as a service: the future of NDI data analysis in the cloud”, Insight - Non-Destructive Testing and Condition Monitoring, vol.61(6), pp.341-346, June 2019.

Q. Jin, Z. Liu, J. Bin and W. Ren, “Predictive Analytics of In-Service Bridge Structural Performance from SHM Data Mining Perspective: A Case Study”, Shock and Vibration, vol.2019, pp.1-11, July 2019.

F. Shabanzade, M. Khateri and Z. Liu, “MR and PET Image Fusion Using Nonparametric Bayesian Joint Dictionary Learning”, IEEE Sensors Letters, vol.3(7), pp.1-4, July 2019.

A. Sholehkerdar, J. Tavakoli and Z. Liu, “In-depth analysis of Tsallis entropy based measures for image fusion quality assessment”, Optical Engineering, vol.58(3), pp.033102-1-16, 2019.

Q. Li, L. Lu, Z. Li, W. Wu, Z. Liu, G. Jeon and X. Yang, “Coupled GAN with Relativistic Discriminators for Infrared and Visible Images Fusion”, IEEE Sensors Journal, vol.0(0), pp.1-22, June 2019.

T. Wang, Z. Liu and G. Lu, “Bearing Condition Monitoring based on the Indicator Generated in Time-frequency Domain”, Annual Conference of the PHM Society, vol.11(1), September 2019.

H. Liu, Z. Liu, B. Taylor and D. Haobin, “Matching pipeline In-line inspection data for corrosion characterization”, NDT & E International, vol.101, pp.44-52, January 2019.

J. Bin, B. Gardiner, Z. Liu and E. Li, “Attention-based multi-modal fusion for improved real estate appraisal: a case study in Los Angeles”, Multimedia Tools and Applications, vol.79(Nov), pp.31163–31184, July 2019.

H. Liu, H. Dong, J. Ge, Z. Liu, Z. Yuan, J. Zhu and H. Zhang, “Efficient Performance Optimization for the Magnetic Data Readout From a Proton Precession Magnetometer With Low-Rank Constraint”, IEEE Transactions on Magnetics, vol.55(8), pp.1-4, August 2019.

J. Bin, B. Gardiner, E. Li and Z. Liu, “Peer-Dependence Valuation Model for Real Estate Appraisal”, Data-Enabled Discovery and Applications, vol.3(2), pp.1-11, January 2019.

H. Liu, H. Dong, J. Ge, Z. Liu, Z. Yuan, J. Zhu and H. Zhang, “High-precision sensor tuning of proton precession magnetometer by combining principal component analysis and singular value decomposition”, IEEE Sensors Journal, vol.19(21), pp.9688-9696, July 2019.

H. Liu, Z. Liu, H. Dong, J. Ge, Z. Yuan, J. Zhu, H. Zhang and X. Zeng, “Recurrent Neural Network-Based Approach for Sparse Geomagnetic Data Interpolation and Reconstruction”, IEEE Access, vol.7, pp.33173-33179, March 2019.

H. Liu, H. Dong, J. Ge, Z. Liu, Z. Yuan, J. Zhu and H. Zhang, “A fusion of principal component analysis and singular value decomposition based multivariate denoising algorithm for free induction decay transversal data”, Review of Scientific Instruments, vol.90(3), pp.035116, March 2019.

F. Wang, W. Lin, Z. Liu and X. Qiu, “Pipeline Leak Detection and Location Based on Model-Free Isolation of Abnormal Acoustic Signals”, Energies, vol.12(16), pp.3172-1-18, August 2019.

F. Wang, W. Lin, Z. Liu and X. Qiu, “Pressure Signal Enhancement of Slowly Increasing Leaks Using Digital Compensator Based on Acoustic Sensor”, Sensors, vol.19(19), pp.4317, January 2019.

G. Wang, Q. Li, L. Wang, Y. Zhang and Z. Liu, “Elderly Fall Detection with an Accelerometer Using Lightweight Neural Networks”, Electronics, vol.8(11), pp.1354, November 2019.

V. John, Z. Liu, S. Mita and Y. Xu, “Stereo vision-based vehicle localization in point cloud maps using multiswarm particle swarm optimization”, Signal, Image and Video Processing, vol.13, pp.805-812, January 2019.

M. Gao, J. Jiang, G. Zou, V. John and Z. Liu, “RGB-D-Based Object Recognition Using Multimodal Convolutional Neural Networks: A Survey”, IEEE Access, vol.7(1), pp.43110-43136, 2019.

F. Ruffa, C. De, R. Morello and Z. Liu, “Temperature Sensing and Evaluation of Thermal Effects on Battery Packs for Automotive Applications”, IEEE Sensors Journal, vol.19(23), pp.11634-11645, December 2019.

X. Zhao, M. Jia, Z. Liu, P. Ding, C. Yang and L. Zhu, “Fault Diagnosis Framework of Rolling Bearing using Adaptive Sparse Contrative Auto-encoder with Optimized Unsupervised Extreme Learning Machine”, IEEE Access, vol.8, pp.99154-99170, December 2019.

Q. Jin and Z. Liu, “In-service Bridge SHM Monitoring Point Arrangement with Consideration of Structural Robustness”, Journal of Civil Structural Health Monitoring, vol.9(4), pp.543-554, September 2019.

H. Yun, C. Zhang, C. Hou and Z. Liu, “An Adaptive Approach for Ice Detection in Wind Turbine with Inductive Transfer Learning”, IEEE Access, vol.7, pp.122205-122213, July 2019.

Conference

U. Anyaoha, X. Peng and Z. Liu, “Concrete performance prediction using boosting smooth transition regression trees (BooST)”, Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XIII, vol.10971, pp.109710I, April 2019.

X. Fu, C. Zhang, X. Peng, L. Jian and Z. Liu, “Towards end-to-end pulsed eddy current classification and regression with CNN”, 2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), pp.1-5, May 2019.

X. Peng, C. Zhang, U. Anyaoha, K. Siggers and Z. Liu, “Parameterizing Magnetic Flux Leakage Data for Pipeline Corrosion Defect Retrieval”, 2019 IEEE 28th International Symposium on Industrial Electronics (ISIE), pp.2665-2670, June 2019.

G. Wang, Z. Liu and Q. Li, “Fall Detection with Neural Networks”, 2019 IEEE International Flexible Electronics Technology Conference (IFETC), pp.1-7, August 2019.

S. Liu, X. Peng and Z. Liu, “Image Quality Assessment through Contour Detection”, 2019 IEEE 28th International Symposium on Industrial Electronics (ISIE), pp.1413-1417, June 2019.

Z. Li, J. Yang, Z. Liu, X. Yang, G. Jeon and W. Wu, “Feedback network for image super-resolution”, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.3867-3876, 2019.

E. Blasch, Z. Liu, Y. Zheng, U. Majumder, A. Aved and P. Zulch, “Multisource deep learning for situation awareness”, SPIE Defense + Commercial Sensing, vol.10988, May 2019.

2018

Journal

Y. Huang, W. Li, M. Gao and Z. Liu, “Algebraic multi-grid based multi-focus image fusion using watershed algorithm”, IEEE Access, vol.6(1), pp.47082-47091, 2018.

V. John, A. Boyali, H. Tehrani, K. Ishimaru, M. Konishi, Z. Liu and S. Mita, “Estimation of Steering Angle and Collision Avoidance for Automated Driving using Deep Mixture of Experts”, IEEE Transactions on Intelligent Vehicles, vol.3(4), pp.571-584, December 2018.

Z. Liu, E. Blasch, G. Bhatnagar, V. John, W. Wu and R. S, “Fusing Synergistic Information from Multi-Sensor Images: An Overview from Implementation to Performance Assessment”, Information Fusion, vol.42, pp.127-145, 2018.

V. John, Z. Liu, S. Mita, C. Guo and K. Kidono, “Real-time road surface and semantic lane estimation using deep features”, Signal, Image and Video Processing, vol.12(6), pp.1133-1140, September 2018.

H. Liu, H. Dong, J. Ge, Z. Liu, Z. Yuan, J. Zhu and H. Zhang, “Apparatus and method for efficient sampling of critical parameters demonstrated by monitoring an overhauser geomagnetic sensor”, AIP Review of Scientific Instruments, vol.89(12), pp.125109–1–8, November 2018.

Z. Liu, N. Meyendorf and N. Mrad, “The role of data fusion in predictive maintenance using digital twin”, AIP Conference Proceedings, vol.1949(1), pp.020023, April 2018.

F. Shi, Y. Liu, Z. Liu and E. Li, “Prediction of pipe performance with stacking ensemble learning based approaches”, Journal of Intelligent & Fuzzy Systems(Preprint), pp.1-11, 2018.

Y. Liu, S. Liu, H. Liu, C. Mandache and Z. Liu, “Pulsed Eddy Current Data Analysis for the Characterization of the Second-Layer Discontinuities”, Journal of Nondestructive Evaluation, vol.38(7), pp.8, November 2018.

H. Liu, H. Dong, Z. Liu and G. Jian, “Application of Hilbert-Huang Decomposition to Reduce Noise and Characterize for NMR FID Signal of Proton Precession Magnetometer”, Instruments and Experimental Techniques, vol.61(1), pp.55-64, January 2018.

H. Liu, Z. Liu, S. Liu, Y. Liu, J. Bin, F. Shi and H. Dong, “A nonlinear regression application via machine learning techniques for geomagnetic data reconstruction processing”, IEEE Transactions on Geoscience and Remote Sensing, vol.57(1), pp.128-140, July 2018.

H. Liu, H. Dong, Z. Liu, J. Ge, W. Luo, C. Zhang, Z. Yuan, J. Zhu and H. Zhang, “A comprehensive study on the weak magnetic sensor character of different geometries for proton precession magnetometer”, Journal of Instrumentation, vol.13(09), pp.1-18, September 2018.

Conference

F. Shi, X. Peng, H. Liu, Y. Hu, Z. Liu and E. Li, “Soil-pipe interaction modeling for pipe behavior prediction with super learning based methods”, Smart Structures and NDE for Industry 4.0, vol.10602, pp.1060207, March 2018.

S. Liu, V. John, E. Blasch, Z. Liu and Y. Huang, “IR2VI: Enhanced Night Environmental Perception by Unsupervised Thermal Image Translation”, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp.1153-1160, 2018.

Q. Jin, J. Bin, W. Ren and Z. Liu, “Structural Performance Analysis and Prediction for In-Service Bridge with SHM Data Mining”, Canadian Society for Civil Engineering (CSCE) 2018 Annual Conference, pp.GC177-1-11, June 2018.

E. Blasch, S. Liu, Z. Liu and Y. Zheng, “Deep Learning Measures of Effectiveness”, NAECON 2018-IEEE National Aerospace and Electronics Conference, pp.254-261, July 2018.

C. Zhang, J. Bin and Z. Liu, “Wind turbine ice assessment through inductive transfer learning”, 2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), pp.1-6, May 2018.

H. Liu, Y. Liu, S. Liu, Z. Liu, J. Ge, H. Song, Z. Yuan, J. Zhu, H. Zhang and H. Dong, “What can machine learning do for geomagnetic data processing? A reconstruction application”, 2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), pp.1-6, May 2018.

Book

Y. Zheng, E. Blasch and Z. Liu, “Multispectral Image Fusion and Colorization”, pp.396, April 2018.

2017

Journal

F. Wang, W. Lin, Z. Liu, S. Wu and X. Qiu, “Pipeline Leak Detection by Using Time-Domain Statistical Features”, IEEE Sensors Journal, vol.17(19), pp.6431-6442, August 2017.

Z. Liu, E. Blasch and J. Vijay, “Statistical comparison of image fusion algorithms: Recommendations”, Information Fusion, vol.36, pp.251-260, July 2017.

G. Bhatnagar and Z. Liu, “Multi-sensor fusion based on local activity measure”, IEEE Sensors Journal, vol.17(22), pp.7487-7496, October 2017.

R. Morello, S. C, Z. Liu, D. Slomovitz and S. Ranjan, “Advances on sensing technologies for smart cities and power grids: A review”, IEEE Sensors Journal, vol.17(23), pp.7596-7610, August 2017.

V. John, Q. Long, Y. Xu, Z. Liu and S. Mita, “Sensor Fusion and Registration of Lidar and Stereo Camera without Calibration Objects”, IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences, vol.100(2), pp.499-509, February 2017.

H. Liu, H. Dong, Z. Liu, J. Ge, B. Bai and C. Zhang, “Construction of an Overhauser magnetic gradiometer and the applications in geomagnetic observation and ferromagnetic target localization”, Journal of Instrumentation, vol.12(10), pp.T10008, October 2017.

L. Zhao, R. Ichise, Z. Liu, S. Mita and Y. Sasaki, “Ontology-based driving decision making: A feasibility study at uncontrolled intersections”, IEICE TRANSACTIONS on Information and Systems, vol.100(7), pp.1425-1439, July 2017.

H. Liu, H. Dong, Z. Liu, J. Ge, B. Bai and C. Zhang, “Noise characterization for the FID signal from proton precession magnetometer”, Journal of Instrumentation, vol.12, pp.1-14, July 2017.

V. John, S. Tsuchizawa, Z. Liu and S. Mita, “Fusion of thermal and visible cameras for the application of pedestrian detection”, Signal, Image and Video Processing, vol.11(3), pp.517-524, March 2017.

R. Morello, S. Mukhopadhyay, E. Gaura, Z. Liu, D. Slomovitz, S. Ranjan and U. Onyewuchi, “Guest editorial special issue on smart sensors for smart grids and smart cities”, IEEE Sensors Journal, vol.17(23), pp.7594-7595, November 2017.

Conference

F. Shi, Z. Liu and E. Li, “Prediction of pipe performance with ensemble machine learning based approaches”, 2017 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC), pp.408-414, August 2017.

Z. Liu and H. Liu, “Experimenting capacitive sensing technique for structural integrity assessment”, 2017 IEEE International Conference on Industrial Technology (ICIT), pp.922-927, March 2017.

V. John, Y. Xu, S. Mita, Q. Long and Z. Liu, “Registration of GPS and stereo vision for point cloud localization in intelligent vehicles using particle swarm optimization”, International Conference on Swarm Intelligence, pp.209-217, July 2017.

H. Liu, S. Liu, Z. Liu, N. Mrad and H. Dong, “Prognostics of damage growth in composite materials using machine learning techniques”, 2017 IEEE International Conference on Industrial Technology (ICIT), pp.1042-1047, March 2017.

J. Bin, S. Tang, Y. Liu, G. Wang, B. Gardiner, Z. Liu and E. Li, “Regression model for appraisal of real estate using recurrent neural network and boosting tree”, 2017 2nd IEEE international conference on computational intelligence and applications (ICCIA), pp.209-213, September 2017.

Book Chapter

R. Qi, C. Feng, Z. Liu and N. Mrad, “Blockchain-powered internet of things, e-governance and e-democracy”, pp.509-520, 2017.

2016

Journal

B. Qia, V. John, Z. Liu and S. Mita, “Pedestrian detection from thermal images: A sparse representation based approach”, Infrared Physics & Technology, vol.76, pp.157-167, May 2016.

Y. Song, W. Wu, Z. Liu, X. Yang, K. Liu and W. Lu, “An Adaptive Pansharpening Method by Using Weighted Least Squares Filter”, IEEE Geoscience and Remote Sensing Letters, vol.13(1), pp.18-22, January 2016.

Conference

Z. Liu, G. Monte and V. Huang, “ISO/IEC/IEEE P21451-001 standard for signal treatment of sensory data”, 2016 IEEE 25th International Symposium on Industrial Electronics (ISIE), pp.766-771, June 2016.

L. Zhao, R. Ichise, Y. Sasaki, Z. Liu and T. Yoshikawa, “Fast decision making using ontology-based knowledge base”, 2016 IEEE Intelligent Vehicles Symposium (Gothenburg, Sweden, June 19-22, 2016), pp.173-178, 2016.

2015

Journal

V. John, K. Yoneda, Z. Liu and S. Mita, “Saliency Map Generation by the Convolutional Neural Network for Real-Time Traffic Light Detection Using Template Matching”, Computational Imaging, IEEE Transactions on, vol.1(3), September 2015.

G. Bhatnagar, Q. Jonathan and Z. Liu, “A new contrast based multimodal medical image fusion framework”, Neurocomputing, vol.157, pp.143-152, June 2015.

G. Bhatnagar and Z. Liu, “A novel image fusion framework for night-vision navigation and surveillance”, Signal, Image and Video Processing, vol.9(1), pp.165-175, December 2015.

W. Wu, Z. Liu and Y. He, “Classification of defects with ensemble methods in the automated visual inspection of sewer pipes”, Pattern Analysis and Applications, vol.18(2), pp.263-276, May 2015.

Conference

Z. Liu, R. Morello and W. Wu, “Experiments on battery capacity estimation”, 2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings, pp.863-868, May 2015.

V. John, S. Mita, Z. Liu and B. Qi, “Pedestrian detection in thermal images using adaptive fuzzy C-means clustering and convolutional neural networks”, 2015 14th IAPR International Conference on Machine Vision Applications (MVA), pp.246-249, May 2015.

V. John, Q. Long, Z. Liu and S. Mita, “Automatic Calibration and Registration of Lidar and Stereo Camera without Calibration Objects”, IEEE International Conference on Vehicular Electronics and Safety, 2015.

Book Chapter

Z. Liu, H. Ukida, K. Niel and P. Ramuhalli, “Industrial inspection with open eyes: Advance with machine vision technology”, pp.1-37, 2015.

Book

Z. Liu, H. Ukida, P. Ramuhalli and K. Niel, “Integrated Imaging and Vision Techniques for Industrial Inspection”, pp.1-541, 2015.

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