2022
■
[SCI, IF:11.079] J. Xue, Y. Zhao, W.
Liao, J. C. Chan, and S. G. Kong, When Laplacian Scale Mixture Meets
Three-Layer Transform: A Parametric Tensor Sparsity for Tensor Completion, IEEE Trans. Cybernetics, Minor Revision,
Oct. 2021.
■
[SCI, IF:10.451] J. Xue, Y. Zhao, S.
Huang, W. Liao, J. C. Chan, and S. G. Kong, Multilayer Sparsity-based
Tensor Decomposition for Low-rank Tensor Completion, IEEE Trans. Neural Networks and Learning Systems, Published Online,
Jun. 2021.
■
[SCI, IF:8.979] L. Chen, Y. Zhao, J. C. Chan, and S. G. Kong, Histograms of Oriented
Mosaic Gradients for Snapshot Spectral Image Description, ISPRS Journal of Photogrammetry and Remote
Sensing, 183:79-93, Jan. 2022.
2021
■
[SCI, IF:8.979] N. Li, Y. Zhao, Q. Pan, S. G. Kong, and J. C. Chan, Illumination-Invariant Road
Detection and Tracking Using LWIR Polarization Characteristics, ISPRS Journal of Photogrammetry and Remote
Sensing, 180:357-369, Oct. 2021.
■
[SCI, IF:3.301] M. Li, N. Yao, S. Li, Y. Zhao, and S. G. Kong, Multisensor Image Fusion for
Automated Detection of Defects in Printed Circuit Boards, IEEE Sensors Journal,
21(20):23390-23399, Oct. 2021.
■
[SCI, IF:3.490] K. Feng, Y. Zhao, J. C. Chan, and S. G. Kong, X. Zhang,
and B. Wang, Mosaic
Convolution-Attention Network for Demosaicking Multispectral Filter Array
Images, IEEE Trans. Computational
Imaging, 7:864-878, Aug. 2021.
■
[SCI, IF:3.894] R. Wu, Y. Zhao, N.
Li, and S. G. Kong, Polarization
Image Demosaicking using Polarization Channel Difference Prior, Optics Express, 29(14):22066-22079, Jul.
2021.
■ [SCI-E, IF:4.848] L. Chen, Y. Zhao, J. Yao, J. Chen, N. Li, J. C. Chan, and S. G. Kong, Object Tracking in Hyperspectral-Oriented Video with Fast Spatial-Spectral Features, Remote Sensing, 13(10):1922, May 2021.
■ [SCI, IF:3.301] J. Hao, Y. Zhao, W. Liu, S. G. Kong, and G. Liu, A Micro-Polarizer Array Configuration Design Method for Division of Focal Plane Imaging Polarimeter, IEEE Sensors Journal, 21(3):2828-2838, Feb. 2021.
■ [SCI, IF:5.855] Y. Bu, Y. Zhao, J. Xue, J. C. Chan, S. G. Kong, C. Yi, J. Wen, and B. Wang, Hyperspectral and Multispectral Image Fusion via Graph Laplacian Guided Coupled Tensor Decomposition, IEEE Trans. Geoscience and Remote Sensing, 59(1):648-662, Jan. 2021.
2020
■ [SCI, IF:11.683] J. Xue, Y. Zhao, W. Liao, J. C. Chan, and S. G. Kong, Enhanced Sparsity Prior Model for Low-rank Tensor Completion, IEEE Trans. Neural Networks and Learning Systems, 31(11):4567-4581, Nov. 2020.
■ [SCI-E, IF:3.076] Y. Zhao, M. Reda, K. Feng, P. Zhang, G. Cheng, Z. Ren, S. G. Kong, S. Su, H. Huang, and J. Zang, Detecting Giant Cell Tumor of Bone Lesions using Mueller Matrix Polarization Microscopic Imaging and Multi-parameters Fusion Network, IEEE Sensors Journal, 20(13):7208-7215, Jul. 2020.
■ [SCI, IF:4.118] C. Yi, Y. Zhao, J. C. Chan, and S. G. Kong, Joint spatial-spectral resolution enhancement of multispectral images with spectral matrix factorization and spatial sparsity constraints, Remote Sensing, 12(6):993, Mar. 2020.
■ [SCI, IF:4.118] X. Kong, Y. Zhao, J. C. Chan, J. Xue, and S. G. Kong, Global and Local Tensor Sparse Approximation Models for Hyperspectral Image Destriping, Remote Sensing, 12(4):704, Feb. 2020.
2019
■ [SCI, IF:5.452] L. Shen, Y. Zhao, Q. Peng, J. C. Chan, and S. G. Kong, An Iterative Image Dehazing Method with Polarization, IEEE Trans. Multimedia, 21(5):1093-1107, May 2019.
■
[SCI-E, IF:3.356] N. Li, Y. Zhao, Q.
Pan, and S. G. Kong, Demosaicking DoFP Images using Newtons
polynomial interpolation and polarization difference model, Optics
Express, 27(2):1376-1391, Jan.
2019.
2018
■
[SCI, IF:4.942] L. Li, Y. Zhao, J. Sun, R. Stolkin, Q. Pan, J. C. Chan,
S. G. Kong, and Z. Liu, Deformable
Dictionary Learning for SAR Image Change Detection, IEEE Trans. Geoscience and Remote Sensing, 56(8):4605-4617,
Aug. 2018.
■
[SCI-E, IF:3.307] N. Li, Y. Zhao, Q. Pan, and S. G. Kong, Removal of Reflections in LWIR Image with
Polarization Characteristics, Optics
Express, 26(13):16488-16504, Jun. 2018.
■
[SCI, IF:4.942] J. Xue, Y. Zhao, W. Liao, and S. G. Kong, Joint Spatial and Spectral Low-Rank
Regularization for Hyperspectral Image Denoising, IEEE Trans. Geoscience and Remote Sensing, 56(4):1940-1958, Apr.
2018.
2017
■
[SCI, IF:4.942] C. Yi, Y. Zhao, J. Yang, J. C. Chan, and S. G. Kong, Joint Hyperspectral Superresolution and
Unmixing with Interactive Feedback, IEEE
Trans. on Geoscience and Remote Sensing, 55(7):3823-3834, Jul. 2017.
2016
■
[SCI, IF:3.514] J. Yang, Y. Zhao, J. C. Chan, and S. G. Kong, Coupled Sparse Denoising and Unmixing with
Low-Rank Constraint for Hyperspectral Image, IEEE Trans. on Geoscience and Remote Sensing, 54(3):1818-1833, Mar.
2016.
■
[SCI, IF:0.957] S. G. Kong, D. Jin, S. Li, and H. Kim, Fast Fire Flame Detection in Surveillance
Video Using Logistic Regression and Temporal Smoothing, Fire Safety Journal, 79(1):37-43, Jan.
2016.
■
[SCI-E, IF:1.182] Y. Zhao, Q. Peng, C. Yi, and S. G. Kong, Multiband Polarization Imaging, Journal of Sensors (Special Issue on Multispectral,
Hyperspectral, and Polarimetric Imaging Technology), Vol. 2016, Article ID
5985673, 2016 (10 pages).
■
[SCOPUS, IF:1.182] Y. Zhao, J. C. Chan, S. G. Kong, Y. Qiao,
C.-C. Wu, and C.-I. Chang, Multispectral,
Hyperspectral, and Polarimetric Imaging Technology, Editorial, Journal of Sensors, Vol. 2016, Article ID 5634542, 2016 (2
pages).
2015
■
[KCI, IF:0.35] S. G. Kong, 얼굴영상과 예측한 열 적외선 텍스처의 융합에 의한 얼굴인식, 한국 지능시스템학회 논문지, 25(5), Oct. 2015.
■
[SCI, IF:3.625] S. G. Kong and R. Oyini Mbouna, Head Pose Estimation From a 2D Face Image Using
3D Face Morphing with Depth Parameters, IEEE
Trans. on Image Processing, 24(6):1801-1808, Jun. 2015.
2014
■
[SCI, IF:2.307] J. Lee, S. G. Kong, T. Y. Kang, and B. Kim, Invisible Ink Mark Detection in the Visible
Spectrum using Absorption Difference, Forensic
Science International, 236:77-83, Mar. 2014.
■
[SCI-E, IF:1.266] M. G. Chun and S. G. Kong, Focusing in Thermal Imagery using
Morphological Gradient Operator, Pattern
Recognition Letters, 38(4):20-25, Mar. 2014.
■
[SCI, IF:3.199] G. Na, K. Shim, G. Moon, S. G. Kong, E. Kim, and J. Lee,
Frame-based Recovery of Corrupted Video
Files using Video Codec Specifications, IEEE
Trans. on Image Processing, 23(2):517-526, Feb. 2014.
■
[SCI, IF:2.307] K. Y. Lee, J. Lee, S. G. Kong, and B. Kim, Sequence Discrimination of Heterogeneous
Crossing of Seal Impression and Ink-printed Text using Adhesive Tapes, Forensic Science International,
234:120-125, Jan. 2014.
2013
■
[SCI-E, IF:0.814] Y. Zhao, X. Wu, S. G. Kong, and L. Zhang, Joint Segmentation and Pairing of
Multispectral Chromosome Images, Pattern
Analysis and Applications, 16(4):497-506, Nov. 2013.
■
[SCI, IF:3.064] R. Oyini Mbouna, S. G. Kong, and M. G. Chun, Visual Analysis of Eye State and Head Pose for
Driver Alertness Monitoring, IEEE
Trans. on Intelligent Transportation Systems, 14(3):1462-1469, Sep. 2013.
■
[SCI-E, IF:0.814] Y. Zhao and S. G. Kong, Automated Classification of Touching or
Overlapping M-FISH Chromosomes by Region Fusion and Homolog Pairing, Pattern Analysis and Applications,
16(1):31-39, Feb. 2013.
■
[SCOPUS, IPP:0.147] O. K. Kwon and S. G. Kong,
Sharpness-enhancing Enlargement of Terahertz Images, IEEJ Trans. on Electronics, Information and Systems,
133(4):908-909, 2013.
2012
■
[SCI, IF:1.244] J. Lee, S. G. Kong, Y. Lee, J. Kim, and N. Jung, Detection of Transcribed Seal Impressions
using 3-D Pressure Traces, Journal of
Forensic Sciences, 57(6):1531-1536, Nov. 2012.
■ R. Oyini Mbouna and S. G. Kong, Pupil
Center Detection with a Single Webcam for Gaze Tracking, Journal of Measurement Science and
Instrumentation, 3(2):133-136, Jun. 2012.
■ [SCI,
IF:1.853]
Z. Du, Y. Jeong, M. K. Jeong, and S. G. Kong, Multidimensional Local Spatial
Autocorrelation Measure for Integrating Spatial and Spectral Information in
Hyperspectral Image Band Selection, Applied
Intelligence, 36(3):542-552, Apr. 2012.
■ [SCI,
IF:2.307]
J. Lee, S. G. Kong, Y. Lee, K. Moon, O.
Jeon, J. H. Han, B. Lee, and J. Seo, Forged
Seal Detection based on Seal Overlay Metric, Forensic Science International, 214(1):200-206, Jan. 2012.
2011
■ [SCI,
IF:3.467]
Y. Zhao, L. Zhang, and S. G. Kong, Band
Subset Based Clustering and Fusion for Hyperspectral Imagery Classification,
IEEE Trans. on Geoscience and Remote
Sensing, 49(2):747-756, Feb. 2011.
■ [SCI-E,
IF:1.266]
C. Ryu, S. G. Kong, and H. Kim, Enhancement
of Feature Extraction for Low-Quality Fingerprint Images using Stochastic
Resonance, Pattern Recognition
Letters, 32(2):107-113, Jan. 2011.
2010
■ [SCI-E,
IF:0.953]
I. S. Kim, H. S. Choi, K. M. Yi, J. Y. Choi, and S. G. Kong, Intelligent Visual Surveillance – A Survey,
International Journal of Control,
Automation, and Systems, 8(5):926-939, Oct. 2010. (Special Issue on
Advances in Intelligent Visual Surveillance Systems; Editorial)
■ [SCI,
IF:1.038]
C. Ryu and S. G. Kong, Boosting Terahertz Radiation in THz-TDS using
Continuous-Wave Laser, Electronics
Letters, 46(5):359-360, Mar. 2010.
■ [SCI,
IF:1.689]
C. Ryu and S. G. Kong, Atmospheric Degradation Correction of Terahertz
Beams using Multiscale Signal Restoration, Applied Optics, 49(5):927-935, Feb. 2010.
2008
■ [SCI,
IF:2.21]
S. G. Kong and D. H. Wu, Signal Restoration from Atmospheric
Degradation in Terahertz Spectroscopy, Journal of Applied Physics,
103(11):113105 (6 pages), Jun. 2008.
2007
■ [SCI,
IF:3.766]
W. Jiang and S. G. Kong, Block-based Neural Networks for Personalized
ECG Signal Classification, IEEE
Trans. on Neural Networks,
18(6):1750-1761, Nov. 2007.
■ W.
Jiang and S. G. Kong, A Least-Squares
Learning for Block-based Neural Networks, Dynamics of Continuous,
Discrete and Impulsive Systems, 14(S1):242-247, Aug. 2007.
■ [SCI,
IF:1.674]
Z. Du, M. K. Jeong, and S. G. Kong, Band
Selection of Hyperspectral Images for Automatic Detection of Poultry Skin
Tumors, IEEE Trans. on Automation Science and Engineering,
4(3):332-339, Jul. 2007.
■ [SCI,
IF:3.623]
S. G. Kong, J. Heo, F. Boughorbel, Y.
Zheng, B. R. Abidi, A. Koschan, M. Yi, and M. A. Abidi, Multi-scale Fusion
of Visible and Thermal IR Images for Illumination-Invariant Face Recognition,
International Journal of Computer Vision,
71(2):215-233, Feb. 2007.
■ [SCI,
IF:2.919]
P. Park, D. J. Choi, and S. G. Kong, Output
Feedback Variable Structure Control for Linear Systems with Uncertainties and
Disturbances, Automatica, 43(1):72-79, Jan. 2007.
2006
■ [SCI,
IF:0.742]
S. G. Kong, M. Martin, and T. Vo-Dinh, Hyper-spectral Fluorescence Imaging for
Mouse Skin Tumor Detection, ETRI Journal, 28(6):770-776, Dec. 2006.
2005
■ [SCI,
IF:1.232]
S. G. Kong, J. Heo, B. R. Abidi, J. Paik, and M. A. Abidi, Recent Advances in Visual and Infrared Face
Recognition - A Review, Computer Vision and Image Understanding,
97(1):103-135, Jan. 2005. (Most Cited Paper Award 2007, 2008)
2004
■ I. Kim, Y. R. Chen,
M. S. Kim, and S. G. Kong, Detection of
Skin Tumors on Chicken Carcasses using Hyperspectral Fluorescence Imaging, Transactions
of the American Society of Agricultural Engineers, 47(5):1785-1792, 2004. (Honorable
Mention Paper Award 2005)
■ [SCI,
IF:1.689]
S. G. Kong, Y. R. Chen, I. Kim, and M. S. Kim, Analysis of Hyperspectral Fluorescence Images
for Poultry Skin Tumor Inspection, Applied Optics, 43(4):824-833,
Feb. 2004.
2002
■ J. D. Jang and S. G.
Kong, Design of Optimal Digital IIR
Filters using the Genetic Algorithm, Journal
of Fuzzy Logic and Intelligent Systems, 2(2):115-121, Jun. 2002.
2001
■ [SCI,
IF:3.766]
S. W. Moon and S. G. Kong, Block-based
Neural Networks, IEEE Trans. on
Neural Networks, 12(2):307-317, Mar. 2001.
■ [SCI-E,
IF:1.506]
M. S. Kim and S. G. Kong, Parallel-Structure
Fuzzy Systems for Time Series Prediction, International Journal of Fuzzy Systems, 3(1):331-340, Mar. 2001.
■ [SCI,
IF:3.766]
S. G. Kong and B. Kosko, Adaptive Fuzzy
Systems for Backing Up a Truck-and-Trailer, IEEE Trans. on Neural Networks, 3(2):211-223, Mar. 1992.
■ [SCI,
IF:3.766]
S. G. Kong and B. Kosko, Differential Competitive
Learning for Centroid Estimation and Phoneme Recognition, IEEE Trans. on Neural Networks,
2(1):118-124, Jan. 1991.
■ 공성곤, 백종웅,
라즈베리파이
따라하기, 21세기 출판사
(ISBN: 978-89-8468-706-6), 2017.
■ Y. Zhao, C. Yi, S. G. Kong, Q. Pan, and Y. Cheng, Multi-band Polarization Imaging and Applications, Springer-Verlag: Berlin Heidelberg (ISBN: 978-3-662-49371-7), 2016.
■ S. G. Kong and L. J. Park, Hyperspectral Image Analysis for Skin Tumor Detection, Augmented Vision Perception in Infrared, R. I. Hammoud (Ed.), Springer: London (ISBN:978-1-84800-276-0), 2008.
■
M. K. Jeong, S. G. Kong, and O. A. Omitaomu, Data
Mining of Multi-Dimensional Functional Data for Manufacturing Fault Diagnosis,
Chapter 10, Recent Advances in Data Mining of Enterprise Data, T. W. Liao and E.
Triantaphyllou, World Scientific (ISBN:978-981-277-985-4),
January 2008.
■
S. Huq, B. Abidi, S. G. Kong, A. Koschan, and M. Abidi,
A Survey on 3D Modeling of Human Faces for Face Recognition, Chapter 2, 3D Imaging for Safety and Security, A.
Koschan, M. Pollefeys, and M. Abidi (Eds.), Springer: Dordrecht, The
Netherlands (ISBN:978-1-4020-6181-3), August 2007.
■
S. G. Kong and B. Kosko, Comparison of Fuzzy and Neural
Truck Backer-Upper Control Systems, Chapter 9, B. Kosko, Neural Networks and
Fuzzy Systems, Prentice-Hall: Englewood Cliffs, 1992.
■
S. G. Kong and B. Kosko, Fuzzy Image Transform Coding,
Chapter 10, B. Kosko, Neural Networks and Fuzzy Systems, Prentice-Hall:
Englewood Cliffs, 1992.
■
S. G. Kong and B. Kosko, Differential Competitive
Learning for Phoneme Recognition, Chapter 1, B. Kosko, Ed., Neural Networks
for Signal Processing, Prentice-Hall: Englewood Cliffs, 1992.
■
N. Li, Y. Zhao, and S. G. Kong, Full-Time Monocular Road Detection
Using Zero-Distribution Prior of Angle of Polarization, European Conf. on Computer Vision (ECCV2020),
457-473, Aug. 2020.
■
M. Vo and S. G. Kong, 3D Face Reconstruction from a
Single 2D Face Image of Arbitrary Pose, US-Korea
Conf. on Science, Engineering, and Entrepreneurship, New York, NY, Aug.
2018.
■
V. Thanh and S. G. Kong, Head Pose Estimation via Manifold Learning on Global
Features Extraction, Int. Symp. on Advanced Intelligent Systems, Daegu, Korea, Oct. 2017.
■
J. Baek and S. G. Kong, Convolutional Neural Network Structure Design for Face
Recognition on Raspberry Pi, Int. Symp. on Advanced Intelligent Systems, Daegu, Korea, Oct. 2017.
■
V. Thanh and S. G. Kong, Depth Estimation of a 3D
Face Model from a 2D Face Image, US-Korea
Conf. on Science, Engineering, and Entrepreneurship, Washington, DC, Aug.
2017.
■
R. Oyini Mbouna, Seong G. Kong, T. Doo, and H. Kim,
On-road vehicle detection using the accelerated Hough Forest algorithm, Int. Conf. Electronics, Information, and
Communication (ICEIC2016), Da Nang, Vietnam, Jan. 2016.
■
S. Roychoudhury and S. G. Kong, Tracking Human in
Thermal Infrared Vision, Int. Symp. on
Advanced Intelligent Systems (ISIS2015), Mokpo, Nov. 2015.
■
Y. Zhao, Q. Peng, J. Xue, and S. G. Kong, Specular
Reflection Removal using Local Structural Similarity and Chromacity
Consistency, IEEE Int. Conf. on Image
Processing (ICIP2015), Quebec City, Canada, Sep. 2015.
■
Y. Zhao, W. Liu, S. G. Kong, Y. Liu, and Q. Pan,
Design and Performance Analysis of Infrared Micro-Polarizer Array, 34th Chinese Control Conference (CCC2015),
Hangzhou, China, Jul. 2015.
■
L. Wu, X. Du, L. Wang, X. Fu, R. Oyini Mbouna, and
S. G. Kong, Analyzing Mobile Phone Vulnerabilities Caused by Camera, IEEE Global Communications Conference
(GLOBECOM2014), 4126-4130, Austin, TX, Dec. 2014.
■
D.
Lee, B. Ahn, D. Lee, D. Choi, and S. G. Kong, Development of Elementary Social
Skills of an Android for Sociable Human-Robot Interaction, US-Korea Conf. on Science,
Engineering, and Entrepreneurship, San Francisco, CA, Aug. 2014.
■
M. G. Chun, N. Y. Shin, and S. G. Kong, Wavelet
Based Focus Measures for Thermal Face Images, US-Korea Conf. on Science, Engineering, and Entrepreneurship, New
York, NY, Aug. 2013.
■
S. Lu, J. Picone, and S. G. Kong, Fingerspelling
Alphabet Recognition using a Two-level Hidden Markov Model, Int. Conf. on Image Processing, Computer
Vision, and Pattern Recognition, Las Vegas, NV, Jul. 2013.
■
M. G. Chun, Y. N. Shin, and S. G. Kong, Biometrics
with Hardware Security Module for User Authentication, US-Korea Conf. on Science, Engineering, and Entrepreneurship,
Anaheim, CA, Aug. 2012.
■
R. Oyini Mbouna, S. G. Kong, and H. Kim, Head-Pose
Estimation for 2D-3D Face Matching, US-Korea
Conf. on Science, Engineering, and Entrepreneurship, Anaheim, CA, Aug.
2012.
■
A. Brown, S. G. Kong, and S. J. Chen, Bio Heat
Transfer Modeling of Facial Temperature Distribution, US-Korea Conf. on Science, Engineering, and Entrepreneurship,
Anaheim, CA, Aug. 2012.
■
S.
Li, S. Lu, S. G. Kong, and C. Miyamoto, Spatial and Temporal Thermal Dose Distribution
in Hyperthermia Therapy, World Conference
for Medical Physics and Bioengineering, Beijing, China, May 2012.
■
S. Roychoudhury and S. G. Kong, Tracking Moving
Objects in Thermal Vision - A Kernel-based Approach, US-Korea Conf. on Science, Engineering, and Entrepreneurship, Park
City, UT, Aug. 2011.
■
R. Oyini Mbouna and S. G. Kong, Pupil Center
Detection with a Single Webcam for Gaze Tracking, Int. Conf. on Smart IT Applications, Seoul, Korea, Aug. 2011.
■
J. Kim, S. J. Chen, and S. G. Kong, Thermal Imaging
and Heat Transfer Modeling of a Human Face at Rest and after Exercise, ASME Int. Mechanical Engineering Congress
and Exposition (IMECE09), Lake Buena Vista, FL, Nov. 2009.
■ C. Ryu, S. G. Kong,
and H. Kim, Blind Spot Coverage for Perimeter Surveillance, Symposium on Advances in Homeland Security
and Personal Safety, Raleigh, NC, Jul. 2009.
■ C. Xu, I. Kim, and S. G. Kong, Feature level fusion for hyperspectral
images, Proceedings of SPIE, Vol.
7315, 2009.
■ A. Khan, I. Kim, and S. G. Kong, Dimensionality reduction of
hyperspectral images using kernel ICA, Proceedings
of SPIE, Vol. 7315, 2009.
■ S. G. Kong,
Multispectral Imaging and Fusion for Robust Face Recognition, US-Korea Conf. on Science, Technology, and
Entrepreneurship (UKC2008),
San Diego, CA, Aug. 2008.
■ J. H. Lee, C. H. Won
and S. G. Kong, Estimation of Operative Line of Resection using Preoperative
Image and Nonrigid Registration, Int.
Conf. on Engineering in Medicine and Biology Society, Vancouver, Canada, Aug. 2008.
■ H. Chang, S. G. Kong,
A. Koschan, C. H. Won, and M. Abidi, Multispectral Visible and Infrared Imaging
for Face Recognition, Int. Conf. on
Computer Vision and Pattern Recognition (CVPR2008), Anchorage, AK, Jun. 2008. (Invited Paper)
■ D. Ahn, S. G. Kong,
Y. Chung, and K. Y. Moon, Matching with Secure Fingerprint Templates using
Non-invertible Transforms, Int. Congress
on Image and Signal Processing (CISP2008), Sanya, China, May 2008.
■ D. H. Wu and S. G.
Kong, Signal Restoration from Atmospheric Degradation in Terahertz
Spectroscopy, The American Physical
Society Meeting, New
Orleans, LA, Mar. 2008.
■ S. Moon and S. G.
Kong, Adaptive Fusion of Visible and Thermal Images based on Multiscale
Analysis for Face Recognition, IEEE
Int. Conf. on Computational Intelligence for Homeland Security and Personal
Safety (CIHSPS2006),
Alexandria, VA, Oct. 2006.
■ S. G. Kong and D. H.
Wu, Terahertz Time-Domain Spectroscopy for Explosive Trace Detection, IEEE Int. Conf. on Computational Intelligence
for Homeland Security and Personal Safety (CIHSPS2006), Alexandria, VA, Oct. 2006.
■ O. Kwon and S. G. Kong, Multimodality Image Registration using Combined
Mutual Information of Intensity and Gradient, World Congress on Medical Physics and Biomedical Engineering,
Seoul, Korea, Aug. 2006.
■ Z. Du, S. G. Kong, M. Martin, and T. Vo-Dinh, Hyperspectral Fluorescence
Signature Analysis for Skin Cancer Detection, World Congress on Medical Physics and Biomedical Engineering,
Seoul, Korea, Aug. 2006.
■ W. Jiang and S. G. Kong, and G. D. Peterson, Continuous Heartbeat Monitoring
using Evolvable Block-based Neural Networks, Int. Joint Conf. on
Neural Networks, Vancouver, Canada, Jul. 2006.
■ S. Merchant, G. D. Peterson, S. Park, and S. G. Kong, FPGA Implementation
of Evolvable Block-based Neural Networks, Congress
on Evolutionary Computation, Vancouver, Canada, Jul. 2006.
■ S. Moon and S. G. Kong, Residual Stress Pattern Classification for
Silicon Wafer Inspection, Maintenance and Reliability Conference,
Knoxville, TN, May 2006.
■ S. Merchant, G. Peterson, and S. G. Kong, Extrinsic Embedded Hardware
Evolution of Block-based Neural Networks, Int. Conf. on Engineering of
Reconfigurable Systems and Algorithms, Las Vegas, NV, Jun. 2006.
■ W. Jiang and S. G. Kong, Evolvable Block-based Neural Networks for Heart Monitoring, US-Korea Conf. on Science and Engineering, Irvine, CA, Aug. 2005.
■ W. Jiang, S. G. Kong, and G. Peterson, ECG Signal Classification using Block-based Neural Networks, Int. Joint Conf. on Neural Networks, Montreal, Canada, Jul. 2005.
■ D. W. Lee, S. G. Kong, and K. B. Sim, Evolvable Neural Networks based on Developmental Models for Mobile Robot Navigation, Int. Joint Conf. on Neural Networks, Montreal, Canada, Aug. 2005.
■ S. G. Kong, Evolvable and Emergent Neural Systems, Int. Conf. on Control, Automation and Systems (ICCAS2005), Seoul, Korea, June 2005 (Invited Paper).
■ D. W. Lee, S. G. Kong, and K. B. Sim, Evolvable Neural Networks for Time Series Prediction with Adaptive Learning Interval, Int. Conf. on Control, Automation and Systems (ICCAS2005), Seoul, Korea, June 2005.
■ S. G. Kong, One-Class Pattern Classifiers for Machinery Fault Monitoring, Maintenance and Reliability Conference (MARCON), Knoxville, TN, May 2005.
■ O. Kwon and S. G. Kong, Multiscale Fusion of Visual and Thermal Images for Robust Face Recognition, IEEE Int. Conf. on Computational Intelligence for Homeland Security and Personal Safety (CIHSPS2005), Orlando, FL, Mar. 2005.
■ S. G. Kong, Z. Du, M. Martin, and T. Vo-Dinh, Hyperspectral Fluorescence Image Analysis for Use in Medical Analysis, SPIE Conf. on Biomedical Optics, San Jose, CA, Jan. 2005.
■ G. D. Peterson, S. Kothandaraman, and S. G. Kong, A Reconfigurable Computing Library for Block-based Neural Networks, Int. Conf. on Computing, Communications, and Control Technologies (CCCT2004), Austin, TX, Aug. 2004.
■ J. Heo, S. G. Kong, B. R. Abidi, and M. A. Abidi, Fusion of visual and thermal signatures with eyeglass removal for robust face recognition, Workshop on Object Tracking and Classification Beyond the Visible Spectrum (OTCBVS2004), Washington, DC, Jul. 2004. (Best Paper Award)
■ S. G. Kong, Time Series Prediction with Evolvable Block-based Neural Networks, Int. Joint Conf. Neural Networks (IJCNN2004), Budapest, Hungary, Jul. 2004.
■ J. Heo, B. R. Abidi, S. G. Kong, and M. A. Abidi, Performance Comparison of Visual and Thermal Signatures for Face Recognition, Biometric Consortium Conference (BC2003), Arlington, VA, Sep. 2003.
■ S. G. Kong, Cutting edge applications of hyperspectral image processing, US-Korea Conf. on Science, Technology, and Entrepreneurship, Pasadena, CA, Aug. 2003.
■ J. T. Fletcher and S. G. Kong, Principal Component Analysis for Poultry Tumor Inspection using Hyperspectral Fluorescence Imaging, Int. Joint Conf. on Neural Networks (IJCNN2003), Portland, OR, Jul. 2003.
■ S. G. Kong, Inspection of Poultry Skin Tumor using Hyperspectral Fluorescence Imaging, 6th Int. Conf. on Quality Control by Artificial Vision (QCAV2003), Gatlinburg, TN, May 2003.
■ S. W. Moon and S. G. Kong, Pattern Recognition with Block-based Neural Networks, Int. Joint Conf. on Neural Networks (IJCNN2002), Honolulu, HI, May 2002.
■ S.
G. Kong, Classification of Interframe Difference Image Blocks for Video
Compression, in Applications of Artificial Neural Networks in Image
Processing VII, Nasser M. Nasrabadi and Aggelos K. Katsaggelos, ed., Proceedings of SPIE Vol. 4668, 29-37,
San Jose, CA, Jan. 2002.