Frank Shih
Professor, Computer Science
- frank.y.shih@njit.edu
- 973-596-5654
- 4205 Guttenberg Information Technologies Center (GITC)
Education
Ph.D.; Purdue University-Main Campus; Electrical And Computer Engineering; 1987
M.S.; Stony Brook University; Electrical And Computer Engineering; 1984
B.S.; National Cheng Kung University; Electrical Engineering; 1980
Website
2026 Fall Courses
CS 489 - COMPUTER SCIENCE RESEARCH PROJ
CS 101 - COMP PROG & PROB SOLVING
CS 488 - INDEPENDENT STUDY IN CS
CS 790A - DOCT DISSERTATION & RES
CS 701B - MASTER'S THESIS
CS 700B - MASTER'S PROJECT
CS 725 - INDEPENDENT STUDY I
CS 726 - INDEPENDENT STUDY II
CS 792 - PRE-DOCTORAL RESEARCH
Teaching Interests
Image Processing, Information Security and Privacy, Biometrics Identification, Sensor Networks, Computer Vision, Solar Image Analysis, Computer Graphics
Past Courses
CS 101: COMP PROG & PROB SOLVING
CS 101: COMPUTER PROGRAMMING AND PROBLEM SOLVING
CS 103: COMPUT SCI-BUSINESS PROB
CS 657: INTERACTIVE GRAPHICS
CS 659: IMAGE PROCESSING
CS 659: IMAGE PROCESSING AND ANALYSIS
Research Interests
Image Processing, Information Security and Privacy, Biometrics Identification, Sensor Networks, Computer Vision, Solar Image Analysis, Computer Graphics
Conference Paper
"RoI-MedCap: Region of Interest-Based Medical Image Captioning with Multi-Stream Connector"
Proc. IEEE International Conference on Biomedical and Health Informatics, October (4th Quarter/Autumn), 2025.
Proc. IEEE International Conference on Biomedical and Health Informatics, October (4th Quarter/Autumn), 2025.
"MoE-MSC: Mixture of Experts with Multi-Stream Connector for Modality-Aware Medical Image Captioning"
Proc. the 16th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics, October (4th Quarter/Autumn), 2025.
Proc. the 16th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics, October (4th Quarter/Autumn), 2025.
Conference Proceeding
"Real-time lane detection based on hybrid dilated convolution and convolutional block attention module"
IEEE Intl. Conf. Advanced Visual and Signal-Based Systems (AVSS), August, 2025.
IEEE Intl. Conf. Advanced Visual and Signal-Based Systems (AVSS), August, 2025.
"Perspective transformation layer"
Intl. Conf. Computational Science and Computational Intelligence, December, 2022.
Intl. Conf. Computational Science and Computational Intelligence, December, 2022.
"Real-time vehicle counting by deep-learning networks"
Intl. Conf. Machine Learning and Cybernetics (ICMLC), September, 2022.
Intl. Conf. Machine Learning and Cybernetics (ICMLC), September, 2022.
"Automated diagnosis of acne and rosacea using convolution neural networks"
Proc. 4th Intl. Conf. Artificial Intelligence and Pattern Recognition (AIPR 2021), September, 2021.
Proc. 4th Intl. Conf. Artificial Intelligence and Pattern Recognition (AIPR 2021), September, 2021.
"Adversarially robust and accurate machine learning for image classification"
CRA-WP Visual Workshop, April (2nd Quarter/Spring), 2021.
CRA-WP Visual Workshop, April (2nd Quarter/Spring), 2021.
"Accurate and adversarially robust classification of medical images and ECG time-series with gradient-free trained sign activation neural networks"
IEEE Intl. Conf. Bioinformatics and Biomedicine (BIBM), December, 2020.
IEEE Intl. Conf. Bioinformatics and Biomedicine (BIBM), December, 2020.
"Classifying histopathology images with random depthwise convolutional neural networks"
7th International Conference on Bioinformatics Research and Applications (ICBRA), September, 2020.
7th International Conference on Bioinformatics Research and Applications (ICBRA), September, 2020.
"A convolutional deep neural network approach for skin cancer detection using skin lesion images"
Proc. 20th Industrial Conference on Data Mining, July (3rd Quarter/Summer), 2020.
Proc. 20th Industrial Conference on Data Mining, July (3rd Quarter/Summer), 2020.
"Automatic diagnosis of acne and rosacea using deep learning"
Proc. 9th Intl. Conf. Digital Image Processing and Vision, May, 2020.
Proc. 9th Intl. Conf. Digital Image Processing and Vision, May, 2020.
"Brain tumor classification with tumor segmentations and a dual path residual convolutional neural network from MRI and pathology images"
MICCAI Radiology-Pathology Challenge on Brain Tumor Classification, October (4th Quarter/Autumn), 2019.
MICCAI Radiology-Pathology Challenge on Brain Tumor Classification, October (4th Quarter/Autumn), 2019.
"Classification of ecological data using deep learning methods"
Global Conference on Biomedical Engineering, November, 2018.
Global Conference on Biomedical Engineering, November, 2018.
"Motion-based vehicle detection in Hsuehshan tunnel"
Proc. the Eighth International Conference on Advanced Computational Intelligence, September, 2016.
Proc. the Eighth International Conference on Advanced Computational Intelligence, September, 2016.
"Improving leaf classification rate via background removal and ROI extraction"
Proc. the 4th International Conference on Control, Robotics and Informatics, December, 2015.
Proc. the 4th International Conference on Control, Robotics and Informatics, December, 2015.
"Enhance hybrid texture synthesis"
Proc. the 16th International Conference on Image Processing, Computer Vision, & Pattern Recognition, October (4th Quarter/Autumn), 2012.
Proc. the 16th International Conference on Image Processing, Computer Vision, & Pattern Recognition, October (4th Quarter/Autumn), 2012.
"Improved image inpainting using maximum value edge detector"
Proc. Southwest Symp. Image Analysis and Interpretation, April (2nd Quarter/Spring), 2012.
Proc. Southwest Symp. Image Analysis and Interpretation, April (2nd Quarter/Spring), 2012.
"Categorization of camera captured documents based on logo identification"
Proc. 14th Intl. Conf. Computer Analysis of Images and Patterns (CAIP), September, 2011.
Proc. 14th Intl. Conf. Computer Analysis of Images and Patterns (CAIP), September, 2011.
"Quantification and relative comparisons of synthesized texture"
International Conference on Image Processing, Computer Vision, & Pattern Recognition, July (3rd Quarter/Summer), 2011.
International Conference on Image Processing, Computer Vision, & Pattern Recognition, July (3rd Quarter/Summer), 2011.
"Passive detection of paint-doctored JPEG images"
9th International Workshop on Digital Watermarking, October (4th Quarter/Autumn), 2010.
9th International Workshop on Digital Watermarking, October (4th Quarter/Autumn), 2010.
"Solar flares forecasting using sunspot-groups classification and photospheric magnetic parameters"
IAU Symposium 273 Physics of Sun and Star Spots, August, 2010.
IAU Symposium 273 Physics of Sun and Star Spots, August, 2010.
"Solar filament extraction and characterization"
Proc. American Astronomical Society AAS 216th Meeting, May, 2010.
Proc. American Astronomical Society AAS 216th Meeting, May, 2010.
"An automated flare forecasting system using statistical and machine techniques"
Proc. Solar Physics Division Meeting, American Astronomical Society, June, 2009.
Proc. Solar Physics Division Meeting, American Astronomical Society, June, 2009.
"Flare prediction using photoshperic magnetic features"
Proc. Fourth Solar Image Processing Workshop, October (4th Quarter/Autumn), 2008.
Proc. Fourth Solar Image Processing Workshop, October (4th Quarter/Autumn), 2008.
Journal Article
Y. Shen, Hai Nhat Phan, Frank Y. Shih. 2025. "Adaptive data transformation in contrastive learning." Pattern Recognition and Artificial Intelligence, vol. 39, no. 10, pp. 16.
A. S. Rubel, Frank Y. Shih, Fadi P Deek. 2025. "BFC-Cap: background and frequency-guided contextual image captioning." Pattern Recognition and Artificial Intelligence, vol. 39, no. 8, pp. 25.
W. Cunha, A. Kaur, Frank Y. Shih. 2025. "Development of specialized deep-learning models for crop freshness assessment to mitigate post-harvest loss." Pattern Recognition and Artificial Intelligence, vol. 39, no. 1, pp. 26.
S. Nia, Frank Y. Shih. 2024. "Medical X-ray image enhancement using global contrast-limited adaptive histogram equalization." Pattern Recognition and Artificial Intelligence, vol. 38, no. 8, pp. 2457010 (17 pages).
Y. Wu, Frank Y. Shih, C. Wang, K. Hsiao, Y. Liu, F. Chang, E. Yu. 2024. "The deep hybrid neural network and an application on polyp detection." Pattern Recognition and Artificial Intelligence, vol. 38, no. 4, pp. 2452009 (21 pages).
Chun-Ming Tsai, Frank Y. Shih. 2024. "A Novel Multi-data-augmentation and Multi-deep-learning Framework for Counting Vehicles and Crowds ." Pattern Recognition and Artificial Intellgence, vol. 38, no. 2, pp. 2452001 (24 pages).
A.S. Rubel, Frank Y. Shih. 2023. "FPA-Net: Frequency-guided position-based attention network for land cover image segmentation." Pattern Recognition and Artificial Intelligence, vol. 37, no. 8, pp. 2354015 (20 pages).
Yucong Shen, Frank Y. Shih, Hao Chen. 2023. "Drug toxicity prediction by machine learning approaches." Pattern Recognition and Artificial Intelligence, vol. 37, no. 8, pp. 2351013 (14 pages).
Yanan Yang, Frank Y. Shih, IC Chang. 2022. "Adaptive image reconstruction for defense against adversarial attacks." Pattern Recognition and Artificial Intelligence, vol. 36, no. 12, pp. 2252022 (16 pages).
Y Shen, Frank Y. Shih, X Zhong, IC Chang. 2022. "Deep morphological neural networks." Pattern Recognition and Artificial Intelligence, vol. 36, no. 12, pp. 2252023 (21 pages).
C. M. Tsai, Frank Y. Shih, Z. Y. Lin. 2022. "An efficient detection and recognition system for multiple motorcycle license plates based on decision tree." Pattern Recognition and Artificial Intelligence, vol. 36, no. 5, pp. 2250022 (23 pages).
Y Yang, Frank Y. Shih, Usman W. Roshan. 2022. "Defense against adversarial attacks based on stochastic descent sign activation networks on medical images." Pattern Recognition and Artificial Intelligence, vol. 36, no. 3, pp. 2254005 (17 pages).
S Somasunder , Frank Y. Shih. 2021. "Land cover image segmentation based on individual class binary masks." Pattern Recognition and Artificial Intelligence, vol. 35, no. 16, pp. 2154034 (14 pages).
S Liu, Frank Y. Shih, X Zhong. 2021. "Classification of Chest X-Ray Images Based on Adaptive Morphological Neural Networks." Pattern Recognition and Artificial Intelligence, vol. 35, no. 10, pp. 2157006 (14 pages).
S Liu, X Zhong, Frank Y. Shih. 2021. "Joint learning for pneumonia classification and segmentation on medical images." Pattern Recognition and Artificial Intelligence, vol. 35, no. 5, pp. 2157003 .
Xin Zhong, Frank Y. Shih. 2021. "Automatic Image Pixel Clustering based on Mussels Wandering Optimization." Pattern Recognition and Artificial Intelligence, vol. 34, no. 11, pp. 2154005.
S Liu, Frank Y. Shih, Gareth J. Russell, Hai Nhat Phan. 2020. "Classification of ecological data by deep learning." Pattern Recognition and Artificial Intelligence, vol. 34, no. 13, pp. 2052010 .
Xin Zhong, Frank Y. Shih. 2020. "An Automated and Robust Image Watermarking Scheme Based on Deep Neural Networks." IEEE Trans. Multimedia, pp. 3006415.
Frank Y. Shih, H o Patel. 2020. "Deep learning classification on optical coherence tomography retina images." Pattern Recognition and Artificial Intelligence, vol. 34, no. 7, pp. 20.
Xin Zhong, Frank Y. Shih. 2019. "Robust multibit image watermarking based on contrast modulation and affine rectification." Pattern Recognition and Artificial Intelligence, vol. 33, no. 14, pp. 18.
Frank Y. Shih, Y Shen, New Jersey Institute o Technology. 2019. "Development of deep learning framework for mathematical morphology." Pattern Recognition and Artificial Intelligence, vol. 33, no. 6, pp. 16.
J Wang, T. Li, Frank Y. Shih. 2019. "Discrimination of computer-generated and photographic images based on color quaternion wavelet transform." Pattern Recognition and Artificial Intelligence, vol. 33, no. 2, pp. 13.
Xin Zhong, Frank Y. Shih. 2019. "An efficient saliency detection model based on wavelet generalized lifting." Pattern Recognition and Artificial Intelligence, vol. 33, no. 2, pp. 18.
Xin Zhong, Frank Y. Shih. 2019. "A high-capacity reversible watermarking scheme based on shape decomposition for medical images." Pattern Recognition and Artificial Intelligence, vol. 33, no. 1, pp. 14.
W Zhang, Frank Y. Shih, S Hu, M Jian, . 2018. "A visual secret sharing scheme based on improved local binary pattern." Pattern Recognition and Artificial Intelligence, vol. 32, no. 6, pp. 19.
Frank Y. Shih, Xin Zhong. 2017. "Automated counting and tracking of vehicles." Pattern Recognition and Artificial Intelligence, vol. 31, no. 12, pp. 1750038.
M Liao, Y.-Q. Zhao, Y.-Z. Zeng, B.-J. Zou, X.-F. Wang, Frank Y. Shih. 2017. "Automatic liver segmentation from abdominal CT volumes using graph cuts and border marching." Computer Methods and Programs in Biomedicine, vol. 143, no. 6, pp. 1-12.
Frank Y. Shih, Xin Zhong, I.C. Chang, Shin'ichi Satoh. 2017. "An adjustable-purpose image watermarking technique by particle swarm optimization." Multimedia Tools and Applications, vol. 31, no. 6.
C.M. Tsai, Frank Y. Shih. 2017. "An efficient image stitching method for heterogeneous car videos based on bounding boxes of features." Pattern Recognition and Artificial Intelligence, vol. 31, no. 5, pp. 1755008.
Frank Y. Shih, Xin Zhong. 2017. "Achieving image watermarking robustness by geometric rectification." Pattern Recognition and Artificial Intelligence, vol. 31, no. 4, pp. 1-16.
X. Wang, B. Gao, S. Masnou, L. Chen, Y. Zhao, Frank Y. Shih, . 2016. "Active colloids segmentation and tracking." Pattern Recognition, vol. 60, no. 8, pp. 177-188.
Frank Y. Shih, X. Zhong. 2016. "High-capacity multiple regions of interest watermarking for medical images." Information Sciences, vol. 367, no. 8, pp. 648-659.
M. Liao, Y. Q. Zhao, W. Wang, X.H. Li, Frank Y. Shih. 2016. "Efficient liver segmentation in CT images based on graph cuts and bottleneck detection." Physica Medica: European Journal of Medical Physics, vol. 32, no. 10, pp. 1383-1396.
Frank Y. Shih, Xin Zhong. 2016. "Intelligent watermarking for high-capacity low-distortion data embedding." Pattern Recognition and Artificial Intelligence, vol. 30, no. 5, pp. 1-17.
Frank Y. Shih, J. Jakson. 2015. "Copy-cover image forgery detection in parallel processing." Pattern Recognition and Artificial Intelligence, vol. 29, no. 8, pp. 1-14.
Y.Q. Zhao, X.H. Wang, X.F. Wang, Frank Y. Shih. 2014. "Retinal vessels segmentation based on level set method and region growing." Pattern Recognition, vol. 47, no. 7, pp. 2437-2446.
W.S. Wehner , Frank Y. Shih. 2014. "A self-directed method for image segmentation using a modified top-down region dividing approach." Pattern Recognition and Artificial Intelligence, vol. 28, no. 6, pp. 1-13.
John Marin, Frank Y. Shih. 2014. "Reversible data hiding techniques using multiple scanning difference value histogram modification." Journal of Information Hiding and Multimedia Signal Processing, vol. 5, no. 3, pp. 451-460.
Gavin Lynch, Frank Y. Shih, Hong-Yuan Liao. 2013. "An efficient expanding block algorithm for image copy-move forgery detection." Information Sciences, vol. 239, no. 8, pp. 253-265.
Y Q Zhao, M Liao, Frank Y. Shih, Yun-Qing Shi. 2012. "Tampered region detection of inpainting JPEG images." Optik- International Journal for Light and Electron Optics, pp. 6.
Y Q Zhao, M Liao, Frank Y. Shih, Yun-Qing Shi. 2012. "Tampered region detection of inpainting JPEG images." Optik- International Journal for Light and Electron Optics, pp. 6.
X H Li, Y Q Zhao, M Liao, Frank Y. Shih, Yun-Qing Shi. 2012. "Passive detection of copy-paste forgery between JPEG images." Journal of Central South University of Technology, vol. 19, pp. 13.
X H Li, Y Q Zhao, M Liao, Frank Y. Shih, Yun-Qing Shi. 2012. "Passive detection of copy-paste forgery between JPEG images." Journal of Central South University of Technology, vol. 19, pp. 13.
X H Li, Y Q Zhao, M Liao, Frank Y. Shih, Yun-Qing Shi. 2012. "Detection of tampered region for JPEG images by using mode based first digit features." EURASIP Journal on Advances in Signal Processing, vol. 190, pp. 22.
X H Li, Y Q Zhao, M Liao, Frank Y. Shih, Yun-Qing Shi. 2012. "Detection of tampered region for JPEG images by using mode based first digit features." EURASIP Journal on Advances in Signal Processing, vol. 190, pp. 22.
Y Q Zhao, X F Wang, Frank Y. Shih, G Yu. 2012. "A level-set method based on global and local regions for image segmentation." Pattern Recognition and Artificial Intelligence, vol. 26, no. 1, pp. 16.
D Xiao, Frank Y. Shih. 2012. "An improved hierarchical fragile watermarking scheme using chaotic sequence sorting and subblock post-processing." Journal of Optics Communications, vol. 285, no. 10-11, pp. 2596-2606.
W Zhang , Frank Y. Shih. 2011. "Semi-fragile spatial watermarking based on local binary pattern operators." Journal of Optics Communications, vol. 284, no. 16, pp. 3904-3912.
Yuan Yuan, Frank Y. Shih, Ju Jing, Haimin Wang, Jongchul Chae. 2011. "Automatic Solar Filament Segmentation and Characterization." Solar Physics, vol. 272, pp. 101.
Frank Y. Shih, A Sheppard. 2011. "An improved feature vocabulary based method for image categorization." Pattern Recognition and Artificial Intelligence, vol. 25, no. 3, pp. 415-429.
M Bachrach, Frank Y. Shih. 2011. "Image steganography and steganalysis." WIREs Computational Statistics, vol. 3, no. 3, pp. 251-259.
G Fu, Frank Y. Shih, Haimin Wang. 2011. "A kernel-based parametric method for conditional density estimation." Pattern Recognition, vol. 44, no. 2, pp. 284-294.
S Lian , Frank Y. Shih. 2011. "A special section of intelligent automation and soft computing: soft computing for copyright protection." Autosoft Journal of Intelligent Automation & Soft Computing, vol. 17, no. 2, pp. 189-190.
V G Edupuganti, Frank Y. Shih, I Chang. 2011. "An efficient block-based fragile watermarking system for tamper localization and recovery." Autosoft Journal of Intelligent Automation & Soft Computing, vol. 17, no. 2, pp. 257-267.
A Koval, Frank Y. Shih, Boris S. Verkhovsky. 2011. "A pseudo-random pixel rearrangement algorithm based on Gaussian integers for image watermarking." Journal of Information Hiding and Multimedia Signal Processing, vol. 2, no. 1, pp. 60-70.
Frank Y. Shih, A Stone. 2010. "A new image stabilization model for vehicle navigation." Journal of Positioning, vol. 1, no. 1, pp. 8-17.
D Xiao, Frank Y. Shih. 2010. "A reversible image authentication scheme based on chaotic fragile watermark." Intl. Journal of Innovative Computing, Information, and Control, vol. 6, no. 10, pp. 4731-4742.
W Zhang, Frank Y. Shih, N Lin, Y Liu. 2010. "Recognition of gas-liquid two-phase flow patterns based on improved local binary pattern operator." Inter. Journal of Multiphase Flow, vol. 36, no. 10, pp. 793-797.
D. Xiao, Frank Y. Shih, X. Liao. 2010. "A chaos-based hash function with both modification detection and localization." Communications in Nonlinear Science and Numerical Simulation, vol. 15, no. 9, pp. 2254-2261.
Frank Y. Shih, Yuan Yuan. 2010. "A wavelet-based encoding algorithm for high dynamic range images." The Open Signal Processing Journal, vol. 3, pp. 13-19.
Yuan Yuan, Frank Y. Shih, Ju Jing, Haimin Wang. 2010. "Automated flare forecasting using statistical and machine learning techniques." Research in Astronomy and Astrophysics, vol. 10, no. 8, pp. 785-796.
Yuan Yuan, Frank Y. Shih, Ju Jing, Haimin Wang. 2010. "Automated flare forecasting using statistical and machine learning techniques." Research in Astronomy and Astrophysics, vol. 10, no. 8, pp. 785-796.
Di Xiao, Frank Y. Shih. 2010. "Using the self-synchronizing method to improve security of the multi chaotic systems-based image encryption." Optics Communications, vol. 283, no. 15, pp. 3030-3036.
W. Zhang, Frank Y. Shih, N. Jin, Y. Liu. 2010. "Recognition of gas-liquid two-phase flow patterns based on improved local binary pattern operator." Inter. Journal of Multiphase Flow, vol. 36, pp. 793-797.
Frank Y. Shih, Yuan Yuan. 2010. "A wavelet-based encoding algorithm for high dynamic range images." The Open Signal Processing Journal, vol. 3, pp. 13-19.
Frank Y. Shih, Yuan Yuan. 2010. "A comparison study on copy-cover image forgery detection." The Open Artificial Intelligence Journal, vol. 4, pp. 49-54.
V. Edupuganti , Frank Y. Shih. 2010. "Authentication of JPEG Images based on Genetic Algorithms." The Open Artificial Intelligence Journal, vol. 4, pp. 30-36.
Frank Y. Shih, S. M. Tse. 2009. "Medical image processing technology for diagnosing and treating cancers." Recent Patents on Biomedical Engineering, vol. 2, no. 2, pp. 141-147.
Frank Y. Shih, V. G. Edupuganti. 2009. "A differential evolution based algorithm for breaking the visual steganalytic system." Soft Computing, vol. 13, no. 4, pp. 345-353.
T. Bober, Frank Y. Shih. 2009. "Image processing based methodology for optimizing automotive ignition timing." IEEE Trans. Vehicular Technology, vol. 58, no. 1, pp. 85-92.
Gang Fu, Frank Y. Shih, Haimin Wang. 2008. "Automatic detection of magnetic flux emergings in the solar atmosphere from full-disk magnetogram sequences." IEEE Trans. on Image Processing, vol. 17, no. 11, pp. 2174-2185.
Yi-Ta Wu, Frank Y. Shih, J. Shi, Y. Wu. 2008. "A top-down region dividing approach for image segmentation." Pattern Recognition, vol. 41, no. 6, pp. 1948-1960.
Book
Frank Y. Shih. "AI Deep Learning in Image Processing." Taylor & Francis Group, CRC Press, 2025.
Frank Y. Shih. "The Present and Future of Artificial Intelligence: How It Will Change the Entire World." 688 pp. Flag Publisher, 2024. ISBN 978-9863128120.
Frank Y. Shih. "Digital Watermarking and Steganography: Fundamentals and Techniques, Second Edition." 270 pp. CRC Press, 2017. ISBN 978-1-4987-3876-7.
Frank Y. Shih. "Image Processing and Pattern Recognition: Fundamentals and Applications." 537 pp. IEEE Press and Wiley Publisher, 2010. ISBN 978-0-470-40461-4.
Frank Y. Shih. "Image Processing and Mathematical Morphology: Fundamentals and Applications." 439 pp. Taylor & Francis Group, CRC Press, 2009. ISBN 978-1420089431 .
Frank Y. Shih. "Digital Watermarking and Steganography: Fundamentals and Techniques." Taylor & Francis Group, CRC Press, 2008. ISBN 978-1420069501 .
Chapter
Y Xue, Y Yang, G Farhat, Frank Y. Shih. "Brain tumor classification with tumor segmentations and a dual path residual convolutional neural network from MRI and pathology images." In A. Crimi and S. Bakas, eds., pp. 1-8. Springer Nature Switzerland , 2020.
Frank Y. Shih. "Automated detection and classification of solar image features." pp. 435-452. Handbook of Pattern Recognition and Computer Vision, World Scientific Publishing, 2010.
Frank Y. Shih. "Image Segmentation." Encyclopedia of Database Systems, Springer, 2009.
Frank Y. Shih, Y. Wu. "Information hiding by digital watermarking." pp. 205-223. Information Hiding and Applications, Springer, 2009.
Frank Y. Shih, Yi-Ta Wu. "Information hiding by digital watermarking." In J.-S. Pang, H.-C. Huang, and L. C. Jain, eds., pp. 205-223. Springer, 2009.
S. Cheng, Frank Y. Shih. "Feature reduction for support vector machines." In J. Wang, eds., Idea Group Reference, 2009.
Frank Y. Shih, Yi-Ta Wu. "Digital steganography based on genetic algorithm." In Lian and Zhang, eds., pp. 441-455. Information Science Reference, 2009.
Frank Y. Shih, Ju Jing, Ming Qu, Haimin Wang. "Application of machine learning in solar physics." In P. Wang, eds., pp. 259-286. Nova Science Publishers, 2008.