In Progress

  • A. Dasgupta and X. Zhong, "Learning an Invariant Domain for Image Watermarking," in preparation.

  • N. Khatri and X. Zhong, "A Perspective Transformation Layer for Deep Learning-based Image Watermarking," in preparation.

  • ...


Recent

  • T. Munyer, C. Huang, P. Huang, and X. Zhong, "FOD-A: A Dataset for Foreign Object Debris in Airports," in International Conference on Machine Learning and Applications, IEEE, to appear.

  • A. Das and X. Zhong, "A Deep Learning-based Audio-in-Image Watermarking Scheme," in Visual Communications and Image Processing, IEEE, to appear.

  • S. Liu, F. Y. Shih, X. Zhong, "Classification of chest X-ray images using novel adaptive morphological neural networks," International Journal of Pattern Recognition and Artificial Intelligence, vol. 35, no. 10, p.2157006 (14 pages), 2021.

  • X. Zhong, P. Huang, S. Mastorakis, and F. Y. Shih, "An Automated and Robust Image Watermarking Scheme Based on Deep Neural Networks," IEEE Transactions on Multimedia, vol. 23, pp. 1951-1961, 2021.

  • S. Mastorakis, X. Zhong, P. Huang, and R. Tourani, "DLWIoT: Deep Learning-based Watermarking for Authorized IoT Onboarding," in 2021 IEEE 18th Annual Consumer Communications & Networking Conference (CCNC), 2021, pp. 1-7.


More

  • T. Munyer, D. Brinkman, C. Huang, and X. Zhong, "Integrative Use of Computer Vision and Unmanned Aircraft Technologies in Public Inspection: Foreign Object Debris Image Collection," in DG. O2021: The 22nd Annual International Conference on Digital Government Research, 2021, pp. 437-443.

  • S. Liu, X. Zhong, and F. Y. Shih, "Joint learning for pneumonia classification and segmentation on medical images," International Journal of Pattern Recognition and Artificial Intelligence, vol. 35, no. 5, p.2157003 (19 pages), 2021.

  • X. Zhong and F.Y. Shih, "Automatic Image Pixel Clustering based on Mussels Wandering Optimization," International Journal of Pattern Recognition and Artificial Intelligence, vol. 35, no. 2, p.2154005 (17 pages), 2021.

  • D. Abeyrathna, P. Huang, and X. Zhong, "Anomaly Proposal-based Fire Detection for Cyber-Physical Systems," in Proceedings of the 2019 International Conference on Computational Science and Computational Intelligence (CSCI), IEEE, 2019, pp. 1203-1207. (acceptance rate 17%)

  • F.Y. Shih, Y. Shen and X. Zhong, "Development of Deep Learning Framework for Mathematical Morphology," International Journal of Pattern Recognition and Artificial Intelligence, vol. 33, no. 6, p. 1954024, 2019.

  • X. Zhong and F.Y. Shih, "An Efficient Saliency Detection Model Based on Wavelet Generalized Lifting," International Journal of Pattern Recognition and Artificial Intelligence, vol. 33, no. 2, p.1954006, 2019.

  • X. Zhong and F.Y. Shih, "Robust Multibit Image Watermarking based on Contrast Modulation and Affine Rectification," International Journal of Pattern Recognition and Artificial Intelligence, vol. 33, no. 14, p.1954036, 2019.

  • X. Zhong and F.Y. Shih, " A High-Capacity Reversible Watermarking Scheme Based on Shape Decomposition for Medical Images," International Journal of Pattern Recognition and Artificial Intelligence, vol.33, no.1, p.1950001, 2019.

  • F.Y. Shih, X. Zhong, I. C. Chang and S. I. Satoh, "An Adjustable-purpose Image Watermarking Technique by Particle Swarm Optimization." Multimedia Tools and Applications, vol. 77, no.2, pp.1623-1642, 2018.

  • F.Y. Shih and X. Zhong, "Achieving Image Watermarking Robustness by Geometric Rectification," International Journal of Pattern Recognition and Artificial Intelligence, vol. 31, no.04, pp.1754007, 2017.

  • F.Y. Shih and X. Zhong, "Automated Counting and Tracking of Vehicles." International Journal of Pattern Recognition and Artificial Intelligence, vol. 31, no.12, pp.1750038, 2017.

  • F.Y. Shih and X. Zhong, "High-capacity Multiple Regions of Interest Watermarking for Medical Images." Information Sciences, vol. 367, pp.648-659, 2016.

  • F.Y. Shih and X. Zhong, "Intelligent Watermarking for High-Capacity Low-Distortion Data Embedding." International Journal of Pattern Recognition and Artificial Intelligence, vol. 30, no. 05, pp.1654003, 2016.

  • M. Huynh, X. Zhong and P. Ghimire, "Developing a QR Code/Barcode Processor with a User-Defined Database Feature," Business Studies Journal, vol. 6, 2014.