Staff Profile

Biography

Jeff Au Yeung received his B. Eng. (First Class Honours), M. Phil. and Ph.D. degrees from the Hong Kong University of Science and Technology in 2003, 2005 and 2011 respectively. His areas of interest include Digital Video Processing, Multimedia Security, Automatic Speech Recognition, Machine Learning and Deep Learning. He is currently a Senior Lecturer in the School of Science and Technology, The Hong Kong Metropolitan University. From 2013 to 2021. He worked in HKUSPACE Community College as a College Senior Lecturer (Programme Coordinator of Associate of Engineering since 2017). He established the Higher Diploma in Data Science programme in HKUSPACE CC in 2019. From 2015 to 2018, Dr. Au Yeung was invited as a consultant in TFI Digital Media Limited which focus on applied research in state-of-art video streaming technology. Dr. Au Yeung is a senior member of IEEE.

Teaching Areas & Research Interests

• Digital Video Processing
• Automatic Speech Recognition
• Machine Learning
• Signal Processing

Selected Publications

Journal Articles

• Bing Zeng, Jeff Siu-Kei Au-Yeung, Shuyuan Zhu, Moncef Gabbouj: Perceptual Encryption of H.264 Videos: Embedding Sign-Flips Into the Integer-Based Transforms. IEEE Transactions on Information Forensics and Security 9(2): 309-320 (2014)
• Shuyuan Zhu, Jeff Siu-Kei Au-Yeung, Bing Zeng, Jiying Wu: Total-variation based picture reconstruction in multiple description image and video coding. Sig. Proc.: Image Comm. 27(2): 126-139 (2012)
• Jeff Siu-Kei Au-Yeung, Shuyuan Zhu, Bing Zeng: Design of New Unitary Transforms for Perceptual Video Encryption. IEEE Trans. Circuits Syst. Video Techn. 21(9): 1341-1345 (2011)
• Jeff Siu-Kei Au Yeung, Shuyuan Zhu and Bing Zeng, "Perceptual Video Encryption: A Multiple Transforms Based Approach and its Quality Assessment," International Journal of Wireless Communication and Networking 2010, Vol.2 No.2, pp. 79-88, 2010
• Shuyuan Zhu, Jeff Siu-Kei Au-Yeung, Bing Zeng: In Search of "Better-than-DCT" Unitary Transforms for Encoding of Residual Signals. IEEE Signal Process. Lett. 17(11): 961-964 (2010)
• Shuyuan Zhu, Jeff Siu-Kei Au-Yeung, Bing Zeng: R-D Performance Upper Bound of Transform Coding for 2-D Directional Sources. IEEE Signal Process. Lett. 16(10): 861-864 (2009)
• Jeff Siu-Kei Au-Yeung, Shuyuan Zhu, Bing Zeng: Partial Video Encryption Based on Alternating Transforms. IEEE Signal Process. Lett. 16(10): 893-896 (2009)
• Jeff Siu-Kei Au-Yeung, Man-Hung Siu: Evaluation of the robustness of the polynomial segment models to noisy environments with unsupervised adaptation. Speech Communication 50(10): 769-781 (2008)
• Jeff Siu-Kei Au-Yeung, Man-Hung Siu: Maximum Likelihood Linear Regression Adaptation for the Polynomial Segment Models. IEEE Signal Process. Lett. 13(10): 644-647 (2006)
• Chak-Fai Li, Man-Hung Siu, Jeff Siu-Kei Au-Yeung: Recursive likelihood evaluation and fast search algorithm for polynomial segment model with application to speech recognition. IEEE Transactions on Audio, Speech & Language Processing 14(5): 1704-1718 (2006)

Selected Professional & Community Services

• Programme Committee, The 4th International Symposium on Emerging Technologies for Education, 2019
• Programme Committee, The 6th International Symposium on Emerging Technologies for Education, 2021

Further Information

Link to Google Scholar page

Modified Date: 02 Sep, 2023
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