Calculated based on number of publications stored in Pure and citations from Scopus
20042025

Research activity per year

Personal 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.

Research interests

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

Qualifications

BEng(Hons) [HKUST], MPhil [HKUST], PhD [HKUST], SMIEEE, MIET, MHKCS

Memberships

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

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Collaborations and top research areas from the last five years

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  • A lightweight end-to-end anti-spoofing voice model based on WavLM

    Fu, J., Au Yeung, S. K. & Hung, K., 5 Feb 2025, ICACS 2024 - Proceedings of the 2024 8th International Conference on Algorithms, Computing and Systems. p. 157-160 4 p. (ICACS 2024 - Proceedings of the 2024 8th International Conference on Algorithms, Computing and Systems).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Complement decoded point cloud with coordinate adjustment for video-based point cloud compression

    Li, Z., Bao, J., Liu, Y., Au Yeung, S. K., Zhu, S. & Hung, K., Jan 2025, In: Signal, Image and Video Processing. 19, 1, 48.

    Research output: Contribution to journalArticlepeer-review

  • Color Enhancement for V-PCC Compressed Point Cloud via 2D Attribute Map Optimization

    Bao, J., Liu, Y., Li, Z., Zhu, S. & Yeung, S. K. A., 2024, 2024 IEEE International Conference on Visual Communications and Image Processing, VCIP 2024. (2024 IEEE International Conference on Visual Communications and Image Processing, VCIP 2024).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
  • RAG for Question-Answering for Vocal Training Based on Domain Knowledge Base

    Leung, C. H. J., Yi, Y., Kuai, L., Li, Z., Yeung, S. K. A., Lee, K. W. J., Ho, K. H. K. & Hung, K., 2024, Proceedings of the 2024 11th IEEE International Conference on Behavioural and Social Computing, BESC 2024. (Proceedings of the 2024 11th IEEE International Conference on Behavioural and Social Computing, BESC 2024).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Cantonese to Written Chinese Translation via HuggingFace Translation Pipeline

    Kwok, R. Y. K., Ay Yeung, S. K., LI, Z. & Hung, K., 15 Dec 2023, NLPIR 2023 - 2023 7th International Conference on Natural Language Processing and Information Retrieval. p. 77-84 8 p. (ACM International Conference Proceeding Series).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    1 Citation (Scopus)