Your portrait

Meng Wang (王萌)

Assistant Professor, School of Data Science, Lingnan University, Hong Kong
Video compression Generative Compression Signal Processing IQA/AGC

Introduction

WANG Meng has been deeply engaged in the field of video compression and artificial intelligence for more than ten years. Her research interests span a wide range of advanced technologies, with a particular focus on artificial intelligence-based coding, generative coding, next-generation video coding standards, and video coding optimizations. She has authored and co-authored more than 60 international journal and conference papers (including 31 IEEE Transaction papers). She has been actively involved in the development of coding standards, including VVC, AVS3, and JPEG-AI (a new-generation neural-network based image coding standard), where 27 of her technical proposals are adopted including significant modifications on core coding modules. These standards are widely used in various industries, from multimedia and entertainment to communication and surveillance. She is serving as an associate editor of IEEE T-CSVT. She has successfully secured the Hong Kong RGC Early Career Scheme (ECS) grant in her first eligible year. The total citations reach over 1000 according to Google Scholar.

Professional Experiences
  • 2024 – Now · Assistant Professor, Lingnan Univesity
  • 2021 – 2024 · Postdoc Researcher, City University of Hong Kong
Education
  • 2018-2021 · Ph.D in Computer Science, City University of Hong Kong
  • 2015-2018 · M.S. in Computer Application Technology, Peking University
  • 2021-2015 · B.Sc. Electronic Information Engineering (Honors Program), China Agricultural University

Recruitment!!

  • We are looking for highly motivated PhD students, MPhil students, and assistant researchers to join our team working on computer vsion, video compression, large language vision models, 3D scene reconstruction and generative media systems.
  • Successful Mphil/PhD candidates will be provided with a full scholarship . If you are passionate about pushing the frontier of intelligent visual communication, please send your CV, transcript, and representative works to: mengwang7 at ln.edu.hk

Professional Service

    Editorial Services

    • Associate Editor, IEEE Transactions on Circuits and Systems for Video Technology

    Journal and Conference Reviewers

    • IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
    • IEEE Transactions on Image Processing (TIP)
    • IEEE Transactions on Multimedia (TMM)
    • IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
    • Journal of Visual Communication and Image Representation
    • IEEE Signal Processing Letter
    • IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR)
    • ACM International Conference on Multimedia (ACM MM)

Honors

  • LU Research & Knowledge Transfer Fund Award 2025 (RGC Grant)
  • Top Performance Award in the VVC Encoder-only Track of The Grand Challenge on Neural Network-based Video Coding in IEEE ISCAS (2025)
  • Top Performance Award in the Hybrid Track of The Grand Challenge on Neural Network-based Video Coding in IEEE ISCAS (2024)
  • Top Performance Award in the End-to-end Track of The Grand Challenge on Neural Network-based Video Coding in IEEE ISCAS (2024)
  • Top Performance Award in the VVC Encoder-only Track of The Grand Challenge on Neural Network-based Video Coding in IEEE ISCAS (2024)
  • Silver Medal, 48th International Exhibition of Inventions Geneva (2023)
  • Technology Innovation Award in ChinaMM (2022)
  • AVS Industry Technology Innovation Award (2019/2021)
  • Outstanding Academic Performance Award in City University of Hong Kong (2020)
  • Research Tuition Scholarship in City University of Hong Kong (2020)

Teaching

  • 2024 CDS534: Database Management
  • 2025 CDS521: Foundation of Artificial Intelligence

Contact

Office: Unit A, 1/F, Lingnan Hub, Lingnan University 8 Castle Peak Rd, Tuen Mun, Hong Kong
Phone: (852) 26168136
Email: mengwang7 at ln.edu.hk