Skip to main content

Li, Wanqing Associate Professor

B.Sc (ZJU), M.Sc (ZJU), PhD (UWA), SMIEEE

  • Director - Advanced Multimedia Research Laboratory
  • Faculty of Engineering and Information Sciences
  • School of Computing & Information Technology

Overview


Wanqing Li received his B.Sc and M.Sc from Zhejiang University and PhD from The University of Western Australia, Australia. He joined Motorola Lab in Sydney (98-03) as a Senior Researcher and later a Principal Researcher. He received Motorola CTO’s Award in 2003 for his significant technical contribution to video-based motion analysis. He was a visiting researcher at Microsoft Research US in 2008, 2010 and 2013. He is currently an Associate Professor and Director of Advanced Multimedia Research Lab (AMRL) of University of Wollongong, Australia.
His research areas are machine learning, 3D computer vision and 3D multimedia signal processing and security, including 3D reconstruction, human motion analysis, human-computer interactions, detection of objects and events, immersive and free-viewpoint video, medical image processing and their applications to aged care and health monitoring. He is one of the earliest researchers and advocates of understanding human activities from 3D data, one of the most popular research topics now in computer vision and machine learning. His research results have expounded in one book and 180+ publications at prestigious journals and prominent conferences, such as TIP, IJCV, TNNLS, TCSVT, TMM, CVPR, ICCV, AAAI, IJCAI, ACM MM and ICME.

Research Overview


  • He mainly applies statistics and mathematics to spatial-temporal data analytics and his research interest spread across machine learning, pattern recognition, computer vision, neural networks, multimedia, image processing, video surveillance and their application to health. He pioneered in 2010 and nurtured in the subsequent years the research of understanding human activities from 3D data, one of the most popular research topics now in computer vision and machine learning. His research results have expounded in one book and 180+ publications at prestigious journals and prominent conferences, such as TIP, IJCV, TNNLS, TCSVT, TMM, CVPR, ICCV, AAAI and ACM MM. His publications have been cited in Google Scholar ~5500, his H-Index is 36 (all) and 33 (since 2015) in Google Scholar, 30 in Scopus. The highest citations of a single paper is 1250+ in Google Scholar.

    Current Main Research Activities:
    • Machine Learning - Statistical learning, deep learning
    • 3D Computer Vision - Human activity understanding, human detection, gait recognition, 3D sensing and reconstruction from RGB-D data
    • 3D Multimedia Signal Processing and Understanding – scene analysis and event detection
    • Free Viewpoint Video (FVV) – Acquisition, processing, understanding and compression
    • Medical Image Processing and Understanding – Image reconstruction for low-dose X-ray and fast MR imaging, segmentation of medical images

Available as Research Supervisor

Selected Publications


Available as Research Supervisor

Advisees


  • Graduate Advising Relationship

    Degree Research Title Advisee
    Doctor of Philosophy (Integrated) Using Data from the Electronic Medical Records to Support Type 2 Diabetes Management (Development of an eHealth initiative for managing Type 2 Diabetes).
    Doctor of Philosophy (Integrated) Vision-based Automatic Postural Assessment Ding, Zewei
    Doctor of Philosophy Computer Vision and Machine Learning in Disaster Management and Monitoring Process Iqbal, Umair
    Doctor of Philosophy (Integrated) Human Activity Recognition Yatanwala, Yatanwala Withanamalage Thilini Merian
    Master of Philosophy - EIS Comparative Study of Deep Neural Network Architectures for Non-Rigid Retinal Image Registration Tian, Chuanhui
    Doctor of Philosophy Light Field Acquisition for Free-viewpoint Video. FU, Shichao

Teaching Overview


  • Dr Li was a Lecturer from 1987 to 1990 and Associate Professor from 1991 to 1992, both with the Department of Computer Science and Technology, Zhejiang University of China. From 1992 to 1993, he was a visiting Research Fellow with the Computer Science Department, Murdoch University, Australia.  From 1997 to 1998, he worked as an Information Technology Officer with the Bureau of Meteorology, Australia. He joined Motorola Australian Research Centre in 1998 as a Senior Research Engineer and later a Principal Research Engineer. Since 2004, he has been a Senior Lecturer with the School of Information Technology and Computer Science, University of Wollongong.

    Dr. Li is a co-founder of the Centre for Multimedia Signal Processing and Content Management at University of Wollongong. He has 17 years combined industrial and academic research experience in multimedia. He has initiated, led and contributed to a number of successful R&D projects funded by government and industry. He received Motorola CTO's Award in 2003 due to his significant contribution in the area of video analysis. Dr Li has filed four US patents.  He has authored and co-authored over 50 refereed papers in the field of multimedia signal processing. His current research interests are human motion analysis, multimodal biometric cryptosystems, automatic annotation and intelligent retrieval and adaptation of multimedia content and image/video watermarking. Dr. Li regularly serves  as a committee member and session chair in international conferences and a reviewer of IEEE Transactions.


Keywords


  • Machine Learning (Deep Learning) and 3D Computer Vision - Human activity understanding, human detection, gait recognition, 3D sensing and reconstruction from RGB-D data

    3D Multimedia Signal Processing and Understanding – scene analysis and event detection

    Free Viewpoint Video (FVV) – Acquisition, processing, understanding and compression

    Medical Image Processing and Understanding – Image reconstruction for low-dose X-ray and fast MR imaging, segmentation of medical images

Fax


  • +61 2 4221 4170

Research Overview


  • He mainly applies statistics and mathematics to spatial-temporal data analytics and his research interest spread across machine learning, pattern recognition, computer vision, neural networks, multimedia, image processing, video surveillance and their application to health. He pioneered in 2010 and nurtured in the subsequent years the research of understanding human activities from 3D data, one of the most popular research topics now in computer vision and machine learning. His research results have expounded in one book and 180+ publications at prestigious journals and prominent conferences, such as TIP, IJCV, TNNLS, TCSVT, TMM, CVPR, ICCV, AAAI and ACM MM. His publications have been cited in Google Scholar ~5500, his H-Index is 36 (all) and 33 (since 2015) in Google Scholar, 30 in Scopus. The highest citations of a single paper is 1250+ in Google Scholar.

    Current Main Research Activities:
    • Machine Learning - Statistical learning, deep learning
    • 3D Computer Vision - Human activity understanding, human detection, gait recognition, 3D sensing and reconstruction from RGB-D data
    • 3D Multimedia Signal Processing and Understanding – scene analysis and event detection
    • Free Viewpoint Video (FVV) – Acquisition, processing, understanding and compression
    • Medical Image Processing and Understanding – Image reconstruction for low-dose X-ray and fast MR imaging, segmentation of medical images

Selected Publications


Advisees


  • Graduate Advising Relationship

    Degree Research Title Advisee
    Doctor of Philosophy (Integrated) Using Data from the Electronic Medical Records to Support Type 2 Diabetes Management (Development of an eHealth initiative for managing Type 2 Diabetes).
    Doctor of Philosophy (Integrated) Vision-based Automatic Postural Assessment Ding, Zewei
    Doctor of Philosophy Computer Vision and Machine Learning in Disaster Management and Monitoring Process Iqbal, Umair
    Doctor of Philosophy (Integrated) Human Activity Recognition Yatanwala, Yatanwala Withanamalage Thilini Merian
    Master of Philosophy - EIS Comparative Study of Deep Neural Network Architectures for Non-Rigid Retinal Image Registration Tian, Chuanhui
    Doctor of Philosophy Light Field Acquisition for Free-viewpoint Video. FU, Shichao

Teaching Overview


  • Dr Li was a Lecturer from 1987 to 1990 and Associate Professor from 1991 to 1992, both with the Department of Computer Science and Technology, Zhejiang University of China. From 1992 to 1993, he was a visiting Research Fellow with the Computer Science Department, Murdoch University, Australia.  From 1997 to 1998, he worked as an Information Technology Officer with the Bureau of Meteorology, Australia. He joined Motorola Australian Research Centre in 1998 as a Senior Research Engineer and later a Principal Research Engineer. Since 2004, he has been a Senior Lecturer with the School of Information Technology and Computer Science, University of Wollongong.

    Dr. Li is a co-founder of the Centre for Multimedia Signal Processing and Content Management at University of Wollongong. He has 17 years combined industrial and academic research experience in multimedia. He has initiated, led and contributed to a number of successful R&D projects funded by government and industry. He received Motorola CTO's Award in 2003 due to his significant contribution in the area of video analysis. Dr Li has filed four US patents.  He has authored and co-authored over 50 refereed papers in the field of multimedia signal processing. His current research interests are human motion analysis, multimodal biometric cryptosystems, automatic annotation and intelligent retrieval and adaptation of multimedia content and image/video watermarking. Dr. Li regularly serves  as a committee member and session chair in international conferences and a reviewer of IEEE Transactions.


Keywords


  • Machine Learning (Deep Learning) and 3D Computer Vision - Human activity understanding, human detection, gait recognition, 3D sensing and reconstruction from RGB-D data

    3D Multimedia Signal Processing and Understanding – scene analysis and event detection

    Free Viewpoint Video (FVV) – Acquisition, processing, understanding and compression

    Medical Image Processing and Understanding – Image reconstruction for low-dose X-ray and fast MR imaging, segmentation of medical images

Fax


  • +61 2 4221 4170
uri icon