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Wang, Lei Associate Professor

Associate Professor

  • Faculty of Engineering and Information Sciences
  • School of Computing & Information Technology
  • Leader - Visual Information Learning Analysis (VILA) Group 2011 -
  • Head of Postgradute Studies - School of Computing and Information Technology 2016 -

Overview


We are recruiting a Research Fellow for an ARC Discovery Project titled “Learning kernel-based high-order visual representation for image retrieval”.

The Associate Research Fellow will perform the research tasks specified by the project, which include the development of theories, methods, and algorithms to learn visual representations that model the high-order information of image content. The candidate must have solid background and research experience in computer vision, pattern recognition, and machine learning. It is expected that the candidate will complete all the research tasks required by the project within the specified time frame and make significant contributions to the research activities within VILA and SCIT.

Should you have any questions related to this position, please do not hesitate to contact Lei Wang via leiw@uow.edu.au.

Also, we are recruiting two PhD students (with full PhD scholarships)

The Visual Information Learning and Analysis group (VILA) at the School of Computing and Information Technology (SCIT), University of Wollongong, Australia, is looking to recruit two PhD students to work on the following topics including, but not limited to, high-order visual representation, image retrieval, low-shot learning, deep unsupervised and semi-supervised learning, and long-tailed classification.

Each student will be supported by a full UOW PhD scholarship, including a Tuition fee scholarship and a stipend scholarship. The candidate must meet the entry requirements listed at this UOW website and is able to demonstrate knowledge in the fields relevant to computer vision, pattern recognition, and machine learning. Excellent Math and programming skills are highly desirable. Having publications at leading and well-regarded conferences and/or journals in the related fields is a big plus.

Should you have any questions related to this position, please do not hesitate to contact Lei Wang (leiw@uow.edu.au) or Peng Wang (pengw@uow.edu.au).



Dr. Lei Wang received the B.Eng and M.Eng from Southeast University, China in 1996 and 1999, respectively, and the Ph.D. from School of EEE in Nanyang Technological University, Singapore in 2004. He worked as research associate and research fellow in Nanyang Technological University from 2003 to 2005. After that, he joined the Department of Information Engineering, RSISE, The Australian National University as research fellow. In Jan 2007, he was awarded the Australian Postdoctoral Fellowship by the Australian Research Council and worked as APD research fellow from 2007 to 2009. In May 2009, he was awarded the Early Career Researcher Award by Australian Academy of Science and Australian Research Council. From Jan 2010, he works as Fellow in School of Engineering of the College of Engineering and Computer Science. Now he is associate professor of Faculty of Engineering and Information Sciences of University of Wollongong. He established and leads the group VILA (Visual Information Learning and Analysis). 

His research interest lies in machine learning, pattern recognition and computer vision. For machine learning and pattern recognition, he is interested in feature selection, model selection, and kernel-based learning methods. For computer vision, he is interested in content-based image retrieval and generic image categorisation. Besides, he has broad interest in the topics in the fields of pattern recognition and data analysis.

 

 

 

Top Publications


Research Overview


  • Lei Wang's research expertise is in the fields of pattern recognition and machine learning, with the application to computer vision, biomedical imaging, and bioinformatics. He has published extensively in these fields, with about 160 peer-reviewed research articles to date. Among the journals and conferences that he regularly publishes his research in, many of them are ERA A*/A (or tier Q1 or ranked top 10-20% in its disciplines) outlets, including the top-ranked conferences such as CVPR, ICCV, ECCV, NIPS, AAAI and MICCAI, and the prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence (ranked among top 2 of the 121 journals in the categories of computer science and artificial intelligence according to Journal Citation Report), IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Biomedical Engineering, Journal of Machine Learning Research, Pattern Recognition, IEEE Transactions on Image Processing, and IEEE Journal of Biomedical and Health Informatics, to name a few.

    According to Google Scholar, the total number of citations of his publications is close to 5000, the i-10 index is 78, and the h-index is 35 (checked on April 2020). The most cited publications in his track record are on pattern recognition and machine learning. 

Available as Research Supervisor

Selected Publications


Presentations


Other Research Activities


Impact Story


Available as Research Supervisor

Potential Supervision Topics


  • Content-based Image Retrieval
    Deep Learning for Visual Recognition
    Unsupervised Feature Learning

Advisees


  • Graduate Advising Relationship

    Degree Research Title Advisee
    Doctor of Philosophy Sample Adaptive based Instance Reteivad with Transfer Learning Zhang, Zhongyan
    Doctor of Philosophy Per-voxel Prediction on Medical Images via Deep Neural Networks Yu, Biting
    Master of Philosophy Text-based Guidance for Improved Image Retrieval Comor, Ian
    Doctor of Philosophy Transfer Deep Learning with Applications to Smart Infrastructure and Visual Data Analysis Ding, Yu
    Doctor of Philosophy Fine-grained Image Recognition using Deep Learning Rahman, Saimunur
    Master of Research - EIS Domain ontology for quality of care indicators measured in Australian Residential Aged Care Facilities Yin, Cedar
    Master of Philosophy - EIS Content-Based Image Retrieval with Symbolic Data Analysis and Explainable Artificial Intelligence Chakraborty, Bela
    Doctor of Philosophy Analyzing And Recognition of Video Information Through Machine Learning Sangrasi, Din
    Doctor of Philosophy Multi-sensor based system monitoring and defect indentification for wire arc additive manufacturing process Yuxing, Li
    Master of Philosophy - EIS Research in Object Detection with Deep Network Zhou, Zhexuan
    Master of Research - EIS Machine learning to understand agitation management for people with dementia in residential aged care Ke, Jiang

Outreach Overview


  • I have been actively engaged with communities and industries. My research work is about image search, which has a wide range of practical applications. I have met with university library, Kiama council, state & national archives, Carsales, and real estate agencies to introduce my work. In particular, to contribute to the development of local business, I joined UOW Entrepreneur Club (eClub) and regularly attended networking events, workshops and presentations. Through these activities, I established connections with local entrepreneurs and industry specialists. In July 2013, I participated in UOW Pitch Competition to present my idea on online shopping and obtained the finalist certificate. In addition to maintaining regular contact with local business, I developed collaborations with IT companies in China and US to commercialize my research work. Through these activities, I have been deeply impressed by the enthusiasm of industries on innovations and novel techniques. Also, I concretely realize the vital role of academic research in this regard. 

    In particular, I extended my research work to discover, protect and disseminate the culture of local community. Supported by a 2016 UOW community engagement grant titled “Retrieving Lost Community Stories: Linking Regional Archival Photo Collections using Advanced Visual Technologies,” I worked with UOW library, Illawarra Museum and Wollongong City Libraries to link their archival photo collections to share information. Also, my work enables community members to unprecedentedly query these collections with photos from their old family albums to discover lost stories. In doing so, my research work well supports the way that community connects with local history, by innovating community’s access to digital archival photo material. A demonstration website is being built to show the local community all the functions.

Full Name


  • Lei Wang

Mailing Address


  • Building 3 Room 219

    School of SCIT, University of Wollongong

    Wollongong

    NSW

    2522

    Australia

Web Of Science Researcher Id


  • D-9079-2013

Top Publications


Research Overview


  • Lei Wang's research expertise is in the fields of pattern recognition and machine learning, with the application to computer vision, biomedical imaging, and bioinformatics. He has published extensively in these fields, with about 160 peer-reviewed research articles to date. Among the journals and conferences that he regularly publishes his research in, many of them are ERA A*/A (or tier Q1 or ranked top 10-20% in its disciplines) outlets, including the top-ranked conferences such as CVPR, ICCV, ECCV, NIPS, AAAI and MICCAI, and the prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence (ranked among top 2 of the 121 journals in the categories of computer science and artificial intelligence according to Journal Citation Report), IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Biomedical Engineering, Journal of Machine Learning Research, Pattern Recognition, IEEE Transactions on Image Processing, and IEEE Journal of Biomedical and Health Informatics, to name a few.

    According to Google Scholar, the total number of citations of his publications is close to 5000, the i-10 index is 78, and the h-index is 35 (checked on April 2020). The most cited publications in his track record are on pattern recognition and machine learning. 

Selected Publications


Presentations


Other Research Activities


Impact Story


Potential Supervision Topics


  • Content-based Image Retrieval
    Deep Learning for Visual Recognition
    Unsupervised Feature Learning

Advisees


  • Graduate Advising Relationship

    Degree Research Title Advisee
    Doctor of Philosophy Sample Adaptive based Instance Reteivad with Transfer Learning Zhang, Zhongyan
    Doctor of Philosophy Per-voxel Prediction on Medical Images via Deep Neural Networks Yu, Biting
    Master of Philosophy Text-based Guidance for Improved Image Retrieval Comor, Ian
    Doctor of Philosophy Transfer Deep Learning with Applications to Smart Infrastructure and Visual Data Analysis Ding, Yu
    Doctor of Philosophy Fine-grained Image Recognition using Deep Learning Rahman, Saimunur
    Master of Research - EIS Domain ontology for quality of care indicators measured in Australian Residential Aged Care Facilities Yin, Cedar
    Master of Philosophy - EIS Content-Based Image Retrieval with Symbolic Data Analysis and Explainable Artificial Intelligence Chakraborty, Bela
    Doctor of Philosophy Analyzing And Recognition of Video Information Through Machine Learning Sangrasi, Din
    Doctor of Philosophy Multi-sensor based system monitoring and defect indentification for wire arc additive manufacturing process Yuxing, Li
    Master of Philosophy - EIS Research in Object Detection with Deep Network Zhou, Zhexuan
    Master of Research - EIS Machine learning to understand agitation management for people with dementia in residential aged care Ke, Jiang

Outreach Overview


  • I have been actively engaged with communities and industries. My research work is about image search, which has a wide range of practical applications. I have met with university library, Kiama council, state & national archives, Carsales, and real estate agencies to introduce my work. In particular, to contribute to the development of local business, I joined UOW Entrepreneur Club (eClub) and regularly attended networking events, workshops and presentations. Through these activities, I established connections with local entrepreneurs and industry specialists. In July 2013, I participated in UOW Pitch Competition to present my idea on online shopping and obtained the finalist certificate. In addition to maintaining regular contact with local business, I developed collaborations with IT companies in China and US to commercialize my research work. Through these activities, I have been deeply impressed by the enthusiasm of industries on innovations and novel techniques. Also, I concretely realize the vital role of academic research in this regard. 

    In particular, I extended my research work to discover, protect and disseminate the culture of local community. Supported by a 2016 UOW community engagement grant titled “Retrieving Lost Community Stories: Linking Regional Archival Photo Collections using Advanced Visual Technologies,” I worked with UOW library, Illawarra Museum and Wollongong City Libraries to link their archival photo collections to share information. Also, my work enables community members to unprecedentedly query these collections with photos from their old family albums to discover lost stories. In doing so, my research work well supports the way that community connects with local history, by innovating community’s access to digital archival photo material. A demonstration website is being built to show the local community all the functions.

Full Name


  • Lei Wang

Mailing Address


  • Building 3 Room 219

    School of SCIT, University of Wollongong

    Wollongong

    NSW

    2522

    Australia

Web Of Science Researcher Id


  • D-9079-2013

Geographic Focus