Jump to content

Dacheng Tao

From Wikipedia, the free encyclopedia

Dacheng Tao FAA is an engineer from the University of Sydney, Australia. He was named a Fellow of the Institute of Electrical and Electronics Engineers (IEEE) in 2015[1] for his contributions to pattern recognition and visual analytics. He was awarded an Australian Laureate Fellowship in 2017.[2] In 2018, Tao was also elected a Fellow of the Australian Academy of Science (FAA) for his "ground-breaking contributions in artificial intelligence, computer vision image processing and machine learning.[3] He was elected as an ACM Fellow in 2019 "for contributions to representation learning and its applications".[4] He was selected to the Global Young Academy[citation needed].

Selected works

  • Tao, Dacheng; Xu, Dong; Li, Xuelong, (2009), Semantic mining technologies for multimedia databases, Information Science Reference, ISBN 978-1-60566-188-9{{citation}}: CS1 maint: extra punctuation (link) CS1 maint: multiple names: authors list (link)
  • Yu, Jun; Tao, Dacheng, 1978-; Institute of Electrical and Electronics Engineers; IEEE Systems, Man, and Cybernetics Society (2013), Modern machine learning techniques and their applications in cartoon animation research (First ed.), Hoboken, New Jersey John Wiley & Sons Inc, ISBN 978-1-118-11514-5{{citation}}: CS1 maint: multiple names: authors list (link) CS1 maint: numeric names: authors list (link)

References

  1. ^ "2015 elevated fellow" (PDF). IEEE Fellows Directory.
  2. ^ "Fellowships and training centres accelerate research capacity". University of Sydney. 5 June 2017. Retrieved 21 January 2018.
  3. ^ "Professor Dacheng Tao". www.science.org.au. Retrieved 16 June 2018.
  4. ^ 2019 ACM Fellows Recognized for Far-Reaching Accomplishments that Define the Digital Age, Association for Computing Machinery, retrieved 11 December 2019