Mr Song Yang

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Doctoral Candidate - Doctor of Philosophy

Biography

2019-Present    PhD Candidate, The University of Auckland,  New Zealand

2019                Research Assistant, The University of Auckland, New Zealand

2018                Research Intern, The National Institute for Health Innovation, New Zealand

2017-2018       MSc, University of Auckland, New Zealand

2012-2016       BEng, Nanjing University, China

 

Research | Current

  • Machine Learning
  • Graph Neural Networks
  • Convolutional Neural Networks
  • Spatio-temporal Data Mining
  • AI in Healthcare

Distinctions/Honours

2019 Doctoral Scholarship, University of Auckland, New Zealand

2018 Michael Lennon Award for Excellence in Information Technology, University of Auckland, New Zealand

2017 International Student Scholarship, University of Auckland, New Zealand

2016 Outstanding Graduates Award, Nanjing University, China

2016 Merit Student, Jiangsu Provincial Department of Education, China

2015 Xie Xin Scholarship, Nanjing University, China

2014 National Scholarship, Ministry of Education of China

2013 Kwang-Hua Scholarship, Nanjing University, China

Selected publications and creative works (Research Outputs)

As of 29 October 2020 there will be no automatic updating of 'selected publications and creative works' from Research Outputs. Please continue to keep your Research Outputs profile up to date.
  • Vaghefi, E., Yang, S., Xie, L., Hill, S., Schmiedel, O., Murphy, R., & Squirrell, D. (2020). THEIA™ development, and testing of artificial intelligence-based primary triage of diabetic retinopathy screening images in New Zealand. Diabetic medicine : a journal of the British Diabetic Association10.1111/dme.14386
    Other University of Auckland co-authors: Ehsan Vaghefi, Rinki Murphy
  • Vaghefi, E., Yang, S., Hill, S., Humphrey, G., Walker, N., & Squirrell, D. (2019). Detection of smoking status from retinal images; a Convolutional Neural Network study. Scientific Reports, 9 (1).10.1038/s41598-019-43670-0
    Other University of Auckland co-authors: Ehsan Vaghefi, Natalie Walker, Gayl Humphrey
  • Xie, L., Yang, S., Squirrell, D., & Vaghefi, E. (2019). Towards implementation of AI in New Zealand national screening program: Cloud-based, Robust, and Bespoke. 10.1101/823260
    Other University of Auckland co-authors: Ehsan Vaghefi

Contact details

Primary office location

M&HS BUILDING 503 - Bldg 503
Level 3, Room 351
85 PARK RD
NZL
AUCKLAND 1023
New Zealand

Web links