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Michael SHIEH

Assistant Professor

  • PhD, Carnegie Mellon University, Machine Learning Department, 2020
  • Master, Carnegie Mellon University, Language Technologies Institute, 2018
  • Bachelor, Shanghai Jiao Tong University, ACM Class, 2016

Michael Qizhe Shieh is an assistant professor in the Department of Computer Science, National University of Singapore. He obtained his Master's and PhD from Carnegie Mellon University and his bachelors' degree from Shanghai Jiao Tong University, ACM Class. He conducted research at Google DeepMind (previously Google Brain) for two years. His research interests include Large Language Models, Deep Learning and Natural Language Processing. He worked on semi-supervised learning and published Noisy Student and UDA. He also contributed to the RACE benchmark, the first large-scale reading comprehension benchmark with its emphasis on human-level reasoning problems. He has been an area chair for machine learning and AI conferences such as the Neural Information Processing Systems (NeurIPS), the International Conference on Machine Learning (ICML) and International Conference on Learning Representations (ICLR).

RESEARCH AREAS

Artificial Intelligence
  • Machine Learning
  • Natural Language Processing

RESEARCH INTERESTS

RESEARCH PROJECTS

RESEARCH GROUPS

TEACHING INNOVATIONS

SELECTED PUBLICATIONS

AWARDS & HONOURS

COURSES TAUGHT

CS5260
Neural Networks and Deep Learning II
CS6280
Topics in Computer Science: Deep Learning with Language Applications