
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