YOU Yang
NUS Presidential Young Professor- PhD in Computer Science, UC Berkeley
Yang You is a Presidential Young Professor at National University of Singapore. He is on an early career track at NUS for exceptional young academic talents with great potential to excel. He received his PhD in Computer Science from UC Berkeley. His advisor is Prof. James Demmel, who was the former chair of the Computer Science Division and EECS Department. Yang You's research interests include Parallel/Distributed Algorithms, High Performance Computing, and Machine Learning. The focus of his current research is scaling up deep neural networks training on distributed systems or supercomputers. In 2017, his team broke the world record of ImageNet training speed, which was covered by the technology media like NSF, ScienceDaily, Science NewsLine, and i-programmer. In 2019, his team broke the world record of BERT training speed. The BERT training techniques have been used by many tech giants like Google, Microsoft, and NVIDIA. Yang You’s LARS and LAMB optimizers are available in industry benchmark MLPerf. He is a winner of IPDPS 2015 Best Paper Award (0.8%), ICPP 2018 Best Paper Award (0.3%) and ACM/IEEE George Michael HPC Fellowship. Yang You is a Siebel Scholar and a winner of Lotfi A. Zadeh Prize. Yang You was nominated by UC Berkeley for ACM Doctoral Dissertation Award (2 out of 81 Berkeley EECS PhD students graduated in 2020). He also made Forbes 30 Under 30 Asia list (2021) for young leaders. For more information, please check his lab’s homepage at https://ai.comp.nus.edu.sg/
RESEARCH AREAS
RESEARCH INTERESTS
Machine Learning; High-Performance Computing; Parallel/Distributed Systems
RESEARCH PROJECTS
Advances in Self-Supervised Learning from Data and Pretext Task
This project advances self-supervised learning in AI, with a focus on learning from unlabeled data without human intervention. It aims to enhance AI’s understanding of visual data by improving contrastive learning, refining pretext tasks, and addressing challenges in computer vision.
RESEARCH GROUPS
TEACHING INNOVATIONS
SELECTED PUBLICATIONS
AWARDS & HONOURS
Lotfi A. Zadeh Prize (This award recognizes a Berkeley graduating PhD student who has made outstanding contributions to soft computing and its applications)
Best Paper Award of ICPP (1 out of 313 submissions: 0.3%, plenary presentation)
ACM/IEEE George Michael Memorial HPC Fellowship: the only PhD fellowship on ACM website
Best Paper Award of IPDPS (4 out of 496 submissions: 0.8%, plenary presentation)
Siebel Scholar, 85 top students from world’s leading universities
Best Paper Candidate at ICDM (International Conference on Data Mining)
Best Student Paper Finalist of SC (ACM/IEEE Supercomputing Conference)
Outstanding Graduate of Tsinghua University (ranked 1st of 134 students, top 3 got the awards)
National Scholarships of China
Top Reviewers of International Conference on Machine Learning (ICML 2020)
ACM Doctoral Dissertation Award Nomination by UC Berkeley (2 out of 81 Berkeley EECS PhD students graduated in 2020)
Forbes 30 Under 30 Asia list (2021)
MODULES TAUGHT