Yang You

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.

Companies

• Presidential Young Professor National University of Singapore (2021)
• Assistant Professor (tenure-track) National University of Singapore (2020 — 2021)
• Graduate Student Researcher University of California, Berkeley (2015 — 2020)
• Student Researcher Google (2019 — 2020)
• Graduate Technical Intern Intel Labs (2018 — 2018)
• Software Engineering Intern Google (2018 — 2018)
• Research Intern Microsoft (2018 — 2018)
• Deep Learning Intern NVIDIA (2017 — 2017)
• Programming Research Intern IBM (2016 — 2016)

Education

• Doctor of Philosophy (Ph.D.) University of California, Berkeley