基本信息
views: 172
![](https://originalfileserver.aminer.cn/sys/aminer/icon/show-trajectory.png)
Bio
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 Interests
Papers共 175 篇Author StatisticsCo-AuthorSimilar Experts
By YearBy Citation主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
Tomoyuki Kagaya, Thong Jing Yuan,Yuxuan Lou,Jayashree Karlekar,Sugiri Pranata, Akira Kinose, Koki Oguri, Felix Wick,Yang You
CoRR (2024)
Cited0Views0EIBibtex
0
0
MLSys (2024)
Cited0Views0EIBibtex
0
0
CoRR (2024)
Cited0Views0EIBibtex
0
0
ICLR 2024 (2024)
Cited0Views0Bibtex
0
0
CoRR (2024)
Cited0Views0EIBibtex
0
0
CoRR (2024)
Cited0Views0EIBibtex
0
0
CoRR (2024)
Cited0Views0Bibtex
0
0
CoRR (2024)
Cited0Views0EIBibtex
0
0
Load More
Author Statistics
Co-Author
Co-Institution
D-Core
- 合作者
- 学生
- 导师
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn