Age, Biography and Wiki
Draft:Yang You (computer scientist) was born on 19 April, 1991, is a Computer scientist and professor. Discover Draft:Yang You (computer scientist)'s Biography, Age, Height, Physical Stats, Dating/Affairs, Family and career updates. Learn How rich is he in this year and how he spends money? Also learn how he earned most of networth at the age of 33 years old?
| Popular As |
N/A |
| Occupation |
N/A |
| Age |
33 years old |
| Zodiac Sign |
Aries |
| Born |
19 April 1991 |
| Birthday |
19 April |
| Birthplace |
N/A |
| Nationality |
|
We recommend you to check the complete list of Famous People born on 19 April.
He is a member of famous Computer with the age 33 years old group.
Draft:Yang You (computer scientist) Height, Weight & Measurements
At 33 years old, Draft:Yang You (computer scientist) height not available right now. We will update Draft:Yang You (computer scientist)'s Height, weight, Body Measurements, Eye Color, Hair Color, Shoe & Dress size soon as possible.
| Physical Status |
| Height |
Not Available |
| Weight |
Not Available |
| Body Measurements |
Not Available |
| Eye Color |
Not Available |
| Hair Color |
Not Available |
Dating & Relationship status
He is currently single. He is not dating anyone. We don't have much information about He's past relationship and any previous engaged. According to our Database, He has no children.
| Family |
| Parents |
Not Available |
| Wife |
Not Available |
| Sibling |
Not Available |
| Children |
Not Available |
Draft:Yang You (computer scientist) Net Worth
His net worth has been growing significantly in 2023-2024. So, how much is Draft:Yang You (computer scientist) worth at the age of 33 years old? Draft:Yang You (computer scientist)’s income source is mostly from being a successful Computer. He is from . We have estimated Draft:Yang You (computer scientist)'s net worth, money, salary, income, and assets.
| Net Worth in 2024 |
$1 Million - $5 Million |
| Salary in 2024 |
Under Review |
| Net Worth in 2023 |
Pending |
| Salary in 2023 |
Under Review |
| House |
Not Available |
| Cars |
Not Available |
| Source of Income |
Computer |
Draft:Yang You (computer scientist) Social Network
| Instagram |
|
| Linkedin |
|
| Twitter |
|
| Facebook |
|
| Wikipedia |
|
| Imdb |
|
Timeline
Another work “CAME: Confidence-guided Adaptive Memory Efficient Optimization”, trying to increase the efficiency of the training process for large AI models like GPT, won the Outstanding Paper Award at the recent 61st Annual Meeting of the Association for Computational Linguistics (ACL).
Their unified deep learning system for large-scale parallel training, Colossal-AI, got 35,000 GitHub stars in 18 months.
It has been used by 100+ big enterprises globally including IBM, Oracle, HPE, Walmart, etc.
Yang You was born on April 19, 1991, and is a Presidential Young Professor at the National University of Singapore.
His work “CowClip: Reducing CTR Prediction Model Training Time from 12 hours to 10 minutes on 1 GPU”, focusing on exploring the use of large-batch training to accelerate the training process, won the distinguished paper award on the 37th Association for the Advancement of Artificial Intelligence Conference (AAAI-23).
Yang You earned his master's degree in Computer Science from Tsinghua University in 2015, and his Ph.D. from the University of California, Berkeley in 2020 under the guidance of James Demmel.
He joined the National University of Singapore as an Assistant Professor in Computer Science and founded a company called HPC-AI Tech, which focuses on combining high-performance computing (HPC) technologies with artificial intelligence (AI) to enhance AI productivity.
Yang is recognized for his contributions in large scale optimization.
Yang You is a Siebel Scholar and received the ACM/IEEE-CS George Michael Memorial HPC Fellowships in 2017.
During his doctoral period, he introduced the LARS algorithm in 2018, which achieved a new world record for ImageNet training, reducing the training time for AlexNet on ImageNet to just 24 minutes.
The following year, he further improved the algorithm by introducing the LAMB algorithm to address its limitations on attention models such as BERT, significantly reducing the training time for BERT from 3 days to 76 minutes.
After that, he and his research team focused on work in the area of machine learning, high performance computing, machine learning systems, parallel and distributed systems and AI applications.
He was awarded the Lotfi A. Zadeh Prize in 2020 for his notable contributions to soft computing and its applications.
He was recognized in Forbes' 30 under 30 Asia list in 2021 and received the IEEE-CS TCHPC Early Career Award.
He also received the “Singapore Maritime R&D Grant Award on Maritime AI” in 2022, been recognized as “Top 100 Most Influential Chinese by Forbes China” in 2023, and elected to the “Chinese Intelligent Computing Innovator in 2023” by MIT Technology Review.
