celine lin | celina lin pei fei celine lin Yingyan (Celine) Lin is currently an Associate Professor in the School of Computer Science at the Georgia Institute of Technology. She leads the Efficient and Intelligent Computing (EIC) Lab, which focuses on developing efficient machine learning systems via cross-layer innovations from algorithm to architecture down to chip design, aiming to .
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Yang (Katie) Zhao, Ph.D. student, ECE@Rice University, Jan. 2019 - Dec. 2022, Current Position: Assistant Professor@University of Minnesota, Twin Cities See moreArticles 1–20. Associate Professor, Georgia Institute of Technology - Cited by 3,195 - Efficient AI algorithms - Deep learning accelerators - Green AI.
Yingyan (Celine) Lin is an associate professor in the School of Computer Science at Georgia Tech, leading the Efficient and Intelligent Computing Lab. She works on developing efficient .Yingyan (Celine) Lin is currently an Associate Professor in the School of Computer Science, a member of the Machine Learning Center, and the co-director of the newly established Center for Advancing Responsible Computing (CARE) at the Georgia Institute of Technology.Articles 1–20. Associate Professor, Georgia Institute of Technology - Cited by 3,195 - Efficient AI algorithms - Deep learning accelerators - Green AI.Yingyan (Celine) Lin is currently an Associate Professor in the School of Computer Science at the Georgia Institute of Technology. She leads the Efficient and Intelligent Computing (EIC) Lab, which focuses on developing efficient machine learning systems via cross-layer innovations from algorithm to architecture down to chip design, aiming to .
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Yingyan (Celine) Lin is currently an Associate Professor in the School of Computer Science and the co-director of the newly established Center for Advancing Responsible Computing (CARE) at the.
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Yingyan (Celine) Lin is currently an Associate Professor in the School of Computer Science at the Georgia Institute of Technology. She leads the Efficient and Intelligent Computing (EIC) Lab, which focuses on developing efficient machine learning systems via cross-layer innovations from algorithm to architecture down to chip design, aiming to .The EIC lab in the School of Computer Science at Georgia Tech focuses on developing efficient machine learning (ML) techniques via cross-layer innovations, spanning from artificial intelligence (AI) algorithms to AI hardware accelerators and AI chip design, and aims to foster green AI and ubiquitous AI-powered intelligence.
Yingyan (Celine) Lin is an associate professor at the Georgia Institute of Technology, Atlanta, GA, 30318, USA. Her research focuses on efficient machine learning via cross-layer innovations from algorithm to hardware architecture down to chip design.Associate Professor. Yingyan (Celine) Lin is currently an Associate Professor in the School of Computer Science at the Georgia Institute of Technology. She leads the Efficient and Intelligent Computing (EIC) Lab, which focuses on developing efficient machine learning systems via cross-layer innovations from algorithm to architecture down to .Yingyan (Celine) Lin is currently an Associate Professor in the School of Computer Science at the Georgia Institute of Technology. She leads the Efficient and Intelligent Computing (EIC) Lab, which focuses on developing efficient machine learning systems via cross-layer innovations from algorithm to architecture down to chip design, aiming to .
Education & Career History. Associate Professor. Georgia Institute of Technology (gatech.edu) 2022 – Present. Assistant Professor. Rice University (rice.edu) 2017 – 2022.Yingyan (Celine) Lin is currently an Associate Professor in the School of Computer Science, a member of the Machine Learning Center, and the co-director of the newly established Center for Advancing Responsible Computing (CARE) at the Georgia Institute of Technology.Articles 1–20. Associate Professor, Georgia Institute of Technology - Cited by 3,195 - Efficient AI algorithms - Deep learning accelerators - Green AI.Yingyan (Celine) Lin is currently an Associate Professor in the School of Computer Science at the Georgia Institute of Technology. She leads the Efficient and Intelligent Computing (EIC) Lab, which focuses on developing efficient machine learning systems via cross-layer innovations from algorithm to architecture down to chip design, aiming to .
Yingyan (Celine) Lin is currently an Associate Professor in the School of Computer Science and the co-director of the newly established Center for Advancing Responsible Computing (CARE) at the.Yingyan (Celine) Lin is currently an Associate Professor in the School of Computer Science at the Georgia Institute of Technology. She leads the Efficient and Intelligent Computing (EIC) Lab, which focuses on developing efficient machine learning systems via cross-layer innovations from algorithm to architecture down to chip design, aiming to .The EIC lab in the School of Computer Science at Georgia Tech focuses on developing efficient machine learning (ML) techniques via cross-layer innovations, spanning from artificial intelligence (AI) algorithms to AI hardware accelerators and AI chip design, and aims to foster green AI and ubiquitous AI-powered intelligence.
Yingyan (Celine) Lin is an associate professor at the Georgia Institute of Technology, Atlanta, GA, 30318, USA. Her research focuses on efficient machine learning via cross-layer innovations from algorithm to hardware architecture down to chip design.Associate Professor. Yingyan (Celine) Lin is currently an Associate Professor in the School of Computer Science at the Georgia Institute of Technology. She leads the Efficient and Intelligent Computing (EIC) Lab, which focuses on developing efficient machine learning systems via cross-layer innovations from algorithm to architecture down to .
Yingyan (Celine) Lin is currently an Associate Professor in the School of Computer Science at the Georgia Institute of Technology. She leads the Efficient and Intelligent Computing (EIC) Lab, which focuses on developing efficient machine learning systems via cross-layer innovations from algorithm to architecture down to chip design, aiming to .
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