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0 · ‪Yingyan (Celine) Lin‬
1 · Yingyan Celine Lin
2 · Yingyan (Celine) Lin
3 · Team
4 · Research
5 · Professor Yingyan (Celine) Lin and the team received $45M from
6 · Lin’s Group’s Work Nominated for Best Paper Candidate at
7 · EIC @ GaTech

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Associate Professor. [email protected]. https://eiclab.scs.gatech.edu/ Research Areas: Efficient machine learning through cross-layer innovations. Biography. Yingyan (Celine) Lin is .Associate Professor. Yingyan (Celine) Lin is currently an Associate Professor in the .

The EIC lab in the School of Computer Science at Georgia Tech focuses on .

PI Yingyan (Celine) Lin’s research group has been honored with a Best Paper .A multi-institutional team of researchers that includes Professor Yingyan (Celine) Lin .We use a top-down approach for AI algorithm development and a bottom-up .

Yingyan (Celine) Lin. Other names. Associate Professor, Georgia Institute of Technology. Verified email at gatech.edu - Homepage. Efficient AI algorithms Deep learning accelerators Green AI. .

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 .

Yingyan (Celine) Lin is currently an Associate Professor in the School of Computer Science at the Georgia Institute of Technology.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 .

PI Yingyan (Celine) Lin’s research group has been honored with a Best Paper Candidate nomination at MICRO 2024 for their work titled “An Integrated and Synergistic . A multi-institutional team of researchers that includes Professor Yingyan (Celine) Lin received million from the Advanced Research Projects Agency for Health (ARPA-H) to .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 .We use a top-down approach for AI algorithm development and a bottom-up approach for hardware accelerators, aiming to bridge these perspectives with automated co-exploration and co-search techniques. Our goal is to maximize .

‪Yingyan (Celine) Lin‬

Associate Professor. [email protected]. https://eiclab.scs.gatech.edu/ Research Areas: Efficient machine learning through cross-layer innovations. Biography. Yingyan (Celine) Lin is currently an Associate Professor in the School of Computer .

Yingyan Celine Lin

Associate Professor. 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 .Yingyan (Celine) Lin. Other names. Associate Professor, Georgia Institute of Technology. Verified email at gatech.edu - Homepage. Efficient AI algorithms Deep learning accelerators Green AI. Title. Sort. Sort by citations Sort by year Sort by title.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.

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.

PI Yingyan (Celine) Lin’s research group has been honored with a Best Paper Candidate nomination at MICRO 2024 for their work titled “An Integrated and Synergistic Acceleration for Instant 3D Reconstruction and Real-Time Rendering.” The paper, co-authored by Sixu Li, Yang Zhao, Chaojian Li, Bowei Guo, Jingqun Zhang, Wenbo Zhu, Zhifan Ye . A multi-institutional team of researchers that includes Professor Yingyan (Celine) Lin received million from the Advanced Research Projects Agency for Health (ARPA-H) to develop a surgically implantable device for cancer treatment that could cut US cancer deaths in .

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.

We use a top-down approach for AI algorithm development and a bottom-up approach for hardware accelerators, aiming to bridge these perspectives with automated co-exploration and co-search techniques. Our goal is to maximize AI acceleration .Associate Professor. [email protected]. https://eiclab.scs.gatech.edu/ Research Areas: Efficient machine learning through cross-layer innovations. Biography. Yingyan (Celine) Lin is currently an Associate Professor in the School of Computer .Associate Professor. 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 .

Yingyan (Celine) Lin. Other names. Associate Professor, Georgia Institute of Technology. Verified email at gatech.edu - Homepage. Efficient AI algorithms Deep learning accelerators Green AI. Title. Sort. Sort by citations Sort by year Sort by title.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

Yingyan (Celine) Lin is currently an Associate Professor in the School of Computer Science at the Georgia Institute of Technology.

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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. PI Yingyan (Celine) Lin’s research group has been honored with a Best Paper Candidate nomination at MICRO 2024 for their work titled “An Integrated and Synergistic Acceleration for Instant 3D Reconstruction and Real-Time Rendering.” The paper, co-authored by Sixu Li, Yang Zhao, Chaojian Li, Bowei Guo, Jingqun Zhang, Wenbo Zhu, Zhifan Ye .

A multi-institutional team of researchers that includes Professor Yingyan (Celine) Lin received million from the Advanced Research Projects Agency for Health (ARPA-H) to develop a surgically implantable device for cancer treatment that could cut US cancer deaths in .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.

Yingyan (Celine) Lin

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