Efficient AI Computing,
Transforming the Future.

Ji Lin

Ph.D

(Graduated)

His research focuses on efficient deep learning computing, systems for ML and recently, accelerating large language models (LLMs). Ji is pioneering the research in the field of TinyML. His research has received over 6,500 citations on Google Scholar and over 7,000 stars on GitHub. Ji is an NVIDIA Graduate Fellowship Finalist in 2020, and Qualcomm Innovation Fellowship recipient in 2022.

Honors and Fellowships

Ji Lin
received
the 2022 Qualcomm Innovation Fellowship
.
Ji Lin
received
the 2020 Nvidia Graduate Fellowship Finalist
.

Competition Awards

No items found.

Awards

No items found.

Open source projects with over 1K GitHub stars

Projects

Blog Posts

Talks

Aug 2023
Ji Lin
presented "
SmoothQuant, AWQ, TinyChat
" at
UC Berkeley SkyLab
.
VideoSlidesMedia
Jun 2023
Ji Lin
presented "
SmoothQuant, AWQ
" at
NVIDIA
.
VideoSlidesMedia