One Paper Accepted in ICML 2022

One paper on “DepthShrinker{:} A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks” is accepted by ICML'2022.

Last updated on May 19, 2022
Conference
Meng Li
Meng Li
Assistant Professor

I am currently a tenure-track assistant professor jointly affiliated with the Institute for Artificial Intelligence and School of Integrated Circuits in Peking University. My research interests focus on efficient and secure multi-modality AI acceleration algorithms and hardwares.

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