Two Papers Accepted in DATE 2023

Two papers on “Accurate yet Efficient Stochastic Computing Neural Acceleration with High Precision Residual Fusion” and “READ{:} Reliability-Enhanced Accelerator Dataflow Optimization using Critical Input Pattern Reduction” are accpeted by DATE'2023.

Last updated on Nov 29, 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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