Three Papers Accepted in ICCAD 2023

Three papers on “Falcon{:} Accelerating Homomorphically Encrypted Convolutions for Efficient Private Mobile Network Inference”, “Memory-aware Scheduling for Complex Wired Networks with Iterative Graph Optimization”, and “READ{:} Reliability-Enhanced Accelerator Dataflow Optimization using Critical Input Pattern Reduction” are accpeted by ICCAD'2023.

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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