activity
20222026
most citedTowards Efficient In-memory Computing Hardware for Quantized Neural Networks: State-of-the-art, Open Challenges and Perspectives

26 citations · 26 across the 3 of their papers we have counts for

collaborators
Showing cs.ARShow all

2 papers · 1 filter

cs.AR2026

Sparsity-Aware Streaming SNN Accelerator with Output-Channel Dataflow for Automatic Modulation Classification

Kuilian Yang, Li Zhang, Ahmed M. Eltawil +1

The rapid advancement of wireless communication technologies, including 5G, emerging 6G networks, and the large-scale deployment of the Internet of Things (IoT), has intensified th…

cs.AR2023★ 26 cited

Towards Efficient In-memory Computing Hardware for Quantized Neural Networks: State-of-the-art, Open Challenges and Perspectives

Olga Krestinskaya, Li Zhang, Khaled Nabil Salama

The amount of data processed in the cloud, the development of Internet-of-Things (IoT) applications, and growing data privacy concerns force the transition from cloud-based to edge…