Maohua Nie

Orcid: 0000-0003-3515-7764

According to our database1, Maohua Nie authored at least 3 papers between 2023 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
A Workload-Balance-Aware Accelerator Enabling Dense-to-Arbitrary-Sparse Neural Networks.
ACM Trans. Embed. Comput. Syst., July, 2025

HCSAs: Hybrid Computing Systolic Arrays for Accelerating Mamba Models with Unified State Space Buffers and Energy-Efficient Dataflow.
Proceedings of the Great Lakes Symposium on VLSI 2025, GLSVLSI 2025, New Orleans, LA, USA, 30 June 2025, 2025

2023
AutoMap: Automatic Mapping of Neural Networks to Deep Learning Accelerators for Edge Devices.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., September, 2023


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