Ruokai Yin

Abhiroop Bhattacharjee

Youngeun Kim

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., June, 2023

Are SNNs Truly Energy-efficient? - A Hardware Perspective.

[BibT_eX]

[DOI]

Abhiroop Bhattacharjee

CoRR, 2023

Sharing Leaky-Integrate-and-Fire Neurons for Memory-Efficient Spiking Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2023

MINT: Multiplier-less Integer Quantization for Spiking Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2023

Workload-Balanced Pruning for Sparse Spiking Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2023

Hardware Accelerators for Spiking Neural Networks for Energy-Efficient Edge Computing.

[BibT_eX]

[DOI]

Proceedings of the Great Lakes Symposium on VLSI 2023, 2023

Energy-efficient Hardware Design for Spiking Neural Networks (Extended Abstract).

[BibT_eX]

[DOI]

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022

Wearable-based Human Activity Recognition with Spatio-Temporal Spiking Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2022

Exploring Lottery Ticket Hypothesis in Spiking Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

uGEMM: Unary Computing for GEMM Applications.

[BibT_eX]

[DOI]

IEEE Micro, 2021

In-Stream Correlation-Based Division and Bit-Inserting Square Root in Stochastic Computing.

[BibT_eX]

[DOI]

Di Wu

Joshua San Miguel

IEEE Des. Test, 2021

Normalized Stability: A Cross-Level Design Metric for Early Termination in Stochastic Computing.

[BibT_eX]

[DOI]

Di Wu