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Ruokai Yin
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UGEMM: Unary computing architecture for GEMM applications
D Wu, J Li, R Yin, H Hsiao, Y Kim, J San Miguel
International Symposium on Computer Architecture (ISCA) 2020, 377-390, 2020
432020
Exploring lottery ticket hypothesis in spiking neural networks
Y Kim, Y Li, H Park, Y Venkatesha, R Yin, P Panda
European Conference on Computer Vision (ECCV) 2022, 102-120, 2022
38*2022
SATA: Sparsity-Aware Training Accelerator for Spiking Neural Networks
R Yin, A Moitra, A Bhattacharjee, Y Kim, P Panda
IEEE transactions on computer-aided design of integrated circuits and …, 2022
302022
In-stream correlation-based division and bit-inserting square root in stochastic computing
D Wu, R Yin, J San Miguel
IEEE Design & Test 38 (6), 53-59, 2021
92021
MINT: Multiplier-less Integer Quantization for Energy Efficient Spiking Neural Networks
R Yin, Y Li, A Moitra, P Panda
Asia and South Pacific Design Automation Conference (ASPDAC) 2024, 830 - 835, 2024
8*2024
Workload-balanced pruning for sparse spiking neural networks
R Yin, Y Kim, Y Li, A Moitra, N Satpute, A Hambitzer, P Panda
arXiv preprint arXiv:2302.06746, 2023
82023
uGEMM: Unary computing for GEMM applications
D Wu, J Li, R Yin, H Hsiao, Y Kim, J San Miguel
IEEE Micro 41 (3), 50-56, 2021
82021
Normalized stability: A cross-level design metric for early termination in stochastic computing
D Wu, R Yin, JS Miguel
Asia and South Pacific Design Automation Conference (ASPDAC) 2021, 254-259, 2021
82021
Efficient human activity recognition with spatio-temporal spiking neural networks
Y Li, R Yin, Y Kim, P Panda
Frontiers in Neuroscience 17, 1233037, 2023
6*2023
Sharing Leaky-Integrate-and-Fire Neurons for Memory-Efficient Spiking Neural Networks
Y Kim, Y Li, A Moitra, R Yin, P Panda
Frontiers in Neuroscience, 2023
42023
TT-SNN: Tensor Train Decomposition for Efficient Spiking Neural Network Training
D Lee, R Yin, Y Kim, A Moitra, Y Li, P Panda
arXiv preprint arXiv:2401.08001, 2024
12024
Are SNNs Truly Energy-efficient? A Hardware Perspective
A Bhattacharjee*, R Yin*, A Moitra*, P Panda
arXiv preprint arXiv:2309.03388, 2023
12023
Rethinking skip connections in Spiking Neural Networks with Time-To-First-Spike coding
Y Kim, A Kahana, R Yin, Y Li, P Stinis, GE Karniadakis, P Panda
Frontiers in Neuroscience 18, 1346805, 2024
2024
Energy-efficient Hardware Design for Spiking Neural Networks
A Moitra, R Yin, P Panda
2023 57th Asilomar Conference on Signals, Systems, and Computers, 543-544, 2023
2023
Hardware Accelerators for Spiking Neural Networks for Energy-Efficient Edge Computing
A Moitra, R Yin, P Panda
Proceedings of the Great Lakes Symposium on VLSI 2023, 137-138, 2023
2023
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