Ruokai Yin

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 22

Top Topics

Activity Recognition

Extended Abstract

Spiking Neural Networks

Biologically Plausible

Top Venues

Publications

Youngeun Kim, Yuhang Li, Abhishek Moitra, Ruokai Yin, Priyadarshini Panda
Do we really need a large number of visual prompts? Neural Networks 177 (2024)
Ruokai Yin, Yuhang Li, Abhishek Moitra, Priyadarshini Panda
MINT: Multiplier-less INTeger Quantization for Energy Efficient Spiking Neural Networks. ASPDAC (2024)
Abhiroop Bhattacharjee, Ruokai Yin, Abhishek Moitra, Priyadarshini Panda
Are SNNs Truly Energy-efficient? - A Hardware Perspective. ICASSP (2024)
Ruokai Yin, Youngeun Kim, Di Wu, Priyadarshini Panda
LoAS: Fully Temporal-Parallel Datatflow for Dual-Sparse Spiking Neural Networks. CoRR (2024)
Donghyun Lee, Ruokai Yin, Youngeun Kim, Abhishek Moitra, Yuhang Li, Priyadarshini Panda
TT-SNN: Tensor Train Decomposition for Efficient Spiking Neural Network Training. CoRR (2024)
Donghyun Lee, Ruokai Yin, Youngeun Kim, Abhishek Moitra, Yuhang Li, Priyadarshini Panda
TT-SNN: Tensor Train Decomposition for Efficient Spiking Neural Network Training. DATE (2024)
Ruokai Yin, Youngeun Kim, Yuhang Li, Abhishek Moitra, Nitin Satpute, Anna Hambitzer, Priyadarshini Panda
Workload-Balanced Pruning for Sparse Spiking Neural Networks. IEEE Trans. Emerg. Top. Comput. Intell. 8 (4) (2024)
Ruokai Yin, Yuhang Li, Abhishek Moitra, Priyadarshini Panda
MINT: Multiplier-less Integer Quantization for Spiking Neural Networks. CoRR (2023)
Abhiroop Bhattacharjee, Ruokai Yin, Abhishek Moitra, Priyadarshini Panda
Are SNNs Truly Energy-efficient? - A Hardware Perspective. CoRR (2023)
Ruokai Yin, Abhishek Moitra, Abhiroop Bhattacharjee, Youngeun Kim, Priyadarshini Panda
SATA: Sparsity-Aware Training Accelerator for Spiking Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (6) (2023)
Abhishek Moitra, Ruokai Yin, Priyadarshini Panda
Hardware Accelerators for Spiking Neural Networks for Energy-Efficient Edge Computing. ACM Great Lakes Symposium on VLSI (2023)
Abhishek Moitra, Ruokai Yin, Priyadarshini Panda
Energy-efficient Hardware Design for Spiking Neural Networks (Extended Abstract). ACSSC (2023)
Ruokai Yin, Youngeun Kim, Yuhang Li, Abhishek Moitra, Nitin Satpute, Anna Hambitzer, Priyadarshini Panda
Workload-Balanced Pruning for Sparse Spiking Neural Networks. CoRR (2023)
Youngeun Kim, Yuhang Li, Abhishek Moitra, Ruokai Yin, Priyadarshini Panda
Sharing Leaky-Integrate-and-Fire Neurons for Memory-Efficient Spiking Neural Networks. CoRR (2023)
Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Ruokai Yin, Priyadarshini Panda
Exploring Lottery Ticket Hypothesis in Spiking Neural Networks. ECCV (12) (2022)
Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Ruokai Yin, Priyadarshini Panda
Exploring Lottery Ticket Hypothesis in Spiking Neural Networks. CoRR (2022)
Ruokai Yin, Abhishek Moitra, Abhiroop Bhattacharjee, Youngeun Kim, Priyadarshini Panda
SATA: Sparsity-Aware Training Accelerator for Spiking Neural Networks. CoRR (2022)
Yuhang Li, Ruokai Yin, Hyoungseob Park, Youngeun Kim, Priyadarshini Panda
Wearable-based Human Activity Recognition with Spatio-Temporal Spiking Neural Networks. CoRR (2022)
Di Wu, Ruokai Yin, Joshua San Miguel
In-Stream Correlation-Based Division and Bit-Inserting Square Root in Stochastic Computing. IEEE Des. Test 38 (6) (2021)
Di Wu, Ruokai Yin, Joshua San Miguel
Normalized Stability: A Cross-Level Design Metric for Early Termination in Stochastic Computing. ASP-DAC (2021)
Di Wu, Jingjie Li, Ruokai Yin, Hsuan Hsiao, Younghyun Kim, Joshua San Miguel
uGEMM: Unary Computing for GEMM Applications. IEEE Micro 41 (3) (2021)
Di Wu, Jingjie Li, Ruokai Yin, Hsuan Hsiao, Younghyun Kim, Joshua San Miguel
UGEMM: Unary Computing Architecture for GEMM Applications. ISCA (2020)