Ruokai Yin

33 papers A* 4A 2B 1Misc 2Journal 21Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
DiffAxE: Diffusion-driven Hardware Accelerator Generation and Design Space Exploration.
CoRR
Arkapravo Ghosh, Abhishek Moitra, Abhiroop Bhattacharjee, Ruokai Yin, Priyadarshini Panda
2025 J jnl
DuoGPT: Training-free Dual Sparsity through Activation-aware Pruning in LLMs.
CoRR
Ruokai Yin, Yuhang Li, Donghyun Lee, Priyadarshini Panda
2025 A* conf
GPTAQ: Efficient Finetuning-Free Quantization for Asymmetric Calibration.
ICML
Yuhang Li, Ruokai Yin, Donghyun Lee, Shiting Xiao, Priyadarshini Panda
2025 J jnl
GPTQv2: Efficient Finetuning-Free Quantization for Asymmetric Calibration.
CoRR
Yuhang Li, Ruokai Yin, Donghyun Lee, Shiting Xiao, Priyadarshini Panda
2025 J jnl
Learning to Shard: RL for Co-optimizing the Parallelism Degrees and Per-operator Sharding Dimensions in Distributed LLM Inference.
CoRR
Ruokai Yin, Sattwik Deb Mishra, Xuan Zuo, Hokchhay Tann, Preyas Shah, Apala Guha
2025 J jnl
MD-SNN: Membrane Potential-aware Distillation on Quantized Spiking Neural Network.
CoRR
Donghyun Lee, Abhishek Moitra, Youngeun Kim, Ruokai Yin, Priyadarshini Panda
2025 J jnl
Memba: Membrane-driven Parameter-Efficient Fine-Tuning for Mamba.
CoRR
Donghyun Lee, Yuhang Li, Ruokai Yin, Shiting Xiao, Priyadarshini Panda
2025 A* conf
PacQ: A SIMT Microarchitecture for Efficient Dataflow in Hyper-asymmetric GEMMs.
DAC
Ruokai Yin, Yuhang Li, Priyadarshini Panda
2025 J jnl
PacQ: A SIMT Microarchitecture for Efficient Dataflow in Hyper-asymmetric GEMMs.
CoRR
Ruokai Yin, Yuhang Li, Priyadarshini Panda
2025 A conf
SITRA: Exploiting Temporal Silence in Spiking Transformers for Fast & Energy-efficient Inference.
ISLPED
Abhiroop Bhattacharjee, Abhishek Moitra, Ruokai Yin, Priyadarshini Panda
2024 Misc conf
Are SNNs Truly Energy-efficient? - A Hardware Perspective.
ICASSP
Abhiroop Bhattacharjee, Ruokai Yin, Abhishek Moitra, Priyadarshini Panda
2024 J jnl
Do we really need a large number of visual prompts?
Neural Networks
Youngeun Kim, Yuhang Li, Abhishek Moitra, Ruokai Yin, Priyadarshini Panda
2024 A* conf
LoAS: Fully Temporal-Parallel Dataflow for Dual-Sparse Spiking Neural Networks.
MICRO
Ruokai Yin, Youngeun Kim, Di Wu, Priyadarshini Panda
2024 J jnl
LoAS: Fully Temporal-Parallel Datatflow for Dual-Sparse Spiking Neural Networks.
CoRR
Ruokai Yin, Youngeun Kim, Di Wu, Priyadarshini Panda
2024 B conf
MINT: Multiplier-less INTeger Quantization for Energy Efficient Spiking Neural Networks.
ASPDAC
Ruokai Yin, Yuhang Li, Abhishek Moitra, Priyadarshini Panda
2024 A conf
TT-SNN: Tensor Train Decomposition for Efficient Spiking Neural Network Training.
DATE
Donghyun Lee, Ruokai Yin, Youngeun Kim, Abhishek Moitra, Yuhang Li, Priyadarshini Panda
2024 J jnl
TT-SNN: Tensor Train Decomposition for Efficient Spiking Neural Network Training.
CoRR
Donghyun Lee, Ruokai Yin, Youngeun Kim, Abhishek Moitra, Yuhang Li, Priyadarshini Panda
2024 J jnl
Workload-Balanced Pruning for Sparse Spiking Neural Networks.
IEEE Trans. Emerg. Top. Comput. Intell.
Ruokai Yin, Youngeun Kim, Yuhang Li, Abhishek Moitra, Nitin Satpute, Anna Hambitzer, Priyadarshini Panda
2023 J jnl
Are SNNs Truly Energy-efficient? - A Hardware Perspective.
CoRR
Abhiroop Bhattacharjee, Ruokai Yin, Abhishek Moitra, Priyadarshini Panda
2023 Misc conf
Energy-efficient Hardware Design for Spiking Neural Networks (Extended Abstract).
ACSSC
Abhishek Moitra, Ruokai Yin, Priyadarshini Panda
2023 — conf
Hardware Accelerators for Spiking Neural Networks for Energy-Efficient Edge Computing.
ACM Great Lakes Symposium on VLSI
Abhishek Moitra, Ruokai Yin, Priyadarshini Panda
2023 J jnl
MINT: Multiplier-less Integer Quantization for Spiking Neural Networks.
CoRR
Ruokai Yin, Yuhang Li, Abhishek Moitra, Priyadarshini Panda
2023 J jnl
SATA: Sparsity-Aware Training Accelerator for Spiking Neural Networks.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Ruokai Yin, Abhishek Moitra, Abhiroop Bhattacharjee, Youngeun Kim, Priyadarshini Panda
2023 J jnl
Sharing Leaky-Integrate-and-Fire Neurons for Memory-Efficient Spiking Neural Networks.
CoRR
Youngeun Kim, Yuhang Li, Abhishek Moitra, Ruokai Yin, Priyadarshini Panda
2023 J jnl
Workload-Balanced Pruning for Sparse Spiking Neural Networks.
CoRR
Ruokai Yin, Youngeun Kim, Yuhang Li, Abhishek Moitra, Nitin Satpute, Anna Hambitzer, Priyadarshini Panda
2022 — conf
Exploring Lottery Ticket Hypothesis in Spiking Neural Networks.
ECCV (12)
Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Ruokai Yin, Priyadarshini Panda
2022 J jnl
Exploring Lottery Ticket Hypothesis in Spiking Neural Networks.
CoRR
Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Ruokai Yin, Priyadarshini Panda
2022 J jnl
SATA: Sparsity-Aware Training Accelerator for Spiking Neural Networks.
CoRR
Ruokai Yin, Abhishek Moitra, Abhiroop Bhattacharjee, Youngeun Kim, Priyadarshini Panda
2022 J jnl
Wearable-based Human Activity Recognition with Spatio-Temporal Spiking Neural Networks.
CoRR
Yuhang Li, Ruokai Yin, Hyoungseob Park, Youngeun Kim, Priyadarshini Panda
2021 J jnl
In-Stream Correlation-Based Division and Bit-Inserting Square Root in Stochastic Computing.
IEEE Des. Test
Di Wu, Ruokai Yin, Joshua San Miguel
2021 — conf
Normalized Stability: A Cross-Level Design Metric for Early Termination in Stochastic Computing.
ASP-DAC
Di Wu, Ruokai Yin, Joshua San Miguel
2021 J jnl
uGEMM: Unary Computing for GEMM Applications.
IEEE Micro
Di Wu, Jingjie Li, Ruokai Yin, Hsuan Hsiao, Younghyun Kim, Joshua San Miguel
2020 A* conf
UGEMM: Unary Computing Architecture for GEMM Applications.
ISCA
Di Wu, Jingjie Li, Ruokai Yin, Hsuan Hsiao, Younghyun Kim, Joshua San Miguel