Seongsik Park
Title
Cited by
Cited by
Year
Fast and efficient information transmission with burst spikes in deep spiking neural networks
S Park, S Kim, H Choe, S Yoon
Proceedings of the 56th Annual Design Automation Conference 2019, 53, 2019
242019
Spiking-YOLO: Spiking Neural Network for Energy-Efficient Object Detection
S Kim, S Park, B Na, S Yoon
AAAI, 2020
22*2020
State-based full predication for low power coarse-grained reconfigurable architecture
K Han, S Park, K Choi
2012 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2012
202012
Near-Data Processing for Differentiable Machine Learning Models
H Choe, S Lee, H Nam, S Park, S Kim, EY Chung, S Yoon
MSST, 2017
152017
Quantized memory-augmented neural networks
S Park, S Kim, S Lee, H Bae, S Yoon
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
132018
An approach to code compression for CGRA
S Park, K Choi
2011 3rd Asia symposium on quality electronic design (ASQED), 240-245, 2011
112011
Energy-Efficient Inference Accelerator for Memory-Augmented Neural Networks on an FPGA
S Park, J Jang, S Kim, S Yoon
2019 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2019
9*2019
T2FSNN: Deep Spiking Neural Networks with Time-to-first-spike Coding
S Park, S Kim, B Na, S Yoon
DAC, 2020
62020
An Efficient Approach to Boosting Performance of Deep Spiking Network Training
S Park, S Lee, H Nam, S Yoon
NIPS 2016 Workshop on Computing with Spikes, 2016
22016
CloudSocket: Smart grid platform for datacenters
S Lee, H Kim, S Park, S Kim, H Choe, CS Jeong, S Yoon
2016 IEEE 34th International Conference on Computer Design (ICCD), 436-439, 2016
22016
CloudSocket: Fine-Grained Power Sensing System for Datacenters
S Lee, H Kim, S Park, S Kim, H Choe, S Yoon
IEEE Access 6, 49601-49610, 2018
12018
Techniques for improving coarse-grained reconfigurable architectures
K Han, S Park, K Choi, JK Paek, J Lee
2011 IEEE 54th International Midwest Symposium on Circuits and Systems …, 2011
12011
Towards fast and accurate object detection in bio-inspired spiking neural networks through Bayesian optimization
S Kim, S Park, B Na, J Kim, S Yoon
IEEE Access, 2020
2020
Memory-Augmented Neural Networks on FPGA for Real-Time and Energy-Efficient Question Answering
S Park, J Jang, S Kim, B Na, S Yoon
IEEE Transactions on Very Large Scale Integration (VLSI) Systems 29 (1), 162-175, 2020
2020
Energy-aware Placement for SRAM-NVM Hybrid FPGAs
S Park, J Kim, S Yoon
2020 Design, Automation & Test in Europe Conference & Exhibition (DATE), 858-863, 2020
2020
Improving Energy Efficiency of Neural Networks
S Park
Seoul National University, 2020
2020
A Power-Conscious Approach to Code Compression for Coarse-Grained Reconfigurable Array
S Park
Seoul National University, 2012
2012
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Articles 1–17