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2020 – today
- 2021
[j3]Sei Joon Kim
, Seongsik Park, Byunggook Na, Jongwan Kim, Sungroh Yoon:
Towards Fast and Accurate Object Detection in Bio-Inspired Spiking Neural Networks Through Bayesian Optimization. IEEE Access 9: 2633-2643 (2021)- [j2]Seongsik Park, Jaehee Jang, Sei Joon Kim, Byunggook Na, Sungroh Yoon:
Memory-Augmented Neural Networks on FPGA for Real-Time and Energy-Efficient Question Answering. IEEE Trans. Very Large Scale Integr. Syst. 29(1): 162-175 (2021) - [i8]Byunggook Na, Jaehee Jang, Seongsik Park, Sei Joon Kim, Joonoo Kim, Moon-Sik Jeong, Kwang-Choon Kim, Seon Heo, Yoonsang Kim, Sungroh Yoon:
Scalable Smartphone Cluster for Deep Learning. CoRR abs/2110.12172 (2021) - 2020
- [c7]Sei Joon Kim, Seongsik Park, Byunggook Na, Sungroh Yoon:
Spiking-YOLO: Spiking Neural Network for Energy-Efficient Object Detection. AAAI 2020: 11270-11277 - [c6]Seongsik Park, Sei Joon Kim, Byunggook Na, Sungroh Yoon:
T2FSNN: Deep Spiking Neural Networks with Time-to-first-spike Coding. DAC 2020: 1-6 - [i7]Seongsik Park, Sei Joon Kim, Byunggook Na, Sungroh Yoon:
T2FSNN: Deep Spiking Neural Networks with Time-to-first-spike Coding. CoRR abs/2003.11741 (2020)
2010 – 2019
- 2019
- [c5]Seongsik Park, Sei Joon Kim, Hyeokjun Choe, Sungroh Yoon:
Fast and Efficient Information Transmission with Burst Spikes in Deep Spiking Neural Networks. DAC 2019: 53 - [c4]Seongsik Park, Jaehee Jang, Sei Joon Kim, Sungroh Yoon:
Energy-Efficient Inference Accelerator for Memory-Augmented Neural Networks on an FPGA. DATE 2019: 1587-1590 - [i6]Sei Joon Kim, Seongsik Park, Byunggook Na, Sungroh Yoon:
Spiking-YOLO: Spiking Neural Network for Real-time Object Detection. CoRR abs/1903.06530 (2019) - 2018
- [j1]Seil Lee, Hanjoo Kim, Seongsik Park, Sei Joon Kim, Hyeokjun Choe, Sungroh Yoon:
CloudSocket: Fine-Grained Power Sensing System for Datacenters. IEEE Access 6: 49601-49610 (2018) - [c3]Seongsik Park, Sei Joon Kim, Seil Lee, Ho Bae, Sungroh Yoon:
Quantized Memory-Augmented Neural Networks. AAAI 2018: 3909-3916 - [i5]Seongsik Park, Jaehee Jang, Sei Joon Kim, Sungroh Yoon:
Streaming MANN: A Streaming-Based Inference for Energy-Efficient Memory-Augmented Neural Networks. CoRR abs/1805.07978 (2018) - [i4]Seongsik Park, Sei Joon Kim, Hyeokjun Choe, Sungroh Yoon:
Fast and Efficient Information Transmission with Burst Spikes in Deep Spiking Neural Networks. CoRR abs/1809.03142 (2018) - 2017
- [i3]Seongsik Park, Sei Joon Kim, Seil Lee, Ho Bae, Sungroh Yoon:
Quantized Memory-Augmented Neural Networks. CoRR abs/1711.03712 (2017) - 2016
- [c2]Seil Lee, Hanjoo Kim, Seongsik Park, Sei Joon Kim, Hyeokjun Choe, Chang-Sung Jeong, Sungroh Yoon:
CloudSocket: Smart grid platform for datacenters. ICCD 2016: 436-439 - [i2]Hyeokjun Choe, Seil Lee, Seongsik Park, Sei Joon Kim, Eui-Young Chung, Sungroh Yoon:
Near-Data Processing for Machine Learning. CoRR abs/1610.02273 (2016) - 2015
- [c1]Sungwoon Choi, Sei Joon Kim, Jongmo Seo, Jae Young Park, Sungroh Yoon:
Wearable and wireless measurement system for evaluating penile tumescence. BioCAS 2015: 1-4 - [i1]Sungmin Lee, Byunghan Lee, Sei Joon Kim, Sunyoung Kwon, Sungroh Yoon:
Will solid-state drives accelerate your bioinformatics? In-depth profiling, performance analysis, and beyond. CoRR abs/1502.02223 (2015)
Coauthor Index
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