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Seongsik Park
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Journal Articles
- 2024
- [j9]Dongyeon Woo
, Gichang Noh
, Eunpyo Park, Min Jee Kim, Dae Kyu Lee, Yong Woo Sung, Jaewook Kim, Yeonjoo Jeong, Jongkil Park, Seongsik Park, Hyun Jae Jang, Nakwon Choi
, Yooyeon Jo, Joon Young Kwak
:
Implementation of two-step gradual reset scheme for enhancing state uniformity of 2D hBN-based memristors for image processing. Neuromorph. Comput. Eng. 4(3): 34001 (2024) - 2023
- [j8]Geunyeong Jeong, Mirae Han, Seulgi Kim, Yejin Lee, Joosang Lee, Seongsik Park, Harksoo Kim
:
Improving Text-to-SQL with a Hybrid Decoding Method. Entropy 25(3): 513 (2023) - [j7]Chaerin Hong
, Seongsik Park
, Keehoon Kim
:
sEMG-Based Gesture Recognition Using Temporal History. IEEE Trans. Biomed. Eng. 70(9): 2655-2666 (2023) - 2021
- [j6]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) - [j5]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) - 2020
- [j4]Seongsik Park
, Wan Kyun Chung
, Keehoon Kim
:
Training-Free Bayesian Self-Adaptive Classification for sEMG Pattern Recognition Including Motion Transition. IEEE Trans. Biomed. Eng. 67(6): 1775-1786 (2020) - 2019
- [j3]Seongsik Park
, Donghyeon Lee
, Wan Kyun Chung
, Keehoon Kim
:
Hierarchical Motion Segmentation Through sEMG for Continuous Lower Limb Motions. IEEE Robotics Autom. Lett. 4(4): 4402-4409 (2019) - [j2]Seongsik Park
, Woongyong Lee
, Wan Kyun Chung
, Keehoon Kim
:
Programming by Demonstration Using the Teleimpedance Control Scheme: Verification by an sEMG-Controlled Ball-Trapping Robot. IEEE Trans. Ind. Informatics 15(2): 998-1006 (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)
Conference and Workshop Papers
- 2023
- [c12]Jaewook Lee, Seongsik Park, Seong-Heum Park, Hongjin Kim, Harksoo Kim:
A Framework for Vision-Language Warm-up Tasks in Multimodal Dialogue Models. EMNLP 2023: 2789-2799 - 2022
- [c11]Seongsik Park, Dongkeun Yoon, Harksoo Kim
:
Improving Graph-based Document-Level Relation Extraction Model with Novel Graph Structure. CIKM 2022: 4379-4383 - [c10]Byunggook Na, Jisoo Mok, Seongsik Park, Dongjin Lee, Hyeokjun Choe, Sungroh Yoon:
AutoSNN: Towards Energy-Efficient Spiking Neural Networks. ICML 2022: 16253-16269 - 2021
- [c9]Seongsik Park, Dongjin Lee, Sungroh Yoon:
Noise-Robust Deep Spiking Neural Networks with Temporal Information. DAC 2021: 373-378 - 2020
- [c8]Sei Joon Kim, Seongsik Park, Byunggook Na, Sungroh Yoon:
Spiking-YOLO: Spiking Neural Network for Energy-Efficient Object Detection. AAAI 2020: 11270-11277 - [c7]Seongsik Park
, Sei Joon Kim, Byunggook Na, Sungroh Yoon:
T2FSNN: Deep Spiking Neural Networks with Time-to-first-spike Coding. DAC 2020: 1-6 - [c6]Seongsik Park
, Jongwan Kim, Sungroh Yoon:
Energy-aware Placement for SRAM-NVM Hybrid FPGAs. DATE 2020: 858-863 - 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 - 2018
- [c3]Seongsik Park, Sei Joon Kim, Seil Lee, Ho Bae, Sungroh Yoon:
Quantized Memory-Augmented Neural Networks. AAAI 2018: 3909-3916 - 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 - 2012
- [c1]Kyuseung Han, Seongsik Park, Kiyoung Choi:
State-based full predication for low power coarse-grained reconfigurable architecture. DATE 2012: 1367-1372
Informal and Other Publications
- 2023
- [i16]Jiyong Moon, Seongsik Park:
SimFLE: Simple Facial Landmark Encoding for Self-Supervised Facial Expression Recognition in the Wild. CoRR abs/2303.07648 (2023) - [i15]Seongsik Park, Jeonghee Jo, Jongkil Park, Yeonjoo Jeong, Jaewook Kim, Suyoun Lee, Joon Young Kwak
, Inho Kim, Jong-Keuk Park, Kyeong Seok Lee, Gye Weon Hwang, Hyun Jae Jang:
Gradient Scaling on Deep Spiking Neural Networks with Spike-Dependent Local Information. CoRR abs/2308.00558 (2023) - [i14]Jiyong Moon, Junseok Lee, Yunju Lee, Seongsik Park:
M2Former: Multi-Scale Patch Selection for Fine-Grained Visual Recognition. CoRR abs/2308.02161 (2023) - 2022
- [i13]Byunggook Na, Jisoo Mok, Seongsik Park, Dongjin Lee, Hyeokjun Choe, Sungroh Yoon:
AutoSNN: Towards Energy-Efficient Spiking Neural Networks. CoRR abs/2201.12738 (2022) - 2021
- [i12]Seongsik Park, Harksoo Kim:
Dual Pointer Network for Fast Extraction of Multiple Relations in a Sentence. CoRR abs/2103.03509 (2021) - [i11]Seongsik Park, Dongjin Lee, Sungroh Yoon:
Noise-Robust Deep Spiking Neural Networks with Temporal Information. CoRR abs/2104.11169 (2021) - [i10]Seongsik Park, Sungroh Yoon:
Training Energy-Efficient Deep Spiking Neural Networks with Time-to-First-Spike Coding. CoRR abs/2106.02568 (2021) - [i9]Seongsik Park, Harksoo Kim:
Improving Sentence-Level Relation Extraction through Curriculum Learning. CoRR abs/2107.09332 (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
- [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) - 2019
- [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
- [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
- [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) - [i1]Seongsik Park, Sang-gil Lee, Hyunha Nam, Sungroh Yoon:
An Efficient Approach to Boosting Performance of Deep Spiking Network Training. CoRR abs/1611.02416 (2016)
Coauthor Index
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last updated on 2024-07-20 20:34 CEST by the dblp team
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