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2020 – today
- 2024
[j10]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)- [j9]Seongsik Park, Harksoo Kim:
Effective sentence-level relation extraction model using entity-centric dependency tree. PeerJ Comput. Sci. 10: e2311 (2024) - [i17]Dayena Jeong, Jaewoo Park, Jeonghee Jo, Jongkil Park, Jaewook Kim, Hyun Jae Jang, Suyoun Lee, Seongsik Park:
A More Accurate Approximation of Activation Function with Few Spikes Neurons. CoRR abs/2409.00044 (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) - [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 - [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
- [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 - [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
- [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) - [c9]Seongsik Park, Dongjin Lee, Sungroh Yoon:
Noise-Robust Deep Spiking Neural Networks with Temporal Information. DAC 2021: 373-378 - [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
- [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) - [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 - [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
- [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) - [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) - [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) - 2012
- [c1]Kyuseung Han, Seongsik Park, Kiyoung Choi:
State-based full predication for low power coarse-grained reconfigurable architecture. DATE 2012: 1367-1372
Coauthor Index
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