Seongsik Park

According to our database, Seongsik Park authored at least 32 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2024

Implementation of two-step gradual reset scheme for enhancing state uniformity of 2D hBN-based memristors for image processing.

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

Neuromorph. Comput. Eng., 2024

2023

sEMG-Based Gesture Recognition Using Temporal History.

Chaerin Hong, Seongsik Park, Keehoon Kim

IEEE Trans. Biomed. Eng., September, 2023

Improving Text-to-SQL with a Hybrid Decoding Method.

Geunyeong Jeong, Mirae Han, Seulgi Kim, Yejin Lee, Joosang Lee, Seongsik Park, Harksoo Kim

Entropy, March, 2023

M2Former: Multi-Scale Patch Selection for Fine-Grained Visual Recognition.

Jiyong Moon, Junseok Lee, Yunju Lee, Seongsik Park

CoRR, 2023

Gradient Scaling on Deep Spiking Neural Networks with Spike-Dependent Local Information.

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

CoRR, 2023

SimFLE: Simple Facial Landmark Encoding for Self-Supervised Facial Expression Recognition in the Wild.

Jiyong Moon, Seongsik Park

CoRR, 2023

A Framework for Vision-Language Warm-up Tasks in Multimodal Dialogue Models.

Jaewook Lee, Seongsik Park, Seong-Heum Park, Hongjin Kim, Harksoo Kim

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

AutoSNN: Towards Energy-Efficient Spiking Neural Networks.

Byunggook Na, Jisoo Mok, Seongsik Park, Dongjin Lee, Hyeokjun Choe, Sungroh Yoon

Proceedings of the International Conference on Machine Learning, 2022

Improving Graph-based Document-Level Relation Extraction Model with Novel Graph Structure.

Seongsik Park, Dongkeun Yoon, Harksoo Kim

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Memory-Augmented Neural Networks on FPGA for Real-Time and Energy-Efficient Question Answering.

Seongsik Park, Jaehee Jang, Sei Joon Kim, Byunggook Na, Sungroh Yoon

IEEE Trans. Very Large Scale Integr. Syst., 2021

Scalable Smartphone Cluster for Deep Learning.

Byunggook Na, Jaehee Jang, Seongsik Park, Sei Joon Kim, Joonoo Kim, Moon-Sik Jeong, Kwang-Choon Kim, Seon Heo, Yoonsang Kim, Sungroh Yoon

CoRR, 2021

Improving Sentence-Level Relation Extraction through Curriculum Learning.

Seongsik Park, Harksoo Kim

CoRR, 2021

Training Energy-Efficient Deep Spiking Neural Networks with Time-to-First-Spike Coding.

Seongsik Park, Sungroh Yoon

CoRR, 2021

Dual Pointer Network for Fast Extraction of Multiple Relations in a Sentence.

Seongsik Park, Harksoo Kim

CoRR, 2021

Towards Fast and Accurate Object Detection in Bio-Inspired Spiking Neural Networks Through Bayesian Optimization.

Sei Joon Kim, Seongsik Park, Byunggook Na, Jongwan Kim, Sungroh Yoon

IEEE Access, 2021

Noise-Robust Deep Spiking Neural Networks with Temporal Information.

Seongsik Park, Dongjin Lee, Sungroh Yoon

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

2020

Training-Free Bayesian Self-Adaptive Classification for sEMG Pattern Recognition Including Motion Transition.

Seongsik Park, Wan Kyun Chung, Keehoon Kim

IEEE Trans. Biomed. Eng., 2020

Energy-aware Placement for SRAM-NVM Hybrid FPGAs.

Seongsik Park, Jongwan Kim, Sungroh Yoon

Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

T2FSNN: Deep Spiking Neural Networks with Time-to-first-spike Coding.

Seongsik Park, Sei Joon Kim, Byunggook Na, Sungroh Yoon

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

Spiking-YOLO: Spiking Neural Network for Energy-Efficient Object Detection.

Sei Joon Kim, Seongsik Park, Byunggook Na, Sungroh Yoon

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Programming by Demonstration Using the Teleimpedance Control Scheme: Verification by an sEMG-Controlled Ball-Trapping Robot.

Seongsik Park, Woongyong Lee, Wan Kyun Chung, Keehoon Kim

IEEE Trans. Ind. Informatics, 2019

Hierarchical Motion Segmentation Through sEMG for Continuous Lower Limb Motions.

Seongsik Park, Donghyeon Lee, Wan Kyun Chung, Keehoon Kim

IEEE Robotics Autom. Lett., 2019

Spiking-YOLO: Spiking Neural Network for Real-time Object Detection.

Sei Joon Kim, Seongsik Park, Byunggook Na, Sungroh Yoon

CoRR, 2019

Energy-Efficient Inference Accelerator for Memory-Augmented Neural Networks on an FPGA.

Seongsik Park, Jaehee Jang, Sei Joon Kim, Sungroh Yoon

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019

Fast and Efficient Information Transmission with Burst Spikes in Deep Spiking Neural Networks.

Seongsik Park, Sei Joon Kim, Hyeokjun Choe, Sungroh Yoon

Proceedings of the 56th Annual Design Automation Conference 2019, 2019

2018

Streaming MANN: A Streaming-Based Inference for Energy-Efficient Memory-Augmented Neural Networks.

Seongsik Park, Jaehee Jang, Sei Joon Kim, Sungroh Yoon

CoRR, 2018

CloudSocket: Fine-Grained Power Sensing System for Datacenters.

Seil Lee, Hanjoo Kim, Seongsik Park, Sei Joon Kim, Hyeokjun Choe, Sungroh Yoon

IEEE Access, 2018

Quantized Memory-Augmented Neural Networks.

Seongsik Park, Sei Joon Kim, Seil Lee, Ho Bae, Sungroh Yoon

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2016

An Efficient Approach to Boosting Performance of Deep Spiking Network Training.

Seongsik Park, Sang-gil Lee, Hyunha Nam, Sungroh Yoon

CoRR, 2016

Near-Data Processing for Machine Learning.

Hyeokjun Choe, Seil Lee, Seongsik Park, Sei Joon Kim, Eui-Young Chung, Sungroh Yoon

CoRR, 2016

CloudSocket: Smart grid platform for datacenters.

Seil Lee, Hanjoo Kim, Seongsik Park, Sei Joon Kim, Hyeokjun Choe, Chang-Sung Jeong, Sungroh Yoon

Proceedings of the 34th IEEE International Conference on Computer Design, 2016

2012

State-based full predication for low power coarse-grained reconfigurable architecture.

Kyuseung Han, Seongsik Park, Kiyoung Choi

Proceedings of the 2012 Design, Automation & Test in Europe Conference & Exhibition, 2012