Seongsik Park

发表

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

Kiyoung Choi, Kyuseung Han, Seongsik Park, 2012, 2012 Design, Automation & Test in Europe Conference & Exhibition (DATE).

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

Sungroh Yoon, Sei Joon Kim, Seongsik Park, 2018, ArXiv.

Relation Extraction among Multiple Entities Using a Dual Pointer Network with a Multi-Head Attention Mechanism

Harksoo Kim, Seongsik Park, 2019, EMNLP.

Techniques for improving coarse-grained reconfigurable architectures

Kiyoung Choi, Jongeun Lee, Kyuseung Han, 2011, 2011 IEEE 54th International Midwest Symposium on Circuits and Systems (MWSCAS).

An approach to code compression for CGRA

Kiyoung Choi, Seongsik Park, 2011, 2011 3rd Asia Symposium on Quality Electronic Design (ASQED).

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

Sungroh Yoon, Seongsik Park, Sang-gil Lee, 2016, ArXiv.

Energy-aware Placement for SRAM-NVM Hybrid FPGAs

Sungroh Yoon, Seongsik Park, Jongwan Kim, 2020, 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE).

CloudSocket: Fine-Grained Power Sensing System for Datacenters

Sungroh Yoon, Hanjoo Kim, Seongsik Park, 2018, IEEE Access.

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

Harksoo Kim, Seongsik Park, H. Kim, 2020, Applied Sciences.

Korean Dependency Parsing Using ELMo and Multi-head Attention

Harksoo Kim, Seongsik Park, Sihyung Kim, 2018 .

CloudSocket: Smart grid platform for datacenters

Sungroh Yoon, Chang-Sung Jeong, Hanjoo Kim, 2016, 2016 IEEE 34th International Conference on Computer Design (ICCD).

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

Sungroh Yoon, Seongsik Park, Byunggook Na, 2020, AAAI.

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

Wan Kyun Chung, Keehoon Kim, Seongsik Park, 2020, IEEE Transactions on Biomedical Engineering.

Training-Free sEMG Pattern Recognition Algorithm: A Case Study of A Patient with Partial-Hand Amputation

Wan Kyun Chung, Keehoon Kim, Seongsik Park, 2019, Journal of Korea Robotics Society.

Near-Data Processing for Differentiable Machine Learning Models

Sungroh Yoon, Eui-Young Chung, Seongsik Park, 2016, 1610.02273.

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

Sungroh Yoon, Seongsik Park, Byunggook Na, 2021, IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

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

Sungroh Yoon, Seongsik Park, Jaehee Jang, 2018, 2019 Design, Automation & Test in Europe Conference & Exhibition (DATE).

Near-Data Processing for Machine Learning pdf

Sungroh Yoon, Eui-Young Chung, Sei Joon Kim, 2016, ArXiv.

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

Sungroh Yoon, Seongsik Park, Byunggook Na, 2019, ArXiv.

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

Sungroh Yoon, Sei Joon Kim, Seongsik Park, 2018, 2019 56th ACM/IEEE Design Automation Conference (DAC).

Analysis of the Training Performance and Time of SNN by STDP Algorithms and Spike Temporal Interactions

Sungroh Yoon, Seongsik Park, 2018 .

Quantized Memory-Augmented Neural Networks pdf

Sungroh Yoon, Sei Joon Kim, Seongsik Park, 2017, AAAI.

Hierarchical Motion Segmentation Through sEMG for Continuous Lower Limb Motions

Wan Kyun Chung, Keehoon Kim, Seongsik Park, 2019, IEEE Robotics and Automation Letters.

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

Wan Kyun Chung, Woongyong Lee, Keehoon Kim, 2019, IEEE Transactions on Industrial Informatics.

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

Sungroh Yoon, Seongsik Park, Byunggook Na, 2020, 2020 57th ACM/IEEE Design Automation Conference (DAC).

Hierarchical Segmentation of Continuous Motions through sEMG Signal Analysis

Wan Kyun Chung, Keehoon Kim, Donghyeon Lee, 2019 .