Publications
2024
IGZO Charge Trap Flash Device for Reconfigurable Logic Functions
Eunpyo Park, Dong Yeon Woo, Gichang Noh, Yooyeon Jo, Dae Kyu Lee, Jongkil Park, Jaewook Kim, YeonJoo Jeong, Seongsik Park, Hyun Jae Jang, Nakwon Choi, Sangbum Kim, Joon Young Kwak, in Applied Physics Letters, vol. 124, March 2024. (SCIE, IF 4.0)
Demonstration of an energy-efficient Ising solver composed of Ovonic Threshold Switch (OTS)-based nano-oscillators (OTSNOs)
Young Woong Lee, Seon Jeong Kim, Jaewook Kim, Sangheon Kim, Jongkil Park, YeonJoo Jeong, Gyu Weon Hwang, Seongsik Park, Bae Ho Park, Suyoun Lee, in Nano Convergence, March 2024. (SCIE, IF 11.7)
A Study on Pattern Classifications with MoS2-based CTF Synaptic Device
Yooyeon Jo, Minkyung Kim, Eunpyo Park, Gichang Noh, Gyu Weon Hwang, YeonJoo Jeong, Jaewook Kim, Jongkil Park, Seongsik Park, Hyun Jae Jang, Joon Young Kwak, in Journal of Alloys and Compounds, 173699, January 2024. (SCIE, IF 6.2)
2023
Hardware Implementation of Network Connectivity Relationships Using 2D hBN-Based Artificial Neuron and Synaptic Devices
Yooyeon Jo, Dong Yeon Woo, Gichang Noh, Eunpyo Park, Min Jee Kim, Yong Woo Sung, Dae Kyu Lee, Jongkil Park, Jaewook Kim, YeonJoo Jeong, Suyoun Lee, Inho Kim, Jong‐Keuk Park, Seongsik Park, Joon Young Kwak, in Advanced Functional Materials, 2309058, November 2023. (SCIE, IF 19.0)
Reduction of carrier density and enhancement of the bulk Rashba spin-orbit coupling strength in Bi2Te3/GeTe superlattices
Seong Won Cho, Young Woong Lee, Sang Heon Kim, Seungwu Han, Inho Kim, Jong-Keuk Park, Joon Young Kwak, Jaewook Kim, YeonJoo Jeong, Gyu Weon Hwang, Kyeong Seok Lee, Seongsik Park, Suyoun Lee, in Journal of Alloys and Compounds, vol. 957, 170444, September 2023. (SCIE, IF 6.2)
Multifilamentary switching of Cu/SiOx memristive devices with a Ge-implanted a-Si underlayer for analog synaptic devices
Keonhee Kim, Jae Gwang Lim, Su Man Hu, Yeonjoo Jeong, Jaewook Kim, Suyoun Lee, Joon Young Kwak, Jongkil Park, Gyu Weon Hwang, Kyeong-Seok Lee, Seongsik Park, Wook-Seong Lee, Byeong-Kwon Ju, Jong Keuk Park, Inho Kim, in NPG Asia Materials, 15, 48, September 2023. (SCIE, IF 9.7)
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, Jyeong Seok Lee, Hwang Gye Weon, Hyun Jae Jang, in International Conference on Machine Learning (ICML) Workshop on Localized Learning, Hawaii, USA, July 2023.
*corresponding author: Seongsik Park
2022
Rational engineering of a switching material for an Ovonic threshold switching (OTS) device with mitigated electroforming
Jaesang Lee, Seong Won Cho, Young Woong Lee, Joon Young Kwak, Jaewook Kim, Yeonjoo Jeong, Gyu Weon Hwang, Seongsik Park, SangBum Kim, Suyoun Lee, J. Mater. Chem. C, vol. 10, pp. 18033-18039, November 2022.
AutoSNN: Towards Energy-Efficient Spiking Neural Networks
Byunggook Na, Jisoo Mok, Seongsik Park, Dongjin Lee, Hyeokjun Choe, Sungroh Yoon, in Proceedings of International Conference on Machine Learning (ICML), Baltimore, USA, July 2022. (Top tier, Oral (short), Acceptance ratio: 21.9%)
2021
Noise-Robust Deep Spiking Neural Networks with Temporal Information
Seongsik Park, Dongjin Lee, Sungroh Yoon, in Proceedings of Design Automation Conference (DAC), San Francisco, USA, December 2021. (Top tier, Oral, Acceptance ratio: 23%)
Towards Fast and Accurate Object Detection in Bio-inspired Spiking Neural Networks through Bayesian Optimization
Seijoon Kim, Seongsik Park, Byunggook Na, Jongwan Kim, Sungroh Yoon, IEEE Access, vol. 9, pp. 2633-2643, January 2021. (SCIE, IF 3.745)
Memory-Augmented Neural Networks on FPGA for Real-Time and Energy-Efficient Question Answering
Seongsik Park, Jaehee Jang, Seijoon Kim, Byunggook Na, Sungroh Yoon, IEEE Transactions on Very Large Scale Integration (TVLSI) Systems, vol. 20, no. 1, pp. 162-175, January 2021. (SCIE, IF 2.312)
2020
T2FSNN: Deep Spiking Neural Networks with Time-to-first-spike Coding
Seongsik Park, Seijoon Kim, Byunggook Na, Sungroh Yoon, in Proceedings of Design Automation Conference (DAC), San Francisco, USA, July 2020. (Top tier, Oral, Acceptance ratio: 23%)
Energy-aware Placement for SRAM-NVM Hybrid FPGAs
Seongsik Park, Jongwan Kim, Sungroh Yoon, in Proceedings of Design, Automation and Test in Europe (DATE), Grenoble, France, March 2020. (Oral, Acceptance ratio: 26%)
Spiking-YOLO: Spiking Neural Network for Energy-efficient Object Detection
Seijoon Kim, Seongsik Park, Byunggook Na, Sungroh Yoon, in Proceedings of AAAI Conference on Artificial Intelligence (AAAI), New York, USA, February 2020. (Top tier, Spotlight, Acceptance ratio: 20.6%)
2019
Fast and Efficient Information Transmission with Burst Spikes in Deep Spiking Neural Networks
Seongsik Park, Seijoon Kim, Hyeokjun Choi, Sungroh Yoon, in Proceedings of Design Automation Conference (DAC), Las Vegas, USA, June 2019. (Top tier, Oral, Acceptance ratio: 24.8%)
Energy-Efficient Inference Accelerator for Memory-Augmented Neural Networks on FPGA
Seongsik Park, Jaehee Jang, Seijoon Kim, Sungroh Yoon, in Proceedings of Design, Automation and Test in Europe (DATE), Florence, Italy, March 2019.
2018
Energy-Efficient Inference Accelerator for Memory-Augmented Neural Networks on FPGA
Seongsik Park, Jaehee Jang, Seijoon Kim, Sungroh Yoon, in Proceedings of Design, Automation and Test in Europe (DATE), Florence, Italy, March 2019.
CloudSocket: Fine-Grained Power Sensing System for Datacenters
Seil Lee, Hanjoo Kim, Seongsik Park, Seijoon Kim, Hyeokjun Choe, Sungroh Yoon, IEEE Access, vol. 6, no. 1, pp. 49601-49610, September 2018. (SCIE, IF 4.098)
Quantized Memory-Augmented Neural Networks
Seongsik Park, Seijoon Kim, Seil Lee, Ho Bae, Sungroh Yoon, in Proceedings of AAAI Conference on Artificial Intelligence (AAAI), New Orleans, USA, February 2018. (Top tier, Spotlight, Acceptance ratio: 24.6%)
~ 2017
Near-Data Processing for Differentiable Machine Learning Models
Hyeokjun Choe, Seil Lee, Hyunha Nam, Seongsik Park, Seijoon Kim, Eui-Young Chung, Sungroh Yoon, in Proceedings of International Conference on Massive Storage Systems and Technology (MSST), Santa Clara, USA, May 2017.
An Efficient Method to Boosting Performance of Spiking Neural Network Training
Seongsik Park, Sang-gil Lee, Hyunha Nam, Sungroh Yoon, in Proceedings of Conference on Neural Information Processing Systems (NIPS) Workshop on Computing with Spikes, Barcelona, Spain, December 2016.
CloudSocket: Smart Grid Platform for Datacenters
Seil Lee, Hanjoo Kim, Seongsik Park, Seijoon Kim, Hyeokjun Choe, Chang-Sung Jeong, Sungroh Yoon, in Proceedings of International Conference on Computer Design (ICCD), Phoenix, USA, October 2016.
State-based Full Prediction for Low Power Coarse-grained Reconfigurable Architecture
Kyuseung Han, Seongsik Park, Kiyoung Choi, in Proceedings of Design, Automation and Test in Europe (DATE), Dresden, Germany, March 2012.
Techniques for Improving Coarse-grained Reconfigurable Architectures
Kyuseung Han, Seongsik Park, Kiyoung Choi, Jong Kyung Paek, Jongeun Lee, in Proceedings of International Midwest Symposium on Circuits and Systems (MWSCAS), Seoul, Korea, August 2011.
An Approach to Code Compression for CGRA
Seongsik Park, Kiyoung Choi, in Proceedings of Asia Symposium on Quality Electronic Design (ASQED), Kuala Lumpur, Malaysia, July 2011.