Projects
CNN-based resist kernel optimization (2020 - 2023)
Graph neural network guided leakage optimization (2019 - 2021)
Gate-level clock gating for cyclic logic paths (2019 - 2022)
Dynamic voltage drop prediction with CNN (2019 - 2022)
RNN-based OPC acceleration (2018 - 2020)
Synthetic test pattern generation using generative model (2018 - 2020)
Machine learning based SRAF printing prediction (2018 - 2019)
Early stage clock network power estimation (2017 - 2019)
Publications
[C15] Multisource clock tree synthesis through sink clustering and fast clock latency prediction (accepted)
Byungho Choi, Yonghwi Kwon, Umar Afzaal, and Youngsoo Shin
IEEE International Symposium on Circuits and Systems (ISCAS), 2023
[C14] Fast prediction of dynamic IR-Drop using recurrent U-net architecture
Yonghwi Kwon and Youngsoo Shin
ACM/IEEE Workshop on Machine Learning for CAD (MLCAD), Sep. 2022
[J4] Calibration of Compact Resist Model Through CNN Training (in revision)
Yonghwi Kwon and Youngsoo Shin
IEEE Transactions on Semiconductor Manufacturing (TSM)
[P1] METHOD AND APPARATUS FOR PREDICTING VOLTAGE DROP IN SEMICONDUCTOR DEVICE
Youngsoo Shin, Yonghwi Kwon, and Giyoon Jung
Korea Patent 10-2021-0184730
[J3] Integrated Test Pattern Extraction and Generation for Accurate Lithography Modeling
Gangmin Cho, Yonghwi Kwon, Pervaiz Kareem, and Youngsoo Shin
IEEE Transactions on Semiconductor Manufacturing (TSM), vol. 35, Aug. 2022
[C13] Context-aware fast optical proximity correction using bidirectional recurrent neural network
Yonghwi Kwon and Youngsoo Shin
SPIE Advanced Lithography, Apr. 2022
[C12] Refragmentation through machine learning classifier for fast optical proximity correction
Gangmin Cho, Byungho Choi, Yonghwi Kwon, and Youngsoo Shin
SPIE Advanced Lithography, Apr. 2022
[C11] Synthesis of hotspot patterns using generative network trained with hotspot probability
Byungho Choi, Gangmin Cho, Yonghwi Kwon, and Youngsoo Shin
SPIE Advanced Lithography, Apr. 2022
[C10] Dynamic IR drop prediction using image-to-image translation neural network
Yonghwi Kwon, Daijoon Hyun, Giyoon Jung, and Youngsoo Shin
IEEE International Symposium on Circuits and Systems (ISCAS), May 2021
[J2] Optical proximity correction using bidirectional recurrent neural network with attention mechanism (2021 IEEE TSM Best Paper Award)
Yonghwi Kwon and Youngsoo Shin
IEEE Transactions on Semiconductor Manufacturing (TSM), vol. 34, May 2021
[C9] Test pattern extraction for lithography modeling under design rule revisions
Gangmin Cho, Yonghwi Kwon, Pervaiz Kareem, Sungho Kim, and Youngsoo Shin
SPIE Advanced Lithography, Feb. 2021
[C8] Fast prediction of process variation band through machine learning models
Pervaiz Kareem, Yonghwi Kwon, Gangmin Cho, and Youngsoo Shin
SPIE Advanced Lithography, Feb. 2021
[C7] Optimization of accurate resist kernels through convolutional neural network
Yonghwi Kwon and Youngsoo Shin
SPIE Advanced Lithography, Feb. 2021
[C6] Fast ECO leakage optimization using graph convolutional network (Best paper award candidate)
Wonjae Lee, Yonghwi Kwon, and Youngsoo Shin
ACM Great Lakes Symposium on VLSI (GLSVLSI), Aug. 2020
[C5] Pre-layout clock tree estimation and optimization using artificial neural network
Sunwha Koh, Yonghwi Kwon, and Youngsoo Shin
ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED), Sep. 2020
[J1] Layout pattern synthesis for lithography optimizations
Pervaiz Kareem, Yonghwi Kwon, and Youngsoo Shin
IEEE Transactions on Semiconductor Manufacturing (TSM), vol. 33, May 2020
[C4] SRAF printing prediction using artificial neural network
Yonghwi Kwon, Jinho Yang, Sungho Kim, Cheolkyun Kim, and Youngsoo Shin
SPIE Advanced Lithography, Feb. 2020
[C3] Clock gating synthesis of netlist with cyclic logic paths
Yonghwi Kwon, Inhak Han, and Youngsoo Shin
IEEE/ACM International Conference on Computer-Aided Design (ICCAD), Nov. 2019
[C2] Optical proximity correction using bidirectional recurrent neural network (BRNN)
Yonghwi Kwon, Youngsoo Song, and Youngsoo Shin
SPIE Advanced Lithography, Feb. 2019
[C1] Transient clock power estimation of pre-CTS netlist
Yonghwi Kwon, Jinwook Jung, Inhak Han, and Youngsoo Shin
IEEE International Symposium on Circuits and Systems (ISCAS), May 2018
Honors
PhD Outstanding Dissertation Award from School of EE, KAIST
Jan. 2023
Reviewer of IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Jul. 2022 ~
Recipient of 2022 SPIE Nick Cobb Memorial Scholarship
Jan. 2022, $10,000 scholarship (see SPIE News)
Young Fellow @ 58th Design Automation Conf. (DAC)
Dec. 2021
Best paper award nomination @ ACM Great Lakes Symposium on VLSI (GLSVLSI)
Aug. 2020
Invited speaker @ Optical Society Korea (OSK) Summer Meeting
Jul. 2020
Second prize @ SK Hynix Open Idea Contest
Nov. 2019, received with 18,000$ reward cash (see SK hynix Newsroom, in Korean)
Invited speaker @ Next Generation Lithography (NGL) conf.
Aug. 2019
Richard Newton Young Fellow @ 56th Design Automation Conf. (DAC)
Jun. 2019