| Transient Clock Power Estimation of Pre-CTS Netlist Y Kwon, J Jung, I Han, Y Shin 2018 IEEE International Symposium on Circuits and Systems (ISCAS), 1-4, 2018 | 14 | 2018 |
| Optical proximity correction using bidirectional recurrent neural network (BRNN) Y Kwon, Y Song, Y Shin Design-Process-Technology Co-optimization for Manufacturability XIII 10962 …, 2019 | 10 | 2019 |
| Layout Pattern Synthesis for Lithography Optimizations P Kareem, Y Kwon, Y Shin IEEE Transactions on Semiconductor Manufacturing 33 (2), 283-290, 2020 | 8 | 2020 |
| Pre-layout clock tree estimation and optimization using artificial neural network S Koh, Y Kwon, Y Shin Proceedings of the ACM/IEEE International Symposium on Low Power Electronics …, 2020 | 7 | 2020 |
| Dynamic IR Drop Prediction Using Image-to-Image Translation Neural Network Y Kwon, G Jung, D Hyun, Y Shin 2021 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2021 | 6 | 2021 |
| Fast ECO Leakage Optimization Using Graph Convolutional Network W Lee, Y Kwon, Y Shin Proceedings of the 2020 on Great Lakes Symposium on VLSI, 187-192, 2020 | 6 | 2020 |
| Optical Proximity Correction Using Bidirectional Recurrent Neural Network With Attention Mechanism Y Kwon, Y Shin IEEE Transactions on Semiconductor Manufacturing 34 (2), 168-176, 2021 | 5 | 2021 |
| Optimization of accurate resist kernels through convolutional neural network Y Kwon, Y Shin Optical Microlithography XXXIV 11613, 92-99, 2021 | 3 | 2021 |
| SRAF printing prediction using artificial neural network Y Kwon, J Yang, S Kim, C Kim, Y Shin Optical Microlithography XXXIII 11327, 74-82, 2020 | 3 | 2020 |
| Fast Prediction of Dynamic IR-Drop Using Recurrent U-Net Architecture Y Kwon, Y Shin Proceedings of the 2022 ACM/IEEE Workshop on Machine Learning for CAD, 71-76, 2022 | 2 | 2022 |
| Refragmentation through machine learning classifier for fast and accurate optical proximity correction G Cho, Y Kwon, T Kim, Y Shin DTCO and Computational Patterning 12052, 196-202, 2022 | 2 | 2022 |
| Matrix-OPC with fast MEEF prediction using artificial neural network Y Kwon, Y Shin DTCO and Computational Patterning 12052, 217-224, 2022 | 2 | 2022 |
| Test pattern extraction for lithography modeling under design rule revisions G Cho, Y Kwon, P Kareem, S Kim, Y Shin Optical Microlithography XXXIV 11613, 145-152, 2021 | 2 | 2021 |
| Integrated Test Pattern Extraction and Generation for Accurate Lithography Modeling G Cho, Y Kwon, P Kareem, Y Shin IEEE Transactions on Semiconductor Manufacturing 35 (3), 495-503, 2022 | 1 | 2022 |
| Hotspot pattern synthesis using generative network with hotspot probability model B Choi, G Cho, Y Kwon, Y Shin DTCO and Computational Patterning 12052, 147-154, 2022 | 1 | 2022 |
| Fast prediction of process variation band through machine learning models P Kareem, Y Kwon, G Cho, Y Shin Optical Microlithography XXXIV 11613, 14-21, 2021 | 1 | 2021 |
| Multisource Clock Tree Synthesis Through Sink Clustering and Fast Clock Latency Prediction B Choi, Y Kwon, U Afzaal, Y Shin 2023 IEEE International Symposium on Circuits and Systems (ISCAS), 1-4, 2023 | | 2023 |
| Calibration of Compact Resist Model Through CNN Training Y Kwon, Y Shin IEEE Transactions on Semiconductor Manufacturing, 2023 | | 2023 |
| Clock Gating Synthesis of Netlist with Cyclic Logic Paths Y Kwon, I Han, Y Shin 2019 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 1-6, 2019 | | 2019 |
