| Optimization of machine learning guided optical proximity correction J Cho, G Cho, Y Shin 2018 IEEE 61st International Midwest Symposium on Circuits and Systems …, 2018 | 5 | 2018 |
| 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 | 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 |
| 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 |
| 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 |
| A fast and accurate PEB simulation through recurrent neural network G Cho, T Kim, S Kim, Y Shin Proc. of SPIE Vol 12954, 129540G-1, 2024 | | 2024 |
| Simultaneous Clock Wire Sizing and Shield Insertion for Minimizing Routing Blockage Y Song, G Cho, W Lee, Y Shin 2023 ACM/IEEE 5th Workshop on Machine Learning for CAD (MLCAD), 1-6, 2023 | | 2023 |
| Routability-Driven Power Distribution Network Synthesis with IR-Drop Budgeting W Lee, I Cho, G Cho, Y Shin 2023 ACM/IEEE 5th Workshop on Machine Learning for CAD (MLCAD), 1-6, 2023 | | 2023 |
| Fast Optical Proximity Correction Using Graph Convolutional Network With Autoencoders G Cho, T Kim, Y Shin IEEE Transactions on Semiconductor Manufacturing, 2023 | | 2023 |
| Block-Level Power Net Routing of Analog Circuit Using Reinforcement Learning T Kim, G Cho, Y Shin 2023 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2023 | | 2023 |
| Optical proximity correction with PID control through reinforcement learning T Kim, G Cho, Y Shin DTCO and Computational Patterning II 12495, 497-503, 2023 | | 2023 |
| Fast and accurate prediction of process variation band with custom kernels extracted from convolutional networks G Cho, T Kim, Y Shin DTCO and Computational Patterning II 12495, 482-489, 2023 | | 2023 |
| Fast IR-Drop Prediction of Analog Circuits Using Recurrent Synchronized GCN and Y-Net Model S Lee, D Hyun, Y Jung, G Cho, Y Shin | | |
Youngsoo ShinProfessor of Electrical Engineering, KAISTVerified email at ee.kaist.ac.kr
Youngsoo ShinProfessor of Electrical Engineering, KAISTVerified email at ee.kaist.ac.kr