| GAN-CTS: A generative adversarial framework for clock tree prediction and optimization YC Lu, J Lee, A Agnesina, K Samadi, SK Lim 2019 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 1-8, 2019 | 48 | 2019 |
| TP-GNN: A graph neural network framework for tier partitioning in monolithic 3D ICs YC Lu, SSK Pentapati, L Zhu, K Samadi, SK Lim 2020 57th ACM/IEEE Design Automation Conference (DAC), 1-6, 2020 | 47 | 2020 |
| The law of attraction: Affinity-aware placement optimization using graph neural networks YC Lu, S Pentapati, SK Lim Proceedings of the 2021 International Symposium on Physical Design, 7-14, 2021 | 26 | 2021 |
| Rl-sizer: Vlsi gate sizing for timing optimization using deep reinforcement learning YC Lu, S Nath, V Khandelwal, SK Lim 2021 58th ACM/IEEE Design Automation Conference (DAC), 733-738, 2021 | 18 | 2021 |
| VLSI placement optimization using graph neural networks YC Lu, S Pentapati, SK Lim Proceedings of the 34th Advances in Neural Information Processing Systems …, 2020 | 14 | 2020 |
| Doomed run prediction in physical design by exploiting sequential flow and graph learning YC Lu, S Nath, V Khandelwal, SK Lim 2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 1-9, 2021 | 12 | 2021 |
| A fast learning-driven signoff power optimization framework YC Lu, S Nath, SSK Pentapati, SK Lim Proceedings of the 39th International Conference on Computer-Aided Design, 1-9, 2020 | 10 | 2020 |
| Snap-3d: A constrained placement-driven physical design methodology for face-to-face-bonded 3d ics P Vanna-Iampikul, C Shao, YC Lu, S Pentapati, SK Lim Proceedings of the 2021 International Symposium on Physical Design, 39-46, 2021 | 8 | 2021 |
| Power Supply Noise-Aware Scan Test Pattern Reshaping for At-Speed Delay Fault Testing of Monolithic 3D ICs * SC Hung, YC Lu, SK Lim, K Chakrabarty 2020 IEEE 29th Asian Test Symposium (ATS), 1-6, 2020 | 5 | 2020 |
| On Advancing Physical Design using Graph Neural Networks YC Lu, SK Lim Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided …, 2022 | 4 | 2022 |
| Placement optimization via ppa-directed graph clustering YC Lu, T Yang, SK Lim, H Ren Proceedings of the 2022 ACM/IEEE Workshop on Machine Learning for CAD, 1-6, 2022 | 3 | 2022 |
| Driving early physical synthesis exploration through end-of-flow total power prediction YC Lu, WT Chan, V Khandelwal, SK Lim Proceedings of the 2022 ACM/IEEE Workshop on Machine Learning for CAD, 97-102, 2022 | 2 | 2022 |
| A Machine Learning-Powered Tier Partitioning Methodology for Monolithic 3-D ICs YC Lu, S Pentapati, L Zhu, G Murali, K Samadi, SK Lim IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2021 | 2 | 2021 |
| Eco-gnn: Signoff power prediction using graph neural networks with subgraph approximation YC Lu, S Nath, S Pentapati, SK Lim ACM Transactions on Design Automation of Electronic Systems 28 (4), 1-22, 2023 | 1 | 2023 |
| Snap-3D: A Constrained Placement-Driven Physical Design Methodology for High Performance 3D ICs P Vanna-Iampikul, C Shao, YC Lu, S Pentapati, Y Heo, J Choi, SK Lim IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2022 | 1 | 2022 |
| A Clock Tree Prediction and Optimization Framework Using Generative Adversarial Learning YC Lu, J Lee, A Agnesina, K Samadi, SK Lim IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2021 | 1 | 2021 |
| Power Supply Noise-Aware At-Speed Delay Fault Testing of Monolithic 3-D ICs SC Hung, YC Lu, SK Lim, K Chakrabarty IEEE Transactions on Very Large Scale Integration (VLSI) Systems 29 (11 …, 2021 | 1 | 2021 |
| Reinforcement learning-based adjustment of digital circuits S Nath, V Khandelwal, YC Lu, P Ghanta US Patent 11,741,282, 2023 | | 2023 |
| RL-CCD: Concurrent Clock and Data Optimization using Attention-Based Self-Supervised Reinforcement Learning YC Lu, WT Chan, D Guo, S Kundu, V Khandelwal, SK Lim 2023 60th ACM/IEEE Design Automation Conference (DAC), 1-6, 2023 | | 2023 |
| DREAM-GAN: Advancing DREAMPlace towards Commercial-Quality using Generative Adversarial Learning YC Lu, H Ren, HH Hsiao, SK Lim Proceedings of the 2023 International Symposium on Physical Design, 141-148, 2023 | | 2023 |
Sung Kyu LimProfessor, Georgia Institute of TechnologyVerified email at ece.gatech.edu
