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Total 190건
2 페이지
2025
175
FedEDA: Federated Learning Framework for Privacy-Preserving Machine Learning in EDA
JoonSeok Kim*, Donggyu Kim*, Seonghyeon Park, and Seokhyeong Kang
ACM/IEEE Design Automation Conference (DAC)
,
2025
Paper
Slide
LINK
174
Improving LLM-based Verilog Code Generation with Data Augmentation and RL
Kyungjun Min*, Seonghyeon Park*, Hyeonwoo Park, Jinoh Cho, and Seokhyeong Kang
Design, Automation and Test in Europe Conference and Exhibition (DATE)
,
2025
Paper
Slide
LINK
173
Neural Circuit Parameter Prediction for Efficient Quantum Data Loading
Dohun Kim, Sunghye Park, and Seokhyeong Kang
Design, Automation and Test in Europe Conference and Exhibition (DATE)
,
2025
Paper
Slide
LINK
172
LIBMixer: An all-MLP Architecture for Cell Library Characterization towards Design Space Optimization
Jaeseung Lee, Sunggyu Jang, Jakang Lee, and Seokhyeong Kang
30th Asia and South Pacific Design Automation Conference (ASP-DAC)
,
2025
Paper
Slide
LINK
171
ParaFormer: A Hybrid Graph Neural Network and Transformer Approach for Pre-Routing Parasitic RC Prediction
Jongho Yoon, Jakang Lee, Donggyu Kim, Junseok Hur, and Seokhyeong Kang
30th Asia and South Pacific Design Automation Conference (ASP-DAC)
,
2025
Paper
Slide
LINK
170
Leveraging Machine Learning Techniques for Traditional EDA Workflow Enhancement
Jinoh Cho, Jaekyung Im, Jaeseung Lee, Kyungjun Min, Seonghyeon Park, Jaemin Seo, Jongho Yoon, and Seokhyeong Kang
30th Asia and South Pacific Design Automation Conference (ASP-DAC)
,
2025
Paper
Slide
LINK
169
PC-Opt: Partition and Conquest-based Optimizer using Multi-Agents for Complex Analog Circuits
Youngchang Choi, Sejin Park, Ho-jin Lee, Kyongsu Lee, Jae-Yoon Sim, and Seokhyeong Kang
30th Asia and South Pacific Design Automation Conference (ASP-DAC)
,
2025
Paper
Slide
LINK
2024
168
Improving Timing & Power Trade-off in Post-place Optimization Using Multi-agent Reinforcement Learning
Jaemin Seo, Sejin Park, and Seokhyeong Kang
ACM/IEEE International Conference on Computer-Aided Design (ICCAD)
,
2024
Paper
Slide
LINK
167
RL-Fill: Timing-Aware Fill Insertion Using Reinforcement Learning
Jinoh Cho, Seonghyeon Park, Jakang Lee, Sung-Yun Lee, Jinmo Ahn, and Seokhyeong Kang
ACM/IEEE International Conference on Computer-Aided Design (ICCAD)
,
2024
Paper
Slide
LINK
166
TA3D: Timing-Aware 3D IC Partitioning and Placement by Optimizing the Critical Path
Donggyu Kim, Minjae Kim, Junseok Hur, Jakang Lee, Jinoh Cho, and Seokhyeong Kang
ACM/IEEE International Symposium on Machine Learning for CAD (MLCAD)
,
2024
Paper
Slide
LINK
165
RL-PTQ: RL-based Mixed Precision Quantization for Hybrid Vision Transformers
Eunji Kwon, Minxuan Zhou, Weihong Xu, Tajana Rosing and Seokhyeong Kang
ACM/IEEE Design Automation Conference (DAC)
,
2024
Paper
Slide
LINK
164
SkyPlace: A New Mixed-size Placement Framework using Modularity-based Clustering and SDP Relaxation
Jaekyung Im and Seokhyeong Kang
ACM/IEEE Design Automation Conference (DAC)
,
2024
Paper
Slide
LINK
163
PPA-Relevant Clustering-Driven Placement for Large-Scale VLSI Designs
Andrew B. Kahng, Seokhyeong Kang, Sayak Kundu, Kyungjun Min, Seonghyeon Park and Bodhisatta Pramanik
ACM/IEEE Design Automation Conference (DAC)
,
2024
Paper
Slide
LINK
162
HiLight: A Comprehensive Framework for High-Performance and Lightweight Scalability in Surface Code Communication
Sunghye Park, Dohun Kim, and Seokhyeong Kang
ACM/IEEE Design Automation Conference (DAC)
,
2024
Paper
Slide
LINK
161
Quantum Neural Simulated Annealing for Combinatorial Optimization
Seongbin Kwon, Dohun Kim, Sunghye Park, Seojeong Kim, and Seokhyeong Kang
25th International Symposium on Quality Electronic Design (ISQED)
,
2024
Paper
LINK
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