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2020 – today
- 2026
[i4]Je Won Yeom, Jaewon Sok, Seonghyeon Park, Jeongjae Park, Taesup Kim:
EpiCaR: Knowing What You Don't Know Matters for Better Reasoning in LLMs. CoRR abs/2601.06786 (2026)- [i3]Jaewon Sok, Je Won Yeom, Seonghyeon Park, Jeongjae Park, Taesup Kim:
Garbage Attention in Large Language Models: BOS Sink Heads and Sink-aware Pruning. CoRR abs/2601.06787 (2026) - [i2]Seonghyeon Park, Je Won Yeom, Jaewon Sok, Jeongjae Park, Heejun Kim, Taesup Kim:
Efficient Epistemic Uncertainty Estimation for Large Language Models via Knowledge Distillation. CoRR abs/2602.01956 (2026) - 2025
- [c15]Jinoh Cho
, Jaekyung Im, Jaeseung Lee, Kyungjun Min, Seonghyeon Park, Jaemin Seo, Jongho Yoon, Seokhyeong Kang:
Leveraging Machine Learning Techniques for Traditional EDA Workflow Enhancement. ASP-DAC 2025: 676-682 - [c14]Joonseok Kim, Donggyu Kim, Seonghyeon Park, Seokhyeong Kang:
FedEDA: Federated Learning Framework for Privacy-Preserving Machine Learning in EDA. DAC 2025: 1-7 - [c13]Hyeonwoo Park, Seonghyeon Park, Seokhyeong Kang:
Late Breaking Results: Fine-Tuning LLMs for Test Stimuli Generation. DAC 2025: 1-2 - [c12]Kyungjun Min, Seonghyeon Park, Hyeonwoo Park, Jinoh Cho, Seokhyeong Kang:
Improving LLM-Based Verilog Code Generation with Data Augmentation and RL. DATE 2025: 1-7 - [c11]Seonghyeon Park, Suk Chan Kim:
Development and Analysis of Multi-WPAN Protocol-Based IoT Network Implementation. ICAIIC 2025: 1163-1166 - [i1]Andrew B. Kahng, Seokhyeong Kang, Seonghyeon Park, Dooseok Yoon:
ArtNet: Hierarchical Clustering-Based Artificial Netlist Generator for ML and DTCO Application. CoRR abs/2510.13582 (2025) - 2024
- [c10]Andrew B. Kahng, Seokhyeong Kang, Sayak Kundu, Kyungjun Min, Seonghyeon Park, Bodhisatta Pramanik:
PPA-Relevant Clustering-Driven Placement for Large-Scale VLSI Designs. DAC 2024: 330:1-330:6 - [c9]Do Hyung Kim, Joonsung Lee, Taehwi Lee, Soeun Baek, Seonghyun Jin, Haeun Yoo, Youngeun Cho, Seonghyeon Park, Kwangsu Cho, Chang-Gun Lee:
AI-Based Mental Health Assessment for Adolescents Using Their Daily Digital Activities. DSAA 2024: 1-10 - [c8]Jinoh Cho, Seonghyeon Park, Jakang Lee, Sung-Yun Lee, Jinmo Ahn, Seokhyeong Kang:
RL-Fill: Timing-Aware Fill Insertion using Reinforcement Learning. ICCAD 2024: 189:1-189:8 - 2023
- [c7]Sung-Yun Lee, Seonghyeon Park, Daeyeon Kim, Minjae Kim, Tuyen Pham Le, Seokhyeong Kang:
RL-Legalizer: Reinforcement Learning-based Cell Priority Optimization in Mixed-Height Standard Cell Legalization. DATE 2023: 1-6 - [c6]Seonghyeon Park, Daeyeon Kim, Seongbin Kwon, Seokhyeong Kang:
Routability Prediction and Optimization Using Explainable AI. ICCAD 2023: 1-8 - [c5]Jakang Lee, Jaeseung Lee, Seonghyeon Park, Seokhyeong Kang:
Multi-Source Transfer Learning for Design Technology Co-Optimization. ISLPED 2023: 1-6 - [c4]Seonghyeon Park, Daeyeon Kim, Seokhyeong Kang:
Invited: Acceleration on Physical Design: Machine Learning-based Routability Optimization. SLIP 2023: 5:1-5:6 - 2022
- [c3]Jongwoo Han, Seonghyeon Park, Haejoo Jeon, Chang-Gun Lee:
Guaranteeing Safety Despite Physical Errors in Cyber-Physical Systems. RTAS 2022: 1-12 - 2021
- [j1]Seonghyeon Park, Seokhoon Ryu, Jihea Lim, Young-Sup Lee:
A real-time high-speed autonomous driving based on a low-cost RTK-GPS. J. Real Time Image Process. 18(4): 1321-1330 (2021) - [c2]Seonghyeon Park, Jin Choi, Sunjun Hwang, Chang-Gun Lee:
ROS2 Extension of Functionally and Temporally Correct Real-Time Simulation of Cyber Systems for Automotive Systems. ISEEIE 2021: 185-189
2010 – 2019
- 2019
- [c1]Wonseok Lee, Jaehwan Jeong, Seonghyeon Park, Chang-Gun Lee:
Practical Multicore Extension of Functionally and Temporally Correct Real-Time Simulation for Automotive Systems. CyPhy/WESE 2019: 127-152
Coauthor Index
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