SeongHyeon Park

26 papers A* 4A 6B 2Journal 8Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Efficient Epistemic Uncertainty Estimation for Large Language Models via Knowledge Distillation. CoRR SeongHyeon Park, Je Won Yeom, Jaewon Sok, Jeongjae Park, Heejun Kim, Taesup Kim
2026	J	`jnl`	EpiCaR: Knowing What You Don't Know Matters for Better Reasoning in LLMs. CoRR Je Won Yeom, Jaewon Sok, SeongHyeon Park, Jeongjae Park, Taesup Kim
2026	J	`jnl`	Garbage Attention in Large Language Models: BOS Sink Heads and Sink-aware Pruning. CoRR Jaewon Sok, Je Won Yeom, SeongHyeon Park, Jeongjae Park, Taesup Kim
2026	—	`conf`	Invited: Post-Placement Buffering and Sizing Contest. ISPD Andrew B. Kahng, Seokhyeong Kang, Sayak Kundu, Yiting Liu, Davit Markarian, SeongHyeon Park, Zhiang Wang
2025	J	`jnl`	ArtNet: Hierarchical Clustering-Based Artificial Netlist Generator for ML and DTCO Application. CoRR Andrew B. Kahng, Seokhyeong Kang, SeongHyeon Park, Dooseok Yoon
2025	—	`conf`	Development and Analysis of Multi-WPAN Protocol-Based IoT Network Implementation. ICAIIC SeongHyeon Park, Suk Chan Kim
2025	A*	`conf`	FedEDA: Federated Learning Framework for Privacy-Preserving Machine Learning in EDA. DAC Joonseok Kim, Donggyu Kim, SeongHyeon Park, Seokhyeong Kang
2025	A	`conf`	Improving LLM-Based Verilog Code Generation with Data Augmentation and RL. DATE Kyungjun Min, SeongHyeon Park, Hyeonwoo Park, Jinoh Cho, Seokhyeong Kang
2025	A*	`conf`	Late Breaking Results: Fine-Tuning LLMs for Test Stimuli Generation. DAC Hyeonwoo Park, SeongHyeon Park, Seokhyeong Kang
2025	—	`conf`	Leveraging Machine Learning Techniques for Traditional EDA Workflow Enhancement. ASP-DAC Jinoh Cho, Jaekyung Im, Jaeseung Lee, Kyungjun Min, SeongHyeon Park, Jaemin Seo, Jongho Yoon, Seokhyeong Kang
2024	B	`conf`	AI-Based Mental Health Assessment for Adolescents Using Their Daily Digital Activities. DSAA Do Hyung Kim, Joonsung Lee, Taehwi Lee, Soeun Baek, Seonghyun Jin, Haeun Yoo, Youngeun Cho, SeongHyeon Park, Kwangsu Cho, Chang-Gun Lee
2024	A*	`conf`	PPA-Relevant Clustering-Driven Placement for Large-Scale VLSI Designs. DAC Andrew B. Kahng, Seokhyeong Kang, Sayak Kundu, Kyungjun Min, SeongHyeon Park, Bodhisatta Pramanik
2024	A	`conf`	RL-Fill: Timing-Aware Fill Insertion using Reinforcement Learning. ICCAD Jinoh Cho, SeongHyeon Park, Jakang Lee, Sung-Yun Lee, Jinmo Ahn, Seokhyeong Kang
2023	—	`conf`	Invited: Acceleration on Physical Design: Machine Learning-based Routability Optimization. SLIP SeongHyeon Park, Daeyeon Kim, Seokhyeong Kang
2023	A	`conf`	Multi-Source Transfer Learning for Design Technology Co-Optimization. ISLPED Jakang Lee, Jaeseung Lee, SeongHyeon Park, Seokhyeong Kang
2023	A	`conf`	RL-Legalizer: Reinforcement Learning-based Cell Priority Optimization in Mixed-Height Standard Cell Legalization. DATE Sung-Yun Lee, SeongHyeon Park, Daeyeon Kim, Minjae Kim, Tuyen Pham Le, Seokhyeong Kang
2023	A	`conf`	Routability Prediction and Optimization Using Explainable AI. ICCAD SeongHyeon Park, Daeyeon Kim, Seongbin Kwon, Seokhyeong Kang
2022	A	`conf`	Guaranteeing Safety Despite Physical Errors in Cyber-Physical Systems. RTAS Jongwoo Han, SeongHyeon Park, Haejoo Jeon, Chang-Gun Lee
2021	J	`jnl`	A real-time high-speed autonomous driving based on a low-cost RTK-GPS. J. Real Time Image Process. SeongHyeon Park, Seokhoon Ryu, Jihea Lim, Young-Sup Lee
2021	A*	`conf`	LaPred: Lane-Aware Prediction of Multi-Modal Future Trajectories of Dynamic Agents. CVPR ByeoungDo Kim, SeongHyeon Park, Seokhwan Lee, Elbek Khoshimjonov, Dongsuk Kum, Junsoo Kim, Jeong Soo Kim, Jun Won Choi
2021	J	`jnl`	LaPred: Lane-Aware Prediction of Multi-Modal Future Trajectories of Dynamic Agents. CoRR ByeoungDo Kim, SeongHyeon Park, Seokhwan Lee, Elbek Khoshimjonov, Dongsuk Kum, Junsoo Kim, Jeong Soo Kim, Jun Won Choi
2021	—	`conf`	ROS2 Extension of Functionally and Temporally Correct Real-Time Simulation of Cyber Systems for Automotive Systems. ISEEIE SeongHyeon Park, Jin Choi, Sunjun Hwang, Chang-Gun Lee
2019	—	`conf`	Practical Multicore Extension of Functionally and Temporally Correct Real-Time Simulation for Automotive Systems. CyPhy/WESE Wonseok Lee, Jaehwan Jeong, SeongHyeon Park, Chang-Gun Lee
2019	J	`jnl`	ScarfNet: Multi-scale Features with Deeply Fused and Redistributed Semantics for Enhanced Object Detection. CoRR Jin Hyeok Yoo, SeongHyeon Park, Jun Won Choi
2018	B	`conf`	Sequence-to-Sequence Prediction of Vehicle Trajectory via LSTM Encoder-Decoder Architecture. Intelligent Vehicles Symposium SeongHyeon Park, Byeongdo Kim, Chang Mook Kang, Chung Choo Chung, Jun Won Choi
2018	J	`jnl`	Sequence-to-Sequence Prediction of Vehicle Trajectory via LSTM Encoder-Decoder Architecture. CoRR SeongHyeon Park, Byeongdo Kim, Chang Mook Kang, Chung Choo Chung, Jun Won Choi