Current member
CAD & SoC Design Laboratory

Current member

Jongho Yoon

Postdoctoral Researcher at EE, POSTECH from 2026

  •   Tel : +82-54-279-5587
  •   Location : Science Building II 402, 77 Cheongam-Ro. Nam-Gu. Pohang. Gyeongbuk. Korea 37673
  •   Email : jh.yoon@postech.ac.kr

Education

  • MS-Ph.D. from EE, POSTECH, Pohang (Mar. 2021 - Feb. 2026)
  • BS. from EE, POSTECH, Pohang (Mar. 2017 - Feb. 2021)
M
T
G
Y
음성 기능은 200자로 제한됨
옵션 : 역사 : 닫기

Journal Articles

  • Eunji Kwon, Jongho Yoon, and Seokhyeong Kang, "Mobile Transformer Accelerator Exploiting Various Line Sparsity and Tile-based Dynamic Quantization", in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2024.
  • Jongho Yoon, Seunghan Baek, Sunmean Kim, and Seokhyeong Kang, “Optimizing Ternary Multiplier Design with Fast Ternary Adder”, IEEE Transactions on Circuits and Systems II: Express Briefs (TCAS-II), 2023.
  • Eunji Kwon, Sodam Han, Yoonho Park, Jongho Yoon, and Seokhyeong Kang, "Reinforcement Learning-Based Power Management Policy for Mobile Device Systems", IEEE Transactions on Circuits and Systems I: Regular Papers (TCAS-I), 2021.

Conference Paper

  • Jongho Yoon, Jinsung Jeon and Seokhyeong Kang, “Late Breaking Results: A Geometric Diffusion Model for Macro Placement Generation”, in 62th ACM/IEEE Design Automation Conference (DAC), 2025.
  • Jongho Yoon, Jakang Lee, Donggyu Kim, Junseok Hur, and Seokhyeong Kang, “ParaFormer: A Hybrid Graph Neural Network and Transformer Approach for Pre-Routing Parasitic RC Prediction”, in Asia and South Pacific Design Automation Conference (ASP-DAC), 2025.
  • Jinoh Cho, Jaekyung Im, Jaeseung Lee, Kyungjun Min, Seonghyeon Park, Jaemin Seo, Jongho Yoon, and Seokhyeong Kang, ”Leveraging Machine Learning Techniques to Enhance Traditional EDA Workflows”, in Asia and South Pacific Design Automation Conference (ASP‐DAC), 2025.
  • Haena Song, Jongho Yoon, Dohun Kim, Eunji Kwon, Tae Hyeon Oh, and Seokhyeong Kang, "FPGA-Based Accelerator for Rank-Enhanced and Highly-Pruned Block-Circulant Neural Networks", in Design, Automation & Test in Europe Conference & Exhibition (DATE), 2023.
  • Dongyun Kam, Jung Gyu Min, Jongho Yoon, Sunmean Kim, Seokhyeong Kang, and Youngjoo Lee, "Design and Evaluation Frameworks for Advanced RISC-based Ternary Processor", in Design, Automation & Test in Europe Conference & Exhibition (DATE), 2022
  • Seunggyu Lee, Jongho Yoon, Jakang Lee, and Seokhyeong Kang, "Giga-sample Data Acquisition Method for High-speed DDR5 SDRAM", in 18th International SoC Design Conference (ISOCC), 2021.
M
T
G
Y
음성 기능은 200자로 제한됨
옵션 : 역사 : 닫기

Awards/Contests

  • Honorable mention in the ISPD Contest 2020 - Wafer-Scale Deep Learning Accelerator Placement
  • Best Poster Award from 2021 28th KCS (in Korea) - Q-learning-based Power Management for Mobile Systems