Sungyeob Yoo

Sungyeob Yoo, Seeyeon Kim, Joonyong Park, Seunghee Han, and Joo-Young Kim, "APT: Accelerating Diffusion Transformers via Attention Probability-Guided Pruning and Quantization," IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 2026

Seeyeon Kim, Jaehun Lee, Sungyeob Yoo, and Joo-Young Kim, "MASQ: Accelerating Masked Diffusion via Stage-Wise Multi-Precision Quantization," ACM/IEEE Design Automation Conference (DAC), 2026

• [Paper]

Sungyeob Yoo, Seeyeon Kim, Geonwoo Ko, Seri Ham, Yi Chen, and Joo-Young Kim, "An End-to-End Diffusion Accelerator with Reconfigurable Hyper-Precision and Unified Non-Matrix Processing Engine," IEEE Transactions on Circuits and Systems I: Regular Papers, 2025

• [Paper]

Geonwoo Ko*, Sungyeob Yoo*, Seri Ham, Seeyeon Kim, Minkyu Kim, and Joo-Young Kim, "SuFP: Piecewise Bit Allocation Floating-Point for Robust Neural Network Quantization," Transactions on Machine Learning Research (TMLR), 2025 (*equal contribution)

• [Paper]

Sungyeob Yoo, Geonwoo Ko, Seri Ham, Seeyeon Kim, Yi Chen, and Joo-Young Kim, "Picasso: An Area/Energy-Efficient End-to-End Diffusion Accelerator with Hyper-Precision Data Type," Hot Chips: A Symposium on High Performance Chips (HOTCHIPS), Aug. 2024

• [Paper]

Sungyeob Yoo, Geonwoo Ko, Seri Ham, Seeyeon Kim, Yi Chen, and Joo-Young Kim, "A 28nm 4.96 TOPS/W End-to-End Diffusion Accelerator with Reconfigurable Hyper-Precision and Unified Non-Matrix Processing Engine," European Solid-State Electronics Research Conference (ESSERC), Sep. 2024

• [Paper]

Ji-Hoon Kim, Sungyeob Yoo, and Joo-Young Kim, "South Korea’s Nationwide Effort for AI Semiconductor Industry," Communications of the ACM, Vol. 66, No. 7, 2023

• [Paper]

Sungyeob Yoo*, Hyunsung Kim*, Jinseok Kim, Sunghyun Park, Joo-Young Kim, and Jinwook Oh, "LightTrader: A Standalone High-Frequency Trading System with Deep Learning Inference Accelerators and Proactive Scheduler," IEEE International Symposium on High-Performance Computer Architecture (HPCA), Feb. 2023 (*equal contribution)

• [Paper]

Hyunsung Kim*, Sungyeob Yoo*, Jaewan Bae, Kyeongryeol Bong, Yoonho Boo, Karim Charfi, Hyo-Eun Kim, Hyun Suk Kim, Jinseok Kim, Byungjae Lee, Jaehwan Lee, Myeongbo Shim, Sungho Shin, Jeong Seok Woo, Joo-Young Kim, Sunghyun Park, and Jinwook Oh, "LightTrader: World’s First AI-enabled High-Frequency Trading Solution with 16 TFLOPS / 64 TOPS Deep Learning Inference Accelerators," Hot Chips: A Symposium on High Performance Chips (HOTCHIPS), Aug. 2022 (*equal contribution)

• [Paper]

Jung-Hoon Kim, Sukjin Lee, Seungjae Moon, Sungyeob Yoo, and Joo-Young Kim, "A 409.6 GOPS 204.8 GFLOPS Mixed-Precision Vector Processor System for General-Purpose Machine Learning Acceleration," IEEE Asian Solid-State Circuits Conference (A-SSCC), Nov. 2022

• [Paper]

Jung-Hoon Kim*, Sungyeob Yoo*, Seungjae Moon, and Joo-Young Kim, "Exploration of Systolic-Vector Architecture with Resource Scheduling for Dynamic ML Workloads," arXiv, 2022 (*equal contribution)

• [Paper]

Sungyeob Yoo, Jung-Hoon Kim, and Joo-Young Kim, "A Heterogeneous Vector-Array Architecture with Resource Scheduling for Multi-User/Multi-DNN Workloads," Architecture, Compiler, and System Support for Multi-model DNN Workloads (ACSMD) Workshop, Sep. 2021 (MICRO Workshop)

Programming Languages: SystemVerilog, Verilog, Python, C/C++

ML Model Analysis: Model Profiling, Exploiting Quantization, Sparsity.

EDA Tools (ASIC Design): Synopsys DC/ICC2, Cadence Virtuoso

FPGA Tools: Xilinx Vivado/Vitis

Grand Prize, Korea Information Processing Society (KIPS) Spring Conference, 2019

Excellence Award, K-ICT Smart Device Hackathon, 2017

1st Prize, Ajou University College of Information and Communication Engineering Academic Festival, 2017

Honorable Mention, Ajou University Idea Competition, 2014

Silver Prize, Ajou University College of Information and Communication Engineering Academic Festival, 2013

Yulgok Scholarship, Ajou University, Spring 2014, Spring 2018, Spring 2019, Fall 2019

Dasan Scholarship, Ajou University, Spring 2013