CV
General Information
| Name | Hyunwuk Lee |
| Contact | hyunwulee0519[at]gmail[dot]com |
| Languages | Korean (native), English (fluent) |
Academic Projects
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Neural Network Accelerators
- Complex Valued Neural Networks [First author, MICRO 2023], [First author, DAC 2025]
- Large Language Models [Co-author, ICCD 2024]
- Diffusion Models [Co-First-author, HPCA 2025][arXiv], [Co-author, On-going]
- Vision Language Action Models [First-author, On-going]
- Bit Serial Accelerator [Co-author, MICRO 2025]
- Data Format for Neural Network [Co-author, Accepted in ISCA2026]
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GPU and GPU Memory Systems
- Unified Memory Systems [Co-author, ISPASS 2023]
- GPU Register Files [Co-author, JSA, Patent] [Co-author, ISLPED 2024]
- Multi-GPU Data Transfer [Co-author, Under Review] [Co-author, JSA]
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Systems for Machine Learning
- Super-Resolution AI Model Acceleration in Mobile SoC [Co-author, Accepted in ISCA2026]
- Multi-Core Accelerator Scheduling [Co-author, JSA]
- Processing in Memory for Sparse DNN [Co-author, Under Review]
- CXL-PNM for Large Language Models [First-author, On-going]
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Others
- Approximate Memory for Neural Networks [US Patent]
- Analytic Model for Multi-Core Systems [Co-author, ISPASS 2025]
- Diffusion Models [Co-author, ICCV 2025]
Education
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2018 - 2024 Integrated Master and Ph.D. Degree in Computer Architecture
- Yonsei University, Korea
- Advised by Won Woo Ro
- Embedded Systems and Computer Architecture Lab (eSCaL)
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2014-2018 B.S. in Electrical and Electronic Engineering
- Yonsei University, Korea
- Advised by Won Woo Ro
Publication
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ISCA 2026 SLICE: A Selective Local Inference Framework with Codec Exploitation for Accelerating Video Super-Resolution (Accepted)
Mingu Jung, Sungbin Kim, Seunghyun Lee, Seunghyun Jin, Hyunwuk Lee, and Won Woo Ro -
ISCA 2026 MXFFP: Microscaling Flexible Floating Point Format for Large-Scale AI Model Acceleration (Accepted)
Sungwoo Kim, Sungbin Kim, Dongho Ha, Hyunwuk Lee, Junsung Kim, Seunghyun Lee, Mingu Jung, Murali Annavaram, and Won Woo Ro -
JSA 2026 DeSpa: Heterogeneous multi-core accelerators for energy-efficient dense and sparse computation at the tile level in Deep Neural Networks [PDF]
Hyungjun Jang, Dongho Ha, Hyunwuk Lee, and Won Woo Ro -
MICRO 2025 BitL: Hybrid Bit-Serial and Parallel Processing for Critical Path Reduction [PDF]
Seunghyun Lee, Dongho Ha, Sungbin Kim, Sungwoo Kim, Hyunwuk Lee, and Won Woo Ro -
ICCV 2025 Adversarial Purification via Super-Resolution and Diffusion [PDF]
Mincheol Park, Cheonjun Park, Seungseop Lim, Mijin Koo, Hyunwuk Lee, Won Woo Ro, and Suhyun Kim -
ISPASS 2025 COSMOS: An LLC Contention Slowdown Model for Heterogeneous Multi-core Systems [PDF]
Yongju Lee, Jaewon Kwon, Cheolhwan Kim, Enhyeok Jang, Jiwon Lee, Hyunwuk Lee, and Won Woo Ro -
DAC 2025 CVMAX: Accelerator Architecture with Polar Form Multiplication for Complex-Valued Neural Networks [PDF]
Hyunwuk Lee, Sungbin Kim, Sungwoo Kim, and Won Woo Ro -
JSA 2025 REC: Enhancing fine-grained cache coherence protocol in multi-GPU systems [PDF]
Gun Ko, Jiwon Lee, Hongju Kal, Hyunwuk Lee, and Won Woo Ro -
ICCD 2024 AirGun: Adaptive Granularity Quantization for Accelerating Large Language Models [PDF]
Sungbin Kim, Hyunwuk Lee, Sungwoo Kim, Cheolhwan Kim, and Won Woo Ro -
ISLPED 2024 GUMSO: Gating Unnecessary On-Chip Memory Slices for Power Optimization on GPUs [PDF]
Seunghyun Jin, Hyunwuk Lee, and Won Woo Ro -
JSA 2024 SHREG: Mitigating Register Redundancy in GPUs [PDF]
Seunghyun Jin, Hyunwuk Lee, Jonghyun Lee, Junsung Kim, and Won Woo Ro -
MICRO 2023 Exploiting Inherent Properties of Complex Numbers for Accelerating Complex Valued Neural Networks [PDF]
Hyunwuk Lee, Hyungjun Jang, Sungbin Kim, Sungwoo Kim, Wonho Cho, and Won Woo Ro -
ISPASS 2023 Early-Adaptor: An Adaptive Framework for Proactive UVM Memory Management [PDF]
Seokjin Go, Hyunwuk Lee, Junsung Kim, Jiwon Lee, Myung Kuk Yoon, and Won Woo Ro
Professional Experience
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Fall 2024 - System Architect
Samsung Electronic, Korea (Solution Platform Development) -
Spring 2018 Teaching Assistant
Yonsei University, Korea (EEE3530: computer architecture) -
2017 Research Intern
eSCaL at Yonsei University, Korea
Honors and Awards
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2025 Samsung Industry-Academic Research Project Paper Awards
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2021 SK Hynix Industry-Academic Research Project Outstanding Invention
Industry Project
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2024 Memory-Centric Architecture using the Reconfigurable PIM Devices
Institute for Information & communication Technology Planning & evaluation (IITP), Korea -
2022-2024 Developing Data Processing Unit for AI Workloads
Korea Evaluation Institute of Industrial Technology (KEIT), Korea -
2021-2022 Analysis on High Performance GPU Workloads and Architecture Design
Samsung Advanced Institute of Technology, Korea -
2021-2022 Development of High Performance Multi-GPU Memory System
National Research Foundation of Korea (NRF) , Korea -
2020-2024 Architectural Exploration of Parallel Execution Processing Units for Supercomputer CPU
National Research Foundation of Korea (NRF), Korea -
2018-2019 Performance Analysis of Neural Network Workloads and Development of Energy Efficient Approximate Memory for Neural Networks
SK Hynix, Korea
Patents
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Memory device including a plurarity of area having different refresh periods, memory controller controlling the same and memory system including the same
- US Patent No. 11276452, Korea Application 10-2020-0045023
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Apparatus and method with register sharing
- US Patent No. 12298901, Korea Application 10-2022-0074653
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A method for neural network processing including memory-optimization techniques
- Korea Application 10-2022-0041848
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Memory management unit and method of walking page table
- US Patent No. 12450164, Korea Application 10-2022-0175909
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Memory management apparatus and method for UVM
- Korea Application 10-2023-0076606
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Polar Form Aware Apparatus and Method for Complex Valued Neural Network and Rectangular Form Conversion Apparatus
- Korea Application 10-2023-0158538