- Deep learning SoC
- Computer vision
2024. 7 Ph.D. in EE, Korea Advanced Insititue of Science and Technology (KAIST)
2021. 2 M.S. in EE, Korea Advanced Insititue of Science and Technology (KAIST)
2019. 2 B.S. in EE, Korea Advanced Insititue of Science and Technology (KAIST)
2015. 2 Daejeon Science High School
-- International Journal Papers
An Artifical-Intelligence-based SLAM Processor with Scene-adaptive Sampling and Hybrid NeRF Model Training Acceleration
Gwangtae Park, Seokchan Song, Haoyang Sang, Dongseok Im, Donghyeon Han, Sangyeob Kim, Hongseok Lee, and Hoi-Jun Yoo
IEEE Transactions on Circuits and Systems for Artificial Intelligence (TCASAI), July. 2024
A 1.15 TOPS/W Energy-efficient Capsule Network Accelerator for Real-time 3D Point Cloud Segmentation in Mobile Environment
Gwangtae Park, Dongseok Im, Donghyeon Han, and Hoi-Jun Yoo
IEEE Transactions on Circuits and Systems II (TCAS-II), Jun. 2020
- International Conference Papers
Space-Mate: A 303.5mW Real-Time NeRF SLAM Processor with Sparse Mixture-of-Experts-based Acceleration
Gwangtae Park, Seokchan Song, Haoyang Sang, Dongseok Im, Donghyeon Han, Sangyeob Kim, Hongseok Lee, and Hoi-Jun Yoo
IEEE Symposium on High Performance Chips (HOT Chips), May. 2024
A Low-power and Real-time Neural-Rendering Dense SLAM Processor with 3-Level Hierarchical Sparsity Exploitation
Gwangtae Park, Seokchan Song, Haoyang Sang, Dongseok Im, Donghyeon Han, Sangyeob Kim, Hongseok Lee and Hoi-Jun Yoo
IEEE Symposium on Low-Power and High-Speed Chips (COOL Chips), Apr. 2024
Space-Mate: A 303.5mW Real-Time Sparse Mixture-of-Experts-Based NeRF-SLAM Processor for Mobile Spatial Computing
- Processing In Memory
- Deep Learning SoC
- AI Algorithm
2025. 7 Ph.D. in EE, Korea Advanced Insititue of Science and Technology (KAIST)
2018. 7 M.S. in IC Engineering, Tsinghua University
2015. 7 B.S. in Microelectronics, Shanghai Jiao Tong University
2011. 6 Shandong Liaocheng No.1 High School
- International Journal Papers
ED-MPIM: An Energy-Efficient Event-Driven Smart Vision SoC With High-Linearity and Reconfigurable MRAM PIM
Wenao Xie, Haoyang Sang, Beomseok Kwon, Dongseok Im, Sangjin Kim, Sangyeob Kim, Kangho Lee and Hoi-Jun Yoo
IEEE Journal of Solid-State Circuits (JSSC), Jun. 2025
- International Conference Papers
- Computer Vision System on Chip
- Hardware-friendly Computer Vision Algorithm
2025. 2 Ph.D. in EE, Korea Advanced Insititue of Science and Technology (KAIST)
2022. 2 M.S. in EE, Korea Advanced Insititue of Science and Technology (KAIST)
2020. 2 B.S. in EE, Korea Advanced Insititue of Science and Technology (KAIST)
2015. 2 Changwon Science High School
- International Journal Papers
An Overview of Neural Rendering Accelerators: Challenges, Trends, and Future Directions
Junha Ryu and Hoi-Jun Yoo
IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS), Apr. 2025
NeuGPU: An Energy-Efficient Neural Graphics Processing Unit for Instant Modeling and Real-Time Rendering on Mobile Devices
Junha Ryu, Hankyul Kwon, Wonhoon Park, Zhiyong Li, Beomseok Kwon, Donghyeon Han, Dongseok Im, Sangyeob Kim, Hyungnam Joo, Minsung Kim and Hoi-Jun Yoo
IEEE Journal of Solid-State Circuits (JSSC), Sep. 2024
A 0.82 μW CIS-Based Action Recognition SoC with Self-Adjustable Frame Resolution for Always-on IoT Devices
Junha Ryu, Gwangtae Park, Dongseok Im, Ji-Hoon Kim, and Hoi-Jun Yoo
IEEE Transactions on Circuits and Systems II (TCAS-II), Mar. 2021
- International Conference Papers
NeuGPU: A Neural Graphics Processing Unit for Instant Modeling and Real-Time Rendering on Mobile AR/VR Devices
Junha Ryu, Hankyul Kwon, Wonhoon Park, Zhiyong Li, Beomseok Kwon, Donghyeon Han, Dongseok Im, Sangyeob Kim, Hyungnam Joo, Minsung Kim and Hoi-Jun Yoo
IEEE Symposium on High Performance Chips (HOT Chips), May. 2024
A Low-Power Neural Graphics System for Instant 3D Modeling and Real-Time Rendering on Mobile AR/VR Devices
Junha Ryu, Hankyul Kwon, Wonhoon Park, Zhiyong Li, Beomseok Kwon, Donghyeon Han, Dongseok Im, Sangyeob Kim, Hyungnam Joo, Minsung Kim, and Hoi-Jun Yoo
IEEE Symposium on Low-Power and High-Speed Chips (COOL Chips), Apr. 2024
NeuGPU: A 18.5 mJ/Iter Neural-Graphics Processing Unit for Instant-Modeling and Real-Time Rendering with Segmented-Hashing Architecture
AI SoCs for AR/VR User-Interaction
Junha Ryu, Dongseok Im, and Hoi-Jun Yoo
IEEE International Electron Devices Meeting (IEDM), Dec. 2021
A 0.82 μW CIS-Based Action Recognition SoC with Self-Adjustable Frame Resolution for Always-on IoT Devices
Junha Ryu, Gwangtae Park, Dongseok Im, Ji-Hoon Kim, and Hoi-Jun Yoo
IEEE International Symposium on Circuit and Systems (ISCAS), May. 2021
- Deep Learning Processor
- Machine Learning Algorithms
2026. 2 Ph.D. in EE, Korea Advanced Insititue of Science and Technology (KAIST)
2023. 2 M.S. in EE, Korea Advanced Insititue of Science and Technology (KAIST)
2021. 2 B.S. in EE, Korea Advanced Insititue of Science and Technology (KAIST)
2017. 2 Gyeonggi Science High School
- International Journal Papers
IRIS: An Energy-Efficient Spatial Computing SoC for Real-Time Interactive Rendering and Modeling With Surface-Aware 3-D Gaussian Splatting
Seokchan Song, Seryeong Kim, Wonhoon Park, Jongjun Park, Sanghyuk An, Gwangtae Park, Minseo Kim and Hoi-Jun Yoo
IEEE Journal of Solid-State Circuits (JSSC), Oct. 2025
A 49.5 mW Multi-Scale Linear Quantized Online Learning Processor for Real-Time Adaptive Object Detection
Seokchan Song, Soyeon Kim, Gwangtae Park, Donghyeon Han, and Hoi-Jun Yoo
IEEE Transactions on Circuits and Systems II (TCAS-II), Mar. 2022
- International Conference Papers
An Energy-Efficient Spatial Computing SoC for Real-time Interactable-Rendering and Modeling with Surface-aware 3D Gaussian Splatting
Seokchan Song, Seryeong Kim, Wonhoon Park, Jongjun Park, Sanghyuk An, Gwangtae Park, Minseo Kim and Hoi-Jun Yoo
IEEE Symposium on High Performance Chips (HOT Chips), Aug. 2025
IRIS: A 8.55 mJ/frame Spatial Computing SoC for Interactable-Rendering and Surface-aware-Modeling with 3D Gaussian Splatting
GPPU: A 330.4-µJ/task Neural Path Planning Processor with Hybrid GNN Acceleration for Autonomous 3D Navigation
Seokchan Song, Donghyeon Han, Sangjin Kim, Sangyeob Kim, Gwangtae Park and Hoi-Jun Yoo
IEEE Symposium on VLSI Circuits (S. VLSI), Apr. 2023
A 49.5 mW Multi-Scale Linear Quantized Online Learning Processor for Real-Time Adaptive Object Detection
Seokchan Song, Soyeon Kim, Gwangtae Park, Donghyeon Han, and Hoi-Jun Yoo
IEEE International Symposium on Circuits and Systems (ISCAS), May. 2022
Address#1233, School of Electrical Engineering, KAIST, 291 Daehak-ro (373-1 Guseong-dong), Yuseong-gu, Daejeon 34141, Republic of Korea
Tel +82-42-350-8068 Fax +82-42-350-3410E-mail sslmaster@kaist.ac.kr·© SSL. All Rights Reserved.·Design by NSTAR
