- Deep learning SoC
- Multicore Processor Architecture
2021. 9 ~ Ph.D. Student in EE, Korea Advanced Insititue of Science and Technology (KAIST)
2021. 8 M.S. in EE, Korea Advanced Insititue of Science and Technology (KAIST)
2019. 8 B.S. in EE, Korea Advanced Insititue of Science and Technology (KAIST)
2015. 2 Chungnam Science High School
- International Journal Papers
An Energy-Efficient GAN Accelerator with On-Chip Training for Domain Specific Optimization
Soyeon Kim, Sanghoon Kang, Donghyeon Han, Sangjin Kim, Sangyeob Kim, and Hoi-Jun Yoo
IEEE Journal of Solid-State Circuits (JSSC), Jul. 2021
A 64.1mW Accurate Real-time Visual Object Tracking Processor with Spatial Early Stopping on Siamese Network
Soyeon Kim, Sangjin Kim, Sangyeob Kim, Donghyeon Han, and Hoi-Jun Yoo
IEEE Transactions on Circuits and Systems II (TCAS-II), Mar. 2021
- International Conference Papers
IEEE International Symposium on Circuit and Systems (ISCAS), May. 2021
An Energy-Efficient GAN Accelerator with On-chip Training for Domain Specific Optimization
Soyeon Kim, Sanghoon Kang, Donghyeon Han, Sangyeob Kim, Sangjin Kim, and Hoi-jun Yoo
Asian Solid-State Circuits Conference (ASSCC), Nov. 2020
- Computing-In-Memory Processor
- Deep Learning SoC
- Neuromorphic Hardware
2020. 2 B.S. in EE, Korea Advanced Insititue of Science and Technology (KAIST)
2015. 2 Hansung Science High School
LOG-CIM: An Energy-Efficient Logarithmic Quantization Computing-In-Memory Processor with Exponential Parallel Data Mapping and Zero-Aware 6T Dual-WL Cell
A 3.8-mW 1.9-mΩ/√Hz Electrical Impedance Tomography IC with High Input Impedance and Loading Effect Calibration for 3-D Early Breast Cancer Detect System
A 43.1TOPS/W Energy-Efficient Absolute-Difference-Accumulation Operation Computing-In-Memory with Computation Reuse
Soyeon Um, Sangyeob Kim, Sangjin Kim, and Hoi-Jun Yoo
LOG-CIM: A 116.4 TOPS/W Digital Computing-In-Memory Processor Supporting a Wide Range of Logarithmic Quantization with Zero-Aware 6T Dual-WL Cell
Soyeon Um, Sangjin Kim, Seongyon Hong, Sangyeob Kim, and Hoi-Jun Yoo
IEEE Asian Solid-State Circuits Conference (A-SSCC), Nov. 2023
A 3.8 mW 1.9 mΩ/√Hz Electrical Impedance Tomography Imaging with 28.4 MΩ High Input Impedance and Loading Calibration
Soyeon Um, Jaehyuk Lee, and Hoi-Jun Yoo
IEEE European Solid-State Circuits Conference (ESSCIRC), Sep. 2023
- Processing In Memory
- AI Algorithm
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
- Computer Vision System on Chip
- Hardware-friendly Computer Vision Algorithm
2022. 3 ~ Ph.D. Student in EE, Korea Advanced Insititue of Science and Technology (KAIST)
2022. 2 M.S. Student in EE, Korea Advanced Insititue of Science and Technology (KAIST)
2015. 2 Changwon Science High School
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
NeuGPU: A Neural Graphics Processing Unit for Instant Modeling and Real-Time Rendering on Mobile AR/VR Devices
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
- Deep Learning Processor
- Machine Learning Algorithms
2022. 9 ~ Ph.D. Student in EE, Korea Advanced Insititue of Science and Technology (KAIST)
2022. 8 M.S. in EE, Korea Advanced Insititue of Science and Technology (KAIST)
2020. 8 B.S. in EE, Korea Advanced Insititue of Science and Technology (KAIST)
2017. 2 Gyeonggi Science High School
BROCA: A 52.4-559.2mW Mobile Social Agent System-on-Chip with Adaptive-Bit-Truncate Unit and Acoustic-Cluster Bit-Grouping
NeRPIM: A 4.2 mJ/frame Neural Rendering Processing-in-memory Processor with Space Encoding Block-wise Mapping for Mobile Devices
Wooyoung Jo, Sangjin Kim, Juhyoung Lee, Donghyeon Han, Sangyeob Kim, Seungyoon Choi and Hoi-Jun Yoo
IEEE Symposium on VLSI Circuits (S. VLSI), Apr. 2023
A 161.6 TOPS/W Mixed-Mode Computing-in-Memory Processor for Energy-Efficient Mixed-Precision Deep Neural Networks
Wooyoung Jo, Sangjin Kim, Juhyoung Lee, Soyeon Um, Zhiyong Li, and Hoi-Jun Yoo
IEEE International Symposium on Circuits and Systems (ISCAS), May. 2022
An Energy-Efficient Deep Reinforcement Learning FPGA Accelerator for Online Fast Adaptation with Selective Mixed-Precision Re-Training
Wooyoung Jo, Juhyoung Lee, Seunghyun Park, and Hoi-Jun Yoo
Asian Solid-State Circuits Conference (ASSCC), Nov. 2021
2021. 3 ~ M.S. Student in EE, Korea Advanced Insititue of Science and Technology (KAIST)
2021. 2 B.S. in EE, Korea Advanced Insititue of Science and Technology (KAIST)
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
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
- Processing-In-Memory (PIM)
- Memory Subsystems
- Deep Learning SoC Design
2024. 3~ Ph.D. Student in EE, Korea Advanced Insititue of Science and Technology (KAIST)
2020. 8 B.S. in EE, Korea University
2015. 2 Haedong High School
A 36.2 dB High SNR and PVT/Leakage-robust eDRAM Computing-In-Memory Macro with Segmented BL and Reference Cell Array
Sangwoo Ha, Sangjin Kim, Donghyeon Han, Soyeon Um, and Hoi-Jun Yoo
Cache-PIM: An ECC-compatible eDRAM-PIM for Last-Level Cache with Resolution-aware Single-Cycle Voting
Sangwoo Ha, Soyeon Um, Sangjin Kim, Kyomin Sohn and Hoi-Jun Yoo
IEEE European Solid-State Electronics Research Conference (ESSERC), Sep. 2024
- Deep Learning pocessor
2023. 9 ~ Ph.D. Student in EE, Korea Advanced Insititue of Science and Technology (KAIST)
2023. 8 M.S. Student in EE, Korea Advanced Insititue of Science and Technology (KAIST)
2021. 8 B.S. in EE, Korea Advanced Insititue of Science and Technology (KAIST)
2017. 2 Gyeonggi-Buk Science High School
A 5.99 TFLOPS/W Heterogeneous CIM-NPU Architecture for an Energy Efficient Floating-Point DNN Acceleration
Wonhoon Park, Junha Ryu, Sangjin Kim, Soyeon Um, Wooyoung Jo, Sangyeob Kim, and Hoi-Jun Yoo
IEEE International Symposium on Circuits and Systems (ISCAS), May. 2023
An Efficient Unsupervised Learning-based Monocular Depth Estimation Processor with Partial-Switchable Systolic Array Architecture in Edge Devices
Wonhoon Park, Dongseok Im, Hankyul Kwon, and Hoi-Jun Yoo
Asian Solid-State Circuits Conference (ASSCC), Nov. 2022
- Deep Learning Accelerator
- Efficient Deep Learning Algorithm
2023.9 ~ Ph.D. Student in EE, Korea Advanced Institute of Science and Technology (KAIST)
2023.8 M.S. Student in EE, Korea Advanced Institute of Science and Technology (KAIST)
2022.2 B.S in EE, Korea Advanced Insititue of Science and Technology (KAIST)
2018.2 Hansung Science High School
Dyamond: A 1T1C DRAM In-memory Computing Accelerator with Compact MAC-SIMD and Adaptive Column Addition Dataflow
Seongyon Hong, Wooyoung Jo, Sangjin Kim, Sangyeob Kim, Kyomin Sohn, and Hoi-Jun Yoo
IEEE Symposium on VLSI Circuits (S. VLSI), June. 2024
DualNet: Efficient Integration of Artificial Neural Network and Spiking Neural Network with Equivalent Conversion
Seongyon Hong, Sangyeob Kim, Soyeon Kim, and Hoi-Jun Yoo
IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS), April. 2024
A 332 TOPS/W Input/Weight-Parallel Computing-in-Memory Processor with Voltage-Capacitance-Ratio Cell and Time-Based ADC
Seongyon Hong, Soyeon Um, Sangjin Kim, Sangyeob Kim, Wooyoung Jo, and Hoi-Jun Yoo
- PIM
2021.8 B.S in EE, Korea Aerospace University (KAU)
2017.2 Bucheon Girls High School
NeRF-Navi: A 93.6-202.9μJ/task Switchable Approximate-Accurate NeRF Path Planning Processor with Dual Attention Engine and Outlier Bit-Offloading Core
Seryeong Kim, Seokchan Song, Wonhoon Park, Junha Ryu, Sangyeob Kim, Gwangtae Park, Soyeon Kim, and Hoi-Jun Yoo
IEEE Symposium on VLSI Circuits (S. VLSI), April. 2024
A Reconfigurable 1T1C eDRAM-based Spiking Neural Network Computing-in-Memory Processor for High System-Level Efficiency
Seryeong Kim, Soyeon Kim, Soyeon Um, Sangjin Kim, Zhiyong Li, Sangyeob Kim, Wooyoung Jo, and Hoi-Jun Yoo
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