- Multicore Processor Architecture
- Deep Learning Processor
- Intelligent 3D Vision SoC
2021. 3 ~ Ph.D. Student 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)
2014. 2 Gwangju Science High School
- International Journal Papers
A Low-Power Graph Convolutional Network Processor with Sparse Grouping for 3D Point Cloud Semantic Segmentation in Mobile Devices
Sangjin Kim, Sangyeob Kim, Juhyoung Lee, and Hoi-Jun Yoo
IEEE Transactions on Circuits and Systems I (TCAS-I), Jan. 2022
- International Conference Papers
Scaling-CIM: An eDRAM-based In-Memory-Computing Accelerator with Dynamic-Scaling ADC for SQNR-Boosting and Layer-wise Adaptive Bit-Truncation
Sangjin Kim, Soyeon Um, Wooyoung Jo, Jingu Lee, Sangwoo Ha, Zhiyong Li and Hoi-Jun Yoo
IEEE Symposium on VLSI Circuits (S. VLSI), Apr. 2023
DynaPlasia: An eDRAM In-Memory-Computing-Based Reconfigurable Spatial Accelerator with Triple-Mode Cell for Dynamic Resource Switching
Sangjin Kim, Zhiyong Li, Soyeon Um, Wooyoung Jo, Sangwoo Ha, Juhyoung Lee, Sangyeob Kim, and Hoi-Jun Yoo
IEEE International Conference on Solid-State Circuits (ISSCC), Feb. 2023
PNNPU: A Fast and Efficient 3D Point Cloud-based Neural Network Processor with Block-based Point Processing for Regular DRAM Access
Sangjin Kim, Juhyoung Lee, Dongseok Im, and Hoi-jun Yoo
IEEE Symposium on High Performance Chips (HOT Chips), Aug. 2021
PNNPU: A 11.9 TOPS/W High-speed 3D Point Cloud-based Neural Network Processor with Block-based Point Processing for Regular DRAM Access
Sangjin Kim, Juhyoung Lee, Dongseok Im, and Hoi-Jun Yoo
A 54.7 fps 3D Point Cloud Semantic Segmentation Processor with Sparse Grouping Based Dilated Graph Convolutional Network for Mobile Devices
Sangjin Kim, Sangyeob Kim, Juhyoung Lee, and Hoi-jun Yoo
IEEE International Symposium on Circuit and Systems (ISCAS), Oct. 2020
- Deep learning SoC
- Computer vision
2015. 2 Daejeon Science High School
-- International Journal Papers
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
Space-Mate: A 303.5mW Real-Time Sparse Mixture-of-Experts-Based NeRF-SLAM Processor for Mobile Spatial Computing
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
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
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
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
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
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
- 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
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 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
- 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
- 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
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
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
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
- Deep Learning SoC Design
- 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
- Processing-In-Memory (PIM)
- Neuromorphic
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
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
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
2022.3 ~ M.S. Student in EE, Korea Advanced Institute of Science and Technology (KAIST)
2022.2 B.S in EE, Sungkyunkwan University
2015.2 Daeryun High School
A 15.9 mW 96.5 fps Memory-Efficient 3D Reconstruction Processor with Dilation-based TSDF Fusion and Block-Projection Cache System
Hankyul Kwon, Gwangtae Park, Junha Ryu, Wooyoung Jo, and Hoi-Jun Yoo
2022. 3 ~ M.S. Student in EE, Korea Advanced Insititue of Science and Technology (KAIST)
2022. 2 B.S. in EE, Korea University
2016. 2 Ulsan Science High School
A 92 fps and 2.56 mJ/frame Computing-in-Memory-based Human Pose Estimation Accelerator with Resource-Efficient Macro for Mobile Devices
Beomseok Kwon, Zhiyong Li, Sangjin Kim, Wooyoung Jo, and Hoi-Jun Yoo
IEEE Transactions on Circuits and Systems II (TCAS-II), Mar. 2023
A 92 fps and 2.56 mJ/Frame Computing-in-Memory-Based Human Pose Estimation Accelerator with Resource-Efficient Macro for Mobile Devices
2022.8~ M.S. Student in EE, Korea Advanced Institute of Science and Technology (KAIST)
2022.7 B.S in Microelectronics, Sichuan University
2018.7 Chongqing Hechuan High School
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2023.3~ M.S. Student in EE, Korea Advanced Institute of Science and Technology (KAIST)
2023.2 B.S in EE, Sungkyunkwan University
2016.2 Buram High School
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