Research Interest

- Multicore Processor Architecture 

- Deep Learning Processor

- Intelligent 3D Vision SoC

Education

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

BIOGRAPHY

- International Journal Papers  

DynaPlasia: An eDRAM In-Memory Computing-Based Reconfigurable Spatial Accelerator With Triple-Mode Cell

Sangjin Kim, Zhiyong Li, Soyeon Um, Wooyoung Jo, Sangwoo Ha, Juhyoung Lee, Sangyeob Kim, Donghyeon Han, and Hoi-Jun Yoo

IEEE Journal of Solid-State Circuits (JSSC), Oct. 2023

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

IEEE Symposium on VLSI Circuits (S. VLSI), Jun. 2021

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

Research Interest

- Deep learning SoC

- Computer vision

Education

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)

2015. 2      Daejeon Science High School

BIOGRAPHY

-- 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

- International Conference Papers 

Space-Mate: A 303.5mW Real-Time Sparse Mixture-of-Experts-Based NeRF-SLAM Processor for Mobile Spatial Computing

Gwangtae Park, Seokchan Song, Haoyang Sang, Dongseok Im, Donghyeon Han, Sangyeob Kim, Hongseok Lee, and Hoi-Jun Yoo

IEEE International Conference on Solid-State Circuits (ISSCC), Feb. 2024

Research Interest

- Deep learning SoC

- Multicore Processor Architecture

Education

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

Award

BIOGRAPHY

- 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

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 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

Research Interest

- Computing-In-Memory Processor

- Deep Learning SoC

- Neuromorphic Hardware

Education

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)

2020. 2      B.S. in EE, Korea Advanced Insititue of Science and Technology (KAIST) 

2015. 2      Hansung Science High School

BIOGRAPHY

- International Journal Papers

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 

IEEE Transactions on Circuits and Systems II (TCAS-II), Mar. 2021

- International Conference Papers

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 

IEEE International Symposium on Circuit and Systems (ISCAS), May. 2021

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

Research Interest

- Computer Vision System on Chip

- Hardware-friendly Computer Vision Algorithm

Education

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)

2020. 2      B.S. in EE, Korea Advanced Insititue of Science and Technology (KAIST)

2015. 2      Changwon Science High School

BIOGRAPHY

- International Journal Papers

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 18.5 mJ/iter Neural-Graphics Processing Unit for Instant-Modeling and Real-Time-Rendering with Segmented-Hashing Architecture

Junha Ryu, Hankyul Kwon, Wonhoon Park, Zhiyong Li, Beomseok Kwon, Donghyeon Han, Dongseok Im, Sangyeob Kim, Hyungnam Joo, and Hoi-Jun Yoo

IEEE International Conference on Solid-State Circuits (ISSCC), Feb. 2024

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

Research Interest

- Processing In Memory

- Deep Learning SoC

- AI Algorithm

Education

2021. 9 ~   Ph.D. Student 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

BIOGRAPHY

 - International Conference Papers

A 709.3 TOPS/W Event-Driven Smart Vision SoC with High-Linearity and Reconfigurable MRAM PIM

Wenao Xie, Haoyang Sang, Beomseok Kwon, Dongseok Im, Sangjin Kim, Sangyeob Kim and Hoi-Jun Yoo

IEEE Symposium on VLSI Circuits (S. VLSI), Apr. 2023

Research Interest

- Deep Learning Processor

- Machine Learning Algorithms

Education

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

Award

BIOGRAPHY

- International Conference Papers 

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

Research Interest

- Deep Learning Processor

- Machine Learning Algorithms

Education

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)

2017. 2      Gyeonggi Science High School

BIOGRAPHY

- International Journal Papers 

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 

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

Research Interest

- Deep Learning SoC Design

- Deep Learning pocessor

Education

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

Award

BIOGRAPHY

- International Conference Papers

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

Research Interest

- Processing-In-Memory (PIM)

- Deep Learning Processor

- Neuromorphic

Education

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

Award

BIOGRAPHY

- International Conference Papers

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

IEEE International Symposium on Circuits and Systems (ISCAS), May. 2023

Research Interest

- PIM

- Deep Learning SoC

Education

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) 

2021.8      B.S in EE, Korea Aerospace University (KAU)

2017.2      Bucheon Girls High School

BIOGRAPHY

- International Conference Papers

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

IEEE International Symposium on Circuits and Systems (ISCAS), May. 2023

Research Interest

- Processing-In-Memory (PIM)

- Deep Learning Processor

- Neuromorphic

Education

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

BIOGRAPHY

- International Conference Papers

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

IEEE International Symposium on Circuits and Systems (ISCAS), May. 2023

Research Interest

- Deep Learning SoC Design

- Processing-In-Memory (PIM)

Education

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

BIOGRAPHY

- International Journal Papers 

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

- International Conference Papers

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 International Symposium on Circuits and Systems (ISCAS), May. 2023

Research Interest

- Processing-In-Memory (PIM)

- Deep Learning SoC

- AI Algorithm

Education

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

BIOGRAPHY

-

Research Interest

- Processing-In-Memory (PIM)

- Deep Learning Processor

- Neuromorphic

Education

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

BIOGRAPHY

-