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

NuVPU: A 4.8~9.6 mJ/frame Progressive NTT-based Unified Video Processor for Stable Video Streaming and Processing with Neural Video Codec

Soyeon Kim, Hankyul Kwon, Jingu Lee, Youngjin Moon, Hongseok Lee, Junha Ryu, Zhamaliddin Kalzhan, Sangyeob Kim, Wooyoung Jo, and Hoi-Jun Yoo

IEEE Symposium on VLSI Circuits (S. VLSI), June. 2025

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

LOG-CIM: An Energy-Efficient Logarithmic Quantization Computing-In-Memory Processor with Exponential Parallel Data Mapping and Zero-Aware 6T Dual-WL Cell

Soyeon Um, Sangjin Kim, Seongyon Hong, Sangyeob Kim, and Hoi-Jun Yoo

IEEE Journal of Solid-State Circuits (JSSC), May. 2024

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

Soyeon Um, Jaehyuk Lee, and Hoi-Jun Yoo 

IEEE Journal of Solid-State Circuits (JSSC), May. 2024

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

DIAL: An Energy-Efficient DRAM In-memory Computing Accelerator with Compact Partial Product LUT and Twisted Differential ADC

Soyeon Um, Sangwoo Ha, Sunjoo Whang, Minsung Kim, Byeongcheol Kim, Sangjin Kim, Junha Ryu, Chaeyun Jeong, Kyomin Sohn, and Hoi-Jun Yoo

IEEE Symposium on VLSI Circuits (S. VLSI), June. 2025

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

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

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 

BROCA: A 52.4-559.2mW Mobile Social Agent System-on-Chip with Adaptive-Bit-Truncate Unit and Acoustic-Cluster Bit-Grouping 

Wooyoung Jo, Seongyon Hong, Jiwon Choi, Beomseok Kwon, Haoyang Sang, Dongseok Im, Sangyeob Kim, Sangjin Kim, Taekwon Lee, and Hoi-Jun Yoo

IEEE International Conference on Solid-State Circuits (ISSCC), Feb. 2025

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 

IRIS: A 8.55 mJ/frame Spatial Computing SoC for Interactable-Rendering and Surface-aware-Modeling with 3D Gaussian Splatting 

Seokchan Song, Seryeong Kim, Wonhoon Park, Jongjun Park, Sanghyuk An, Gwangtae Park, Minseo Kim, and Hoi-Jun Yoo

IEEE International Conference on Solid-State Circuits (ISSCC), Feb. 2025

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

- Processing-In-Memory (PIM)

- Memory Subsystems

- Deep Learning SoC Design

Education

2024. 3~    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 University

2015. 2      Haedong High School

BIOGRAPHY

- International Journal Papers 

Cache-PIM: An ECC-compatible eDRAM Processing-In-Memory for Last-Level Cache with Triple-level Error Correction

Sangwoo Ha, Soyeon Um, Sangjin Kim, Kyomin Sohn, and Hoi-Jun Yoo

IEEE Journal of Solid-State Circuits (JSSC), 2025

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

IEEE Transactions on Circuits and Systems II (TCAS-II), Mar. 2022

- International Conference Papers 

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

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

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

- Deep Learning Accelerator

- Efficient Deep Learning Algorithm

- Processing-In-Memory (PIM)

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

BIOGRAPHY

- International Journal Papers

Dyamond: Compact and Efficient 1T1C DRAM IMC Accelerator With Bit Column Addition for Memory-Intensive AI

Seongyon Hong, Wooyoung Jo, Sangjin Kim, Sangyeob Kim, Soyeon Um, Kyomin Sohn, and Hoi-Jun Yoo

IEEE Journal of Solid-State Circuits (JSSC), Feb. 2025

- International Conference Papers

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

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 Journal Papers

NeRF-Navi: An Energy-Efficient NeRF 3D Path Planning Processor with Reconfigurable Approximate/Accurate Bit Offloading Core

Seryeong Kim, Seokchan Song, Wonhoon Park, Junha Ryu, Gwangtae Park, Sangyeob Kim, Soyeon Kim, Donghyeon Han and Hoi-Jun Yoo

IEEE Journal of Solid-State Circuits (JSSC), April. 2025

- International Conference Papers

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

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

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, Korea Advanced Institute of Science and Technology (KAIST)

2017.2      Gyeonggi-Buk Science High School

Award

2023. 11    IEEE A-SSCC Student Design Contest Best Design Award

BIOGRAPHY

- International Conference Papers

A Resource-Efficient Super-Resolution FPGA Processor with Heterogeneous CNN and SNN Core Architecture

Jiwon Choi, Sangyeob Kim, Wonhoon Park, Wooyoung Jo, and Hoi-Jun Yoo

IEEE Asian Solid-State Circuits Conference (A-SSCC), Nov. 2023

A 28.6 mJ/iter Stable Diffusion Processor for Text-to-Image Generation with Patch Similarity-Based Sparsity Augmentation and Text-Based Mixed-Precision

Jiwon Choi, Wooyoung Jo, Seongyon Hong, Beomseok Kwon, Wonhoon Park, Hoi-Jun Yoo

IEEE International Symposium on Circuits and Systems (ISCAS), May. 2024

Research Interest

- Processing-In-Memory (PIM)

- Deep Learning Processor

Education

2023.3~    M.S. Student in EE, Korea Advanced Institute of Science and Technology (KAIST) 

2023.2      B.S in EE, Korea Advanced Institute of Science and Technology (KAIST)

2018.2      Daegu Il Science High School

BIOGRAPHY

-- International Journal Papers 

An Energy-Efficient CNN/Transformer Hybrid Neural Semantic Segmentation Processor with Chunk-based Bit Plane Data Compression and Similarity-based Token-level Skipping Exploitation

Jongjun Park, Seryeong Kim, Wonhoon Park, Seokchan Song, and Hoi-Jun Yoo

IEEE Transactions on Circuits and Systems I (TCAS-I), Aug. 2024

- International Conference Papers

A 33.58 FPS Embedding based Real-time Neural Rendering Accelerator with Switchable Computation Skipping Architecture on Edge Device 

Jongjun Park, Donghyeon Han, Junha Ryu, Dongseok Im, Gwangtae Park and Hoi-jun Yoo

IEEE Asian Solid-State Circuits Conference (A-SSCC), Nov. 2023

A 3.55 mJ/Frame Energy-Efficient Mixed-Transformer Based Semantic Segmentation Accelerator for Mobile Devices

Jongjun Park, Seryeong Kim, Wonhoon Park, Seokchan Song, and Hoi-Jun Yoo

IEEE International Symposium on Circuits and Systems (ISCAS), May. 2024

Research Interest

- Processing-In-Memory (PIM)

- Deep Learning Processor

- Al Algorithm

- Neuromorphic

Education

2023.9~    M.S. Student in EE, Korea Advanced Institute of Science and Technology (KAIST) 

2023.8      B.S in EE, Korea Advanced Institute of Science and Technology (KAIST)

2018.6      No.1 Shymkent Bilim-Innovation High School

BIOGRAPHY

Research Interest

- Processing-In-Memory (PIM)

- Deep Learning Processor

- Neuromorphic

Education

2023.9~    M.S. Student in EE, Korea Advanced Institute of Science and Technology (KAIST) 

2023.2      B.S in BME, Korea University

2016.2      Whimoon High School

BIOGRAPHY

- International Conference Papers

A 51.2 fps Real-Time 3DGS-SLAM Accelerator using Diagonal Feeding with Symmetric Alpha Reuse and Voxel-based 3D Gaussian Cache Management

Hyungnam Joo, Seryeong Kim, Jongjun Park, Junha Ryu and Hoi-Jun Yoo

IEEE International Symposium on Circuits and Systems (ISCAS), May. 2025 

A Real-Time 3DGS-Slam with Voxel-Based Memory Management and Region of Interest-Based Pixel-Wise Skipping Architecture on Edge Device

Hyungnam Joo, Junha Ryu, Seryeong Kim, Jongjun Park and Hoi-Jun Yoo

IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS), April. 2025 

Research Interest

- Processing-In-Memory (PIM)

- Deep Learning Processor

- Neuromorphic

Education

2024.3~    M.S. Student in EE, Korea Advanced Institute of Science and Technology (KAIST) 

2024.2      B.S in BBE, Korea Advanced Institute of Science and Technology (KAIST)

2020.2      Gyeonggi Science High School

BIOGRAPHY

- International Conference Papers

A 32.65µm2 Spin/Area Large Scale Ising CIM with Progressive Circular Dataflow and Bi-directional eDRAM Cell Array

Jingu Lee, Sangwoo Ha, Sunjoo Whang, Soyeon Kim, Sangjin Kim, Soyeon Um, Wooyoung Jo and Hoi-Jun Yoo

IEEE International Symposium on Circuits and Systems (ISCAS), May. 2025 

EnTADRL : Deep Reinforcement Learning System-on-Chip for End-to-End Training Acceleration 

Jingu Lee*, Sanghyuk An*, Jongjun Park, Jiwon Choi, Haoyang Sang, Sangwoo Ha, Sangjin Kim and Hoi-Jun Yoo

IEEE Asian Solid-State Circuits Conference (A-SSCC), Nov. 2024

An Energy-Efficient Heterogenous Fourier Transform-based Transformer Accelerator with Frequency-wise Dynamic Bit-precision 

Jingu Lee, Sangjin Kim, Wooyoung Jo and Hoi-Jun Yoo

IEEE Asian Solid-State Circuits Conference (A-SSCC), Nov. 2023

Research Interest

- Processing-In-Memory (PIM)

- Deep Learning Processor

- Neuromorphic

Education

2023.9~    M.S. Student in Graduate School of AI Semiconductor, Korea Advanced Institute of Science and Technology (KAIST) 

2023.2      B.S in EE, Hanyang University

2017.2      Cheongwon High School

BIOGRAPHY

- International Conference Papers

A 17.1 TOPS/W FP-INT Transformer Inference Accelerator with Sparsity Boosting and Output Importance-Aware Processing

Jeonggyu So, Seongyon Hong, Jiwon Choi, Wooyoung Jo, Sangjin Kim, Hoi-Jun Yoo, Donghyeon Han

IEEE International Symposium on Circuits and Systems (ISCAS), May. 2025