jueunjung@unist.ac.kr
Jueun Jung
Ph. D. Candidate
Introduction
Jueun Jung received the B.S. degree in electrical engineering from Ulsan National Institute of Science and Technology (UNIST), Ulsan, South Korea, in 2020, where he is currently pursuing the combined M.S. and Ph.D. degrees. His current research interests include energy-efficient system-on-chip (SoC) design, especially focusing on deep neural network accelerators, hardware-algorithm co-optimization and intelligent spatial computing for autonomous system.
Education
Research Interest
HW-SW Co-optimization
Energy-efficient DNN Accelerator
AI System-on-Chip for Autonomous Mobility
Conference Publication
45
Major
ISCAS
MedBiSeNet: Efficient Bilateral Segmentation Network for Real-Time Medical Image Processing
IEEE International Symposium on Circuits and Systems (ISCAS), 2025
Jiwon Kim, Kyungkeon Chung, Ghangmin Yun, Jaekyung Lee, Jueun Jung, Bokyoung Seo, Hyejin Lee, and Kyuho Lee
44
Major
ISCAS
A Real-Time Point Cloud Segmentation System with Optimized Ground Estimation Algorithm and Selective Neural Network
IEEE International Symposium on Circuits and Systems (ISCAS), 2025
Jihyeon Hwang, Sangho Lee, Jueun Jung, and Kyuho Lee
41
Major
A-SSCC
LPNA: A 2.75 ms Low-Latency and 0.40 uJ/point Energy-Efficient LiDAR Point-Cloud Neural Network Accelerator with Cylindrical Bin Partitioning 
IEEE Asian Solid-State Circuits Conference (A-SSCC), 2024
Bokyoung Seo, Jueun Jung, Donghyeon Han, and Kyuho Jason Lee
37
Major
ESSERC
A 0.81 mJ/frame, Real-time LiDAR Odometry and Mapping Processor with Memory-efficient KNN and Reconfigurable Architecture
IEEE European Solid-State Electronics Research Conference (ESSERC), 2024
Seungbin Kim, Jeongmin Shin, Sangho Lee, Jueun Jung, and Kyuho Jason Lee
36
Major
ISLPED
An Energy-Efficient 3D Point Neural Network Accelerator with Fine-grained LiDAR-SoC Pipeline Structure
ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED), 2024
Bokyoung Seo, Jueun Jung, Donghyeon Han, and Kyuho Jason Lee
35
Top-Tier
Hotchips
LSPU: A 20.7ms Low-latency Point Neural Network-based 3D Perception and Semantic LiDAR SLAM System-on-Chip for Autonomous Driving System
IEEE Symposium on High Performance Chips (Hotchips), 2024
Jueun Jung, Seungbin Kim, Bokyong Seo, Wuyoung Jang, Sangho Lee, Jeongmin Shin, Donghyeon Han, and Kyuho Lee
34
Major
ISCAS
A 422.1 Mpixels/J Tile-based 4K Super Resolution Processor with Variable Bit Compression
IEEE International Symposium on Circuits and Systems (ISCAS), 2024
Wuyoung Jang, Sangho Lee, Jinhoon Jo, Jueun Jung, Donghyeon Han, and Kyuho Lee
32
COOLCHIPS XXVII
A Low-power and Real-time Semantic LiDAR-SLAM Processor with Point Neural Network Segmentation and kNN Acceleration for Mobile Robots
IEEE Symposium on Low-Power and High-Speed Chips and Systems (COOLCHIPS XXVII), 2024
Jueun Jung, Seungbin Kim, Bokyoung Seo, Wuyoung Jang, Sangho Lee, Jeongmin Shin, Donghyeon Han, and Kyuho Jason Lee
30
Top-Tier
ISSCC
LSPU: A Fully-Integrated Real-Time LiDAR-SLAM SoC with Point-Neural-Network Segmentation and Multi-level kNN Acceleration
IEEE International Solid-State Circuits Conference (ISSCC), 2024
Jueun Jung, Seungbin Kim, Bokyoung Seo, Wuyoung Jang, Sangho Lee, Jeongmin Shin, Donghyeon Han, and Kyuho Jason Lee
23
Major
AICAS
A Real-Time Sparsity-Aware 3D-CNN Processor for Mobile Hand Gesture Recognition
IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS), 2022
Seungbin Kim, Jueun Jung, Wuyoung Jang, Hoichang Jeong, and Kyuho Lee
22
Major
ISCAS
An Energy-Efficient CNN Accelerator for Multi-object Real-Time Semantic Segmentation in Autonomous Vehicle
IEEE International Symposium on Circuits and Systems (ISCAS), 2022
Jueun Jung, Seungbin Kim, Wuyoung Jang, Hoichang Jeong, and Kyuho Lee
20
ACSSC
An Energy-Efficient Deep Neural Network Accelerator Design
IEEE Asilomar Conference on Signals, Systems, and Computers (ACSSC), 2020
Jueun Jung, and Kyuho Lee
15
반도체공학회
에너지 효율적인 통합 CNN 아키텍처
제 6회 반도체공학회 종합학술대회 및 정기총회 (반도체공학회), 2023
이상호, 정주은, 이규호
12
반도체공학회
모바일 자율주행로봇 시스템을 위한 SLAM 아키텍처
제 6회 반도체공학회 종합학술대회 및 정기총회 (반도체공학회), 2023
정주은, 이규호
4
반도체공학회
임베디드 시스템을 위한 초경량 분할네트워크 설계
제 5회 반도체공학회 종합학술대회 및 정기총회 (반도체공학회), 2022
정주은, 이규호
1
대한전자공학회
깊이 정보를 활용한 자율주행을 위한 실시간 의미론적 영상 분할 네트워크
대한전자공학회 2022년도 하계종합학술대회 (대한전자공학회), 2022
정주은, 이규호
Journal Publication
21
Top-Tier
MICRO
A Mobile Semantic LiDAR SLAM Processor with AI-based 3D Perception and Spatio-temporal-aware Computing
IEEE MICRO (Early Access), 2025
Jueun Jung, Seungbin Kim, Bokyoung Seo, Wuyoung Jang, Sangho Lee, Jeongmin Shin, Donghyeon Han, and Kyuho Jason Lee
19
Top-Tier
JSSC
An Energy-Efficient Processor for Real-Time Semantic LiDAR SLAM in Mobile Robots
IEEE Journal of Solid State Circuits (JSSC), vol. 60, no. 1, pp. 112-124, 2025
Jueun Jung, Seungbin Kim, Bokyoung Seo, Wuyoung Jang, Sangho Lee, Jeongmin Shin, Donghyeon Han, and Kyuho Jason Lee
17
Top-Tier
T-CAS I
A Real-time Sparsity-aware 3D-CNN Processor for Mobile Hand Gesture Recognition
IEEE Transactions on Circuits and Systems I (T-CAS I): Regular Papers, vol. 71, no. 8, pp. 3695-3707, 2024
Seungbin Kim, Jueun Jung, and Kyuho Jason Lee
16
Top-Tier
T-CAS I
An Energy-Efficient, Unified CNN Accelerator for Real-Time Multi-Object Semantic Segmentation for Autonomous Vehicle
IEEE Transactions on Circuits and Systems I (T-CAS I): Regular Papers, vol. 71, no. 5, pp. 2093-2104, 2024
Jueun Jung, Seungbin Kim, Wuyoung Jang, Bokyoung Seo, and Kyuho Lee
15
Major
T-CAS II
A Ternary Neural Network Computing-in-Memory Processor with 16T1C Bitcell Architecture
IEEE Transactions on Circuits and Systems II (T-CAS II): Express Briefs, vol. 70, no. 5, pp. 1739-1743, 2023
Hoichang Jeong, Seungbin Kim, Keonhee Park, Jueun Jung, and Kyuho Lee
Awards
6
제1회 AI반도체 기술인재 선발대회 우수상 (2024.12)
정주은, 이상호, 윤강민, 황지현
5
제25회 반도체설계대전 국무총리상 (2024.10)
정주은, 김승빈, 장우영, 이상호, 서보경, 이규호
4
ISLPED 2024 Track 3 Best Paper Award (2024.8)
서보경, 정주은, 한동현, 이규호
3
2022 IDEC Congress CDC 우수포스터상, Siemens EDA (2022.7)
정회창, 정주은, 김승빈, 이규호
2
2022 대한전자공학회 하계종합학술대회 우수학생논문상 (2022.6)
정주은, 이규호
1
2022 대한전자공학회 하계종합학술대회 현대자동차그룹 논문상 (2022.6)
정주은, 이규호
