• S³A-NPU: A High-Performance Hardware Accelerator for Spiking Self-Supervised Learning with Dynamic Adaptive Memory Optimization

• Heuijee Yun and Daejin Park, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 12:4339-4353, 2025.

• High-Speed Energy-Efficient Model based Dynamic Pruning using Pattern-based Alignment for Convolutional Spiking Neural Network Hardware Accelerator

• Heuijee Yun and Daejin Park, IEMEK Journal of Embedded Systems and Applications, 12:4339-4353, 2024.

• Low-Power Lane Detection Unit with Sliding-based Parallel Segment Detection Accelerator for Lightweighted Automotive Microcontrollers

• Heuijee Yun and Daejin Park, IEEE Access, 12:4339-4353, 2024.

• Efficient Object Detection based on Masking Semantic Segmentation Region for Lightweight Embedded Processors

• Heuijee Yun and Daejin Park, Sensors, 22(22):8890-8911, 2022.

• Efficient Object Recognition by Masking Semantic Pixel Difference Region of Vision Snapshot for Lightweight Embedded Systems

• Heuijee Yun and Daejin Park, Journal of the Korea Institute of Information and Communication Engineering, 26(6):813-826, 2022.

• Virtualization of Self-Driving Algorithms by Interoperating Embedded Controllers on Game Engine for Digital Twining Autonomous Vehicle

• Heuijee Yun and Daejin Park, Electronics, 2021.

• Opti-SpiSSL: A Highly Reconfigurable Hardware Generation Framework for Spiking Self-Supervised Learning on Heterogeneous SoC

• Heuijee Yun and Daejin Park, IEEE Design Automation Conference (DAC 2025), 2025.

• A Power-Efficient Reconfigurable Hybrid CNN-SNN Accelerator for High Performance AI Applications

• Heuijee Yun and Daejin Park, IEEE Symposium on Low-Power and High-Speed Chips and Systems (COOLChips), 2025.

• Deep Learning based Human Detection using Thermal-RGB Data Fusion for Safe Automotive Guided-Driving

• Heuijee Yun and Daejin Park, IEEE International Conference on Pervasive Computing and Communication (Percom 2024 - Pervehicle), 2024.

• Parallel Processing of 3D Object Recognition by Fusion of 2D Images and LiDAR for Autonomous Driving

• Heuijee Yun and Daejin Park, International Conference on Electronics, Information, and Communication (ICEIC), 2024.

• Dynamic MAC Unit Pruning Techniques in Runtime RTL Simulation for Area-Accuracy Efficient Implementation of Neural Network Accelerator

• Jisu Kwon, Heuijee Yun, and Daejin Park, IEEE MWSCAS 2023.

• Low-Power Parallel Lane Detection Unit for Lightweight Automotive Processors

• Heuijee Yun and Daejin Park, IEEE COOLChips 2023.

• FPGA Realization of Lane Detection Unit using Sliding-based Parallel Segment Detection for Buffer Memory Reduction

• Heuijee Yun and Daejin Park, IEEE ICCE 2023.

• Mitigating Overflow of Object Detection Tasks Based on Masking Semantic Difference Region of Vision Snapshot for High Efficiency

• Heuijee Yun and Daejin Park, IEEE International Conference on Artificial Intelligence in Information and Communication (ICAIIC), 2022.

• Yolo-based Realtime Object Detection using Interleaved Redirection of Time-Multiplxed Streamline of Vision Snapshot for Lightweighted Embedded Processors

• Heuijee Yun and Daejin Park, International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS), 2021.

• Simulation of Self-driving System by implementing Digital Twin with GTA5

• Heuijee Yun and Daejin Park, IEEE ICEIC 2021.