Function Block-Based Robust Firmware Update Technique for Additional Flash-Area/Energy-Consumption Overhead Reduction. - Jisu Kwon; Jeonghun Cho 001; Daejin Park (ISPACS, 2019)

User Insensible Sliding Firmware Update Technique for Flash-Area/Time-Cost Reduction toward Low-Power Embedded Software Replacement. - Jisu Kwon; Moon Gi Seok; Daejin Park (COOL CHIPS, 2020)

Implementation of Computation-Efficient Sensor Network for Kalman Filter-based Intelligent Position-Aware Application. - Jisu Kwon; Daejin Park (ICAIIC, 2020)

GPU-Based ECC Decode Unit for Efficient Massive Data Reception Acceleration. - Jisu Kwon; Moon Gi Seok; Daejin Park (J. Inf. Process. Syst., 2020)

Toward Data-Adaptable TinyML using Model Partial Replacement for Resource Frugal Edge Device. - Jisu Kwon; Daejin Park (HPC Asia, 2021)

Metamorphic Edge Processor Simulation Framework Using Flexible Runtime Partial Replacement of Software-Embedded Verilog RTL Models. - Jisu Kwon; Sejong Oh; Daejin Park (ISCAS, 2021)

FogSurv: A Fog-Assisted Architecture for Urban Surveillance Using Artificial Intelligence and Data Fusion. - Arslan Munir; Jisu Kwon; Jong Hun Lee; Joonho Kong; Erik Blasch; Alexander J. Aved; Khan Muhammad 001 (IEEE Access, 2021)

Low-Power Fast Partial Firmware Update Technique of On-Chip Flash Memory for Reliable Embedded IoT Microcontroller. - Jisu Kwon; Moon Gi Seok; Daejin Park (IEICE Trans. Electron., 2021)

Lightweighted AI-based Inference using Deterministic Randomness Compensation for Microcontroller ADC Resolution Enhancement. - Jisu Kwon; Daejin Park (ISOCC, 2022)

Neural Network-based Approximate Quality Prediction for Parameter Exploration in Industrial Manufacturing. - Jisu Kwon; Moon Gi Seok; Daejin Park (ISPACS, 2022)

Efficient Sensor Processing Technique Using Kalman Filter-Based Velocity Prediction in Large-Scale Vehicle IoT Application. - Jisu Kwon; Daejin Park (IEEE Access, 2022)

Sparse convolutional neural network acceleration with lossless input feature map compression for resource-constrained systems. - Jisu Kwon; Joonho Kong; Arslan Munir (IET Comput. Digit. Tech., 2022)

Work-in-Progress: Micro-Accelerator-in-the-Loop Framework for MCU Integrated Accelerator Peripheral Fast Prototyping. - Jisu Kwon; Daejin Park (EMSOFT, 2023)

Dynamic MAC Unit Pruning Techniques in Runtime RTL Simulation for Area-Accuracy Efficient Implementation of Neural Network Accelerator. - Jisu Kwon; Heuijee Yun; Daejin Park (MWSCAS, 2023)

Runtime Tracking-Based Replication of On-Chip Embedded Software Using Transfer Function Learning for Dust Particle Sensing Systems. - Seungmin Lee; Jisu Kwon; Daejin Park (IEEE Access, 2023)

Optimized Replication of ADC-Based Particle Counting Algorithm with Reconfigurable Multi-Variables in Pseudo-Supervised Digital Twining of Reference Dust Sensor Systems. - Seungmin Lee; Jisu Kwon; Daejin Park (Sensors, 2023)

Efficient Partial Weight Update Techniques for Lightweight On-Device Learning on Tiny Flash-Embedded MCUs. - Jisu Kwon; Daejin Park (IEEE Embed. Syst. Lett., 2023)

A Dynamic Linking Framework for Efficient QEMU Peripheral Development and Maintenance. - Gihyeon Jeon; Jisu Kwon; Daejin Park (ICAIIC, 2025)

Hyperparameter Tuning with Gaussian Processes for Optimal Abstraction Control in Simulation-based Optimization of Smart Semiconductor Manufacturing Systems. - Moon Gi Seok; Wen Jun Tan; Boyi Su; Wentong Cai 001; Jisu Kwon; Seon Han Choi (ACM Trans. Model. Comput. Simul., 2025)