Enhanced Long Edge First Routing Algorithm and Evaluation in Large-Scale Networks-on-Chip. - Thiem Van Chu; Myeonggu Kang; Shi Fa; Kenji Kise (MCSoC, 2017)

TrainWare: A Memory Optimized Weight Update Architecture for On-Device Convolutional Neural Network Training. - Seungkyu Choi; Jaehyeong Sim; Myeonggu Kang; Lee-Sup Kim (ISLPED, 2018)

A 47.4µJ/epoch Trainable Deep Convolutional Neural Network Accelerator for In-Situ Personalization on Smart Devices. - Seungkyu Choi; Jaehyeong Sim; Myeonggu Kang; Yeongjae Choi; Hyeonuk Kim; Lee-Sup Kim (A-SSCC, 2019)

An Energy-efficient Processing-in-memory Architecture for Long Short Term Memory in Spin Orbit Torque MRAM. - Kyeonghan Kim; Hyein Shin; Jaehyeong Sim; Myeonggu Kang; Lee-Sup Kim (ICCAD, 2019)

A Thermal-aware Optimization Framework for ReRAM-based Deep Neural Network Acceleration. - Hyein Shin; Myeonggu Kang; Lee-Sup Kim (ICCAD, 2020)

An Energy-Efficient Deep Convolutional Neural Network Training Accelerator for In Situ Personalization on Smart Devices. - Seungkyu Choi; Jaehyeong Sim; Myeonggu Kang; Yeongjae Choi; Hyeonuk Kim; Lee-Sup Kim (IEEE J. Solid State Circuits, 2020)

Fault-free: A Fault-resilient Deep Neural Network Accelerator based on Realistic ReRAM Devices. - Hyein Shin; Myeonggu Kang; Lee-Sup Kim (DAC, 2021)

Optimizing ADC Utilization through Value-Aware Bypass in ReRAM-based DNN Accelerator. - HanCheon Yun; Hyein Shin; Myeonggu Kang; Lee-Sup Kim (DAC, 2021)

A Framework for Area-efficient Multi-task BERT Execution on ReRAM-based Accelerators. - Myeonggu Kang; Hyein Shin; Jaekang Shin; Lee-Sup Kim (ICCAD, 2021)

Re2fresh: A Framework for Mitigating Read Disturbance in ReRAM-Based DNN Accelerators. - Hyein Shin; Myeonggu Kang; Lee-Sup Kim (ICCAD, 2022)

S-FLASH: A NAND Flash-Based Deep Neural Network Accelerator Exploiting Bit-Level Sparsity. - Myeonggu Kang; Hyeonuk Kim; Hyein Shin; Jaehyeong Sim; Kyeonghan Kim; Lee-Sup Kim (IEEE Trans. Computers, 2022)

A Framework for Accelerating Transformer-Based Language Model on ReRAM-Based Architecture. - Myeonggu Kang; Hyein Shin; Lee-Sup Kim (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

OptimStore: In-Storage Optimization of Large Scale DNNs with On-Die Processing. - Junkyum Kim; Myeonggu Kang; Yunki Han; Yanggon Kim; Lee-Sup Kim (HPCA, 2023)

Fault-Free: A Framework for Analysis and Mitigation of Stuck-at-Fault on Realistic ReRAM-Based DNN Accelerators. - Hyein Shin; Myeonggu Kang; Lee-Sup Kim (IEEE Trans. Computers, 2023)

MGen: A Framework for Energy-Efficient In-ReRAM Acceleration of Multi-Task BERT. - Myeonggu Kang; Hyein Shin; Junkyum Kim; Lee-Sup Kim (IEEE Trans. Computers, 2023)

Token-Picker: Accelerating Attention in Text Generation with Minimized Memory Transfer via Probability Estimation. - Junyoung Park; Myeonggu Kang; Yunki Han; Yanggon Kim; Jaekang Shin; Lee-Sup Kim (DAC, 2024)

ToEx: Accelerating Generation Stage of Transformer-Based Language Models via Token-Adaptive Early Exit. - Myeonggu Kang; Junyoung Park; Hyein Shin; Jaekang Shin; Lee-Sup Kim (IEEE Trans. Computers, 2024)

AToM: Adaptive Token Merging for Efficient Acceleration of Vision Transformer. - Jaekang Shin; Myeonggu Kang; Yunki Han; Junyoung Park; Lee-Sup Kim (IEEE Trans. Computers, 2025)