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 PVT-robust Customized 4T Embedded DRAM Cell Array for Accelerating Binary Neural Networks. - Hyein Shin; Jaehyeong Sim; Daewoong Lee; 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)

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)

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)

2.4 ATOMUS: A 5nm 32TFLOPS/128TOPS ML System-on-Chip for Latency Critical Applications. - Chang-Hyo Yu; Hyo-Eun Kim; Sungho Shin; Kyeongryeol Bong; Hyunsuk Kim; Yoonho Boo; Jaewan Bae; Minjae Kwon; Karim Charfi; Jinseok Kim 006; Hongyun Kim; Myeongbo Shim; et al. (ISSCC, 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)