Myeonggu Kang - RankMe

19 papers A* 4A 5Journal 8Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	AToM: Adaptive Token Merging for Efficient Acceleration of Vision Transformer. IEEE Trans. Computers Jaekang Shin, Myeonggu Kang, Yunki Han, Junyoung Park, Lee-Sup Kim
2024	J	`jnl`	ToEx: Accelerating Generation Stage of Transformer-Based Language Models via Token-Adaptive Early Exit. IEEE Trans. Computers Myeonggu Kang, Junyoung Park, Hyein Shin, Jaekang Shin, Lee-Sup Kim
2024	A*	`conf`	Token-Picker: Accelerating Attention in Text Generation with Minimized Memory Transfer via Probability Estimation. DAC Junyoung Park, Myeonggu Kang, Yunki Han, Yanggon Kim, Jaekang Shin, Lee-Sup Kim
2024	J	`jnl`	Token-Picker: Accelerating Attention in Text Generation with Minimized Memory Transfer via Probability Estimation. CoRR Junyoung Park, Myeonggu Kang, Yunki Han, Yanggon Kim, Jaekang Shin, Lee-Sup Kim
2023	J	`jnl`	Fault-Free: A Framework for Analysis and Mitigation of Stuck-at-Fault on Realistic ReRAM-Based DNN Accelerators. IEEE Trans. Computers Hyein Shin, Myeonggu Kang, Lee-Sup Kim
2023	J	`jnl`	MGen: A Framework for Energy-Efficient In-ReRAM Acceleration of Multi-Task BERT. IEEE Trans. Computers Myeonggu Kang, Hyein Shin, Junkyum Kim, Lee-Sup Kim
2023	A*	`conf`	OptimStore: In-Storage Optimization of Large Scale DNNs with On-Die Processing. HPCA Junkyum Kim, Myeonggu Kang, Yunki Han, Yanggon Kim, Lee-Sup Kim
2022	J	`jnl`	A Framework for Accelerating Transformer-Based Language Model on ReRAM-Based Architecture. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Myeonggu Kang, Hyein Shin, Lee-Sup Kim
2022	A	`conf`	Re ICCAD Hyein Shin, Myeonggu Kang, Lee-Sup Kim
2022	J	`jnl`	S-FLASH: A NAND Flash-Based Deep Neural Network Accelerator Exploiting Bit-Level Sparsity. IEEE Trans. Computers Myeonggu Kang, Hyeonuk Kim, Hyein Shin, Jaehyeong Sim, Kyeonghan Kim, Lee-Sup Kim
2021	A	`conf`	A Framework for Area-efficient Multi-task BERT Execution on ReRAM-based Accelerators. ICCAD Myeonggu Kang, Hyein Shin, Jaekang Shin, Lee-Sup Kim
2021	A*	`conf`	Fault-free: A Fault-resilient Deep Neural Network Accelerator based on Realistic ReRAM Devices. DAC Hyein Shin, Myeonggu Kang, Lee-Sup Kim
2021	A*	`conf`	Optimizing ADC Utilization through Value-Aware Bypass in ReRAM-based DNN Accelerator. DAC HanCheon Yun, Hyein Shin, Myeonggu Kang, Lee-Sup Kim
2020	A	`conf`	A Thermal-aware Optimization Framework for ReRAM-based Deep Neural Network Acceleration. ICCAD Hyein Shin, Myeonggu Kang, Lee-Sup Kim
2020	J	`jnl`	An Energy-Efficient Deep Convolutional Neural Network Training Accelerator for In Situ Personalization on Smart Devices. IEEE J. Solid State Circuits Seungkyu Choi, Jaehyeong Sim, Myeonggu Kang, Yeongjae Choi, Hyeonuk Kim, Lee-Sup Kim
2019	—	`conf`	A 47.4µJ/epoch Trainable Deep Convolutional Neural Network Accelerator for In-Situ Personalization on Smart Devices. A-SSCC Seungkyu Choi, Jaehyeong Sim, Myeonggu Kang, Yeongjae Choi, Hyeonuk Kim, Lee-Sup Kim
2019	A	`conf`	An Energy-efficient Processing-in-memory Architecture for Long Short Term Memory in Spin Orbit Torque MRAM. ICCAD Kyeonghan Kim, Hyein Shin, Jaehyeong Sim, Myeonggu Kang, Lee-Sup Kim
2018	A	`conf`	TrainWare: A Memory Optimized Weight Update Architecture for On-Device Convolutional Neural Network Training. ISLPED Seungkyu Choi, Jaehyeong Sim, Myeonggu Kang, Lee-Sup Kim
2017	—	`conf`	Enhanced Long Edge First Routing Algorithm and Evaluation in Large-Scale Networks-on-Chip. MCSoC Thiem Van Chu, Myeonggu Kang, Shi Fa, Kenji Kise