FlashNeuron: SSD-Enabled Large-Batch Training of Very Deep Neural Networks. - Jonghyun Bae; Jongsung Lee 001; Yunho Jin; Sam Son; Shine Kim; Hakbeom Jang; Tae Jun Ham; Jae W. Lee (FAST, 2021)

Behemoth: A Flash-centric Training Accelerator for Extreme-scale DNNs. - Shine Kim; Yunho Jin; Gina Sohn; Jonghyun Bae; Tae Jun Ham; Jae W. Lee (FAST, 2021)

Layerweaver: Maximizing Resource Utilization of Neural Processing Units via Layer-Wise Scheduling. - Young H. Oh; Seonghak Kim; Yunho Jin; Sam Son; Jonghyun Bae; Jongsung Lee 001; Yeonhong Park; Dong Uk Kim; Tae Jun Ham; Jae W. Lee (HPCA, 2021)

ASAP: Fast Mobile Application Switch via Adaptive Prepaging. - Sam Son; Seung Yul Lee; Yunho Jin; Jonghyun Bae; Jinkyu Jeong; Tae Jun Ham; Jae W. Lee; Hongil Yoon (USENIX ATC, 2021)

Bigger&Faster: Two-stage Neural Architecture Search for Quantized Transformer Models. - Yuji Chai; Luke Bailey; Yunho Jin; Matthew Karle; Glenn G. Ko (CoRR, 2022)

Layerweaver+: A QoS-Aware Layer-Wise DNN Scheduler for Multi-Tenant Neural Processing Units. - Young H. Oh; Yunho Jin; Tae Jun Ham; Jae W. Lee (IEICE Trans. Inf. Syst., 2022)

Architecting a Flash-Based Storage System for Low-Cost Inference of Extreme-Scale DNNs. - Yunho Jin; Shine Kim; Tae Jun Ham; Jae W. Lee (IEEE Trans. Computers, 2022)

S3: Increasing GPU Utilization during Generative Inference for Higher Throughput. - Yunho Jin; Chun-Feng Wu; David Brooks 001; Gu-Yeon Wei (NeurIPS, 2023)

SkipLSM: Fast Retrieval of Hot Key-Value Pairs on LSM Tree. - Jongsung Lee 001; Sam Son; Jonghyun Bae; Yunho Jin; Tae Jun Ham; Jae W. Lee (SAC, 2025)

The Energy Cost of Reasoning: Analyzing Energy Usage in LLMs with Test-time Compute. - Yunho Jin; Gu-Yeon Wei; David Brooks 001 (CoRR, 2025)