| 2025 | DAC | FLAG: An FPGA-Based System for Low-Latency GNN Inference Service Using Vector Quantization. | Yunki Han, Taehwan Kim, Jiwan Kim, Seohye Ha, Lee-Sup Kim |
| 2025 | ICCAD | SAFF: Scalable Acceleration of GNN-based Machine Learning Force Fields using Tensor-Aware Hardware for Molecular Simulation. | Seohye Ha, Yunki Han, Taehwan Kim, Jiwan Kim, Junyoung Park, Gunhee Park, Lee-Sup Kim |
| 2025 | ISCA | EOD: Enabling Low Latency GNN Inference via Near-Memory Concatenate Aggregation. | Taehwan Kim, Yunki Han, Seohye Ha, Jiwan Kim, Lee-Sup Kim |
| 2024 | DAC | 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 |
| 2024 | ICCAD | CoCoA: Algorithm-Hardware Co-Design for Large-Scale GNN Training using Compressed Graph. | Yunki Han, Jaekang Shin, Gunhee Park, Lee-Sup Kim |
| 2023 | HPCA | OptimStore: In-Storage Optimization of Large Scale DNNs with On-Die Processing. | Junkyum Kim, Myeonggu Kang, Yunki Han, Yang-gon Kim, Lee-Sup Kim |
| 2021 | ICCAD | Deferred Dropout: An Algorithm-Hardware Co-Design DNN Training Method Provisioning Consistent High Activation Sparsity. | Kangkyu Park, Yunki Han, Lee-Sup Kim |