| International Journal Papers |
| Yanggon Kim, Yunki Han, Jaekang Shin, Junkyum Kim, Lee-Sup Kim |
| Accelerating Deep Reinforcement Learning Via Phase-Level Parallelism for Robotics Applications |
| IEEE Computer Architecture Letters, 2023 |
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| Yunki Han, Kangkyu Park, Youngbeom Jung, Lee-Sup Kim |
| EGCN: An Efficient GCN Accelerator for Minimizing Off-Chip Memory Access |
| IEEE Transactions on Computers, 2022 |
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| International Conference Papers |
| Yunki Han, Jaekang Shin, Gunhee Park, Lee-Sup Kim |
| CoCoA: Algorithm-Hardware Co-Design for Large-Scale GNN Training using Compressed Graph |
| IEEE/ACM International Conference On Computer Aided Design, 2024 |
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| Junyoung Park, Myeonggu Kang, Yunki Han, Yanggon Kim, Jaekang Shin, Lee-Sup Kim |
| Token-Picker: Accelerating Attention in Text Generation with Minimized Memory Transfer via Probability Estimation (Best Paper Award) |
| IEEE/ACM Design Automation Conference, 2024 |
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| Junkyum Kim, Myeonggu Kang, Yunki Han, Yanggon Kim, Lee-Sup Kim |
| OptimStore: In-Storage Optimization of Large Scale DNNs with On-Die Processing |
| IEEE International Symposium on High-Performance Computer Architecture, 2023 |
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| Kangkyu Park, Yunki Han, Lee-Sup Kim |
| Deferred Dropout: An Algorithm-Hardware Co-Design DNN Training Method Provisioning Consistent High Activation Sparsity |
| IEEE/ACM International Conference On Computer Aided Design, 2021 |
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