Seung Yul Lee
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
7
Venues
6
Active years
2020–2025
Best venue rank
A*
Where they publish
Papers
7 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICML | FlashTP: Fused, Sparsity-Aware Tensor Product for Machine Learning Interatomic Potentials. | Seung Yul Lee, Hojoon Kim, Yutack Park, Dawoon Jeong, Seungwu Han, Yeonhong Park, Jae W. Lee |
| 2024 | MICRO | VGA: Hardware Accelerator for Scalable Long Sequence Model Inference. | Seung Yul Lee, Hyunseung Lee, Jihoon Hong, SangLyul Cho, Jae W. Lee |
| 2023 | DAC | A Memory-Efficient Edge Inference Accelerator with XOR-based Model Compression. | Hyunseung Lee, Jihoon Hong, Soosung Kim, Seung Yul Lee, Jae W. Lee |
| 2022 | DAC | Effective zero compression on ReRAM-based sparse DNN accelerators. | Hoon Shin, Rihae Park, Seung Yul Lee, Yeonhong Park, Hyunseung Lee, Jae W. Lee |
| 2021 | ISCA | BOSS: Bandwidth-Optimized Search Accelerator for Storage-Class Memory. | Jun Heo, Seung Yul Lee, Sunhong Min, Yeonhong Park, Sungjun Jung, Tae Jun Ham, Jae W. Lee |
| 2021 | USENIX | 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 |
| 2020 | ICCAD | Unlocking Wordline-level Parallelism for Fast Inference on RRAM-based DNN Accelerator. | Yeonhong Park, Seung Yul Lee, Hoon Shin, Jun Heo, Tae Jun Ham, Jae W. Lee |