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- Park, Heechun
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| DC Field | Value | Language |
|---|---|---|
| dc.citation.conferencePlace | BE | - |
| dc.citation.title | IEEE/ACM Design, Automation and Test in Europe Conference (DATE), 2023 | - |
| dc.contributor.author | Chang, Kyungjoon | - |
| dc.contributor.author | Park, Heechun | - |
| dc.contributor.author | Kim, Taewhan | - |
| dc.date.accessioned | 2024-03-14T11:05:08Z | - |
| dc.date.available | 2024-03-14T11:05:08Z | - |
| dc.date.created | 2024-03-14 | - |
| dc.date.issued | 2023-04-17 | - |
| dc.identifier.bibliographicCitation | IEEE/ACM Design, Automation and Test in Europe Conference (DATE), 2023 | - |
| dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/81630 | - |
| dc.publisher | IEEE/ACM | - |
| dc.title | DTOC: integrating Deep-learning driven Timing Optimization into the state-of-the-art Commercial EDA tool | - |
| dc.type | Conference Paper | - |
| dc.date.conferenceDate | 2023-04-17 | - |
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