| A graph placement methodology for fast chip design A Mirhoseini, A Goldie, M Yazgan, JW Jiang, E Songhori, S Wang, YJ Lee, ... Nature 594 (7862), 207-212, 2021 | 802* | 2021 |
| Generalized Clustering by Learning to Optimize Expected Normalized Cuts A Nazi, W Hang, A Goldie, S Ravi, A Mirhoseini NeurIPS Workshop, 2019 | 81* | 2019 |
| Reinforcement Learning Driven Heuristic Optimization Q Cai, W Hang, A Mirhoseini, G Tucker, J Wang, W Wei KDD Workshop, 2019 | 35 | 2019 |
| Computing technologies for image operations D West, C Stavish, M Yeo, B Jackson, W Hang US Patent 10,614,285, 2019 | 17 | 2019 |
| GlimpseNet: Attentional Methods for Full-Image Mammogram Diagnosis W Hang, Z Liu, A Hannun Stanford AI Lab, 2017 | 14 | 2017 |
| Generating integrated circuit floorplans using neural networks CR Ho, W Hang, MN Yazgan, AD Goldie, JA Dean, A Mirhoseini, ... US Patent 10,699,043, 2020 | 13 | 2020 |
| Clustering data using neural networks based on normalized cuts A Nazi, A Mirhoseini, AD Goldie, S Ravi, W Hang US Patent App. 17/764,015, 2022 | 1 | 2022 |
| Addendum: A graph placement methodology for fast chip design A Goldie, A Mirhoseini, M Yazgan, JW Jiang, E Songhori, S Wang, YJ Lee, ... Nature, 1-2, 2024 | | 2024 |
Azalia MirhoseiniAssistant Professor of Computer Science, Stanford - Google DeepMind在 stanford.edu 的电子邮件经过验证
