| High-level synthesis performance prediction using gnns: Benchmarking, modeling, and advancing N Wu, H Yang, Y Xie, P Li, C Hao Proceedings of the 59th ACM/IEEE Design Automation Conference, 49-54, 2022 | 48 | 2022 |
| Unsupervised learning for combinatorial optimization with principled objective relaxation HP Wang, N Wu, H Yang, C Hao, P Li Advances in Neural Information Processing Systems 35, 31444-31458, 2022 | 34 | 2022 |
| Analog System High-Level Synthesis for Energy-Efficient Reconfigurable Computing A Ige, L Yang, H Yang, J Hasler, C Hao Journal of Low Power Electronics and Applications 13 (4), 58, 2023 | 7 | 2023 |
| Survey of machine learning for software-assisted hardware design verification: Past, present, and prospect N Wu, Y Li, H Yang, H Chen, S Dai, C Hao, C Yu, Y Xie ACM Transactions on Design Automation of Electronic Systems 29 (4), 1-42, 2024 | 2 | 2024 |
| Rapid-INR: Storage Efficient CPU-free DNN Training Using Implicit Neural Representation H Chen, H Yang, S Fitzmeyer, C Hao 2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD), 1-9, 2023 | 1 | 2023 |
Cong (Callie) HaoGeorgia Institute of Technology在 gatech.edu 的电子邮件经过验证
