| GraphZoom: A Multi-Level Spectral Approach for Accurate and Scalable Graph Embedding C Deng*, Z Zhao*, Y Wang, Z Zhang, Z Feng (*Equal Contributions) International Conference on Learning Representations (ICLR 2020, Oral), 2020 | 136 | 2020 |
| Accurate Operation Delay Prediction for FPGA HLS using Graph Neural Networks E Ustun*, C Deng*, D Pal, Z Li, Z Zhang (*Equal Contributions) Proceedings of the 39th international conference on computer-aided design, 1-9, 2020 | 79 | 2020 |
| Layout Symmetry Annotation for Analog Circuits with Graph Neural Networks X Gao, C Deng, M Liu, Z Zhang, DZ Pan, Y Lin Proceedings of the 26th Asia and South Pacific Design Automation Conference …, 2021 | 30 | 2021 |
| GARNET: Reduced-Rank Topology Learning for Robust and Scalable Graph Neural Networks C Deng, X Li, Z Feng, Z Zhang Learning on Graphs Conference (LoG 2022, Spotlight), 2022 | 16 | 2022 |
| SPADE: A Spectral Method for Black-Box Adversarial Robustness Evaluation W Cheng*, C Deng*, Z Zhao*, Y Cai, Z Zhang, ... International Conference on Machine Learning (ICML 2021), 2021 | 12 | 2021 |
| Polynormer: Polynomial-Expressive Graph Transformer in Linear Time C Deng, Z Yue, Z Zhang International Conference on Learning Representations (ICLR 2024), 2024 | 5 | 2024 |
| Machine learning for agile fpga design D Pal, C Deng, E Ustun, C Yu, Z Zhang Machine Learning Applications in Electronic Design Automation, 471-504, 2022 | 5 | 2022 |
| GLAIVE: Graph Learning Assisted Instruction Vulnerability Estimation J Jiao, D Pal, C Deng, Z Zhang Design, Automation and Test in Europe Conference (DATE 2021), 0 | 4* | |
| SAGMAN: Stability Analysis of Graph Neural Networks on the Manifolds W Cheng, C Deng, A Aghdaei, Z Zhang, Z Feng arXiv preprint arXiv:2402.08653, 2024 | 1 | 2024 |
| Special Session: Machine Learning for Embedded System Design ES Alcorta Lozano, A Gerstlauer, C Deng, Q Sun, Z Zhang, C Xu, LW Wills, ... Proceedings of the 2023 International Conference on Hardware/Software …, 2023 | 1 | 2023 |
| Less is More: Hop-Wise Graph Attention for Scalable and Generalizable Learning on Circuits C Deng, Z Yue, C Yu, G Sarar, R Carey, R Jain, Z Zhang Design Automation Conference (DAC 2024), 2024 | | 2024 |
| SAGMAN: Stability Analysis of Graph Neural Networks (GNNs) on the Manifolds W Cheng, C Deng, A Aghdaei, Z Zhang, Z Feng | | |
Zhiru ZhangCornell University在 cornell.edu 的电子邮件经过验证
