| Doublesqueeze: Parallel stochastic gradient descent with double-pass error-compensated compression H Tang, C Yu, X Lian, T Zhang, J Liu International Conference on Machine Learning, 6155-6165, 2019 | 271 | 2019 |
| Model compression with adversarial robustness: A unified optimization framework S Gui, H Wang, H Yang, C Yu, Z Wang, J Liu Advances in Neural Information Processing Systems 32, 2019 | 166 | 2019 |
| Distributed learning over unreliable networks C Yu, H Tang, C Renggli, S Kassing, A Singla, D Alistarh, C Zhang, J Liu International Conference on Machine Learning, 7202-7212, 2019 | 72 | 2019 |
| Sequence-to-sequence AMR parsing with ancestor information C Yu, D Gildea Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 17 | 2022 |
| Adversarially trained model compression: When robustness meets efficiency S Gui, H Wang, C Yu, H Yang, Z Wang, J Liu arXiv preprint arXiv:1902.03538, 2019 | 12 | 2019 |
| Automl from service provider’s perspective: Multi-device, multi-tenant model selection with gp-ei C Yu, B Karlaš, J Zhong, C Zhang, J Liu The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 6 | 2019 |
| Multi-device, multitenant model selection with gp-ei C Yu, B Karlas, J Zhong, C Zhang, J Liu arXiv preprint arXiv:1803.06561, 2018 | 2 | 2018 |
| Improving Natural Language Processing: From Adding Graph Structure to Distributed Learning C Yu University of Rochester, 2023 | | 2023 |
| Strictly Breadth-First AMR Parsing C Yu, D Gildea arXiv preprint arXiv:2211.03922, 2022 | | 2022 |
| P-MCGS: Parallel Monte Carlo Acyclic Graph Search. C Yu, J Chen, J Zhong, J Liu arXiv preprint arXiv:1810.11755, 2018 | | 2018 |
| An attribute switching mechanism for mobile networks C Yu, W Li 2016 IEEE International Conference on Network Infrastructure and Digital …, 2016 | | 2016 |
