| COVID-CT-dataset: a CT scan dataset about COVID-19 X Yang, X He, J Zhao, Y Zhang, S Zhang, P Xie ArXiv e-prints, arXiv: 2003.13865, 2020 | 733* | 2020 |
| COVID-CT-dataset: a CT scan dataset about COVID-19 X Yang, X He, J Zhao, Y Zhang, S Zhang, P Xie ArXiv e-prints, arXiv: 2003.13865, 2020 | 733* | 2020 |
| COVID-CT-dataset: a CT scan dataset about COVID-19 X Yang, X He, J Zhao, Y Zhang, S Zhang, P Xie ArXiv e-prints, arXiv: 2003.13865, 2020 | 733* | 2020 |
| Petuum: A new platform for distributed machine learning on big data EP Xing, Q Ho, W Dai, JK Kim, J Wei, S Lee, X Zheng, P Xie, A Kumar, ... Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015 | 551 | 2015 |
| COVID-CT-Dataset: a CT scan dataset about COVID-19 J Zhao, Y Zhang, X He, P Xie arXiv preprint arXiv:2003.13865, 2020 | 486 | 2020 |
| On the automatic generation of medical imaging reports B Jing, P Xie, E Xing arXiv preprint arXiv:1711.08195, 2017 | 352 | 2017 |
| Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters. H Zhang, Z Zheng, S Xu, W Dai, Q Ho, X Liang, Z Hu, J Wei, P Xie, ... USENIX Annual Technical Conference 1 (1), 1.2, 2017 | 329 | 2017 |
| Sample-efficient deep learning for COVID-19 diagnosis based on CT scans X He, X Yang, S Zhang, J Zhao, Y Zhang, E Xing, P Xie medrxiv, 2020 | 323 | 2020 |
| Integrating Document Clustering and Topic Modeling P Xie, E Xing 29th International Conference on Uncertainty in Artificial Intelligence (UAI …, 2013 | 228 | 2013 |
| CERT: Contrastive Self-supervised Learning for Language Understanding H Fang, P Xie Transactions of the Association for Computational Linguistics, 2022 | 183 | 2022 |
| Crypto-nets: Neural networks over encrypted data P Xie, M Bilenko, T Finley, R Gilad-Bachrach, K Lauter, M Naehrig arXiv preprint arXiv:1412.6181, 2014 | 167 | 2014 |
| Strategies and principles of distributed machine learning on big data EP Xing, Q Ho, P Xie, D Wei Engineering 2 (2), 179-195, 2016 | 158 | 2016 |
| Towards automated ICD coding using deep learning H Shi, P Xie, Z Hu, M Zhang, EP Xing arXiv preprint arXiv:1711.04075, 2017 | 147 | 2017 |
| Incorporating Word Correlation Knowledge into Topic Modeling P Xie, D Yang, EP Xing Conference of the North American Chapter of the Association for …, 2015 | 113 | 2015 |
| A neural architecture for automated ICD coding P Xie, E Xing Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018 | 91 | 2018 |
| Diversifying restricted boltzmann machine for document modeling P Xie, Y Deng, E Xing Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015 | 87 | 2015 |
| Neural networks for encrypted data R Gilad-Bachrach, TW Finley, M Bilenko, P Xie US Patent 9,946,970, 2018 | 72 | 2018 |
| Multi-Modal Distance Metric Learning P Xie, E Xing 23rd International Joint Conference on Artificial Intelligence (IJCAI 2013), 2013 | 66 | 2013 |
| Effective use of bidirectional language modeling for transfer learning in biomedical named entity recognition DS Sachan, P Xie, M Sachan, EP Xing Machine learning for healthcare conference, 383-402, 2018 | 65 | 2018 |
| Multimodal machine learning for automated ICD coding K Xu, M Lam, J Pang, X Gao, C Band, P Mathur, F Papay, AK Khanna, ... Machine learning for healthcare conference, 197-215, 2019 | 64 | 2019 |
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon Ucs.cmu.edu의 이메일 확인됨
