| Joint Training for Pivot-based Neural Machine Translation. Y Cheng, Q Yang, Y Liu, M Sun, W Xu IJCAI, 3974-3980, 2017 | 107 | 2017 |
| Decoupled parallel backpropagation with convergence guarantee Z Huo, B Gu, Q Yang, H Huang International Conference on Machine Learning, 2098-2106, 2018 | 99 | 2018 |
| Flop: Federated learning on medical datasets using partial networks Q Yang, J Zhang, W Hao, GP Spell, L Carin Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 91 | 2021 |
| Faster on-device training using new federated momentum algorithm Z Huo, Q Yang, B Gu, LC Huang arXiv preprint arXiv:2002.02090, 2020 | 55 | 2020 |
| Peak: Pyramid evaluation via automated knowledge extraction Q Yang, R Passonneau, G De Melo Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 52 | 2016 |
| An end-to-end generative architecture for paraphrase generation Q Yang, Z Huo, D Shen, Y Cheng, W Wang, G Wang, L Carin Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 45 | 2019 |
| Neural machine translation with pivot languages Y Cheng, Y Liu, Q Yang, M Sun, W Xu arXiv preprint arXiv:1611.04928, 2016 | 37 | 2016 |
| Learning Compressed Sentence Representations for On-Device Text Processing LC Dinghan Shen, Pengyu Cheng, Dhanasekar Sundararaman, Xinyuan Zhang, Qian ... arXiv preprint arXiv:1906.08340, 2019 | 32 | 2019 |
| Wise crowd content assessment and educational rubrics RJ Passonneau, A Poddar, G Gite, A Krivokapic, Q Yang, D Perin International Journal of Artificial Intelligence in Education 28, 29-55, 2018 | 27 | 2018 |
| HiText: Text reading with dynamic salience marking Q Yang, G de Melo, Y Cheng, S Wang Proceedings of the 26th International Conference on World Wide Web Companion …, 2017 | 19 | 2017 |
| Graph-driven generative models for heterogeneous multi-task learning W Wang, H Xu, Z Gan, B Li, G Wang, L Chen, Q Yang, W Wang, L Carin Proceedings of the AAAI Conference on Artificial Intelligence 34 (01), 979-988, 2020 | 18 | 2020 |
| Improving textual network learning with variational homophilic embeddings W Wang, C Tao, Z Gan, G Wang, L Chen, X Zhang, R Zhang, Q Yang, ... Advances in Neural Information Processing Systems 32, 2019 | 17 | 2019 |
| Improving text generation with student-forcing optimal transport J Li, C Li, G Wang, H Fu, Y Lin, L Chen, Y Zhang, C Tao, R Zhang, ... Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 15 | 2020 |
| Ouroboros: On accelerating training of transformer-based language models Q Yang, Z Huo, W Wang, L Carin Advances in Neural Information Processing Systems 32, 2019 | 7 | 2019 |
| Semi-loss-tolerant strong coin flipping protocol using EPR pairs JJ Ma, FZ Guo, Q Yang, YB Li, QY Wen arXiv preprint arXiv:1107.1455, 2011 | 6 | 2011 |
| Semi-loss-tolerant strong quantum coin-flipping protocol using quantum non-demolition measurement Q Yang, JJ Ma, FZ Guo, QY Wen Quantum information processing 13, 1537-1544, 2014 | 1 | 2014 |
| Fair loss-tolerant and quantum-memory-loss-sensitive SCF protocol based on EPR pair JJ Ma, FZ Guo, Q Yang, YB Li, QY Wen Available as arXiv. org e-Print quant-ph/1107.1455, 2011 | 1 | 2011 |
| 基于 IEC62056 标准的 AMI 系统密钥管理研究 尹建丰， 施爱博， 杨茜， 张晓航， 黄柳胜， 季海涛 电测与仪表 53 (2), 2016 | | 2016 |
Lawrence CarinDuke UniversityGeverifieerd e-mailadres voor duke.edu