| Faster ridge regression via the subsampled randomized hadamard transform Y Lu, P Dhillon, DP Foster, L Ungar Advances in neural information processing systems 26, 2013 | 140 | 2013 |
| A neural interlingua for multilingual machine translation Y Lu, P Keung, F Ladhak, V Bhardwaj, S Zhang, J Sun arXiv preprint arXiv:1804.08198, 2018 | 97 | 2018 |
| New subsampling algorithms for fast least squares regression P Dhillon, Y Lu, DP Foster, L Ungar Advances in neural information processing systems 26, 2013 | 89 | 2013 |
| Finding linear structure in large datasets with scalable canonical correlation analysis Z Ma, Y Lu, D Foster International conference on machine learning, 169-178, 2015 | 88 | 2015 |
| The multilingual amazon reviews corpus P Keung, Y Lu, G Szarvas, NA Smith arXiv preprint arXiv:2010.02573, 2020 | 74 | 2020 |
| Adversarial learning with contextual embeddings for zero-resource cross-lingual classification and NER P Keung, Y Lu, V Bhardwaj arXiv preprint arXiv:1909.00153, 2019 | 62 | 2019 |
| Large scale canonical correlation analysis with iterative least squares Y Lu, DP Foster Advances in Neural Information Processing Systems 27, 2014 | 45 | 2014 |
| Don't Use English Dev: On the Zero-Shot Cross-Lingual Evaluation of Contextual Embeddings P Keung, Y Lu, J Salazar, V Bhardwaj arXiv preprint arXiv:2004.15001, 2020 | 31 | 2020 |
| Unsupervised bitext mining and translation via self-trained contextual embeddings P Keung, J Salazar, Y Lu, NA Smith Transactions of the Association for Computational Linguistics 8, 828-841, 2021 | 20 | 2021 |
| A practical approach to dialogue response generation in closed domains Y Lu, P Keung, S Zhang, J Sun, V Bhardwaj arXiv preprint arXiv:1703.09439, 2017 | 15 | 2017 |
| Goal-oriented end-to-end conversational models with profile features in a real-world setting Y Lu, M Srivastava, J Kramer, H Elfardy, A Kahn, S Wang, V Bhardwaj Proceedings of the 2019 Conference of the North American Chapter of the …, 2019 | 12 | 2019 |
| Fast ridge regression with randomized principal component analysis and gradient descent Y Lu, DP Foster arXiv preprint arXiv:1405.3952, 2014 | 11 | 2014 |
| Automated Service Agent RP Thibaut Labarre, Hung Chiu Phillip Keung, Yichao Lu US Patent 10,382,370, 2019 | 10* | 2019 |
| Attentional speech recognition models misbehave on out-of-domain utterances P Keung, W Niu, Y Lu, J Salazar, V Bhardwaj arXiv preprint arXiv:2002.05150, 2020 | 9 | 2020 |
| Weakly supervised extractive summarization with attention Y Zhuang, Y Lu, S Wang Proceedings of the 22nd Annual Meeting of the Special Interest Group on …, 2021 | 2 | 2021 |
| Pretrain-Finetune Based Training of Task-Oriented Dialogue Systems in a Real-World Setting M Srivastava, Y Lu, R Peschon, C Li Proceedings of the 2021 Conference of the North American Chapter of the …, 2021 | 2 | 2021 |
| Optimal Weighting of Multi-View Data with Low Dimensional Hidden States Y Lu, DP Foster arXiv preprint arXiv:1209.5477, 2012 | 1 | 2012 |
| Unsupervised bitext mining and translation via self-trained contextual embeddings Y Lu, P Keung, J Salazar, N Smith | | 2020 |
| Goal-oriented end-to-end chatbots with profile features in a real-world setting Y Lu, M Srivastava, J Kramer, A Kahn, H Elfardy, S Wang, V Bhardwaj | | 2019 |
| Fast linear algorithms for machine learning Y Lu University of Pennsylvania, 2015 | | 2015 |
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