| Learning deep structured semantic models for web search using clickthrough data PS Huang, X He, J Gao, L Deng, A Acero, L Heck Proceedings of the 22nd ACM international conference on Information …, 2013 | 1906 | 2013 |
| Joint optimization of masks and deep recurrent neural networks for monaural source separation PS Huang, M Kim, M Hasegawa-Johnson, P Smaragdis IEEE/ACM Transactions on Audio, Speech, and Language Processing 23 (12 …, 2015 | 492 | 2015 |
| DEEP LEARNING FOR MONAURAL SPEECH SEPARATION PS Huang, M Kim, M Hasegawa-Johnson, P Smaragdis ICASSP 1, 2014 | 476 | 2014 |
| SINGING-VOICE SEPARATION FROM MONAURAL RECORDINGS USING ROBUST PRINCIPAL COMPONENT ANALYSIS PS Huang, SD Chen, P Smaragdis, M Hasegawa-Johnson | 410 | 2012 |
| Reasonet: Learning to stop reading in machine comprehension Y Shen, PS Huang, J Gao, W Chen Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017 | 311 | 2017 |
| Are Labels Required for Improving Adversarial Robustness? J Uesato, JB Alayrac, PS Huang, A Fawzi, R Stanforth, P Kohli Advances in Neural Information Processing Systems, 12192-12202, 2019 | 265* | 2019 |
| Scaling language models: Methods, analysis & insights from training gopher JW Rae, S Borgeaud, T Cai, K Millican, J Hoffmann, F Song, J Aslanides, ... arXiv preprint arXiv:2112.11446, 2021 | 251 | 2021 |
| Taxonomy of risks posed by language models L Weidinger, J Uesato, M Rauh, C Griffin, PS Huang, J Mellor, A Glaese, ... 2022 ACM Conference on Fairness, Accountability, and Transparency, 214-229, 2022 | 164* | 2022 |
| Singing-Voice Separation from Monaural Recordings using Deep Recurrent Neural Networks. PS Huang, M Kim, M Hasegawa-Johnson, P Smaragdis ISMIR, 477-482, 2014 | 164 | 2014 |
| Kernel methods match deep neural networks on timit PS Huang, H Avron, TN Sainath, V Sindhwani, B Ramabhadran 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 152 | 2014 |
| Competition-level code generation with alphacode Y Li, D Choi, J Chung, N Kushman, J Schrittwieser, R Leblond, T Eccles, ... Science 378 (6624), 1092-1097, 2022 | 132 | 2022 |
| M-walk: Learning to walk over graphs using monte carlo tree search Y Shen, J Chen, PS Huang, Y Guo, J Gao Advances in Neural Information Processing Systems 31, 2018 | 127* | 2018 |
| Achieving verified robustness to symbol substitutions via interval bound propagation PS Huang, R Stanforth, J Welbl, C Dyer, D Yogatama, S Gowal, ... arXiv preprint arXiv:1909.01492, 2019 | 124 | 2019 |
| Natural language to structured query generation via meta-learning PS Huang, C Wang, R Singh, W Yih, X He arXiv preprint arXiv:1803.02400, 2018 | 117 | 2018 |
| Reducing sentiment bias in language models via counterfactual evaluation PS Huang, H Zhang, R Jiang, R Stanforth, J Welbl, J Rae, V Maini, ... arXiv preprint arXiv:1911.03064, 2019 | 94 | 2019 |
| Towards Neural Phrase-based Machine Translation PS Huang, C Wang, D Zhou, L Deng arXiv preprint arXiv:1706.05565, 2017 | 91 | 2017 |
| Discourse-aware neural rewards for coherent text generation A Bosselut, A Celikyilmaz, X He, J Gao, PS Huang, Y Choi arXiv preprint arXiv:1805.03766, 2018 | 77 | 2018 |
| Robust text-to-sql generation with execution-guided decoding C Wang, K Tatwawadi, M Brockschmidt, PS Huang, Y Mao, O Polozov, ... arXiv preprint arXiv:1807.03100, 2018 | 73 | 2018 |
| Two-stage synthesis networks for transfer learning in machine comprehension D Golub, PS Huang, X He, L Deng arXiv preprint arXiv:1706.09789, 2017 | 60 | 2017 |
| Deep structured semantic model produced using click-through data P Huang, X He, J Gao, L Deng, A Acero, LP Heck US Patent 9,519,859, 2016 | 60 | 2016 |
Jianfeng GaoMicrosoft Research, RedmondVerified email at microsoft.com
