| 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 | 1211 | 2013 |
| DEEP LEARNING FOR MONAURAL SPEECH SEPARATION PS Huang, M Kim, M Hasegawa-Johnson, P Smaragdis ICASSP 1, 2014 | 358 | 2014 |
| 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 | 346 | 2015 |
| SINGING-VOICE SEPARATION FROM MONAURAL RECORDINGS USING ROBUST PRINCIPAL COMPONENT ANALYSIS PS Huang, SD Chen, P Smaragdis, M Hasegawa-Johnson | 345 | 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 | 246 | 2017 |
| Singing-Voice Separation from Monaural Recordings using Deep Recurrent Neural Networks. PS Huang, M Kim, M Hasegawa-Johnson, P Smaragdis ISMIR, 477-482, 2014 | 137 | 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 | 131 | 2014 |
| 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 | 88* | 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 | 69 | 2018 |
| Towards Neural Phrase-based Machine Translation PS Huang, C Wang, D Zhou, L Deng arXiv preprint arXiv:1706.05565, 2017 | 65 | 2017 |
| A block-based 2D-to-3D conversion system with bilateral filter CC Cheng, CT Li, PS Huang, TK Lin, YM Tsai, LG Chen 2009 Digest of Technical Papers International Conference on Consumer …, 2009 | 56 | 2009 |
| 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, 6786-6797, 2018 | 50* | 2018 |
| 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 | 40 | 2018 |
| Predicting speech recognition confidence using deep learning with word identity and score features PS Huang, K Kumar, C Liu, Y Gong, L Deng 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 39 | 2013 |
| Traversing knowledge graph in vector space without symbolic space guidance Y Shen, PS Huang, MW Chang, J Gao arXiv preprint arXiv:1611.04642, 2016 | 38* | 2016 |
| Random features for kernel deep convex network PS Huang, L Deng, M Hasegawa-Johnson, X He 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 37 | 2013 |
| 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 | 36 | 2019 |
| Two-stage synthesis networks for transfer learning in machine comprehension D Golub, PS Huang, X He, L Deng arXiv preprint arXiv:1706.09789, 2017 | 30 | 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 | 29 | 2016 |
| Execution-guided neural program decoding C Wang, PS Huang, A Polozov, M Brockschmidt, R Singh ICML workshop on Neural Abstract Machines and Program Induction v2 (NAMPI), 2018 | 27 | 2018 |
Jianfeng GaoMicrosoft Research, RedmondVerified email at microsoft.com
