| Stacked attention networks for image question answering Z Yang, X He, J Gao, L Deng, A Smola Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 1332 | 2016 |
| 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 | 1274 | 2013 |
| From captions to visual concepts and back H Fang, S Gupta, F Iandola, RK Srivastava, L Deng, P Dollįr, J Gao, X He, ... Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 1170 | 2015 |
| A diversity-promoting objective function for neural conversation models J Li, M Galley, C Brockett, J Gao, B Dolan arXiv preprint arXiv:1510.03055, 2015 | 1070 | 2015 |
| Embedding entities and relations for learning and inference in knowledge bases B Yang, W Yih, X He, J Gao, L Deng arXiv preprint arXiv:1412.6575, 2014 | 1037 | 2014 |
| A latent semantic model with convolutional-pooling structure for information retrieval Y Shen, X He, J Gao, L Deng, G Mesnil Proceedings of the 23rd ACM international conference on conference on …, 2014 | 1007* | 2014 |
| Ms-celeb-1m: A dataset and benchmark for large-scale face recognition Y Guo, L Zhang, Y Hu, X He, J Gao European conference on computer vision, 87-102, 2016 | 993 | 2016 |
| Deep reinforcement learning for dialogue generation J Li, W Monroe, A Ritter, M Galley, J Gao, D Jurafsky arXiv preprint arXiv:1606.01541, 2016 | 882 | 2016 |
| A neural network approach to context-sensitive generation of conversational responses A Sordoni, M Galley, M Auli, C Brockett, Y Ji, M Mitchell, JY Nie, J Gao, ... arXiv preprint arXiv:1506.06714, 2015 | 784 | 2015 |
| A persona-based neural conversation model J Li, M Galley, C Brockett, GP Spithourakis, J Gao, B Dolan arXiv preprint arXiv:1603.06155, 2016 | 742 | 2016 |
| MS MARCO: A human generated machine reading comprehension dataset T Nguyen, M Rosenberg, X Song, J Gao, S Tiwary, R Majumder, L Deng CoCo@ NIPS, 2016 | 648* | 2016 |
| Scalable training of L1-regularized log-linear models G Andrew, J Gao Proceedings of the 24th international conference on Machine learning, 33-40, 2007 | 624 | 2007 |
| Deep sentence embedding using long short-term memory networks: Analysis and application to information retrieval H Palangi, L Deng, Y Shen, J Gao, X He, J Chen, X Song, R Ward IEEE/ACM Transactions on Audio, Speech, and Language Processing 24 (4), 694-707, 2016 | 623 | 2016 |
| Adapting boosting for information retrieval measures Q Wu, CJC Burges, KM Svore, J Gao Information Retrieval 13 (3), 254-270, 2010 | 605* | 2010 |
| Domain adaptation via pseudo in-domain data selection A Axelrod, X He, J Gao Proceedings of the 2011 conference on empirical methods in natural language …, 2011 | 519 | 2011 |
| Selecting good expansion terms for pseudo-relevance feedback G Cao, JY Nie, J Gao, S Robertson Proceedings of the 31st annual international ACM SIGIR conference on …, 2008 | 491 | 2008 |
| Multi-task deep neural networks for natural language understanding X Liu, P He, W Chen, J Gao arXiv preprint arXiv:1901.11504, 2019 | 469 | 2019 |
| On the variance of the adaptive learning rate and beyond L Liu, H Jiang, P He, W Chen, X Liu, J Gao, J Han arXiv preprint arXiv:1908.03265, 2019 | 455 | 2019 |
| Semantic parsing via staged query graph generation: Question answering with knowledge base SW Yih, MW Chang, X He, J Gao | 450 | 2015 |
| Unified language model pre-training for natural language understanding and generation L Dong, N Yang, W Wang, F Wei, X Liu, Y Wang, J Gao, M Zhou, HW Hon arXiv preprint arXiv:1905.03197, 2019 | 356 | 2019 |
