| Hierarchical attention networks for document classification Z Yang, D Yang, C Dyer, X He, A Smola, E Hovy Proceedings of the 2016 conference of the North American chapter of the …, 2016 | 5417 | 2016 |
| Bottom-up and top-down attention for image captioning and visual question answering P Anderson, X He, C Buehler, D Teney, M Johnson, S Gould, L Zhang Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 4696 | 2018 |
| Embedding entities and relations for learning and inference in knowledge bases B Yang, W Yih, X He, J Gao, L Deng ICLR 2015, 2014 | 3040 | 2014 |
| 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 | 2123 | 2013 |
| 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 | 2119 | 2016 |
| 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 | 2005 | 2016 |
| Attngan: Fine-grained text to image generation with attentional generative adversarial networks T Xu, P Zhang, Q Huang, H Zhang, Z Gan, X Huang, X He Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 1659 | 2018 |
| From captions to visual concepts and back H Fang, S Gupta, F Iandola, RK Srivastava, L Deng, P Dollár, J Gao, X He, ... Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 1557 | 2015 |
| Learning semantic representations using convolutional neural networks for web search Y Shen, X He, J Gao, L Deng, G Mesnil Proceedings of the 23rd international conference on world wide web, 373-374, 2014 | 1489* | 2014 |
| Stacked cross attention for image-text matching KH Lee, X Chen, G Hua, H Hu, X He Proceedings of the European conference on computer vision (ECCV), 201-216, 2018 | 1076 | 2018 |
| Recent advances in deep learning for speech research at Microsoft L Deng, J Li, JT Huang, K Yao, D Yu, F Seide, M Seltzer, G Zweig, X He, ... 2013 IEEE international conference on acoustics, speech and signal …, 2013 | 983 | 2013 |
| 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 | 958 | 2016 |
| Semantic parsing via staged query graph generation: Question answering with knowledge base SW Yih, MW Chang, X He, J Gao ACL-IJCNLP 2015, 1321–1331, 2015 | 796 | 2015 |
| A multi-view deep learning approach for cross domain user modeling in recommendation systems AM Elkahky, Y Song, X He Proceedings of the 24th international conference on world wide web, 278-288, 2015 | 726 | 2015 |
| Using recurrent neural networks for slot filling in spoken language understanding G Mesnil, Y Dauphin, K Yao, Y Bengio, L Deng, D Hakkani-Tur, X He, ... IEEE/ACM Transactions on Audio, Speech, and Language Processing 23 (3), 530-539, 2014 | 726 | 2014 |
| From Eliza to XiaoIce: challenges and opportunities with social chatbots HY Shum, X He, D Li Frontiers of Information Technology & Electronic Engineering 19, 10-26, 2018 | 673* | 2018 |
| 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 | 644 | 2011 |
| A corpus and cloze evaluation for deeper understanding of commonsense stories N Mostafazadeh, N Chambers, X He, D Parikh, D Batra, L Vanderwende, ... Proceedings of the 2016 Conference of the North American Chapter of the …, 2016 | 624 | 2016 |
| Investigation of recurrent-neural-network architectures and learning methods for spoken language understanding. G Mesnil, X He, L Deng, Y Bengio Interspeech, 3771-3775, 2013 | 583 | 2013 |
| Deep learning with low precision by half-wave gaussian quantization Z Cai, X He, J Sun, N Vasconcelos Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 537 | 2017 |
Li DengChief AI Officer, Citadel (former)Email confirmado em ieee.org
