Follow
Jianfeng Gao
Jianfeng Gao
Microsoft Research, Redmond
Verified email at microsoft.com - Homepage
Title
Cited by
Cited by
Year
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
21692014
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
18392016
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
17982013
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
17602015
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
16742016
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
14292015
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
1326*2014
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
1297*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
12892016
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
12412019
A persona-based neural conversation model
J Li, M Galley, C Brockett, GP Spithourakis, J Gao, B Dolan
arXiv preprint arXiv:1603.06155, 2016
10282016
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
9772015
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
Advances in Neural Information Processing Systems 32, 2019
9662019
Multi-task deep neural networks for natural language understanding
X Liu, P He, W Chen, J Gao
arXiv preprint arXiv:1901.11504, 2019
9622019
Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks
X Li, X Yin, C Li, P Zhang, X Hu, L Zhang, L Wang, H Hu, L Dong, F Wei, ...
European Conference on Computer Vision, 121-137, 2020
8402020
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
8332016
Dialogpt: Large-scale generative pre-training for conversational response generation
Y Zhang, S Sun, M Galley, YC Chen, C Brockett, X Gao, J Gao, J Liu, ...
arXiv preprint arXiv:1911.00536, 2019
7262019
Adapting boosting for information retrieval measures
Q Wu, CJC Burges, KM Svore, J Gao
Information Retrieval 13 (3), 254-270, 2010
725*2010
Scalable training of L1-regularized log-linear models
G Andrew, J Gao
Proceedings of the 24th international conference on Machine learning, 33-40, 2007
7182007
Semantic parsing via staged query graph generation: Question answering with knowledge base
SW Yih, MW Chang, X He, J Gao
Proceedings of the Joint Conference of the 53rd Annual Meeting of the ACL …, 2015
6842015
The system can't perform the operation now. Try again later.
Articles 1–20