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 | 913 | 2016 |
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 | 781 | 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 | 752 | 2014 |
Lora: Low-rank adaptation of large language models EJ Hu, Y Shen, P Wallis, Z Allen-Zhu, Y Li, S Wang, L Wang, W Chen arXiv preprint arXiv:2106.09685, 2021 | 402 | 2021 |
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 | 318 | 2017 |
Modeling interestingness with deep neural networks J Gao, P Pantel, M Gamon, X He, L Deng Proceedings of the 2014 conference on empirical methods in natural language …, 2014 | 281 | 2014 |
Stochastic answer networks for machine reading comprehension X Liu, Y Shen, K Duh, J Gao arXiv preprint arXiv:1712.03556, 2017 | 219 | 2017 |
Fusionnet: Fusing via fully-aware attention with application to machine comprehension HY Huang, C Zhu, Y Shen, W Chen arXiv preprint arXiv:1711.07341, 2017 | 196 | 2017 |
Storygan: A sequential conditional gan for story visualization Y Li, Z Gan, Y Shen, J Liu, Y Cheng, Y Wu, L Carin, D Carlson, J Gao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 140 | 2019 |
Learning personal+ social latent factor model for social recommendation Y Shen, R Jin Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012 | 125 | 2012 |
The extracellular signal-regulated kinase pathway contributes to the control of behavioral excitement SR Engel, TK Creson, Y Hao, Y Shen, S Maeng, T Nekrasova, ... Molecular psychiatry 14 (4), 448-461, 2009 | 123 | 2009 |
Mart: Memory-augmented recurrent transformer for coherent video paragraph captioning J Lei, L Wang, Y Shen, D Yu, TL Berg, M Bansal arXiv preprint arXiv:2005.05402, 2020 | 121 | 2020 |
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 | 120 | 2018 |
Generation-augmented retrieval for open-domain question answering Y Mao, P He, X Liu, Y Shen, J Gao, J Han, W Chen arXiv preprint arXiv:2009.08553, 2020 | 96 | 2020 |
Semantic modelling with long-short-term memory for information retrieval H Palangi, L Deng, Y Shen, J Gao, X He, J Chen, X Song, R Ward arXiv preprint arXiv:1412.6629, 2014 | 93 | 2014 |
Language-based image editing with recurrent attentive models J Chen, Y Shen, J Gao, J Liu, X Liu Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 91 | 2018 |
A simple but tough-to-beat data augmentation approach for natural language understanding and generation D Shen, M Zheng, Y Shen, Y Qu, W Chen arXiv preprint arXiv:2009.13818, 2020 | 82 | 2020 |
Reliable clustering on uncertain graphs L Liu, R Jin, C Aggarwal, Y Shen 2012 IEEE 12th international conference on data mining, 459-468, 2012 | 80 | 2012 |
Reliable clustering on uncertain graphs L Liu, R Jin, C Aggarwal, Y Shen 2012 IEEE 12th international conference on data mining, 459-468, 2012 | 80 | 2012 |
A hybrid retrieval-generation neural conversation model L Yang, J Hu, M Qiu, C Qu, J Gao, WB Croft, X Liu, Y Shen, J Liu Proceedings of the 28th ACM international conference on information and …, 2019 | 79 | 2019 |