| Action-conditional video prediction using deep networks in atari games J Oh, X Guo, H Lee, RL Lewis, S Singh Advances in neural information processing systems 28, 2015 | 1084 | 2015 |
| Convolutional neural networks for steady flow approximation X Guo, W Li, F Iorio Proceedings of the 22nd ACM SIGKDD international conference on knowledge …, 2016 | 898 | 2016 |
| Deep learning for real-time Atari game play using offline Monte-Carlo tree search planning X Guo, S Singh, H Lee, RL Lewis, X Wang Advances in neural information processing systems 27, 2014 | 460 | 2014 |
| R3: Reinforced Ranker-Reader for Open-Domain Question Answering S Wang, M Yu, X Guo, Z Wang, T Klinger, W Zhang, S Chang, G Tesauro, ... Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 395 | 2018 |
| Dilated recurrent neural networks S Chang, Y Zhang, W Han, M Yu, X Guo, W Tan, X Cui, M Witbrock, ... Advances in neural information processing systems 30, 2017 | 371 | 2017 |
| Deepcas: An end-to-end predictor of information cascades C Li, J Ma, X Guo, Q Mei Proceedings of the 26th international conference on World Wide Web, 577-586, 2017 | 363 | 2017 |
| Diverse Few-Shot Text Classification with Multiple Metrics M Yu, X Guo, J Yi, S Chang, S Potdar, Y Cheng, G Tesauro, H Wang, ... NAACL 2018, 2018 | 299 | 2018 |
| Fashion iq: A new dataset towards retrieving images by natural language feedback H Wu, Y Gao, X Guo, Z Al-Halah, S Rennie, K Grauman, R Feris Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 288* | 2021 |
| One-Shot Relational Learning for Knowledge Graphs W Xiong, M Yu, S Chang, X Guo, WY Wang EMNLP 2018, 2018 | 286 | 2018 |
| Dialog-based Interactive Image Retrieval X Guo, H Wu, Y Cheng, S Rennie, G Tesauro, RS Feris Advances in Neural Information Processing Systems, 2018, 2018 | 206 | 2018 |
| Evidence aggregation for answer re-ranking in open-domain question answering S Wang, M Yu, J Jiang, W Zhang, X Guo, S Chang, Z Wang, T Klinger, ... arXiv preprint arXiv:1711.05116, 2017 | 204 | 2017 |
| Eigenoption Discovery through the Deep Successor Representation MC Machado, C Rosenbaum, X Guo, M Liu, G Tesauro, M Campbell International Conference on Learning Representations (ICLR), 2018 | 173 | 2018 |
| Improving question answering over incomplete kbs with knowledge-aware reader W Xiong, M Yu, S Chang, X Guo, WY Wang arXiv preprint arXiv:1905.07098, 2019 | 154 | 2019 |
| Sentence embedding alignment for lifelong relation extraction H Wang, W Xiong, M Yu, X Guo, S Chang, WY Wang arXiv preprint arXiv:1903.02588, 2019 | 129 | 2019 |
| Extracting multiple-relations in one-pass with pre-trained transformers H Wang, M Tan, M Yu, S Chang, D Wang, K Xu, X Guo, S Potdar arXiv preprint arXiv:1902.01030, 2019 | 124 | 2019 |
| Deep memory networks for attitude identification C Li, X Guo, Q Mei Proceedings of the tenth ACM international conference on web search and data …, 2017 | 88 | 2017 |
| TWEETQA: A social media focused question answering dataset W Xiong, J Wu, H Wang, V Kulkarni, M Yu, S Chang, X Guo, WY Wang arXiv preprint arXiv:1907.06292, 2019 | 77 | 2019 |
| Self-supervised learning for contextualized extractive summarization H Wang, X Wang, W Xiong, M Yu, X Guo, S Chang, WY Wang arXiv preprint arXiv:1906.04466, 2019 | 72 | 2019 |
| Attend to count: Crowd counting with adaptive capacity multi-scale CNNs Z Zou, Y Cheng, X Qu, S Ji, X Guo, P Zhou Neurocomputing 367, 75-83, 2019 | 65 | 2019 |
| A hybrid approach with optimization-based and metric-based meta-learner for few-shot learning D Wang, Y Cheng, M Yu, X Guo, T Zhang Neurocomputing 349, 202-211, 2019 | 61 | 2019 |
