| Deep modular co-attention networks for visual question answering Z Yu, J Yu, Y Cui, D Tao, Q Tian Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 996 | 2019 |
| Check your facts and try again: Improving large language models with external knowledge and automated feedback B Peng, M Galley, P He, H Cheng, Y Xie, Y Hu, Q Huang, L Liden, Z Yu, ... arXiv preprint arXiv:2302.12813, 2023 | 380 | 2023 |
| Persuasion for Good: Towards a Personalized Persuasive Dialogue System for Social Good X Wang, W Shi, R Kim, Y Oh, S Yang, J Zhang, Z Yu ACL, 2019 | 301 | 2019 |
| Artificial intelligence chatbot behavior change model for designing artificial intelligence chatbots to promote physical activity and a healthy diet J Zhang, YJ Oh, P Lange, Z Yu, Y Fukuoka Journal of medical Internet research 22 (9), e22845, 2020 | 281 | 2020 |
| Towards emotional support dialog systems S Liu, C Zheng, O Demasi, S Sabour, Y Li, Z Yu, Y Jiang, M Huang arXiv preprint arXiv:2106.01144, 2021 | 248 | 2021 |
| Task-oriented dialog systems that consider multiple appropriate responses under the same context Y Zhang, Z Ou, Z Yu Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 9604-9611, 2020 | 183 | 2020 |
| Strategy and Policy Learning for Non-Task-Oriented Conversational Systems Z Yu, X Ziyu, A Black, A Rudnicky ACM SIG Meetings on Discourse and Dialogue, 2016 | 148 | 2016 |
| Sparse multi-modal hashing YZ Fei Wu, Zhou Yu, Yi Yang, Siliang Tang, Yin Zhang IEEE Transactions on Multimedia, 2014 | 148* | 2014 |
| Domain adaptive dialog generation via meta learning K Qian, Z Yu arXiv preprint arXiv:1906.03520, 2019 | 144 | 2019 |
| Rethinking diversified and discriminative proposal generation for visual grounding Z Yu, J Yu, C Xiang, Z Zhao, Q Tian, D Tao arXiv preprint arXiv:1805.03508, 2018 | 140 | 2018 |
| Iconqa: A new benchmark for abstract diagram understanding and visual language reasoning P Lu, L Qiu, J Chen, T Xia, Y Zhao, W Zhang, Z Yu, X Liang, SC Zhu arXiv preprint arXiv:2110.13214, 2021 | 137 | 2021 |
| Using Bidirectional LSTM Recurrent Neural Networks to Learn High-Level Abstractions of Sequential Features for Automated Scoring of Non-Native Spontaneous Speech Z Yu, V Ramanarayanan, D Suendermann-Oeft, X Wang, K Zechner, ... ASRU 2015, 2015 | 135 | 2015 |
| Inspired: Toward sociable recommendation dialog systems SA Hayati, D Kang, Q Zhu, W Shi, Z Yu arXiv preprint arXiv:2009.14306, 2020 | 129 | 2020 |
| Spoken language interaction with robots: Recommendations for future research M Marge, C Espy-Wilson, NG Ward, A Alwan, Y Artzi, M Bansal, ... Computer Speech & Language 71, 101255, 2022 | 124 | 2022 |
| Continual learning in task-oriented dialogue systems A Madotto, Z Lin, Z Zhou, S Moon, P Crook, B Liu, Z Yu, E Cho, Z Wang arXiv preprint arXiv:2012.15504, 2020 | 115 | 2020 |
| Effects of persuasive dialogues: testing bot identities and inquiry strategies W Shi, X Wang, YJ Oh, J Zhang, S Sahay, Z Yu Proceedings of the 2020 CHI conference on human factors in computing systems …, 2020 | 102 | 2020 |
| Gunrock: Building a human-like social bot by leveraging large scale real user data CY Chen, D Yu, W Wen, YM Yang, J Zhang, M Zhou, K Jesse, A Chau, ... Alexa prize proceedings, 2018 | 96 | 2018 |
| A visual attention grounding neural model for multimodal machine translation M Zhou, R Cheng, YJ Lee, Z Yu arXiv preprint arXiv:1808.08266, 2018 | 94 | 2018 |
| Leveraging slot descriptions for zero-shot cross-domain dialogue state tracking Z Lin, B Liu, S Moon, P Crook, Z Zhou, Z Wang, Z Yu, A Madotto, E Cho, ... arXiv preprint arXiv:2105.04222, 2021 | 93 | 2021 |
| Sentiment Adaptive End-to-End Dialog Systems W Shi, Z Yu ACL 2018, 2018 | 91 | 2018 |
Patrick L. LangeAmazonVerified email at amazon.com
