| Visual instruction tuning H Liu, C Li, Q Wu, YJ Lee Advances in neural information processing systems 36, 2024 | 1788 | 2024 |
| Gligen: Open-set grounded text-to-image generation Y Li, H Liu, Q Wu, F Mu, J Yang, J Gao, C Li, YJ Lee Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 349* | 2023 |
| Deep learning based RF fingerprinting for device identification and wireless security Q Wu, C Feres, D Kuzmenko, D Zhi, Z Yu, X Liu, X ‘Leo’Liu Electronics Letters 54 (24), 1405-1407, 2018 | 104 | 2018 |
| Alternating recurrent dialog model with large-scale pre-trained language models Q Wu, Y Zhang, Y Li, Z Yu arXiv preprint arXiv:1910.03756, 2019 | 65* | 2019 |
| Memformer: A memory-augmented transformer for sequence modeling Q Wu, Z Lan, K Qian, J Gu, A Geramifard, Z Yu arXiv preprint arXiv:2010.06891, 2020 | 57* | 2020 |
| On the generation of medical dialogues for COVID-19 W Yang, G Zeng, B Tan, Z Ju, S Chakravorty, X He, S Chen, X Yang, ... arXiv preprint arXiv:2005.05442, 2020 | 47* | 2020 |
| Textgail: Generative adversarial imitation learning for text generation Q Wu, L Li, Z Yu Proceedings of the AAAI Conference on Artificial Intelligence 35 (16), 14067 …, 2021 | 46 | 2021 |
| ARNOLD: A benchmark for language-grounded task learning with continuous states in realistic 3D scenes R Gong, J Huang, Y Zhao, H Geng, X Gao, Q Wu, W Ai, Z Zhou, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 18* | 2023 |
| PRAL: A tailored pre-training model for task-oriented dialog generation J Gu, Q Wu, C Wu, W Shi, Z Yu Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 16* | 2021 |
| Importance-aware learning for neural headline editing Q Wu, L Li, H Zhou, Y Zeng, Z Yu Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 9282-9289, 2020 | 13 | 2020 |
| DG2: Data augmentation through document grounded dialogue generation Q Wu, S Feng, D Chen, S Joshi, LA Lastras, Z Yu arXiv preprint arXiv:2112.08342, 2021 | 9 | 2021 |
| Perception score: A learned metric for open-ended text generation evaluation J Gu, Q Wu, Z Yu Proceedings of the AAAI Conference on Artificial Intelligence 35 (14), 12902 …, 2021 | 8 | 2021 |
| DiactTOD: Learning generalizable latent dialogue acts for controllable task-oriented dialogue systems Q Wu, J Gung, R Shu, Y Zhang arXiv preprint arXiv:2308.00878, 2023 | 7 | 2023 |
| Facechat: An emotion-aware face-to-face dialogue framework D Alnuhait, Q Wu, Z Yu arXiv preprint arXiv:2303.07316, 2023 | 6 | 2023 |
| Krls: Improving end-to-end response generation in task oriented dialog with reinforced keywords learning X Yu, Q Wu, K Qian, Z Yu arXiv preprint arXiv:2211.16773, 2022 | 6 | 2022 |
| Quantifying intrinsic uncertainty in classification via deep Dirichlet mixture networks Q Wu, H Li, L Li, Z Yu arXiv preprint arXiv:1906.04450, 2019 | 6 | 2019 |
| Using textual interface to align external knowledge for end-to-end task-oriented dialogue systems Q Wu, D Alnuhait, D Chen, Z Yu arXiv preprint arXiv:2305.13710, 2023 | 4 | 2023 |
| Knn-icl: Compositional task-oriented parsing generalization with nearest neighbor in-context learning W Zhao, Y Liu, Y Wan, Y Wang, Q Wu, Z Deng, J Du, S Liu, Y Xu, PS Yu arXiv preprint arXiv:2312.10771, 2023 | 2 | 2023 |
| On the Generation of Medical Dialogues for COVID-19 (preprint) W Yang, G Zeng, B Tan, Z Ju, S Chakravorty, X He, S Chen, X Yang, ... | 2 | 2020 |
| Develop Medical Dialogue Systems for COVID-19 G Zeng, Q Wu, Y Zhang, Z Yu, E Xing, P Xie | 1 | 2020 |
Zhou YuColumbia University在 columbia.edu 的电子邮件经过验证
