| 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, ... Proc. of ACL, 2019 | 1604 | 2019 |
| Optimus: Organizing sentences via pre-trained modeling of a latent space C Li, X Gao, Y Li, X Li, B Peng, Y Zhang, J Gao Proc. of EMNLP, 2020 | 186 | 2020 |
| The effect of ozone addition on combustion: Kinetics and dynamics W Sun, X Gao, B Wu, T Ombrello Progress in Energy and Combustion Science 73, 1-25, 2019 | 126 | 2019 |
| Conversing by Reading: Contentful Neural Conversation with On-demand Machine Reading L Qin, M Galley, C Brockett, X Liu, X Gao, B Dolan, Y Choi, J Gao Proc. of ACL, 2019 | 121 | 2019 |
| The effect of ozone addition on laminar flame speed X Gao, Y Zhang, S Adusumilli, J Seitzman, W Sun, T Ombrello, C Carter Combustion and Flame 162 (10), 3914-3924, 2015 | 113* | 2015 |
| Dialogue Response Ranking Training with Large-Scale Human Feedback Data X Gao, Y Zhang, M Galley, C Brockett, B Dolan Proc. of EMNLP, 2020 | 100 | 2020 |
| A global pathway selection algorithm for the reduction of detailed chemical kinetic mechanisms X Gao, S Yang, W Sun Combustion and Flame 167, 238–247, 2016 | 97 | 2016 |
| Jointly Optimizing Diversity and Relevance in Neural Response Generation X Gao, S Lee, Y Zhang, C Brockett, M Galley, J Gao, B Dolan Proc. of NAACL, 2019 | 96 | 2019 |
| A controllable model of grounded response generation Z Wu, M Galley, C Brockett, Y Zhang, X Gao, C Quirk, R Koncel-Kedziorski, ... Proc. of AAAI, 2020 | 87 | 2020 |
| Overview of the seventh dialog system technology challenge: DSTC7 LF D’Haro, K Yoshino, C Hori, TK Marks, L Polymenakos, JK Kummerfeld, ... Computer Speech & Language 62, 101068, 2020 | 78* | 2020 |
| Grounded Response Generation Task at DSTC7 M Galley, C Brockett, X Gao, J Gao, B Dolan | 73* | 2019 |
| Structuring Latent Spaces for Stylized Response Generation X Gao, Y Zhang, S Lee, M Galley, C Brockett, J Gao, B Dolan EMNLP-IJCNLP 2019, arXiv preprint arXiv:1909.05361, 2019 | 56 | 2019 |
| Retgen: A joint framework for retrieval and grounded text generation modeling Y Zhang, S Sun, X Gao, Y Fang, C Brockett, M Galley, J Gao, B Dolan Proceedings of the AAAI Conference on Artificial Intelligence 36 (10), 11739 …, 2022 | 51* | 2022 |
| Nanosecond Pulsed Plasma Activated C2H4/O2/Ar Mixtures in a Flow Reactor S Yang, X Gao, V Yang, W Sun, S Nagaraja, JK Lefkowitz, Y Ju Journal of Propulsion and Power, 2016 | 49 | 2016 |
| Ozonolysis activated autoignition in non-premixed coflow X Gao, B Wu, W Sun, T Ombrello, C Carter Journal of Physics D: Applied Physics 52 (10), 105201, 2019 | 39* | 2019 |
| Consistent dialogue generation with self-supervised feature learning Y Zhang, X Gao, S Lee, C Brockett, M Galley, J Gao, B Dolan arXiv preprint arXiv:1903.05759, 2019 | 36 | 2019 |
| Evaluation of kinetic mechanisms for direct fired supercritical oxy-combustion of natural gas S Coogan, X Gao, A McClung, W Sun Turbo Expo: Power for Land, Sea, and Air 49750, V04AT04A037, 2016 | 33 | 2016 |
| Deep reinforcement learning for time series: playing idealized trading games X Gao arXiv preprint arXiv:1803.03916, 2018 | 28 | 2018 |
| Global Pathway Analysis: a hierarchical framework to understand complex chemical kinetics X Gao, X Gou, W Sun Combustion Theory and Modelling, 1-23, 2018 | 25* | 2018 |
| Joint retrieval and generation training for grounded text generation Y Zhang, S Sun, X Gao, Y Fang, C Brockett, M Galley, J Gao, B Dolan arXiv preprint arXiv:2105.06597, 2021 | 22 | 2021 |
Yizhe ZhangResearch Scientist @ Apple MLRVerified email at apple.com
