| Natural language inference by tree-based convolution and heuristic matching L Mou, R Men, G Li, Y Xu, L Zhang, R Yan, Z Jin The 54th Annual Meeting of the Association for Computational Linguistics. 2016., 2016 | 351 | 2016 |
| On end-to-end program generation from user intention by deep neural networks L Mou, R Men, G Li, L Zhang, Z Jin arXiv preprint arXiv:1510.07211, 2015 | 47 | 2015 |
| M6: Multi-Modality-to-Multi-Modality Multitask Mega-transformer for Unified Pretraining J Lin, R Men, A Yang, C Zhou, Y Zhang, P Wang, J Zhou, J Tang, H Yang Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 41* | 2021 |
| Exploring sparse expert models and beyond A Yang, J Lin, R Men, C Zhou, L Jiang, X Jia, A Wang, J Zhang, J Wang, ... arXiv e-prints, arXiv: 2105.15082, 2021 | 14 | 2021 |
| UFC-BERT: Unifying Multi-Modal Controls for Conditional Image Synthesis Z Zhang, J Ma, C Zhou, R Men, Z Li, M Ding, J Tang, J Zhou, H Yang Advances in Neural Information Processing Systems 34, 2021 | 8* | 2021 |
| Deep-autocoder: Learning to complete code precisely with induced code tokens X Hu, R Men, G Li, Z Jin 2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC …, 2019 | 6 | 2019 |
| Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework P Wang, A Yang, R Men, J Lin, S Bai, Z Li, J Ma, C Zhou, J Zhou, H Yang arXiv preprint arXiv:2202.03052, 2022 | 4 | 2022 |
| M6-t: Exploring sparse expert models and beyond A Yang, J Lin, R Men, C Zhou, L Jiang, X Jia, A Wang, J Zhang, J Wang, ... arXiv preprint arXiv:2105.15082, 2021 | 4 | 2021 |
| Learning Relation Alignment for Calibrated Cross-modal Retrieval S Ren, J Lin, G Zhao, R Men, A Yang, J Zhou, X Sun, H Yang arXiv preprint arXiv:2105.13868, 2021 | 2 | 2021 |
Ge LiPeking UniversityVerified email at pku.edu.cn
