| Towards artificial general intelligence via a multimodal foundation model N Fei, Z Lu, Y Gao, G Yang, Y Huo, J Wen, H Lu, R Song, X Gao, T Xiang, ... Nature Communications 13 (1), 3094, 2022 | 127 | 2022 |
| MELR: Meta-learning via modeling episode-level relationships for few-shot learning N Fei, Z Lu, T Xiang, S Huang International Conference on Learning Representations, 2020 | 100 | 2020 |
| Z-score normalization, hubness, and few-shot learning N Fei, Y Gao, Z Lu, T Xiang Proceedings of the IEEE/CVF International Conference on Computer Vision, 142-151, 2021 | 72 | 2021 |
| L2m-gan: Learning to manipulate latent space semantics for facial attribute editing G Yang, N Fei, M Ding, G Liu, Z Lu, T Xiang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 56 | 2021 |
| Cots: Collaborative two-stream vision-language pre-training model for cross-modal retrieval H Lu, N Fei, Y Huo, Y Gao, Z Lu, JR Wen Proceedings of the IEEE/CVF conference on computer Vision and pattern …, 2022 | 51 | 2022 |
| Contrastive prototype learning with augmented embeddings for few-shot learning Y Gao, N Fei, G Liu, Z Lu, T Xiang Uncertainty in Artificial Intelligence, 140-150, 2021 | 38 | 2021 |
| Wenlan 2.0: Make ai imagine via a multimodal foundation model N Fei, Z Lu, Y Gao, G Yang, Y Huo, J Wen, H Lu, R Song, X Gao, T Xiang, ... arXiv, 2021 | 20 | 2021 |
| A roadmap for big model S Yuan, H Zhao, S Zhao, J Leng, Y Liang, X Wang, J Yu, X Lv, Z Shao, ... arXiv preprint arXiv:2203.14101, 2022 | 17 | 2022 |
| Vdt: An empirical study on video diffusion with transformers H Lu, G Yang, N Fei, Y Huo, Z Lu, P Luo, M Ding arXiv preprint arXiv:2305.13311, 2023 | 11 | 2023 |
| Meta-learning across meta-tasks for few-shot learning N Fei, Z Lu, Y Gao, J Tian, T Xiang, JR Wen arXiv preprint arXiv:2002.04274, 2020 | 11 | 2020 |
| Compressed video contrastive learning Y Huo, M Ding, H Lu, N Fei, Z Lu, JR Wen, P Luo Advances in Neural Information Processing Systems 34, 14176-14187, 2021 | 9 | 2021 |
| Lgdn: Language-guided denoising network for video-language modeling H Lu, M Ding, N Fei, Y Huo, Z Lu Advances in Neural Information Processing Systems 35, 25198-25211, 2022 | 8 | 2022 |
| Vdt: General-purpose video diffusion transformers via mask modeling H Lu, G Yang, N Fei, Y Huo, Z Lu, P Luo, M Ding The Twelfth International Conference on Learning Representations, 2023 | 5 | 2023 |
| Cross-modal contrastive learning for generalizable and efficient image-text retrieval H Lu, Y Huo, M Ding, N Fei, Z Lu Machine Intelligence Research 20 (4), 569-582, 2023 | 5 | 2023 |
| Bmu-moco: Bidirectional momentum update for continual video-language modeling Y Gao, N Fei, H Lu, Z Lu, H Jiang, Y Li, Z Cao Advances in Neural Information Processing Systems 35, 22699-22712, 2022 | 5 | 2022 |
| Changde Du, Xin Zhao, Hao Sun, Huiguang He, et al. Multimodal foundation models are better simulators of the human brain H Lu, Q Zhou, N Fei, Z Lu, M Ding, J Wen arXiv preprint arXiv:2208.08263, 2022 | 5 | 2022 |
| Improvable gap balancing for multi-task learning Y Dai, N Fei, Z Lu Uncertainty in Artificial Intelligence, 496-506, 2023 | 4 | 2023 |
| Visual prompt tuning for few-shot text classification J Wen, Y Luo, N Fei, G Yang, Z Lu, H Jiang, J Jiang, Z Cao Proceedings of the 29th International Conference on Computational …, 2022 | 4 | 2022 |
| Multimodal foundation models are better simulators of the human brain H Lu, Q Zhou, N Fei, Z Lu, M Ding, J Wen, C Du, X Zhao, H Sun, H He, ... arXiv preprint arXiv:2208.08263, 2022 | 4 | 2022 |
| Few-shot zero-shot learning: Knowledge transfer with less supervision N Fei, J Guan, Z Lu, Y Gao Proceedings of the Asian Conference on Computer Vision, 2020 | 4 | 2020 |
Zhiwu LuProfessor, Renmin University of ChinaPatvirtintas el. paštas ruc.edu.cn
