| 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 | 147 | 2022 |
| WenLan: Bridging vision and language by large-scale multi-modal pre-training Y Huo, M Zhang, G Liu, H Lu, Y Gao, G Yang, J Wen, H Zhang, B Xu, ... arXiv preprint arXiv:2103.06561, 2021 | 121 | 2021 |
| 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 | 86 | 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 | 68 | 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 |
| Zongzheng Xi Y Huo, M Zhang, G Liu, H Lu, Y Gao, G Yang, J Wen, H Zhang, B Xu, ... Yueqian Yang, Anwen Hu, Jinming Zhao, Ruichen Li, Yida Zhao, Liang Zhang …, 2021 | 11 | 2021 |
| 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 |
| 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 |
| 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 |
| Cmmt: cross-modal meta-transformer for video-text retrieval Y Gao, Z Lu Proceedings of the 2023 ACM international conference on multimedia retrieval …, 2023 | 2 | 2023 |
| Unsupervised Continual Learning of Image Representation Via Rememory-Based Simsiam F Fu, Y Gao, Z Lu, H Wu, S Zhao ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 1 | 2024 |
| SST-VLM: Sparse Sampling-Twice Inspired Video-Language Model Y Gao, Z Lu Proceedings of the Asian Conference on Computer Vision, 1194-1210, 2022 | 1 | 2022 |
| Enhancing Class-Incremental Learning for Image Classification via Bidirectional Transport and Selective Momentum F Fu, Y Gao, Z Lu Proceedings of the 2024 International Conference on Multimedia Retrieval …, 2024 | | 2024 |
| Mixup-Inspired Video Class-Incremental Learning J Long, Y Gao, Z Lu 2023 IEEE International Conference on Data Mining (ICDM), 1181-1186, 2023 | | 2023 |
| Learning with Adaptive Knowledge for Continual Image-Text Modeling Y Luo, Y Gao, Z Lu Proceedings of the 2023 ACM International Conference on Multimedia Retrieval …, 2023 | | 2023 |
| R-STAR: Robust Self-Taught Task-Wise Reweighting for Rehearsal-Based Class Incremental Learning. Y Luo, Y Gao, H Wu, R Ma, Z Lu ECAI, 1648-1655, 2023 | | 2023 |
| neilfei/brivl-nmi N Fei, Z Lu, Y Gao, G Yang, Y Huo, J Wen, H Lu, R Song, X Gao, T Xiang, ... Github, 2021 | | 2021 |
| Diving into Class-Incremental Learning from Better Balancing Old and New knowledge F Fu, Y Gao, S Zhao, H Wu, Z Lu | | |
| BMU-MoCo: Bidirectional Momentum Update for Continual Video-Language Modeling–Supplementary Material– Y Gao, N Fei, H Lu, Z Lu, HJYLZ Cao | | |
