| Pre-trained models: Past, present and future X Han, Z Zhang, N Ding, Y Gu, X Liu, Y Huo, J Qiu, Y Yao, A Zhang, ... AI Open 2, 225-250, 2021 | 743 | 2021 |
| Learning depth-guided convolutions for monocular 3d object detection M Ding, Y Huo, H Yi, Z Wang, J Shi, Z Lu, P Luo Proceedings of the IEEE/CVF Conference on computer vision and pattern …, 2020 | 326 | 2020 |
| 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 | 169 | 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 | 128 | 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 | 69 | 2022 |
| Lightweight action recognition in compressed videos Y Huo, X Xu, Y Lu, Y Niu, M Ding, Z Lu, T Xiang, J Wen Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020 | 41* | 2020 |
| Vdt: General-purpose video diffusion transformers via mask modeling H Lu, G Yang, N Fei, Y Huo, Z Lu, P Luo, M Ding arXiv preprint arXiv:2305.13311, 2023 | 38* | 2023 |
| Self-supervised video representation learning with constrained spatiotemporal jigsaw Y Huo, M Ding, H Lu, Z Lu, T Xiang, JR Wen, Z Huang, J Jiang, S Zhang, ... | 24* | 2021 |
| Uniadapter: Unified parameter-efficient transfer learning for cross-modal modeling H Lu, Y Huo, G Yang, Z Lu, W Zhan, M Tomizuka, M Ding arXiv preprint arXiv:2302.06605, 2023 | 21 | 2023 |
| 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 |
| Coarse-to-fine grained classification Y Huo, Y Lu, Y Niu, Z Lu, JR Wen Proceedings of the 42nd International ACM SIGIR Conference on Research and …, 2019 | 19 | 2019 |
| & Zhu, J.(2021) X Han, Z Zhang, N Ding, Y Gu, X Liu, Y Huo, J Qiu, A Zhang, L Zhang, ... Pre-trained models: Past, present and future. AI Open 2, 225-250, 0 | 16 | |
| Learning versatile neural architectures by propagating network codes M Ding, Y Huo, H Lu, L Yang, Z Wang, Z Lu, J Wang, P Luo arXiv preprint arXiv:2103.13253, 2021 | 13 | 2021 |
| 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 | 10 | 2023 |
| 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 | 9 | 2022 |
| 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 |
| Not all bug reopens are negative: A case study on eclipse bug reports Q Mi, J Keung, Y Huo, S Mensah Information and Software Technology 99, 93-97, 2018 | 9 | 2018 |
| Zero-shot learning with superclasses Y Huo, M Ding, A Zhao, J Hu, JR Wen, Z Lu Neural Information Processing: 25th International Conference, ICONIP 2018 …, 2018 | 5 | 2018 |
| Zero-shot learning with few seen class samples Y Huo, J Guan, J Zhang, M Zhang, JR Wen, Z Lu 2019 IEEE International Conference on Multimedia and Expo (ICME), 1336-1341, 2019 | 4 | 2019 |
| Complex Action Segmentation in Compressed Videos H Han, G Yang, Y Huo, Z Lu, JR Wen 2021 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2021 | 3 | 2021 |
