| 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 | 266 | 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 | 197 | 2020 |
| 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 | 81 | 2021 |
| 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 | 38 | 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 | 23* | 2020 |
| 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 | 22 | 2022 |
| 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 | 19 | 2021 |
| 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, ... | 13 | 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 | 13 | 2019 |
| 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 | 8 | 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 | 7 | 2018 |
| 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 | 6 | 2021 |
| LGDN: Language-Guided Denoising Network for Video-Language Modeling H Lu, M Ding, N Fei, Y Huo, Z Lu arXiv preprint arXiv:2209.11388, 2022 | 5 | 2022 |
| 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 |
| 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 | 3 | 2018 |
| DeepInsight: Multi-Task Multi-Scale Deep Learning for Mental Disorder Diagnosis. M Ding, Y Huo, J Hu, Z Lu BMVC, 115, 2018 | 2 | 2018 |
| UniAdapter: Unified Parameter-Efficient Transfer Learning for Cross-modal Modeling H Lu, M Ding, Y Huo, G Yang, Z Lu, M Tomizuka, W Zhan arXiv preprint arXiv:2302.06605, 2023 | 1 | 2023 |
| 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 | 1 | 2021 |
| Insightgan: Semi-supervised feature learning with generative adversarial network for drug abuse detection G Liu, J Hu, A Zhao, M Ding, Y Huo, Z Lu Neural Information Processing: 25th International Conference, ICONIP 2018 …, 2018 | 1 | 2018 |
| 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 | | 2023 |
