| Towards more practical adversarial attacks on graph neural networks J Ma, S Ding, Q Mei Advances in neural information processing systems 33, 4756-4766, 2020 | 124 | 2020 |
| Internlm-xcomposer: A vision-language large model for advanced text-image comprehension and composition P Zhang, XDB Wang, Y Cao, C Xu, L Ouyang, Z Zhao, S Ding, S Zhang, ... arXiv preprint arXiv:2309.15112, 2023 | 98 | 2023 |
| Motion-aware Self-supervised Video Representation Learning via Foreground-background Merging S Ding, M Li, T Yang, R Qian, H Xu, Q Chen, J Wang, H Xiong Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021 | 48* | 2021 |
| Enhancing self-supervised video representation learning via multi-level feature optimization R Qian, Y Li, H Liu, J See, S Ding, X Liu, D Li, W Lin Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 27 | 2021 |
| Masked autoencoders are robust data augmentors H Xu, S Ding, X Zhang, H Xiong, Q Tian arXiv preprint arXiv:2206.04846, 2022 | 25 | 2022 |
| Static and dynamic concepts for self-supervised video representation learning R Qian, S Ding, X Liu, D Lin European Conference on Computer Vision, 145-164, 2022 | 21 | 2022 |
| Dual contrastive learning for spatio-temporal representation S Ding, R Qian, H Xiong Proceedings of the 30th ACM international conference on multimedia, 5649-5658, 2022 | 15 | 2022 |
| Motion-inductive self-supervised object discovery in videos S Ding, W Xie, Y Chen, R Qian, X Zhang, H Xiong, Q Tian arXiv preprint arXiv:2210.00221, 2022 | 11 | 2022 |
| Semantics meets temporal correspondence: Self-supervised object-centric learning in videos R Qian, S Ding, X Liu, D Lin Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 10 | 2023 |
| Prune spatio-temporal tokens by semantic-aware temporal accumulation S Ding, P Zhao, X Zhang, R Qian, H Xiong, Q Tian Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 6 | 2023 |
| Streaming long video understanding with large language models R Qian, X Dong, P Zhang, Y Zang, S Ding, D Lin, J Wang arXiv preprint arXiv:2405.16009, 2024 | 3 | 2024 |
| Songcomposer: A large language model for lyric and melody composition in song generation S Ding, Z Liu, X Dong, P Zhang, R Qian, C He, D Lin, J Wang arXiv preprint arXiv:2402.17645, 2024 | 3 | 2024 |
| Betrayed by Attention: A Simple yet Effective Approach for Self-supervised Video Object Segmentation S Ding, R Qian, H Xu, D Lin, H Xiong European Conference on Computer Vision (ECCV), 2024, 2023 | 2 | 2023 |
| Image Compression for Machine and Human Vision with Spatial-Frequency Adaptation H Li, S Li, S Ding, W Dai, M Cao, C Li, J Zou, H Xiong arXiv preprint arXiv:2407.09853, 2024 | 1 | 2024 |
| Rethinking Image-to-Video Adaptation: An Object-centric Perspective R Qian, S Ding, D Lin arXiv preprint arXiv:2407.06871, 2024 | | 2024 |
| AMPA: Adaptive Mixed Precision Allocation for Low-Bit Integer Training L Ding, W Fei, Y Huang, S Ding, W Dai, C Li, J Zou, H Xiong Forty-first International Conference on Machine Learning, 2024 | | 2024 |
Rui QianThe Chinese University of Hong KongVerified email at ie.cuhk.edu.hk
