| Graph Neural Networks in Computer Vision S Tang, W Zhang, Z Mu, K Shen, J Li, J Li, L Wu Graph neural networks: foundation, frontiers and applications, 447-462, 2022 | 496* | 2022 |
| Rethinking the bottom-up framework for query-based video localization L Chen, C Lu, S Tang, J Xiao, D Zhang, C Tan, X Li Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 10551 …, 2020 | 172 | 2020 |
| Sparse multi-modal hashing F Wu, Z Yu, Y Yang, S Tang, Y Zhang, Y Zhuang IEEE transactions on multimedia 16 (2), 427-439, 2013 | 149 | 2013 |
| Naturalspeech 3: Zero-shot speech synthesis with factorized codec and diffusion models Z Ju, Y Wang, K Shen, X Tan, D Xin, D Yang, Y Liu, Y Leng, K Song, ... arXiv preprint arXiv:2403.03100, 2024 | 145 | 2024 |
| Ntire 2019 challenge on real image super-resolution: Methods and results J Cai, S Gu, R Timofte, L Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 124 | 2019 |
| Ntire 2020 challenge on real image denoising: Dataset, methods and results A Abdelhamed, M Afifi, R Timofte, MS Brown Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 95 | 2020 |
| Learning Dynamic Context Augmentation for Global Entity Linking X Yang, X Gu, S Lin, S Tang, Y Zhuang, F Wu, Z Chen, G Hu, X Ren 2019 Conference on Empirical Methods in Natural Language Processing, 271-281, 2019 | 94 | 2019 |
| Cascaded deep networks with multiple receptive fields for infrared image super-resolution Z He, S Tang, J Yang, Y Cao, MY Yang, Y Cao IEEE transactions on circuits and systems for video technology 29 (8), 2310-2322, 2018 | 91 | 2018 |
| MRFN: Multi-receptive-field network for fast and accurate single image super-resolution Z He, Y Cao, L Du, B Xu, J Yang, Y Cao, S Tang, Y Zhuang IEEE Transactions on Multimedia 22 (4), 1042-1054, 2019 | 89 | 2019 |
| Fine-grained semantically aligned vision-language pre-training J Li, X He, L Wei, L Qian, L Zhu, L Xie, Y Zhuang, Q Tian, S Tang Advances in neural information processing systems 35, 7290-7303, 2022 | 79 | 2022 |
| Unsupervised reinforcement learning of transferable meta-skills for embodied navigation J Li, X Wang, S Tang, H Shi, F Wu, Y Zhuang, WY Wang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 78 | 2020 |
| Compositional temporal grounding with structured variational cross-graph correspondence learning J Li, J Xie, L Qian, L Zhu, S Tang, F Wu, Y Yang, Y Zhuang, XE Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 76 | 2022 |
| Fine-tuning multimodal llms to follow zero-shot demonstrative instructions J Li, K Pan, Z Ge, M Gao, W Ji, W Zhang, TS Chua, S Tang, H Zhang, ... arXiv preprint arXiv:2308.04152, 2023 | 75 | 2023 |
| Frame augmented alternating attention network for video question answering W Zhang, S Tang, Y Cao, S Pu, F Wu, Y Zhuang IEEE Transactions on Multimedia 22 (4), 1032-1041, 2019 | 75 | 2019 |
| Cross-relation cross-bag attention for distantly-supervised relation extraction Y Yuan, L Liu, S Tang, Z Zhang, Y Zhuang, S Pu, F Wu, X Ren Proceedings of the AAAI conference on artificial intelligence 33 (01), 419-426, 2019 | 74 | 2019 |
| Deep compositional cross-modal learning to rank via local-global alignment X Jiang, F Wu, X Li, Z Zhao, W Lu, S Tang, Y Zhuang Proceedings of the 23rd ACM international conference on Multimedia, 69-78, 2015 | 67 | 2015 |
| CIL: Contrastive instance learning framework for distantly supervised relation extraction T Chen, H Shi, S Tang, Z Chen, F Wu, Y Zhuang arXiv preprint arXiv:2106.10855, 2021 | 66 | 2021 |
| Deep sequential feature learning in clinical image classification of infectious keratitis Y Xu, M Kong, W Xie, R Duan, Z Fang, Y Lin, Q Zhu, S Tang, F Wu, ... Engineering 7 (7), 1002-1010, 2021 | 61 | 2021 |
| Media and public reactions toward vaccination during the ‘hepatitis B vaccine crisis’ in China B Chen, JM Zhang, Z Jiang, J Shao, T Jiang, Z Wang, K Liu, S Tang, H Gu, ... Vaccine 33 (15), 1780-1785, 2015 | 59 | 2015 |
| Hallucidoctor: Mitigating hallucinatory toxicity in visual instruction data Q Yu, J Li, L Wei, L Pang, W Ye, B Qin, S Tang, Q Tian, Y Zhuang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 57 | 2024 |
Yueting ZhuangProfessor of Computer Science, Zhejiang UniversityPatvirtintas el. paštas zju.edu.cn
