| Unimo: Towards unified-modal understanding and generation via cross-modal contrastive learning W Li, C Gao, G Niu, X Xiao, H Liu, J Liu, H Wu, H Wang arXiv preprint arXiv:2012.15409, 2020 | 344 | 2020 |
| Learning with Noisy Correspondence for Cross-modal Matching XP Zhenyu Huang, Guocheng Niu, Xiao Liu, Wenbiao Ding, Xinyan Xiao, Hua Wu Advances in Neural Information Processing Systems 34, 2021 | 84 | 2021 |
| A New Method of Region Embedding for Text Classification. C Qiao, B Huang, G Niu, D Li, D Dong, W He, D Yu, H Wu ICLR (Poster), 2018 | 76 | 2018 |
| Towards knowledge-aware video captioning via transitive visual relationship detection B Wu, G Niu, J Yu, X Xiao, J Zhang, H Wu IEEE Transactions on Circuits and Systems for Video Technology 32 (10), 6753 …, 2022 | 23 | 2022 |
| Enhancing local feature extraction with global representation for neural text classification G Niu, H Xu, B He, X Xiao, H Wu, S Gao Proceedings of the 2019 conference on empirical methods in natural language …, 2019 | 20 | 2019 |
| Unimo-2: End-to-end unified vision-language grounded learning W Li, C Gao, G Niu, X Xiao, H Liu, J Liu, H Wu, H Wang arXiv preprint arXiv:2203.09067, 2022 | 18 | 2022 |
| Weakly supervised dense video captioning via jointly usage of knowledge distillation and cross-modal matching B Wu, G Niu, J Yu, X Xiao, J Zhang, H Wu arXiv preprint arXiv:2105.08252, 2021 | 7 | 2021 |
| Knowledge-constrained answer generation for open-ended video question answering Y Jin, G Niu, X Xiao, J Zhang, X Peng, J Yu Proceedings of the AAAI Conference on Artificial Intelligence 37 (7), 8141-8149, 2023 | 6 | 2023 |
| Du-vlg: Unifying vision-and-language generation via dual sequence-to-sequence pre-training L Huang, G Niu, J Liu, X Xiao, H Wu arXiv preprint arXiv:2203.09052, 2022 | 5 | 2022 |
| Cross-modality processing method and apparatus, and computer storage medium NIU Guocheng, HE Bolei, X Xiao US Patent 11,341,366, 2022 | 3 | 2022 |
| Method and apparatus for acquiring pre-trained model NIU Guocheng, W Li, GAO Can, X Xiao, H Wu US Patent App. 17/502,108, 2022 | 1 | 2022 |
| Learning with Noisy Correspondence Z Huang, P Hu, G Niu, X Xiao, J Lv, X Peng International Journal of Computer Vision, 1-22, 2024 | | 2024 |
| Method, device and storage medium for training model based on multi-modal data joint learning W Li, GAO Can, NIU Guocheng, X Xiao, H Liu, LIU Jiachen, H Wu, ... US Patent App. 17/809,133, 2022 | | 2022 |
| Document recommendation method and device based on semantic tag NIU Guocheng, HE Bolei, LIU Chengxiang, X Xiao, LYU Yajuan US Patent 11,216,504, 2022 | | 2022 |
| Parse Concurrent Data Structures: BST as an Example K Zhou, G Niu, W Zhang, X Li, W Liu arXiv preprint arXiv:1505.03759, 2015 | | 2015 |
| Supplemental Material for Learning with Noisy Correspondence for Cross-modal Matching Z Huang, G Niu, X Liu, W Ding, X Xiao, H Wu, X Peng | | |
Zhenyu HuangSichuan UniversityVerified email at stu.scu.edu.cn
Zhenyu HuangSichuan UniversityVerified email at stu.scu.edu.cn