| Recognize anything: A strong image tagging model Y Zhang, X Huang, J Ma, Z Li, Z Luo, Y Xie, Y Qin, T Luo, Y Li, S Liu, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 109 | 2024 |
| Tag2text: Guiding vision-language model via image tagging X Huang, Y Zhang, J Ma, W Tian, R Feng, Y Zhang, Y Li, Y Guo, L Zhang ICLR 2024, 2023 | 43 | 2023 |
| Prime-aware adaptive distillation Y Zhang, Z Lan, Y Dai, F Zeng, Y Bai, J Chang, Y Wei Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 37 | 2020 |
| Simple and robust loss design for multi-label learning with missing labels Y Zhang, Y Cheng, X Huang, F Wen, R Feng, Y Li, Y Guo arXiv preprint arXiv:2112.07368, 2021 | 34 | 2021 |
| On the efficacy of small self-supervised contrastive models without distillation signals H Shi, Y Zhang, S Tang, W Zhu, Y Li, Y Guo, Y Zhuang Proceedings of the AAAI conference on artificial intelligence 36 (2), 2225-2234, 2022 | 12 | 2022 |
| Towards communication-efficient and privacy-preserving federated representation learning H Shi, Y Zhang, Z Shen, S Tang, Y Li, Y Guo, Y Zhuang International Workshop on Trustable, Verifiable and Auditable Federated …, 2021 | 12* | 2021 |
| Idea: Increasing text diversity via online multi-label recognition for vision-language pre-training X Huang, Y Zhang, Y Cheng, W Tian, R Zhao, R Feng, Y Zhang, Y Li, ... Proceedings of the 30th ACM International Conference on Multimedia, 4573-4583, 2022 | 11 | 2022 |
| Open-Set Image Tagging with Multi-Grained Text Supervision X Huang, YJ Huang, Y Zhang, W Tian, R Feng, Y Zhang, Y Xie, Y Li, ... arXiv preprint arXiv:2310.15200, 2023 | 8* | 2023 |
| Learning cross-modal aligned representation with graph embedding Y Zhang, J Cao, X Gu IEEE Access 6, 77321-77333, 2018 | 2 | 2018 |
| Two-stream convolutional neural network for multimodal matching Y Zhang, Y Gu, X Gu Artificial Neural Networks and Machine Learning–ICANN 2018: 27th …, 2018 | 2 | 2018 |
| Graph embedding learning for cross-modal information retrieval Y Zhang, X Gu Neural Information Processing: 24th International Conference, ICONIP 2017 …, 2017 | 2 | 2017 |
| Knowledge distillation from single to multi labels: an empirical study Y Zhang, Y Qin, H Liu, Y Zhang, Y Li, X Gu arXiv preprint arXiv:2303.08360, 2023 | 1 | 2023 |
| Adversarial Learning for Cross-Modal Retrieval with Wasserstein Distance Q Cheng, Y Zhang, X Gu Neural Information Processing: 26th International Conference, ICONIP 2019 …, 2019 | | 2019 |
| Cross-modal Metric Learning with Graph Embedding Y Zhang, X Gu 2018 International Joint Conference on Neural Networks (IJCNN), 1-7, 2018 | | 2018 |
Yandong GuoChief Scientist @ OPPO Research Institute在 oppo.com 的电子邮件经过验证
