| Implicit feedbacks are not always favorable: Iterative relabeled one-class collaborative filtering against noisy interactions Z Wang, Q Xu, Z Yang, X Cao, Q Huang Proceedings of the 29th ACM International Conference on Multimedia, 3070-3078, 2021 | 22 | 2021 |
| Openauc: Towards auc-oriented open-set recognition Z Wang, Q Xu, Z Yang, Y He, X Cao, Q Huang Advances in Neural Information Processing Systems 35, 25033-25045, 2022 | 19 | 2022 |
| Adversarial preference learning with pairwise comparisons Z Wang, Q Xu, K Ma, Y Jiang, X Cao, Q Huang Proceedings of the 27th ACM International Conference on Multimedia, 656-664, 2019 | 17 | 2019 |
| Optimizing partial area under the top-k curve: Theory and practice Z Wang, Q Xu, Z Yang, Y He, X Cao, Q Huang IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (4), 5053-5069, 2022 | 4 | 2022 |
| A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment for Imbalanced Learning Z Wang, Q Xu, Z Yang, Y He, X Cao, Q Huang Advances in Neural Information Processing Systems 36, 2024 | 3 | 2024 |
| Confederated learning: Going beyond centralization Z Wang, Q Xu, K Ma, X Cao, Q Huang Proceedings of the 30th ACM International Conference on Multimedia, 2939-2947, 2022 | 1 | 2022 |
| ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection J He, Q Xu, Y Jiang, Z Wang, Q Huang Proceedings of the AAAI Conference on Artificial Intelligence 38 (8), 8481-8489, 2024 | | 2024 |
| When Measures are Unreliable: Imperceptible Adversarial Perturbations toward Top-k Multi-Label Learning Y Sun, Q Xu, Z Wang, Q Huang Proceedings of the 31st ACM International Conference on Multimedia, 1515-1526, 2023 | | 2023 |
Qingming HuangUniversity of the Chinese Academy of Sciences在 ucas.ac.cn 的电子邮件经过验证
