| 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 (Spotlight) 35, 25033-25045, 2022 | 43 | 2022 |
| 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 | 37 | 2021 |
| 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 (Spotlight) 36, 48417-48430, 2023 | 26 | 2023 |
| 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 (Oral …, 2019 | 19 | 2019 |
| 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 | 18 | 2024 |
| 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 | 11 | 2022 |
| Harnessing hierarchical label distribution variations in test agnostic long-tail recognition Z Yang, Q Xu, Z Wang, S Li, B Han, S Bao, X Cao, Q Huang Proceedings of the 41st International Conference on Machine Learning, 2024 | 4 | 2024 |
| Not All Diffusion Model Activations Have Been Evaluated as Discriminative Features B Meng, Q Xu, Z Wang, X Cao, Q Huang Advances in Neural Information Processing Systems 37, 55141-55177, 2025 | 1 | 2025 |
| HGOE: Hybrid External and Internal Graph Outlier Exposure for Graph Out-of-Distribution Detection H Junwei, Q Xu, Y Jiang, Z Wang, Y Sun, Q Huang Proceedings of the 32nd ACM International Conference on Multimedia, 1544-1553, 2024 | 1 | 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 | 1 | 2023 |
| 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 |
| Top-K Pairwise Ranking: Bridging the Gap Among Ranking-Based Measures for Multi-label Classification Z Wang, Q Xu, Z Yang, P Wen, Y He, X Cao, Q Huang International Journal of Computer Vision 133 (1), 211-253, 2025 | | 2025 |
| EDGE: Unknown-aware Multi-label Learning by Energy Distribution Gap Expansion Y Sun, Q Xu, Z Wang, Z Yang, J He arXiv preprint arXiv:2412.07499, 2024 | | 2024 |
| Suppress Content Shift: Better Diffusion Features via Off-the-Shelf Generation Techniques B Meng, Q Xu, Z Wang, Z Yang, X Cao, Q Huang arXiv preprint arXiv:2410.06719, 2024 | | 2024 |
Qingming HuangUniversity of the Chinese Academy of Sciencesยืนยันอีเมลแล้วที่ ucas.ac.cn