| Leveraging instance-, image-and dataset-level information for weakly supervised instance segmentation Y Liu, YH Wu, P Wen, Y Shi, Y Qiu, MM Cheng IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (3), 1415-1428, 2020 | 188 | 2020 |
| Dist-pu: Positive-unlabeled learning from a label distribution perspective Y Zhao, Q Xu, Y Jiang, P Wen, Q Huang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 84 | 2022 |
| Seeking the shape of sound: An adaptive framework for learning voice-face association P Wen, Q Xu, Y Jiang, Z Yang, Y He, Q Huang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 50 | 2021 |
| Positive-unlabeled learning with label distribution alignment Y Jiang, Q Xu, Y Zhao, Z Yang, P Wen, X Cao, Q Huang IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (12 …, 2023 | 30 | 2023 |
| Feature directions matter: Long-tailed learning via rotated balanced representation G Peifeng, Q Xu, P Wen, Z Yang, H Shao, Q Huang International Conference on Machine Learning, 27542-27563, 2023 | 30 | 2023 |
| Auc-oriented domain adaptation: From theory to algorithm Z Yang, Q Xu, S Bao, P Wen, Y He, X Cao, Q Huang IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (12 …, 2023 | 26 | 2023 |
| DMVOS: Discriminative matching for real-time video object segmentation P Wen, R Yang, Q Xu, C Qian, Q Huang, R Cong, J Si Proceedings of the 28th ACM International Conference on Multimedia, 2048-2056, 2020 | 24 | 2020 |
| Building bridge across the time: Disruption and restoration of murals in the wild H Shao, Q Xu, P Wen, P Gao, Z Yang, Q Huang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 20 | 2023 |
| Aucseg: Auc-oriented pixel-level long-tail semantic segmentation B Han, Q Xu, Z Yang, S Bao, P Wen, Y Jiang, Q Huang Advances in Neural Information Processing Systems 37, 126863-126907, 2024 | 19 | 2024 |
| Weighted roc curve in cost space: Extending auc to cost-sensitive learning H Shao, Q Xu, Z Yang, P Wen, G Peifeng, Q Huang Advances in Neural Information Processing Systems 36, 17357-17368, 2023 | 17 | 2023 |
| Algorithm-dependent generalization of auprc optimization: Theory and algorithm P Wen, Q Xu, Z Yang, Y He, Q Huang IEEE Transactions on Pattern Analysis and Machine Intelligence 46 (7), 5062-5079, 2024 | 16 | 2024 |
| Exploring the Algorithm-Dependent Generalization of AUPRC Optimization with List Stability P Wen, Q Xu, Z Yang, Y He, Q Huang Advances in Neural Information Processing Systems 35, 28335--28349, 2022 | 15 | 2022 |
| A study of neural collapse phenomenon: Grassmannian frame, symmetry and generalization P Gao, Q Xu, P Wen, H Shao, Z Yang, Q Huang arXiv preprint arXiv:2304.08914, 2023 | 14 | 2023 |
| A Sparse-Motif Ensemble Graph Convolutional Network against Over-smoothing. X Jiang, Z Yang, P Wen, L Su, Q Huang IJCAI, 2094-2100, 2022 | 12 | 2022 |
| Not all pairs are equal: Hierarchical learning for average-precision-oriented video retrieval Y Liu, Q Xu, P Wen, S Dai, Q Huang Proceedings of the 32nd ACM International Conference on Multimedia, 3828-3837, 2024 | 11 | 2024 |
| When the future becomes the past: Taming temporal correspondence for self-supervised video representation learning Y Liu, Q Xu, P Wen, S Dai, Q Huang Proceedings of the Computer Vision and Pattern Recognition Conference, 24033 …, 2025 | 10 | 2025 |
| When false positive is intolerant: End-to-end optimization with low FPR for multipartite ranking P Wen, Q Xu, Z Yang, Y He, Q Huang Advances in Neural Information Processing Systems 34, 5025-5037, 2021 | 6 | 2021 |
| 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 | 4 | 2025 |
| Towards demystifying the generalization behaviors when neural collapse emerges P Gao, Q Xu, Y Yang, P Wen, H Shao, Z Yang, B Ghanem, Q Huang arXiv preprint arXiv:2310.08358, 2023 | 4 | 2023 |
| Semantic concentration for self-supervised dense representations learning P Wen, Q Xu, S Dai, R Cong, Q Huang IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025 | 2 | 2025 |
Qingming HuangUniversity of the Chinese Academy of SciencesVerified email at ucas.ac.cn
