| Dm2c: Deep mixed-modal clustering Y Jiang, Q Xu, Z Yang, X Cao, Q Huang Advances in Neural Information Processing Systems, 5880-5890, 2019 | 38 | 2019 |
| When to learn what: Deep cognitive subspace clustering Y Jiang, Z Yang, Q Xu, X Cao, Q Huang Proceedings of the 26th ACM international conference on Multimedia, 718-726, 2018 | 35 | 2018 |
| Quaternion-Based Knowledge Graph Network for Recommendation Z Li, Q Xu, Y Jiang, X Cao, Q Huang Proceedings of the 28th ACM International Conference on Multimedia, 880-888, 2020 | 29 | 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 | 26 | 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 | 25 | 2021 |
| 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 |
| Duet Robust Deep Subspace Clustering Y Jiang, Q Xu, Z Yang, X Cao, Q Huang Proceedings of the 27th ACM International Conference on Multimedia, 1596-1604, 2019 | 11 | 2019 |
| Maxmatch: Semi-supervised learning with worst-case consistency Y Jiang, X Li, Y Chen, Y He, Q Xu, Z Yang, X Cao, Q Huang IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (5), 5970-5987, 2022 | 7 | 2022 |
| Generalized Block-Diagonal Structure Pursuit: Learning Soft Latent Task Assignment against Negative Transfer Z Yang, Q Xu, Y Jiang, X Cao, Q Huang Advances in Neural Information Processing Systems, 5854-5865, 2019 | 6 | 2019 |
| Deep robust subjective visual property prediction in crowdsourcing Q Xu, Z Yang, Y Jiang, X Cao, Q Huang, Y Yao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 6 | 2019 |
| Pay Attention to Your Positive Pairs: Positive Pair Aware Contrastive Knowledge Distillation Z Yu, Q Xu, Y Jiang, H Qin, Q Huang Proceedings of the 30th ACM International Conference on Multimedia, 5862-5870, 2022 | 5 | 2022 |
| What to Select: Pursuing Consistent Motion Segmentation from Multiple Geometric Models Y Jiang, Q Xu, K Ma, Z Yang, X Cao, Q Huang Proceedings of the AAAI Conference on Artificial Intelligence 35 (2), 1708-1716, 2021 | 5 | 2021 |
| Not all samples are trustworthy: Towards deep robust svp prediction Q Xu, Z Yang, Y Jiang, X Cao, Y Yao, Q Huang IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (6), 3154-3169, 2020 | 5 | 2020 |
| Deep Partial Rank Aggregation for Personalized Attributes Q Xu, Z Yang, Z Chen, Y Jiang, X Cao, Y Yao, Q Huang Proceedings of the AAAI Conference on Artificial Intelligence 35 (1), 678-688, 2021 | 3 | 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, 2023 | 2 | 2023 |
| Neural Collaborative Preference Learning With Pairwise Comparisons Z Li, Q Xu, Y Jiang, K Ma, X Cao, Q Huang IEEE Transactions on Multimedia 23, 1977-1989, 2020 | 2 | 2020 |
| PSNEA: Pseudo-Siamese Network for Entity Alignment between Multi-modal Knowledge Graphs W Ni, Q Xu, Y Jiang, Z Cao, X Cao, Q Huang Proceedings of the 31st ACM International Conference on Multimedia, 3489-3497, 2023 | 1 | 2023 |
| 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 |
Qingming HuangUniversity of the Chinese Academy of SciencesVerified email at ucas.ac.cn
