| PQA-Net: Deep no reference point cloud quality assessment via multi-view projection Q Liu, H Yuan, H Su, H Liu, Y Wang, H Yang, J Hou IEEE transactions on circuits and systems for video technology 31 (12), 4645 …, 2021 | 104 | 2021 |
| Multi-view deep subspace clustering networks P Zhu, X Yao, Y Wang, B Hui, D Du, Q Hu IEEE Transactions on Cybernetics, 2024 | 96* | 2024 |
| A recursive regularization based feature selection framework for hierarchical classification H Zhao, Q Hu, P Zhu, Y Wang, P Wang IEEE Transactions on Knowledge and Data Engineering 33 (7), 2833-2846, 2019 | 58 | 2019 |
| Class-specific semantic reconstruction for open set recognition H Huang, Y Wang, Q Hu, MM Cheng IEEE transactions on pattern analysis and machine intelligence 45 (4), 4214-4228, 2023 | 56 | 2023 |
| Coarse-to-fine: Progressive knowledge transfer-based multitask convolutional neural network for intelligent large-scale fault diagnosis Y Wang, R Liu, D Lin, D Chen, P Li, Q Hu, CLP Chen IEEE Transactions on Neural Networks and Learning Systems 34 (2), 761-774, 2023 | 54 | 2023 |
| Learning self-supervised low-rank network for single-stage weakly and semi-supervised semantic segmentation J Pan, P Zhu, K Zhang, B Cao, Y Wang, D Zhang, J Han, Q Hu International Journal of Computer Vision 130 (5), 1181-1195, 2022 | 49 | 2022 |
| Deep super-class learning for long-tail distributed image classification Y Zhou, Q Hu, Y Wang Pattern Recognition 80, 118-128, 2018 | 37 | 2018 |
| Deep fuzzy tree for large-scale hierarchical visual classification Y Wang, Q Hu, P Zhu, L Li, B Lu, JM Garibaldi, X Li IEEE Transactions on Fuzzy Systems 28 (7), 1395-1406, 2019 | 34 | 2019 |
| Robust multi-drone multi-target tracking to resolve target occlusion: A benchmark Z Liu, Y Shang, T Li, G Chen, Y Wang, Q Hu, P Zhu IEEE Transactions on Multimedia 25, 1462-1476, 2023 | 32 | 2023 |
| Local bayes risk minimization based stopping strategy for hierarchical classification Y Wang, Q Hu, Y Zhou, H Zhao, Y Qian, J Liang 2017 IEEE International Conference on Data Mining (ICDM), 515-524, 2017 | 30 | 2017 |
| Latent heterogeneous graph network for incomplete multi-view learning P Zhu, X Yao, Y Wang, M Cao, B Hui, S Zhao, Q Hu IEEE Transactions on Multimedia 25, 3033-3045, 2022 | 26 | 2022 |
| Uncertainty instructed multi-granularity decision for large-scale hierarchical classification Y Wang, Q Hu, H Chen, Y Qian Information Sciences 586, 644-661, 2022 | 24 | 2022 |
| Hierarchical semantic risk minimization for large-scale classification Y Wang, Z Wang, Q Hu, Y Zhou, H Su IEEE Transactions on Cybernetics 52 (9), 9546-9558, 2021 | 24 | 2021 |
| Collaborative decision-reinforced self-supervision for attributed graph clustering P Zhu, J Li, Y Wang, B Xiao, S Zhao, Q Hu IEEE Transactions on Neural Networks and Learning Systems 34 (12), 10851-10863, 2022 | 23 | 2022 |
| Multi-granularity episodic contrastive learning for few-shot learning P Zhu, Z Zhu, Y Wang, J Zhang, S Zhao Pattern Recognition 131, 108820, 2022 | 20 | 2022 |
| Review on hierarchical learning methods for large-scale classification task Q Hu, Y Wang, Y Zhou, H Zhao, Y Qian, J Liang Scientia Sinica 48 (5), 7-20, 2018 | 16 | 2018 |
| Deep collaborative multi-task network: A human decision process inspired model for hierarchical image classification Y Zhou, X Li, Y Zhou, Y Wang, Q Hu, W Wang Pattern Recognition 124, 108449, 2022 | 15 | 2022 |
| Expert training: Task hardness aware meta-learning for few-shot classification Y Zhou, Y Wang, J Cai, Y Zhou, Q Hu, W Wang arXiv preprint arXiv:2007.06240, 2020 | 12 | 2020 |
| Multi-granularity regularized re-balancing for class incremental learning H Chen, Y Wang, Q Hu IEEE Transactions on Knowledge and Data Engineering 35 (7), 7263-7277, 2022 | 11 | 2022 |
| Openmix+: Revisiting data augmentation for open set recognition G Jiang, P Zhu, Y Wang, Q Hu IEEE Transactions on Circuits and Systems for Video Technology 33 (11), 6777 …, 2023 | 10 | 2023 |
