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Yu Wang
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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
792021
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
512019
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, 2021
442021
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, 2022
392022
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
332019
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
322022
Deep super-class learning for long-tail distributed image classification
Y Zhou, Q Hu, Y Wang
Pattern Recognition 80, 118-128, 2018
322018
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
282017
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
242021
Uncertainty instructed multi-granularity decision for large-scale hierarchical classification
Y Wang, Q Hu, H Chen, Y Qian
Information Sciences 586, 644-661, 2022
192022
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, 2022
182022
Multi-granularity episodic contrastive learning for few-shot learning
P Zhu, Z Zhu, Y Wang, J Zhang, S Zhao
Pattern Recognition 131, 108820, 2022
172022
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
172018
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, 2022
162022
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
102022
Multi-granularity regularized re-balancing for class incremental learning
H Chen, Y Wang, Q Hu
IEEE Transactions on Knowledge and Data Engineering, 2022
72022
Monotonicity induced parameter learning for bayesian networks with limited data
J Yang, Y Wang, S Pei, Q Hu
2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018
72018
Learning dynamic compact memory embedding for deformable visual object tracking
H Yu, P Zhu, K Zhang, Y Wang, S Zhao, L Wang, T Zhang, Q Hu
IEEE Transactions on Neural Networks and Learning Systems, 2022
42022
大规模分类任务的分层学习方法综述
胡清华, 王煜, 周玉灿, 赵红, 钱宇华, 梁吉业
European Physical Journal B 48, 567, 2005
32005
考虑多粒度类相关性的对比式开放集识别方法
朱鹏飞, 张琬迎, 王煜, 胡清华
软件学报 33 (4), 1156-1169, 2022
22022
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