Yu Wang
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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
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
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
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
Deep super-class learning for long-tail distributed image classification
Y Zhou, Q Hu, Y Wang
Pattern Recognition 80, 118-128, 2018
Hierarchical semantic risk minimization for large-scale classification
Y Wang, Z Wang, Q Hu, Y Zhou, H Su
IEEE Transactions on Cybernetics, 2021
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, 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, 2022
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
Uncertainty instructed multi-granularity decision for large-scale hierarchical classification
Y Wang, Q Hu, H Chen, Y Qian
Information Sciences 586, 644-661, 2022
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
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
胡清华, 王煜, 周玉灿, 赵红, 钱宇华, 梁吉业
European Physical Journal B 48, 567, 2005
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
Class-Specific Semantic Reconstruction for Open Set Recognition
H Huang, Y Wang, Q Hu, MM Cheng
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
Get to the Point: Content Classification of Animated Graphics Interchange Formats with Key-Frame Attention
Y Ma, Y Wang, P Zhu, J Pan, H Shi
2021 IEEE International Conference on Image Processing (ICIP), 409-413, 2021
Monotonicity Extraction for Monotonic Bayesian Networks Parameter Learning
J Yang, Y Wang, Q Hu
International Conference on Neural Information Processing, 571-581, 2018
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
Multi-Granularity Regularized Re-Balancing for Class Incremental Learning
H Chen, Y Wang, Q Hu
IEEE Transactions on Knowledge and Data Engineering, 2022
Multi-Granularity Episodic Contrastive Learning for Few-Shot Learning
P Zhu, Z Zhu, Y Wang, J Zhang, S Zhao
Pattern Recognition, 108820, 2022
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