Qingyao Wu
Qingyao Wu
School of Software Engineering, South China University of Technology
Geverifieerd e-mailadres voor scut.edu.cn - Homepage
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Discrimination-aware channel pruning for deep neural networks
Z Zhuang, M Tan, B Zhuang, J Liu, Y Guo, Q Wu, J Huang, J Zhu
Advances in Neural Information Processing Systems, 875-886, 2018
2192018
Stratified sampling for feature subspace selection in random forests for high dimensional data
Y Ye, Q Wu, JZ Huang, MK Ng, X Li
Pattern Recognition 46 (3), 769-787, 2013
1332013
ForesTexter: an efficient random forest algorithm for imbalanced text categorization
Q Wu, Y Ye, H Zhang, MK Ng, SS Ho
Knowledge-Based Systems 67, 105-116, 2014
892014
A unified framework for metric transfer learning
Y Xu, SJ Pan, H Xiong, Q Wu, R Luo, H Min, H Song
IEEE Transactions on Knowledge and Data Engineering 29 (6), 1158-1171, 2017
812017
Visual grounding via accumulated attention
C Deng, Q Wu, Q Wu, F Hu, F Lyu, M Tan
Proceedings of the IEEE conference on computer vision and pattern …, 2018
732018
Genome-wide association data classification and SNPs selection using two-stage quality-based Random Forests
TT Nguyen, JZ Huang, Q Wu, TT Nguyen, MJ Li
BMC genomics 16 (S2), S5, 2015
602015
ML-FOREST: A multi-label tree ensemble method for multi-label classification
Q Wu, M Tan, H Song, J Chen, MK Ng
IEEE Transactions on Knowledge and Data Engineering 28 (10), 2665-2680, 2016
572016
SNP selection and classification of genome-wide SNP data using stratified sampling random forests
Q Wu, Y Ye, Y Liu, MK Ng
IEEE transactions on nanobioscience 11 (3), 216-227, 2012
502012
MR-NTD: Manifold regularization nonnegative tucker decomposition for tensor data dimension reduction and representation
X Li, MK Ng, G Cong, Y Ye, Q Wu
IEEE transactions on neural networks and learning systems 28 (8), 1787-1800, 2016
472016
Online transfer learning with multiple homogeneous or heterogeneous sources
Q Wu, H Wu, X Zhou, M Tan, Y Xu, Y Yan, T Hao
IEEE Transactions on Knowledge and Data Engineering 29 (7), 1494-1507, 2017
382017
Pyramid graph networks with connection attentions for region-based one-shot semantic segmentation
C Zhang, G Lin, F Liu, J Guo, Q Wu, R Yao
Proceedings of the IEEE International Conference on Computer Vision, 9587-9595, 2019
332019
Markov-Miml: A Markov chain-based multi-instance multi-label learning algorithm
Q Wu, MK Ng, Y Ye
Knowledge and information systems 37 (1), 83-104, 2013
332013
Learning Discriminative Correlation Subspace for Heterogeneous Domain Adaptation.
Y Yan, W Li, MKP Ng, M Tan, H Wu, H Min, Q Wu
IJCAI, 3252-3258, 2017
312017
ML-TREE: A tree-structure-based approach to multilabel learning
Q Wu, Y Ye, H Zhang, TWS Chow, SS Ho
IEEE transactions on neural networks and learning systems 26 (3), 430-443, 2014
302014
Auto-embedding generative adversarial networks for high resolution image synthesis
Y Guo, Q Chen, J Chen, Q Wu, Q Shi, M Tan
IEEE Transactions on Multimedia 21 (11), 2726-2737, 2019
292019
Semi-Supervised Optimal Transport for Heterogeneous Domain Adaptation.
Y Yan, W Li, H Wu, H Min, M Tan, Q Wu
IJCAI, 2969-2975, 2018
292018
Online heterogeneous transfer by hedge ensemble of offline and online decisions
Y Yan, Q Wu, M Tan, MK Ng, H Min, IW Tsang
IEEE transactions on neural networks and learning systems 29 (7), 3252-3263, 2017
292017
Adversarial learning with local coordinate coding
J Cao, Y Guo, Q Wu, C Shen, J Huang, M Tan
arXiv preprint arXiv:1806.04895, 2018
282018
Cotransfer learning using coupled Markov chains with restart
Q Wu, MK Ng, Y Ye
IEEE intelligent Systems 29 (4), 26-33, 2013
282013
Attention guided network for retinal image segmentation
S Zhang, H Fu, Y Yan, Y Zhang, Q Wu, M Yang, M Tan, Y Xu
International Conference on Medical Image Computing and Computer-Assisted …, 2019
262019
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Artikelen 1–20