Qingyao Wu
Qingyao Wu
School of Software Engineering, South China University of Technology
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Zitiert von
Zitiert von
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 31, 2018
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/CVF International Conference on Computer Vision …, 2019
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
Attention guided network for retinal image segmentation
S Zhang, H Fu, Y Yan, Y Zhang, Q Wu, M Yang, M Tan, Y Xu
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
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
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
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
Collaborative unsupervised domain adaptation for medical image diagnosis
Y Zhang, Y Wei, Q Wu, P Zhao, S Niu, J Huang, M Tan
IEEE Transactions on Image Processing 29, 7834-7844, 2020
Semi-Supervised Optimal Transport for Heterogeneous Domain Adaptation.
Y Yan, W Li, H Wu, H Min, M Tan, Q Wu
IJCAI 7, 2969-2975, 2018
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
Context decoupling augmentation for weakly supervised semantic segmentation
Y Su, R Sun, G Lin, Q Wu
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
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, 1-11, 2015
Deep guidance network for biomedical image segmentation
P Yin, R Yuan, Y Cheng, Q Wu
IEEE access 8, 116106-116116, 2020
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
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
Cost-sensitive portfolio selection via deep reinforcement learning
Y Zhang, P Zhao, Q Wu, B Li, J Huang, M Tan
IEEE Transactions on Knowledge and Data Engineering 34 (1), 236-248, 2020
Breaking winner-takes-all: Iterative-winners-out networks for weakly supervised temporal action localization
R Zeng, C Gan, P Chen, W Huang, Q Wu, M Tan
IEEE Transactions on Image Processing 28 (12), 5797-5808, 2019
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
Cross-modal relation-aware networks for audio-visual event localization
H Xu, R Zeng, Q Wu, M Tan, C Gan
Proceedings of the 28th ACM International Conference on Multimedia, 3893-3901, 2020
A unified transformer framework for group-based segmentation: Co-segmentation, co-saliency detection and video salient object detection
Y Su, J Deng, R Sun, G Lin, H Su, Q Wu
IEEE Transactions on Multimedia 26, 313-325, 2023
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