Qingyao Wu

发表

Breaking Winner-Takes-All: Iterative-Winners-Out Networks for Weakly Supervised Temporal Action Localization

Runhao Zeng, Chuang Gan, Peihao Chen, 2019, IEEE Transactions on Image Processing.

From Whole Slide Imaging to Microscopy: Deep Microscopy Adaptation Network for Histopathology Cancer Image Classification

Qingyao Wu, Mingkui Tan, Junzhou Huang, 2019, MICCAI.

Multi-Instance Metric Transfer Learning for Genome-Wide Protein Function Prediction

Qingyao Wu, Yonghui Xu, Hengjie Song, 2017, Scientific Reports.

Iterative Refinement for Multi-Source Visual Domain Adaptation

Qingyao Wu, Guosheng Lin, Hanrui Wu, 2022, IEEE Transactions on Knowledge and Data Engineering.

Supervised Feature Selection With a Stratified Feature Weighting Method

Qingyao Wu, Ning Sun, Min Yang, 2018, IEEE Access.

StackRec: Efficient Training of Very Deep Sequential Recommender Models by Layer Stacking pdf

Qingyao Wu, Yang Sun, Jian Chen, 2020, ArXiv.

Multi-instance multi-label distance metric learning for genome-wide protein function prediction

Qingyao Wu, Huaqing Min, Hengjie Song, 2016, Comput. Biol. Chem..

Online Heterogeneous Transfer by Hedge Ensemble of Offline and Online Decisions

Ivor W. Tsang, Michael K. Ng, Qingyao Wu, 2018, IEEE Transactions on Neural Networks and Learning Systems.

ML-TREE: A Tree-Structure-Based Approach to Multilabel Learning

Tommy W. S. Chow, Yunming Ye, Qingyao Wu, 2015, IEEE Transactions on Neural Networks and Learning Systems.

Collective prediction of protein functions from protein-protein interaction networks

Yunming Ye, Michael K. Ng, Qingyao Wu, 2014, BMC Bioinformatics.

Unknown Chinese word extraction based on variety of overlapping strings

Siu-Ming Yiu, Yunming Ye, Qingyao Wu, 2013, Inf. Process. Manag..

Hierarchical human-like strategy for aspect-level sentiment classification with sentiment linguistic knowledge and reinforcement learning

Qingyao Wu, Wei Zhou, Zhou Zhao, 2019, Neural Networks.

Online Transfer Learning with Multiple Homogeneous or Heterogeneous Sources

Qingyao Wu, Mingkui Tan, Tianyong Hao, 2017, IEEE Transactions on Knowledge and Data Engineering.

Cost-Sensitive Portfolio Selection via Deep Reinforcement Learning pdf

Yifan Zhang, Qingyao Wu, Mingkui Tan, 2020, IEEE Transactions on Knowledge and Data Engineering.

Joint Classification with Heterogeneous Labels Using Random Walk with Dynamic Label Propagation

Bin Li, Qingyao Wu, Jian Chen, 2016, PAKDD.

Multi-instance transfer metric learning by weighted distribution and consistent maximum likelihood estimation

Michael K. Ng, Qingyao Wu, Huaqing Min, 2018, Neurocomputing.

Stratified Random Forest for Genome-wide Association Study

Yunming Ye, Michael K. Ng, Qingyao Wu, 2011, 2011 IEEE International Conference on Bioinformatics and Biomedicine.

Guided M-Net for High-Resolution Biomedical Image Segmentation with Weak Boundaries

Shihao Zhang, Qingyao Wu, Mingkui Tan, 2019, OMIA@MICCAI.

A Generative Model with Network Regularization for Semi-Supervised Collective Classification

Yunming Ye, Qingyao Wu, Shen-Shyang Ho, 2014, SDM.

Oversampling for Imbalanced Data via Optimal Transport

Michael K. Ng, Qingyao Wu, Mingkui Tan, 2019, AAAI.

Automatic Segmentation of Cortex and Nucleus in Anterior Segment OCT Images

Qingyao Wu, Mingkui Tan, Huaqing Min, 2018, COMPAY/OMIA@MICCAI.

Leveraging question target word features through semantic relation expansion for answer type classification

Qingyao Wu, Tianyong Hao, Yingying Qu, 2017, Knowl. Based Syst..

Scripted Video Generation With a Bottom-Up Generative Adversarial Network

Qi Wu, Qingyao Wu, Mingkui Tan, 2020, IEEE Transactions on Image Processing.

A fast Markov chain based algorithm for MIML learning

Michael K. Ng, Qingyao Wu, Chenyang Shen, 2016, Neurocomputing.

Learning Discriminative Correlation Subspace for Heterogeneous Domain Adaptation

Michael K. Ng, Wen Li, Qingyao Wu, 2017, IJCAI.

A Stratified Feature Ranking Method for Supervised Feature Selection

Qingyao Wu, Renjie Chen, Xiaojun Chen, 2018, AAAI.

Visual Grounding via Accumulated Attention

Qi Wu, Qingyao Wu, Mingkui Tan, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Cotransfer Learning Using Coupled Markov Chains with Restart

Yunming Ye, Michael K. Ng, Qingyao Wu, 2014, IEEE Intelligent Systems.

Subspace Weighting Co-Clustering of Gene Expression Data

Xiaojun Chen, Qingyao Wu, Min Yang, 2019, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Online Adaptive Asymmetric Active Learning for Budgeted Imbalanced Data

Qingyao Wu, Mingkui Tan, Junzhou Huang, 2018, KDD.

Online Heterogeneous Transfer Learning by Weighted Offline and Online Classifiers

Qingyao Wu, Mingkui Tan, Huaqing Min, 2016, ECCV Workshops.

MR-NTD: Manifold Regularization Nonnegative Tucker Decomposition for Tensor Data Dimension Reduction and Representation

Yunming Ye, Michael K. Ng, Qingyao Wu, 2017, IEEE Transactions on Neural Networks and Learning Systems.

Discrimination-aware Channel Pruning for Deep Neural Networks

Jing Liu, Jin-Hui Zhu, Qingyao Wu, 2018, NeurIPS.

Genome-wide association data classification and SNPs selection using two-stage quality-based Random Forests

Qingyao Wu, Joshua Zhexue Huang, Mark Junjie Li, 2015, BMC Genomics.

Multi-label collective classification via Markov chain based learning method

Yunming Ye, Michael K. Ng, Qingyao Wu, 2014, Knowl. Based Syst..

Knowledge-enhanced Hierarchical Attention for Community Question Answering with Multi-task and Adaptive Learning

Lei Chen, Qingyao Wu, Min Yang, 2019, IJCAI.

Attention Guided Network for Retinal Image Segmentation

Shihao Zhang, Qingyao Wu, Mingkui Tan, 2019, MICCAI.

Extremely Randomized Forest with Hierarchy of Multi-label Classifiers

Qingyao Wu, Chao Han, Jian Chen, 2017, IScIDE.

Far-infrared pedestrian detection for advanced driver assistance systems using scene context

Qingyao Wu, Guohua Wang, Qiong Liu, 2016 .

MultiFacTV: Finding modules from higher-order gene expression profiles with time dimension

Yunming Ye, Qingyao Wu, Xutao Li, 2012, 2012 IEEE International Conference on Bioinformatics and Biomedicine.

A Refinement Approach to Handling Model Misfit in Semi-supervised Learning

Ling Chen, Yunming Ye, Qingyao Wu, 2010, ADMA.

Markov-Miml: A Markov chain-based multi-instance multi-label learning algorithm

Yunming Ye, Michael K. Ng, Qingyao Wu, 2012, Knowledge and Information Systems.

NMFE-SSCC: Non-negative matrix factorization ensemble for semi-supervised collective classification

Qingyao Wu, Mingkui Tan, Huaqing Min, 2015, Knowl. Based Syst..

PM-Net: Pyramid Multi-label Network for Joint Optic Disc and Cup Segmentation

Ming Yang, Qingyao Wu, Mingkui Tan, 2019, MICCAI.

A Unified Framework for Metric Transfer Learning

Hui Xiong, Qingyao Wu, Huaqing Min, 2017, IEEE Transactions on Knowledge and Data Engineering.

Domain-attention Conditional Wasserstein Distance for Multi-source Domain Adaptation

Qingyao Wu, Hanrui Wu, Yuguang Yan, 2020, ACM Trans. Intell. Syst. Technol..

COVID-DA: Deep Domain Adaptation from Typical Pneumonia to COVID-19 pdf

Yifan Zhang, Qingyao Wu, Mingkui Tan, 2020, ArXiv.

Learning Sparse PCA with Stabilized ADMM Method on Stiefel Manifold

Qingyao Wu, Mingkui Tan, Jiezhang Cao, 2019, IEEE Transactions on Knowledge and Data Engineering.

Online Feature Selection of Class Imbalance via PA Algorithm

Jin-Hui Zhu, Qingyao Wu, Yong Guo, 2016, Journal of Computer Science and Technology.

ForesTexter: An efficient random forest algorithm for imbalanced text categorization

Yunming Ye, Michael K. Ng, Qingyao Wu, 2014, Knowl. Based Syst..

Cluster tree based multi-label classification for protein function prediction

Yunming Ye, Qingyao Wu, Shen-Shyang Ho, 2013, 2013 IEEE International Conference on Bioinformatics and Biomedicine.

LABIN: Balanced Min Cut for Large-Scale Data

Xiaojun Chen, Feiping Nie, Qingyao Wu, 2020, IEEE Transactions on Neural Networks and Learning Systems.

ML-FOREST: A Multi-Label Tree Ensemble Method for Multi-Label Classification

Michael K. Ng, Qingyao Wu, Mingkui Tan, 2016, IEEE Transactions on Knowledge and Data Engineering.

A Self-Balanced Min-Cut Algorithm for Image Clustering

Feiping Nie, Qingyao Wu, Joshua Zhexue Huang, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Online Multi-Instance Multi-Label learning for protein function prediction

Feng Wu, Qingyao Wu, Tianyong Hao, 2016, 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Protein functional properties prediction in sparsely-label PPI networks through regularized non-negative matrix factorization

Yunming Ye, Yueping Li, Zhenyu Wang, 2015, BMC Systems Biology.

2012 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2012, Philadelphia, PA, USA, October 4-7, 2012

Xiaohua Hu, Yunming Ye, Majid Sarrafzadeh, 2012, IEEE International Conference on Bioinformatics and Biomedicine.

Stratified sampling for feature subspace selection in random forests for high dimensional data

Yunming Ye, Michael K. Ng, Qingyao Wu, 2013, Pattern Recognit..

Auto-Embedding Generative Adversarial Networks For High Resolution Image Synthesis

Qingyao Wu, Mingkui Tan, Yong Guo, 2019, IEEE Transactions on Multimedia.

Tensor Based Relations Ranking for Multi-relational Collective Classification

Michael K. Ng, Qingyao Wu, Mingkui Tan, 2017, 2017 IEEE International Conference on Data Mining (ICDM).

Online Adaptive Asymmetric Active Learning With Limited Budgets pdf

Yifan Zhang, Qingyao Wu, Mingkui Tan, 2019, IEEE Transactions on Knowledge and Data Engineering.

Online transfer learning by leveraging multiple source domains

Qingyao Wu, Huaqing Min, Xiaoming Zhou, 2017, Knowledge and Information Systems.

The Shallow End: Empowering Shallower Deep-Convolutional Networks through Auxiliary Outputs pdf

Qingyao Wu, Mingkui Tan, Yong Guo, 2016, ArXiv.

Sparse Markov chain-based semi-supervised multi-instance multi-label method for protein function prediction

Qingyao Wu, Huaqing Min, Chao Han, 2015, J. Bioinform. Comput. Biol..

Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis

Yifan Zhang, Qingyao Wu, Mingkui Tan, 2019, IEEE Transactions on Image Processing.

Human Interaction Learning on 3D Skeleton Point Clouds for Video Violence Recognition

Qingyao Wu, Guosheng Lin, Jinhui Zhu, 2020, ECCV.

Semi-Supervised Optimal Transport for Heterogeneous Domain Adaptation

Wen Li, Qingyao Wu, Mingkui Tan, 2018, IJCAI.

Cartoon-to-Photo Facial Translation with Generative Adversarial Networks

Qingyao Wu, Mingkui Tan, Zhu Liang Yu, 2018, ACML.

Online Heterogeneous Transfer Learning by Knowledge Transition

Qingyao Wu, Huaqing Min, Hanrui Wu, 2019, ACM Trans. Intell. Syst. Technol..

Multi-Label Regularized Generative Model for Semi-Supervised Collective Classification in Large-Scale Networks

Qingyao Wu, Huaqing Min, Xutao Li, 2015, Big Data Res..

Geometric Knowledge Embedding for unsupervised domain adaptation

Qingyao Wu, Hanrui Wu, Yuguang Yan, 2020, Knowl. Based Syst..

On the Flatness of Loss Surface for Two-layered ReLU Networks

Li Wang, Qingyao Wu, Mingkui Tan, 2017, ACML.

Individual Judgments Versus Consensus: Estimating Query-URL Relevance

Chunyan Miao, Qiang Yang, Toyoaki Nishida, 2016, TWEB.

Double Forward Propagation for Memorized Batch Normalization pdf

Qingyao Wu, Mingkui Tan, Yong Guo, 2018, AAAI.

Attend and Imagine: Multi-Label Image Classification With Visual Attention and Recurrent Neural Networks

Qi Wu, Qingyao Wu, Mingkui Tan, 2019, IEEE Transactions on Multimedia.

Adversarial Learning with Local Coordinate Coding

Qingyao Wu, Mingkui Tan, Junzhou Huang, 2018, ICML.

Joint Visual and Semantic Optimization for zero-shot learning

Michael K. Ng, Qingyao Wu, Hanrui Wu, 2021, Knowl. Based Syst..

Transferable Feature Selection for Unsupervised Domain Adaptation

Qingyao Wu, Hanrui Wu, Yuguang Yan, 2021, IEEE Transactions on Knowledge and Data Engineering.

Semi-supervised multi-label collective classification ensemble for functional genomics

Yunming Ye, Shuigeng Zhou, Qingyao Wu, 2014, BMC Genomics.