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    Author information
    First name: Qingyao
    Last name: Wu
    DBLP: 42/8374
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    Show item 1 to 34 of 34  
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    Conference paper
    Yonghui Xu, Sinno Jialin Pan, Hui Xiong, Qingyao Wu, Ronghua Luo, Huaqing Min, Hengjie Song.
    A Unified Framework for Metric Transfer Learning.
    IEEE Trans. Knowl. Data Eng. 2017, Volume 29 (0) 2017
    Conference paper
    Qingyao Wu, Hanrui Wu, Xiaoming Zhou, Mingkui Tan, Yonghui Xu, Yuguang Yan, Tianyong Hao.
    Online Transfer Learning with Multiple Homogeneous or Heterogeneous Sources.
    IEEE Trans. Knowl. Data Eng. 2017, Volume 29 (0) 2017
    Conference paper
    Xutao Li, Michael K. Ng, Gao Cong, Yunming Ye, Qingyao Wu.
    MR-NTD: Manifold Regularization Nonnegative Tucker Decomposition for Tensor Data Dimension Reduction and Representation.
    IEEE Trans. Neural Netw. Learning Syst. 2017, Volume 28 (0) 2017
    Conference paper
    Qingyao Wu, Xiaoming Zhou, Yuguang Yan, Hanrui Wu, Huaqing Min.
    Online transfer learning by leveraging multiple source domains.
    Knowl. Inf. Syst. 2017, Volume 52 (0) 2017
    Conference paper
    Yuguang Yan, Wen Li, Michael K. Ng, Mingkui Tan, Hanrui Wu, Huaqing Min, Qingyao Wu.
    Learning Discriminative Correlation Subspace for Heterogeneous Domain Adaptation.
    Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, IJCAI 2017, Melbourne, Australia, August 19-25, 2017 2017 (0) 2017
    Conference paper
    Jinxia Li, Yihan Zheng, Chao Han, Qingyao Wu, Jian Chen.
    Extremely Randomized Forest with Hierarchy of Multi-label Classifiers.
    Intelligence Science and Big Data Engineering - 7th International Conference, IScIDE 2017, Dalian, China, September 22-23, 2017, Proceedings 2017 (0) 2017
    Journal article
    Hengjie Song, Yonghui Xu, Huaqing Min, Qingyao Wu, Wei Wei, Jianshu Weng, Xiaogang Han, Qiang Yang 0001, Jialiang Shi, Jiaqian Gu, Chunyan Miao, Toyoaki Nishida.
    Individual Judgments Versus Consensus: Estimating Query-URL Relevance.
    TWEB 2016, Volume 10 (0) 2016
    Conference paper
    Yongxin Liao, Shenxi Yuan, Jian Chen, Qingyao Wu, Bin Li.
    Joint Classification with Heterogeneous Labels Using Random Walk with Dynamic Label Propagation.
    Advances in Knowledge Discovery and Data Mining - 20th Pacific-Asia Conference, PAKDD 2016, Auckland, New Zealand, April 19-22, 2016, Proceedings, Part I 2016 (0) 2016
    Conference paper
    Chao Han, Yun-Kun Tan, Jin-Hui Zhu, Yong Guo, Jian Chen, Qingyao Wu.
    Online Feature Selection of Class Imbalance via PA Algorithm.
    J. Comput. Sci. Technol. 2016, Volume 31 (0) 2016
    Conference paper
    Qingyao Wu, Mingkui Tan, Hengjie Song, Jian Chen, Michael K. Ng.
    ML-FOREST: A Multi-Label Tree Ensemble Method for Multi-Label Classification.
    IEEE Trans. Knowl. Data Eng. 2016, Volume 28 (0) 2016
    Journal article
    Yonghui Xu, Huaqing Min, Hengjie Song, Qingyao Wu.
    Multi-instance multi-label distance metric learning for genome-wide protein function prediction.
    Computational Biology and Chemistry 2016, Volume 63 (0) 2016
    Conference paper
    Yuguang Yan, Qingyao Wu, Mingkui Tan, Huaqing Min.
    Online Heterogeneous Transfer Learning by Weighted Offline and Online Classifiers.
    Computer Vision - ECCV 2016 Workshops - Amsterdam, The Netherlands, October 8-10 and 15-16, 2016, Proceedings, Part III 2016 (0) 2016
    Conference paper
    Michael K. Ng, Qingyao Wu, Chenyang Shen.
    A fast Markov chain based algorithm for MIML learning.
    Neurocomputing 2016, Volume 216 (0) 2016
    Conference paper
    Yong Guo, Mingkui Tan, Qingyao Wu, Jian Chen, Anton van den Hengel, Qinfeng Shi.
    The Shallow End: Empowering Shallower Deep-Convolutional Networks through Auxiliary Outputs.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Feng Wu, Qiong Liu, Tianyong Hao, Xiaojun Chen, Qingyao Wu.
    Online Multi-Instance Multi-Label learning for protein function prediction.
    IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2016, Shenzhen, China, December 15-18, 2016 2016 (0) 2016
    Journal article
    Qingyao Wu, Zhenyu Wang, Chunshan Li, Yunming Ye, Yueping Li, Ning Sun.
    Protein functional properties prediction in sparsely-label PPI networks through regularized non-negative matrix factorization.
    BMC Systems Biology 2015, Volume 9 (0) 2015
    Conference paper
    Qingyao Wu, Yunming Ye, Haijun Zhang, Tommy W. S. Chow, Shen-Shyang Ho.
    ML-TREE: A Tree-Structure-Based Approach to Multilabel Learning.
    IEEE Trans. Neural Netw. Learning Syst. 2015, Volume 26 (0) 2015
    Journal article
    Thanh-Tung Nguyen, Joshua Zhexue Huang, Qingyao Wu, Thuy Nguyen, Mark Junjie Li.
    Genome-wide association data classification and SNPs selection using two-stage quality-based Random Forests.
    BMC Genomics 2015, Volume 16 (0) 2015
    Conference paper
    Chao Han, Jian Chen 0011, Qingyao Wu, Shuai Mu, Huaqing Min.
    Sparse Markov chain-based semi-supervised multi-instance multi-label method for protein function prediction.
    J. Bioinformatics and Computational Biology 2015, Volume 13 (0) 2015
    Journal article
    Qingyao Wu, Mingkui Tan, Xutao Li, Huaqing Min, Ning Sun.
    NMFE-SSCC: Non-negative matrix factorization ensemble for semi-supervised collective classification.
    Knowl.-Based Syst. 2015, Volume 89 (0) 2015
    Conference paper
    Qingyao Wu, Jian Chen 0011, Shen-Shyang Ho, Xutao Li, Huaqing Min, Chao Han.
    Multi-Label Regularized Generative Model for Semi-Supervised Collective Classification in Large-Scale Networks.
    Big Data Research 2015, Volume 2 (0) 2015
    Journal article
    Qingyao Wu, Yunming Ye, Michael K. Ng, Shen-Shyang Ho, Ruichao Shi.
    Collective prediction of protein functions from protein-protein interaction networks.
    BMC Bioinformatics 2014, Volume 15 (0) 2014
    Journal article
    Qingyao Wu, Michael K. Ng, Yunming Ye, Xutao Li, Ruichao Shi, Yan Li.
    Multi-label collective classification via Markov chain based learning method.
    Knowl.-Based Syst. 2014, Volume 63 (0) 2014
    Conference paper
    Ruichao Shi, Qingyao Wu, Yunming Ye, Shen-Shyang Ho.
    A Generative Model with Network Regularization for Semi-Supervised Collective Classification.
    Proceedings of the 2014 SIAM International Conference on Data Mining, Philadelphia, Pennsylvania, USA, April 24-26, 2014 2014 (0) 2014
    Conference paper
    Qingyao Wu, Michael K. Ng, Yunming Ye.
    Cotransfer Learning Using Coupled Markov Chains with Restart.
    IEEE Intelligent Systems 2014, Volume 29 (0) 2014
    Conference paper
    Qingyao Wu, Yunming Ye, Haijun Zhang, Michael K. Ng, Shen-Shyang Ho.
    ForesTexter: An efficient random forest algorithm for imbalanced text categorization.
    Knowl.-Based Syst. 2014, Volume 67 (0) 2014
    Conference paper
    Yunming Ye, Qingyao Wu, Joshua Zhexue Huang, Michael K. Ng, Xutao Li.
    Stratified sampling for feature subspace selection in random forests for high dimensional data.
    Pattern Recognition 2013, Volume 46 (0) 2013
    Conference paper
    Yunming Ye, Qingyao Wu, Yan Li, K. P. Chow, Lucas Chi Kwong Hui, Siu-Ming Yiu.
    Unknown Chinese word extraction based on variety of overlapping strings.
    Inf. Process. Manage. 2013, Volume 49 (0) 2013
    Journal article
    Qingyao Wu, Michael K. Ng, Yunming Ye.
    Markov-Miml: A Markov chain-based multi-instance multi-label learning algorithm.
    Knowl. Inf. Syst. 2013, Volume 37 (0) 2013
    Conference paper
    Qingyao Wu, Yunming Ye, Xiaofeng Zhang, Shen-Shyang Ho.
    Cluster tree based multi-label classification for protein function prediction.
    2013 IEEE International Conference on Bioinformatics and Biomedicine, Shanghai, China, December 18-21, 2013 2013 (0) 2013
    Conference paper
    Xutao Li, Yunming Ye, Qingyao Wu, Michael K. Ng.
    MultiFacTV: Finding modules from higher-order gene expression profiles with time dimension.
    2012 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2012, Philadelphia, PA, USA, October 4-7, 2012 2012 (0) 2012
    Conference paper
    Qingyao Wu, Yunming Ye, Yang Liu, Michael K. Ng.
    Stratified Random Forest for Genome-wide Association Study.
    IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2011, Atlanta, GA, USA, November 12-15, , 2011 2011 (0) 2011
    Conference paper
    Qingyao Wu, Yunming Ye, Michael K. Ng, Hanjing Su, Joshua Zhexue Huang.
    Exploiting Word Cluster Information for Unsupervised Feature Selection.
    PRICAI 2010: Trends in Artificial Intelligence, 11th Pacific Rim International Conference on Artificial Intelligence, Daegu, Korea, August 30-September 2, 2010. Proceedings 2010 (0) 2010
    Conference paper
    Hanjing Su, Ling Chen, Yunming Ye, Zhaocai Sun, Qingyao Wu.
    A Refinement Approach to Handling Model Misfit in Semi-supervised Learning.
    Advanced Data Mining and Applications - 6th International Conference, ADMA 2010, Chongqing, China, November 19-21, 2010, Proceedings, Part II 2010 (0) 2010
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    Your query returned 34 matches in the database.