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Browsing by Author wu, qingyao
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Showing results 1 to 20 of 20
Title
Author(s)
Issue Date
A fast Markov chain based algorithm for MIML learning
Journal:
Neurocomputing
Ng, Michael K.
Wu, Qingyao
Shen, Chenyang
2016
Co-transfer learning via joint transition probability graph based method
Proceeding/Conference:
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Ng, Michael K.
Wu, Qingyao
Ye, Yunming
2012
Collective prediction of protein functions from protein-protein interaction networks
Journal:
BMC Bioinformatics
Wu, Qingyao
Ye, Yunming
Ng, Michael K.
Ho, Shen Shyang
Shi, Ruichao
2014
Cotransfer learning using coupled markov chains with restart
Journal:
IEEE Intelligent Systems
Wu, Qingyao
Ng, Michael K.
Ye, Yunming
2014
Exploiting word cluster information for unsupervised feature selection
Proceeding/Conference:
PRICAI 2010: Trends in Artificial Intelligence: 11th Pacific Rim International Conference on Artificial Intelligence, Daegu, Korea, August 30–September 2, 2010: Proceedings
Wu, Qingyao
Ye, Yunming
Ng, Michael
Su, Hanjing
Huang, Joshua
2010
ForesTexter: An efficient random forest algorithm for imbalanced text categorization
Journal:
Knowledge-Based Systems
Wu, Qingyao
Ye, Yunming
Zhang, Haijun
Ng, Michael K.
Ho, Shen Shyang
2014
Learning discriminative correlation subspace for heterogeneous domain adaptation
Proceeding/Conference:
International Joint Conference on Artificial Intelligence (IJCAI)
Yan, Yuguang
Li, Wen
Ng, Michael
Tan, Mingkui
Wu, Hanrui
Min, Huaqing
Wu, Qingyao
2017
Markov-Miml: A Markov chain-based multi-instance multi-label learning algorithm
Journal:
Knowledge and Information Systems
Wu, Qingyao
Ng, Michael K.
Ye, Yunming
2013
ML-FOREST: A multi-label tree ensemble method for multi-label classification
Journal:
IEEE Transactions on Knowledge and Data Engineering
Wu, Qingyao
Tan, Mingkui
Song, Hengjie
Chen, Jian
Ng, Michael K.
2016
MR-NTD: Manifold regularization nonnegative tucker decomposition for tensor data dimension reduction and representation
Journal:
IEEE Transactions on Neural Networks and Learning Systems
Li, Xutao
Ng, Michael K.
Cong, Gao
Ye, Yunming
Wu, Qingyao
2017
Multi-instance transfer metric learning by weighted distribution and consistent maximum likelihood estimation
Journal:
Neurocomputing
Jiang, Siyu
Xu, Yonghui
Song, Hengjie
Wu, Qingyao
Ng, Michael K.
Min, Huaqing
Qiu, Shaojian
2018
Multi-label collective classification via Markov chain based learning method
Journal:
Knowledge-Based Systems
Wu, Qingyao
Ng, Michael K.
Ye, Yunming
Li, Xutao
Shi, Ruichao
Li, Yan
2014
MultiFacTV: Finding modules from higher-order gene expression profiles with time dimension
Proceeding/Conference:
Proceedings - 2012 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2012
Li, Xutao
Ye, Yunming
Wu, Qingyao
Ng, Michael K.
2012
MultiFacTV: Module detection from higher-order time series biological data
Journal:
BMC Genomics
Li, Xutao
Ye, Yunming
Ng, Michael
Wu, Qingyao
2013
Online heterogeneous transfer by hedge ensemble of offline and online decisions
Journal:
IEEE Transactions on Neural Networks and Learning Systems
Yan, Yuguang
Wu, Qingyao
Tan, Mingkui
Ng, Michael K.
Min, Huaqing
Tsang, Ivor W.
2018
Online heterogeneous transfer learning by knowledge transition
Journal:
ACM Transactions on Intelligent Systems and Technology
Wu, Hanrui
Yan, Yuguang
Ye, Yuzhong
Min, Huaqing
Ng, Michael K.
Wu, Qingyao
2019
SNP selection and classification of genome-wide SNP data using stratified sampling random forests
Journal:
IEEE Transactions on Nanobioscience
Wu, Qingyao
Ye, Yunming
Liu, Yang
Ng, Michael K.
2012
Stratified random forest for genome-wide association study
Proceeding/Conference:
Proceedings - 2011 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2011
Wu, Qingyao
Ye, Yunming
Liu, Yang
Ng, Michael
2011
Stratified sampling for feature subspace selection in random forests for high dimensional data
Journal:
Pattern Recognition
Ye, Yunming
Wu, Qingyao
Zhexue Huang, Joshua
Ng, Michael K.
Li, Xutao
2013
Tensor based relations ranking for multi-relational collective classification
Proceeding/Conference:
Proceedings - IEEE International Conference on Data Mining, ICDM
Han, Chao
Wu, Qingyao
Ng, Michael K.
Cao, Jiezhang
Tan, Mingkui
Chen, Jian
2017