Jianwen Tao

发表

Sparsity regularization label propagation for domain adaptation learning

Shitong Wang, Wenjun Hu, Jianwen Tao, 2014, Neurocomputing.

Robust domain adaptation image classification via sparse and low rank representation

Shiting Wen, Wenjun Hu, Jianwen Tao, 2015, J. Vis. Commun. Image Represent..

Discriminative multi-source adaptation multi-feature co-regression for visual classification

Wei Dai, Jianwen Tao, Jianwen Tao, 2019, Neural Networks.

POUPM: An Efficient Algorithm for Mining Partial Order User Preferences

Jianwen Tao, Peifen Ding, Jianwen Tao, 2008, 2008 Second International Symposium on Intelligent Information Technology Application.

Robust multi-model adaptation regression with local feature space representation

Jianwen Tao, Jianjing Fu, Jianwen Tao, 2019, Knowl. Based Syst..

Towards Automatic Construction of Skyline Composite Services

Qing Li, An Liu, Shiting Wen, 2014, J. Web Eng..

Multi-source adaptation joint kernel sparse representation for visual classification

Shiting Wen, Wenjun Hu, Jianwen Tao, 2016, Neural Networks.

L1-norm locally linear representation regularization multi-source adaptation learning

Shiting Wen, Wenjun Hu, Jianwen Tao, 2015, Neural Networks.

A kernel learning framework for domain adaptation learning

Korris Fu-Lai Chung, Shitong Wang, Jianwen Tao, 2012, Science China Information Sciences.

Minimum class spread constrained support vector machine

Shitong Wang, Wenjun Hu, Jianwen Tao, 2015, Neurocomputing.

On minimum distribution discrepancy support vector machine for domain adaptation

Korris Fu-Lai Chung, Shitong Wang, Jianwen Tao, 2012, Pattern Recognit..

Nonnegative matrix factorization with manifold regularization and maximum discriminant information

Kup-Sze Choi, Shitong Wang, Wenjun Hu, 2015, Int. J. Mach. Learn. Cybern..

Multi-source adaptation learning with global and local regularization by exploiting joint kernel sparse representation

Shiting Wen, Wenjun Hu, Jianwen Tao, 2016, Knowl. Based Syst..

Latent multi-feature co-regression for visual recognition by discriminatively leveraging multi-source models

Bin Zhu, Di Zhou, Fangyu Liu, 2019, Pattern Recognit..

Robust multi-source adaptation visual classification using supervised low-rank representation

Dawei Song, Shiting Wen, Wenjun Hu, 2017, Pattern Recognit..

Multi-source adaptation embedding with feature selection by exploiting correlation information

Bin Zhu, Di Zhou, Jianwen Tao, 2017, Knowl. Based Syst..

RCHIG: An Effective Clustering Algorithm with Ranking

Jianwen Tao, 2009, J. Softw..

Robust Latent Regression with discriminative regularization by leveraging auxiliary knowledge

Bin Zhu, Di Zhou, Jianwen Tao, 2018, Neural Networks.

p-Margin Kernel Learning Machine with Magnetic Field Effect for Both Binary Classification and Novelty Detection

Shitong Wang, Wenjun Hu, Wenhao Ying, 2010, Int. J. Softw. Informatics.