Jianwen Tao

According to our database, Jianwen Tao authored at least 23 papers between 2009 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Robust multi-source co-adaptation with adaptive loss minimization.

Jianwen Tao, Yufang Dan, Di Zhou

Signal Process. Image Commun., 2021

Knowledge worker scheduling optimization model based on bacterial foraging algorithm.

Yufang Dan, Jianwen Tao

Future Gener. Comput. Syst., 2021

2019

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

Jianwen Tao, Di Zhou, Fangyu Liu, Bin Zhu

Pattern Recognit., 2019

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

Jianwen Tao, Wei Dai

Neural Networks, 2019

Robust multi-model adaptation regression with local feature space representation.

Jianjing Fu, Jianwen Tao

Knowl. Based Syst., 2019

Enhancing Service Composition by Discovering Cloud Services Community.

Shiting Wen, Jinqiu Yang, Genlang Chen, Jianwen Tao, Xinjie Yu, An Liu

IEEE Access, 2019

Low-Rank Constrained Latent Domain Adaptation Co-Regression for Robust Depression Recognition.

Jianwen Tao, Haote Xu, Jianjing Fu

IEEE Access, 2019

Discovering Domain-Invariant Subspace for Depression Recognition by Jointly Exploiting Appearance and Dynamics Feature Representations.

Jianwen Tao, Haote Xu

IEEE Access, 2019

2018

Robust Latent Regression with discriminative regularization by leveraging auxiliary knowledge.

Jianwen Tao, Di Zhou, Bin Zhu

Neural Networks, 2018

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

Jianwen Tao, Di Zhou, Bin Zhu

Knowl. Based Syst., 2018

2017

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

Jianwen Tao, Dawei Song, Shiting Wen, Wenjun Hu

Pattern Recognit., 2017

2016

Multi-source adaptation joint kernel sparse representation for visual classification.

Jianwen Tao, Wenjun Hu, Shiting Wen

Neural Networks, 2016

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

Jianwen Tao, Shiting Wen, Wenjun Hu

Knowl. Based Syst., 2016

2015

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

Jianwen Tao, Shiting Wen, Wenjun Hu

Neural Networks, 2015

Nonnegative matrix factorization with manifold regularization and maximum discriminant information.

Wenjun Hu, Kup-Sze Choi, Jianwen Tao, Yunliang Jiang, Shitong Wang

Int. J. Mach. Learn. Cybern., 2015

Robust domain adaptation image classification via sparse and low rank representation.

Jianwen Tao, Shiting Wen, Wenjun Hu

J. Vis. Commun. Image Represent., 2015

Minimum class spread constrained support vector machine.

Jianwen Tao, Shitong Wang, Wenjun Hu

Neurocomputing, 2015

2014

Towards Automatic Construction of Skyline Composite Services.

Shiting Wen, Qing Li, Liwen He, An Liu, Jianwen Tao, Longjin Lv

J. Web Eng., 2014

Sparsity regularization label propagation for domain adaptation learning.

Jianwen Tao, Wenjun Hu, Shitong Wang

Neurocomputing, 2014

2012

On minimum distribution discrepancy support vector machine for domain adaptation.

Jianwen Tao, Korris Fu-Lai Chung, Shitong Wang

Pattern Recognit., 2012

A kernel learning framework for domain adaptation learning.

Jianwen Tao, Fu-Lai Chung, Shitong Wang

Sci. China Inf. Sci., 2012

2010

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

Jianwen Tao, Shitong Wang, Wenjun Hu, Wenhao Ying

Int. J. Softw. Informatics, 2010

2009

RCHIG: An Effective Clustering Algorithm with Ranking.

Jianwen Tao

J. Softw., 2009