Jianwen Tao

发表

A kernel learning framework for domain adaptation learning

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

Multi-Model Adaptation Learning With Possibilistic Clustering Assumption for EEG-Based Emotion Recognition

Jianwen Tao, Yufang Dan, Di Zhou, 2022, Frontiers in Neuroscience.

Robust Latent Multi-Source Adaptation for Encephalogram-Based Emotion Recognition

Jianwen Tao, Yufang Dan, Di Zhou, 2022, Frontiers in Neuroscience.

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

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

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..

Multi-source adaptation joint kernel sparse representation for visual classification

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

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

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

Robust domain adaptation image classification via sparse and low rank representation

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

Robust multi-source co-adaptation with adaptive loss minimization

Yufang Dan, Jianwen Tao, Di Zhou, 2021, Signal Process. Image Commun..

Possibilistic Clustering-Promoting Semi-Supervised Learning for EEG-Based Emotion Recognition

Jianwen Tao, Jianjing Fu, Yufang Dan, 2021, Frontiers in Neuroscience.

Robust multi-model adaptation regression with local feature space representation

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

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

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

Sparsity regularization label propagation for domain adaptation learning

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

On minimum distribution discrepancy support vector machine for domain adaptation

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

Multi-Source Co-adaptation for EEG-Based Emotion Recognition by Mining Correlation Information

Jianwen Tao, Yufang Dan, 2021, Frontiers in Neuroscience.

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

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

Robust Latent Regression with discriminative regularization by leveraging auxiliary knowledge

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

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

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

A kernel learning framework for domain adaptation learning

Shitong Wang, Jianwen Tao, K. F. Chung, 2012, Science China Information Sciences.

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

Jianwen Tao, Haote Xu, Jianjing Fu, 2019, IEEE Access.

Local domain generalization with low-rank constraint for EEG-based emotion recognition

Jianwen Tao, Yufang Dan, Di Zhou, 2023, Frontiers in neuroscience.

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

Jianwen Tao, Haote Xu, Jianwen Tao, 2019, IEEE Access.

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.