RCHIG: An Effective Clustering Algorithm with Ranking. - Jianwen Tao (J. Softw., 2009)

p-Margin Kernel Learning Machine with Magnetic Field Effect for Both Binary Classification and Novelty Detection. - Jianwen Tao; Shitong Wang 001; Wenjun Hu; Wenhao Ying (Int. J. Softw. Informatics, 2010)

A kernel learning framework for domain adaptation learning. - Jianwen Tao; Fu-Lai Chung; Shitong Wang 001 (Sci. China Inf. Sci., 2012)

On minimum distribution discrepancy support vector machine for domain adaptation. - Jianwen Tao; Korris Fu-Lai Chung; Shitong Wang 001 (Pattern Recognit., 2012)

Sparsity regularization label propagation for domain adaptation learning. - Jianwen Tao; Wenjun Hu; Shitong Wang 001 (Neurocomputing, 2014)

Towards Automatic Construction of Skyline Composite Services. - Shiting Wen; Qing Li 001; Liwen He; An Liu 002; Jianwen Tao; Longjin Lv (J. Web Eng., 2014)

Minimum class spread constrained support vector machine. - Jianwen Tao; Shitong Wang 001; Wenjun Hu (Neurocomputing, 2015)

Robust domain adaptation image classification via sparse and low rank representation. - Jianwen Tao; Shiting Wen; Wenjun Hu (J. Vis. Commun. Image Represent., 2015)

Nonnegative matrix factorization with manifold regularization and maximum discriminant information. - Wenjun Hu; Kup-Sze Choi; Jianwen Tao; Yunliang Jiang; Shitong Wang 001 (Int. J. Mach. Learn. Cybern., 2015)

L1-norm locally linear representation regularization multi-source adaptation learning. - Jianwen Tao; Shiting Wen; Wenjun Hu (Neural Networks, 2015)

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)

Multi-source adaptation joint kernel sparse representation for visual classification. - Jianwen Tao; Wenjun Hu; Shiting Wen (Neural Networks, 2016)

Robust multi-source adaptation visual classification using supervised low-rank representation. - Jianwen Tao; Dawei Song 001; Shiting Wen; Wenjun Hu (Pattern Recognit., 2017)

Multi-source adaptation embedding with feature selection by exploiting correlation information. - Jianwen Tao; Di Zhou; Bin Zhu 002 (Knowl. Based Syst., 2018)

Robust Latent Regression with discriminative regularization by leveraging auxiliary knowledge. - Jianwen Tao; Di Zhou; Bin Zhu 002 (Neural Networks, 2018)

Discovering Domain-Invariant Subspace for Depression Recognition by Jointly Exploiting Appearance and Dynamics Feature Representations. - Jianwen Tao; Haote Xu (IEEE Access, 2019)

Low-Rank Constrained Latent Domain Adaptation Co-Regression for Robust Depression Recognition. - Jianwen Tao; Haote Xu; Jianjing Fu (IEEE Access, 2019)

Enhancing Service Composition by Discovering Cloud Services Community. - Shiting Wen; Jinqiu Yang 002; Genlang Chen; Jianwen Tao; Xinjie Yu; An Liu 002 (IEEE Access, 2019)

Robust multi-model adaptation regression with local feature space representation. - Jianjing Fu; Jianwen Tao (Knowl. Based Syst., 2019)

Discriminative multi-source adaptation multi-feature co-regression for visual classification. - Jianwen Tao; Wei Dai (Neural Networks, 2019)

Latent multi-feature co-regression for visual recognition by discriminatively leveraging multi-source models. - Jianwen Tao; Di Zhou; Fangyu Liu; Bin Zhu 002 (Pattern Recognit., 2019)

Knowledge worker scheduling optimization model based on bacterial foraging algorithm. - Yufang Dan; Jianwen Tao (Future Gener. Comput. Syst., 2021)

Robust multi-source co-adaptation with adaptive loss minimization. - Jianwen Tao; Yufang Dan; Di Zhou (Signal Process. Image Commun., 2021)

Domain-Invariant Adaptive Graph Regularized Label Propagation for EEG-Based Emotion Recognition. - Jianwen Tao; Liangda Yan; Tao He (IEEE Access, 2024)

Domain-Invariant Label Propagation With Adaptive Graph Regularization. - Yanning Zhang; Jianwen Tao; Liangda Yan (IEEE Access, 2024)