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Jianwen Tao
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2020 – today
- 2021
- [j23]Yufang Dan, Jianwen Tao:
Knowledge worker scheduling optimization model based on bacterial foraging algorithm. Future Gener. Comput. Syst. 124: 330-337 (2021) - [j22]Jianwen Tao, Yufang Dan, Di Zhou:
Robust multi-source co-adaptation with adaptive loss minimization. Signal Process. Image Commun. 99: 116455 (2021)
2010 – 2019
- 2019
- [j21]Shiting Wen
, Jinqiu Yang, Genlang Chen, Jianwen Tao, Xinjie Yu, An Liu
:
Enhancing Service Composition by Discovering Cloud Services Community. IEEE Access 7: 32472-32481 (2019) - [j20]Jianwen Tao
, Haote Xu, Jianjing Fu:
Low-Rank Constrained Latent Domain Adaptation Co-Regression for Robust Depression Recognition. IEEE Access 7: 145406-145425 (2019) - [j19]Jianwen Tao
, Haote Xu
:
Discovering Domain-Invariant Subspace for Depression Recognition by Jointly Exploiting Appearance and Dynamics Feature Representations. IEEE Access 7: 186417-186436 (2019) - [j18]Jianjing Fu, Jianwen Tao:
Robust multi-model adaptation regression with local feature space representation. Knowl. Based Syst. 174: 160-176 (2019) - [j17]Jianwen Tao, Wei Dai:
Discriminative multi-source adaptation multi-feature co-regression for visual classification. Neural Networks 114: 96-118 (2019) - [j16]Jianwen Tao, Di Zhou, Fangyu Liu, Bin Zhu:
Latent multi-feature co-regression for visual recognition by discriminatively leveraging multi-source models. Pattern Recognit. 87: 296-316 (2019) - 2018
- [j15]Jianwen Tao, Di Zhou, Bin Zhu:
Multi-source adaptation embedding with feature selection by exploiting correlation information. Knowl. Based Syst. 143: 208-224 (2018) - [j14]Jianwen Tao, Di Zhou, Bin Zhu:
Robust Latent Regression with discriminative regularization by leveraging auxiliary knowledge. Neural Networks 101: 79-93 (2018) - 2017
- [j13]Jianwen Tao, Dawei Song, Shiting Wen
, Wenjun Hu:
Robust multi-source adaptation visual classification using supervised low-rank representation. Pattern Recognit. 61: 47-65 (2017) - 2016
- [j12]Jianwen Tao, Shiting Wen
, Wenjun Hu:
Multi-source adaptation learning with global and local regularization by exploiting joint kernel sparse representation. Knowl. Based Syst. 98: 76-94 (2016) - [j11]Jianwen Tao, Wenjun Hu, Shiting Wen
:
Multi-source adaptation joint kernel sparse representation for visual classification. Neural Networks 76: 135-151 (2016) - 2015
- [j10]Jianwen Tao, Shitong Wang, Wenjun Hu:
Minimum class spread constrained support vector machine. Neurocomputing 151: 481-500 (2015) - [j9]Jianwen Tao, Shiting Wen
, Wenjun Hu:
Robust domain adaptation image classification via sparse and low rank representation. J. Vis. Commun. Image Represent. 33: 134-148 (2015) - [j8]Wenjun Hu, Kup-Sze Choi
, Jianwen Tao, Yunliang Jiang, Shitong Wang:
Nonnegative matrix factorization with manifold regularization and maximum discriminant information. Int. J. Mach. Learn. Cybern. 6(5): 837-846 (2015) - [j7]Jianwen Tao, Shiting Wen
, Wenjun Hu:
L1-norm locally linear representation regularization multi-source adaptation learning. Neural Networks 69: 80-98 (2015) - 2014
- [j6]Jianwen Tao, Wenjun Hu, Shitong Wang:
Sparsity regularization label propagation for domain adaptation learning. Neurocomputing 139: 202-219 (2014) - [j5]Shiting Wen, Qing Li, Liwen He, An Liu, Jianwen Tao, Longjin Lv:
Towards Automatic Construction of Skyline Composite Services. J. Web Eng. 13(5&6): 361-377 (2014) - 2012
- [j4]Jianwen Tao, Fu-Lai Chung
, Shitong Wang:
A kernel learning framework for domain adaptation learning. Sci. China Inf. Sci. 55(9): 1983-2007 (2012) - [j3]Jianwen Tao, Korris Fu-Lai Chung
, Shitong Wang:
On minimum distribution discrepancy support vector machine for domain adaptation. Pattern Recognit. 45(11): 3962-3984 (2012) - 2010
- [j2]Jianwen Tao, Shitong Wang, Wenjun Hu, Wenhao Ying:
p-Margin Kernel Learning Machine with Magnetic Field Effect for Both Binary Classification and Novelty Detection. Int. J. Softw. Informatics 4(3): 305-324 (2010)
2000 – 2009
- 2009
- [j1]Jianwen Tao:
RCHIG: An Effective Clustering Algorithm with Ranking. J. Softw. 4(4): 382-389 (2009)
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