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Zenglin Xu

Showing results (11-20 of 37) with videos related to

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IEEE Transactions on Neural Networks and Learning Systems|May 24, 2021
Improved Inference for Imputation-Based Semisupervised Learning Under Misspecified SettingShaogao Lv, Linsen Wei, Qian Zhang, et al.
IEEE Transactions on Cybernetics|January 11, 2019
Robust Graph Learning From Noisy DataZhao Kang, Haiqi Pan, Steven C H Hoi, et al.
Neural Networks : the Official Journal of the International Neural Network Society|August 9, 2020
Relation-Guided Representation LearningZhao Kang, Xiao Lu, Jian Liang, et al.
International Journal of Molecular Sciences|April 12, 2022
Single Cell Self-Paced Clustering with Transcriptome Sequencing DataPeng Zhao, Zenglin Xu, Junjie Chen, et al.
IEEE Transactions on Neural Networks and Learning Systems|March 3, 2025
Advocating for the Silent: Enhancing Federated Generalization for Nonparticipating ClientsZheshun Wu, Zenglin Xu, Dun Zeng, et al.
IEEE Transactions on Neural Networks|June 24, 2010
Discriminative semi-supervised feature selection via manifold regularizationZenglin Xu, Irwin King, Michael Rung-Tsong Lyu, et al.
IEEE Transactions on Neural Networks|January 25, 2011
Efficient sparse generalized multiple kernel learningHaiqin Yang, Zenglin Xu, Jieping Ye, et al.
Neural Networks : the Official Journal of the International Neural Network Society|January 27, 2009
A novel kernel-based maximum a posteriori classification methodZenglin Xu, Kaizhu Huang, Jianke Zhu, et al.
Neural Networks : the Official Journal of the International Neural Network Society|June 10, 2020
Structure learning with similarity preservingZhao Kang, Xiao Lu, Yiwei Lu, et al.
IEEE Transactions on Neural Networks and Learning Systems|July 12, 2018
Variational Random Function Model for Network ModelingZenglin Xu, Bin Liu, Shandian Zhe, et al.
Pageof 4

Showing results (11-20 of 37) with videos related to

Sort By:
Pageof 4
IEEE Transactions on Neural Networks and Learning Systems|May 24, 2021
Improved Inference for Imputation-Based Semisupervised Learning Under Misspecified SettingShaogao Lv, Linsen Wei, Qian Zhang, et al.
IEEE Transactions on Cybernetics|January 11, 2019
Robust Graph Learning From Noisy DataZhao Kang, Haiqi Pan, Steven C H Hoi, et al.
Neural Networks : the Official Journal of the International Neural Network Society|August 9, 2020
Relation-Guided Representation LearningZhao Kang, Xiao Lu, Jian Liang, et al.
International Journal of Molecular Sciences|April 12, 2022
Single Cell Self-Paced Clustering with Transcriptome Sequencing DataPeng Zhao, Zenglin Xu, Junjie Chen, et al.
IEEE Transactions on Neural Networks and Learning Systems|March 3, 2025
Advocating for the Silent: Enhancing Federated Generalization for Nonparticipating ClientsZheshun Wu, Zenglin Xu, Dun Zeng, et al.
IEEE Transactions on Neural Networks|June 24, 2010
Discriminative semi-supervised feature selection via manifold regularizationZenglin Xu, Irwin King, Michael Rung-Tsong Lyu, et al.
IEEE Transactions on Neural Networks|January 25, 2011
Efficient sparse generalized multiple kernel learningHaiqin Yang, Zenglin Xu, Jieping Ye, et al.
Neural Networks : the Official Journal of the International Neural Network Society|January 27, 2009
A novel kernel-based maximum a posteriori classification methodZenglin Xu, Kaizhu Huang, Jianke Zhu, et al.
Neural Networks : the Official Journal of the International Neural Network Society|June 10, 2020
Structure learning with similarity preservingZhao Kang, Xiao Lu, Yiwei Lu, et al.
IEEE Transactions on Neural Networks and Learning Systems|July 12, 2018
Variational Random Function Model for Network ModelingZenglin Xu, Bin Liu, Shandian Zhe, et al.
Pageof 4