Jintang Bian - researchr alias

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Viewing Publication 1 - 6 from 6

2024

Robust and Sparse Principal Component Analysis With Adaptive Loss Minimization for Feature SelectionJintang Bian, Dandan Zhao, Feiping Nie 0001, Rong Wang 0001, Xuelong Li 0001. tnn, 35(3):3601-3614, March 2024. [doi]

2023

Sparse and Flexible Projections for Unsupervised Feature SelectionRong Wang 0001, Canyu Zhang, Jintang Bian, Zheng Wang 0037, Feiping Nie 0001, Xuelong Li 0001. tkde, 35(6):6362-6375, June 2023. [doi]

Nonlinear Feature Selection Neural Network via Structured Sparse RegularizationRong Wang 0001, Jintang Bian, Feiping Nie 0001, Xuelong Li 0001. tnn, 34(11):9493-9505, November 2023. [doi]

Sparse PCA via $\ell _{2,p}$ℓ2,p-Norm Regularization for Unsupervised Feature SelectionZhengxin Li, Feiping Nie 0001, Jintang Bian, Danyang Wu, Xuelong Li 0001. pami, 45(4):5322-5328, April 2023. [doi]

Unsupervised Subspace Learning With Flexible NeighboringWeizhong Yu, Jintang Bian, Feiping Nie 0001, Rong Wang 0001, Xuelong Li 0001. tnn, 34(4):2043-2056, April 2023. [doi]

2022

Unsupervised Discriminative Projection for Feature SelectionRong Wang 0001, Jintang Bian, Feiping Nie 0001, Xuelong Li. tkde, 34(2):942-953, 2022. [doi]

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