Kewei Tang

30 papers Journal 27Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Enhanced schatten quasi-norm approximation for low tubal rank tensor completion.
Neurocomputing
Wei Jiang, Xiyi Yuan, Hongyan Li, Kewei Tang, Lijun Wang, Nan Zhang, Huiling Chen, Heng Qi
2025 J jnl
Adaptive feature alignment network with noise suppression for cross-domain object detection.
Neurocomputing
Wei Jiang, Yujie Luan, Kewei Tang, Lijun Wang, Nan Zhang, Huiling Chen, Heng Qi
2024 J jnl
Clean and robust multi-level subspace representations learning for deep multi-view subspace clustering.
Expert Syst. Appl.
Kaiqiang Xu, Kewei Tang, Zhixun Su, Hongchen Tan
2024 J jnl
Multi-view deep subspace clustering via level-by-level guided multi-level features learning.
Appl. Intell.
Kaiqiang Xu, Kewei Tang, Zhixun Su
2024 J jnl
Opportunities and challenges in the application of large artificial intelligence models in radiology.
CoRR
Liangrui Pan, Zhenyu Zhao, Ying Lu, Kewei Tang, Liyong Fu, Qingchun Liang, Shaoliang Peng
2023 J jnl
Deep multi-view subspace clustering via structure-preserved multi-scale features fusion.
Neural Comput. Appl.
Kaiqiang Xu, Kewei Tang, Zhixun Su
2023 J jnl
Multi-view Subspace Clustering Based on Unified Measure Standard.
Neural Process. Lett.
Kewei Tang, Xiaoru Wang, Jinhong Li
2023 J jnl
Multi-view subspace clustering via consistent and diverse deep latent representations.
Inf. Sci.
Kewei Tang, Kaiqiang Xu, Zhixun Su, Nan Zhang
2023 J jnl
Selecting the Best Part From Multiple Laplacian Autoencoders for Multi-View Subspace Clustering.
IEEE Trans. Knowl. Data Eng.
Kewei Tang, Kaiqiang Xu, Wei Jiang, Zhixun Su, Xiyan Sun, Xiaonan Luo
2022 J jnl
Consistent auto-weighted multi-view subspace clustering.
Pattern Anal. Appl.
Kewei Tang, Liying Cao, Nan Zhang, Wei Jiang
2021 J jnl
Feature interpolation convolution for point cloud analysis.
Comput. Graph.
Jie Zhang, Jian Liu, Xiuping Liu, Jiang Wei, Junjie Cao, Kewei Tang
2020 J jnl
Local Connectivity Enhanced Sparse Representation.
IEEE Access
Kewei Tang, Liying Cao, Jinhong Li, Xingxuan Peng, Zhixun Su, Xiyan Sun, Xiaonan Luo
2020 J jnl
Point Cloud Normal Estimation by Fast Guided Least Squares Representation.
IEEE Access
Jie Zhang, Jiahui Duan, Kewei Tang, Junjie Cao, Xiuping Liu
2020 J jnl
Robust dense correspondence using deep convolutional features.
Vis. Comput.
Yang Liu, Jinshan Pan, Zhixun Su, Kewei Tang
2019 J jnl
Bayesian rank penalization.
Neural Networks
Kewei Tang, Zhixun Su, Jie Zhang, Lihong Cui, Wei Jiang, Xiaonan Luo, Xiyan Sun
2019 J jnl
Robust subspace learning-based low-rank representation for manifold clustering.
Neural Comput. Appl.
Kewei Tang, Zhixun Su, Wei Jiang, Jie Zhang, Xiyan Sun, Xiaonan Luo
2019 — conf
Structure-Constrained Feature Extraction by Autoencoders for Subspace Clustering.
ICCV Workshops
Kewei Tang, Kaiqiang Xu, Zhixun Su, Wei Jiang, Xiaonan Luo, Xiyan Sun
2019 J jnl
Subspace segmentation with a large number of subspaces using infinity norm minimization.
Pattern Recognit.
Kewei Tang, Zhixun Su, Yang Liu, Wei Jiang, Jie Zhang, Xiyan Sun
2019 J jnl
Superpixels for large dataset subspace clustering.
Neural Comput. Appl.
Kewei Tang, Zhixun Su, Wei Jiang, Jie Zhang
2018 J jnl
Nonnegative matrix factorization by joint locality-constrained and ℓ 2, 1-norm regularization.
Multim. Tools Appl.
Ling Xing, Hao Dong, Wei Jiang, Kewei Tang
2018 J jnl
Robust Local Learning and Discriminative Concept Factorization for Data Representation.
IEEE Access
Wei Jiang, Xiaoting Feng, Tingting Ma, Ling Xing, Kewei Tang
2018 J jnl
Robust Semisupervised Nonnegative Local Coordinate Factorization for Data Representation.
Complex.
Wei Jiang, Qian Lv, Chenggang Yan, Kewei Tang, Jie Zhang
2016 J jnl
Bayesian Low-Rank and Sparse Nonlinear Representation for Manifold Clustering.
Neural Process. Lett.
Kewei Tang, Jie Zhang, Zhixun Su, Jiangxin Dong
2016 — conf
Sparse Gradient Pursuit for Robust Visual Analysis.
ACCV (1)
Jiangxin Dong, Risheng Liu, Kewei Tang, Yiyang Wang, Xindong Zhang, Zhixun Su
2016 — conf
Subspace Learning Based Low-Rank Representation.
ACCV (1)
Kewei Tang, Xiaodong Liu, Zhixun Su, Wei Jiang, Jiangxin Dong
2016 J jnl
Subspace segmentation by dense block and sparse representation.
Neural Networks
Kewei Tang, David B. Dunson, Zhixun Su, Risheng Liu, Jie Zhang, Jiangxin Dong
2014 J jnl
Structure-Constrained Low-Rank Representation.
IEEE Trans. Neural Networks Learn. Syst.
Kewei Tang, Risheng Liu, Zhixun Su, Jie Zhang
2013 J jnl
Toward designing intelligent PDEs for computer vision: An optimal control approach.
Image Vis. Comput.
Risheng Liu, Zhouchen Lin, Wei Zhang, Kewei Tang, Zhixun Su
2011 J jnl
Toward Designing Intelligent PDEs for Computer Vision: An Optimal Control Approach
CoRR
Risheng Liu, Zhouchen Lin, Wei Zhang, Kewei Tang, Zhixun Su
2010 J jnl
Feature extraction by learning Lorentzian metric tensor and its extensions.
Pattern Recognit.
Risheng Liu, Zhouchen Lin, Zhixun Su, Kewei Tang