Kewei Tang

According to our database, Kewei Tang authored at least 28 papers between 2010 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Adaptive feature alignment network with noise suppression for cross-domain object detection.

Wei Jiang, Yujie Luan, Kewei Tang, Lijun Wang, Nan Zhang, Huiling Chen, Heng Qi

Neurocomputing, 2025

2024

Multi-view deep subspace clustering via level-by-level guided multi-level features learning.

Kaiqiang Xu, Kewei Tang, Zhixun Su

Appl. Intell., November, 2024

Clean and robust multi-level subspace representations learning for deep multi-view subspace clustering.

Kaiqiang Xu, Kewei Tang, Zhixun Su, Hongchen Tan

Expert Syst. Appl., 2024

Opportunities and challenges in the application of large artificial intelligence models in radiology.

Liangrui Pan, Zhenyu Zhao, Ying Lu, Kewei Tang, Liyong Fu, Qingchun Liang, Shaoliang Peng

CoRR, 2024

2023

Multi-view subspace clustering via consistent and diverse deep latent representations.

Kewei Tang, Kaiqiang Xu, Zhixun Su, Nan Zhang

Inf. Sci., December, 2023

Multi-view Subspace Clustering Based on Unified Measure Standard.

Kewei Tang, Xiaoru Wang, Jinhong Li

Neural Process. Lett., October, 2023

Selecting the Best Part From Multiple Laplacian Autoencoders for Multi-View Subspace Clustering.

Kewei Tang, Kaiqiang Xu, Wei Jiang, Zhixun Su, Xiyan Sun, Xiaonan Luo

IEEE Trans. Knowl. Data Eng., July, 2023

Deep multi-view subspace clustering via structure-preserved multi-scale features fusion.

Kaiqiang Xu, Kewei Tang, Zhixun Su

Neural Comput. Appl., February, 2023

2022

Consistent auto-weighted multi-view subspace clustering.

Kewei Tang, Liying Cao, Nan Zhang, Wei Jiang

Pattern Anal. Appl., 2022

2021

Feature interpolation convolution for point cloud analysis.

Jie Zhang, Jian Liu, Xiuping Liu, Jiang Wei, Junjie Cao, Kewei Tang

Comput. Graph., 2021

2020

Robust dense correspondence using deep convolutional features.

Yang Liu, Jinshan Pan, Zhixun Su, Kewei Tang

Vis. Comput., 2020

Point Cloud Normal Estimation by Fast Guided Least Squares Representation.

Jie Zhang, Jiahui Duan, Kewei Tang, Junjie Cao, Xiuping Liu

IEEE Access, 2020

Local Connectivity Enhanced Sparse Representation.

Kewei Tang, Liying Cao, Jinhong Li, Xingxuan Peng, Zhixun Su, Xiyan Sun, Xiaonan Luo

IEEE Access, 2020

2019

Subspace segmentation with a large number of subspaces using infinity norm minimization.

Kewei Tang, Zhixun Su, Yang Liu, Wei Jiang, Jie Zhang, Xiyan Sun

Pattern Recognit., 2019

Bayesian rank penalization.

Kewei Tang, Zhixun Su, Jie Zhang, Lihong Cui, Wei Jiang, Xiaonan Luo, Xiyan Sun

Neural Networks, 2019

Robust subspace learning-based low-rank representation for manifold clustering.

Kewei Tang, Zhixun Su, Wei Jiang, Jie Zhang, Xiyan Sun, Xiaonan Luo

Neural Comput. Appl., 2019

Superpixels for large dataset subspace clustering.

Kewei Tang, Zhixun Su, Wei Jiang, Jie Zhang

Neural Comput. Appl., 2019

Structure-Constrained Feature Extraction by Autoencoders for Subspace Clustering.

Kewei Tang, Kaiqiang Xu, Zhixun Su, Wei Jiang, Xiaonan Luo, Xiyan Sun

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018

Nonnegative matrix factorization by joint locality-constrained and ℓ 2, 1-norm regularization.

Ling Xing, Hao Dong, Wei Jiang, Kewei Tang

Multim. Tools Appl., 2018

Robust Semisupervised Nonnegative Local Coordinate Factorization for Data Representation.

Wei Jiang, Qian Lv, Chenggang Yan, Kewei Tang, Jie Zhang

Complex., 2018

Robust Local Learning and Discriminative Concept Factorization for Data Representation.

Wei Jiang, Xiaoting Feng, Tingting Ma, Ling Xing, Kewei Tang

IEEE Access, 2018

2016

Bayesian Low-Rank and Sparse Nonlinear Representation for Manifold Clustering.

Kewei Tang, Jie Zhang, Zhixun Su, Jiangxin Dong

Neural Process. Lett., 2016

Subspace segmentation by dense block and sparse representation.

Kewei Tang, David B. Dunson, Zhixun Su, Risheng Liu, Jie Zhang, Jiangxin Dong

Neural Networks, 2016

Subspace Learning Based Low-Rank Representation.

Kewei Tang, Xiaodong Liu, Zhixun Su, Wei Jiang, Jiangxin Dong

Proceedings of the Computer Vision - ACCV 2016, 2016

Sparse Gradient Pursuit for Robust Visual Analysis.

Jiangxin Dong, Risheng Liu, Kewei Tang, Yiyang Wang, Xindong Zhang, Zhixun Su

Proceedings of the Computer Vision - ACCV 2016, 2016

2014

Structure-Constrained Low-Rank Representation.

Kewei Tang, Risheng Liu, Zhixun Su, Jie Zhang

IEEE Trans. Neural Networks Learn. Syst., 2014

2013

Toward designing intelligent PDEs for computer vision: An optimal control approach.

Risheng Liu, Zhouchen Lin, Wei Zhang, Kewei Tang, Zhixun Su

Image Vis. Comput., 2013

2010

Feature extraction by learning Lorentzian metric tensor and its extensions.

Risheng Liu, Zhouchen Lin, Zhixun Su, Kewei Tang

Pattern Recognit., 2010