Feature extraction by learning Lorentzian metric tensor and its extensions. - Risheng Liu; Zhouchen Lin; Zhixun Su; Kewei Tang (Pattern Recognit., 2010)

Toward designing intelligent PDEs for computer vision: An optimal control approach. - Risheng Liu; Zhouchen Lin; Wei Zhang 010; Kewei Tang; Zhixun Su (Image Vis. Comput., 2013)

Structure-Constrained Low-Rank Representation. - Kewei Tang; Risheng Liu; Zhixun Su; Jie Zhang 056 (IEEE Trans. Neural Networks Learn. Syst., 2014)

Sparse Gradient Pursuit for Robust Visual Analysis. - Jiangxin Dong; Risheng Liu; Kewei Tang; Yiyang Wang 001; Xindong Zhang; Zhixun Su (ACCV (1), 2016)

Subspace Learning Based Low-Rank Representation. - Kewei Tang; Xiaodong Liu 001; Zhixun Su; Wei Jiang 007; Jiangxin Dong (ACCV (1), 2016)

Subspace segmentation by dense block and sparse representation. - Kewei Tang; David B. Dunson; Zhixun Su; Risheng Liu; Jie Zhang 056; Jiangxin Dong (Neural Networks, 2016)

Bayesian Low-Rank and Sparse Nonlinear Representation for Manifold Clustering. - Kewei Tang; Jie Zhang 056; Zhixun Su; Jiangxin Dong (Neural Process. Lett., 2016)

Robust Local Learning and Discriminative Concept Factorization for Data Representation. - Wei Jiang 007; Xiaoting Feng; Tingting Ma; Ling Xing; Kewei Tang (IEEE Access, 2018)

Robust Semisupervised Nonnegative Local Coordinate Factorization for Data Representation. - Wei Jiang 007; Qian Lv; Chenggang Yan 001; Kewei Tang; Jie Zhang 056 (Complex., 2018)

Nonnegative matrix factorization by joint locality-constrained and ℓ 2, 1-norm regularization. - Ling Xing; Hao Dong; Wei Jiang 007; Kewei Tang (Multim. Tools Appl., 2018)

Structure-Constrained Feature Extraction by Autoencoders for Subspace Clustering. - Kewei Tang; Kaiqiang Xu; Zhixun Su; Wei Jiang 007; Xiaonan Luo; Xiyan Sun (ICCV Workshops, 2019)

Superpixels for large dataset subspace clustering. - Kewei Tang; Zhixun Su; Wei Jiang 007; Jie Zhang 056 (Neural Comput. Appl., 2019)

Robust subspace learning-based low-rank representation for manifold clustering. - Kewei Tang; Zhixun Su; Wei Jiang 007; Jie Zhang 056; Xiyan Sun; Xiaonan Luo (Neural Comput. Appl., 2019)

Bayesian rank penalization. - Kewei Tang; Zhixun Su; Jie Zhang 056; Lihong Cui; Wei Jiang 007; Xiaonan Luo; Xiyan Sun (Neural Networks, 2019)

Subspace segmentation with a large number of subspaces using infinity norm minimization. - Kewei Tang; Zhixun Su; Yang Liu 119; Wei Jiang 007; Jie Zhang 056; Xiyan Sun (Pattern Recognit., 2019)

Local Connectivity Enhanced Sparse Representation. - Kewei Tang; Liying Cao; Jinhong Li; Xingxuan Peng; Zhixun Su; Xiyan Sun; Xiaonan Luo (IEEE Access, 2020)

Point Cloud Normal Estimation by Fast Guided Least Squares Representation. - Jie Zhang 056; Jiahui Duan; Kewei Tang; Junjie Cao 001; Xiuping Liu (IEEE Access, 2020)

Robust dense correspondence using deep convolutional features. - Yang Liu 119; Jinshan Pan; Zhixun Su; Kewei Tang (Vis. Comput., 2020)

Feature interpolation convolution for point cloud analysis. - Jie Zhang 056; Jian Liu; Xiuping Liu; Jiang Wei; Junjie Cao 001; Kewei Tang (Comput. Graph., 2021)

Consistent auto-weighted multi-view subspace clustering. - Kewei Tang; Liying Cao; Nan Zhang; Wei Jiang 007 (Pattern Anal. Appl., 2022)

Deep multi-view subspace clustering via structure-preserved multi-scale features fusion. - Kaiqiang Xu; Kewei Tang; Zhixun Su (Neural Comput. Appl., 2023)

Selecting the Best Part From Multiple Laplacian Autoencoders for Multi-View Subspace Clustering. - Kewei Tang; Kaiqiang Xu; Wei Jiang 007; Zhixun Su; Xiyan Sun; Xiaonan Luo (IEEE Trans. Knowl. Data Eng., 2023)

Multi-view Subspace Clustering Based on Unified Measure Standard. - Kewei Tang; Xiaoru Wang; Jinhong Li (Neural Process. Lett., 2023)

Multi-view subspace clustering via consistent and diverse deep latent representations. - Kewei Tang; Kaiqiang Xu; Zhixun Su; Nan Zhang (Inf. Sci., 2023)

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)

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)

Multi-view deep subspace clustering via level-by-level guided multi-level features learning. - Kaiqiang Xu; Kewei Tang; Zhixun Su (Appl. Intell., 2024)

Adaptive feature alignment network with noise suppression for cross-domain object detection. - Wei Jiang 007; Yujie Luan; Kewei Tang; Lijun Wang; Nan Zhang; Huiling Chen; Heng Qi (Neurocomputing, 2025)