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2020 – today
- 2025
[j24]Wei Jiang
, Yujie Luan, Kewei Tang, Lijun Wang, Nan Zhang, Huiling Chen, Heng Qi:
Adaptive feature alignment network with noise suppression for cross-domain object detection. Neurocomputing 614: 128789 (2025)- 2024
- [j23]Kaiqiang Xu, Kewei Tang, Zhixun Su:
Multi-view deep subspace clustering via level-by-level guided multi-level features learning. Appl. Intell. 54(21): 11083-11102 (2024) - [j22]Kaiqiang Xu, Kewei Tang, Zhixun Su, Hongchen Tan:
Clean and robust multi-level subspace representations learning for deep multi-view subspace clustering. Expert Syst. Appl. 252: 124243 (2024) - [i2]Liangrui Pan, Zhenyu Zhao, Ying Lu, Kewei Tang, Liyong Fu, Qingchun Liang, Shaoliang Peng:
Opportunities and challenges in the application of large artificial intelligence models in radiology. CoRR abs/2403.16112 (2024) - 2023
- [j21]Kewei Tang, Kaiqiang Xu, Zhixun Su, Nan Zhang:
Multi-view subspace clustering via consistent and diverse deep latent representations. Inf. Sci. 651: 119719 (2023) - [j20]Kaiqiang Xu, Kewei Tang, Zhixun Su:
Deep multi-view subspace clustering via structure-preserved multi-scale features fusion. Neural Comput. Appl. 35(4): 3203-3219 (2023) - [j19]Kewei Tang, Xiaoru Wang, Jinhong Li:
Multi-view Subspace Clustering Based on Unified Measure Standard. Neural Process. Lett. 55(5): 6231-6246 (2023) - [j18]Kewei Tang, Kaiqiang Xu, Wei Jiang, Zhixun Su, Xiyan Sun, Xiaonan Luo:
Selecting the Best Part From Multiple Laplacian Autoencoders for Multi-View Subspace Clustering. IEEE Trans. Knowl. Data Eng. 35(7): 7457-7469 (2023) - 2022
- [j17]Kewei Tang, Liying Cao, Nan Zhang, Wei Jiang:
Consistent auto-weighted multi-view subspace clustering. Pattern Anal. Appl. 25(4): 879-890 (2022) - 2021
- [j16]Jie Zhang, Jian Liu, Xiuping Liu, Jiang Wei, Junjie Cao, Kewei Tang:
Feature interpolation convolution for point cloud analysis. Comput. Graph. 99: 182-191 (2021) - 2020
- [j15]Jie Zhang, Jiahui Duan, Kewei Tang, Junjie Cao, Xiuping Liu:
Point Cloud Normal Estimation by Fast Guided Least Squares Representation. IEEE Access 8: 101580-101590 (2020) - [j14]Kewei Tang, Liying Cao, Jinhong Li, Xingxuan Peng, Zhixun Su, Xiyan Sun, Xiaonan Luo:
Local Connectivity Enhanced Sparse Representation. IEEE Access 8: 159854-159863 (2020) - [j13]Yang Liu, Jinshan Pan, Zhixun Su, Kewei Tang:
Robust dense correspondence using deep convolutional features. Vis. Comput. 36(4): 827-841 (2020)
2010 – 2019
- 2019
- [j12]Kewei Tang, Zhixun Su, Wei Jiang, Jie Zhang, Xiyan Sun, Xiaonan Luo:
Robust subspace learning-based low-rank representation for manifold clustering. Neural Comput. Appl. 31(11): 7921-7933 (2019) - [j11]Kewei Tang, Zhixun Su, Wei Jiang, Jie Zhang:
Superpixels for large dataset subspace clustering. Neural Comput. Appl. 31(12): 8727-8736 (2019) - [j10]Kewei Tang, Zhixun Su, Jie Zhang, Lihong Cui, Wei Jiang, Xiaonan Luo, Xiyan Sun:
Bayesian rank penalization. Neural Networks 116: 246-256 (2019) - [j9]Kewei Tang, Zhixun Su, Yang Liu, Wei Jiang, Jie Zhang, Xiyan Sun:
Subspace segmentation with a large number of subspaces using infinity norm minimization. Pattern Recognit. 89: 45-54 (2019) - [c3]Kewei Tang, Kaiqiang Xu, Zhixun Su, Wei Jiang, Xiaonan Luo, Xiyan Sun:
Structure-Constrained Feature Extraction by Autoencoders for Subspace Clustering. ICCV Workshops 2019: 624-632 - 2018
- [j8]Wei Jiang, Xiaoting Feng, Tingting Ma, Ling Xing, Kewei Tang:
Robust Local Learning and Discriminative Concept Factorization for Data Representation. IEEE Access 6: 68675-68685 (2018) - [j7]Wei Jiang, Qian Lv, Chenggang Yan, Kewei Tang, Jie Zhang:
Robust Semisupervised Nonnegative Local Coordinate Factorization for Data Representation. Complex. 2018: 7963210:1-7963210:16 (2018) - [j6]Ling Xing, Hao Dong, Wei Jiang, Kewei Tang:
Nonnegative matrix factorization by joint locality-constrained and ℓ 2, 1-norm regularization. Multim. Tools Appl. 77(3): 3029-3048 (2018) - 2016
- [j5]Kewei Tang, David B. Dunson, Zhixun Su, Risheng Liu, Jie Zhang, Jiangxin Dong:
Subspace segmentation by dense block and sparse representation. Neural Networks 75: 66-76 (2016) - [j4]Kewei Tang, Jie Zhang, Zhixun Su, Jiangxin Dong:
Bayesian Low-Rank and Sparse Nonlinear Representation for Manifold Clustering. Neural Process. Lett. 44(3): 719-733 (2016) - [c2]Jiangxin Dong, Risheng Liu, Kewei Tang, Yiyang Wang, Xindong Zhang, Zhixun Su:
Sparse Gradient Pursuit for Robust Visual Analysis. ACCV (1) 2016: 369-384 - [c1]Kewei Tang, Xiaodong Liu, Zhixun Su, Wei Jiang, Jiangxin Dong:
Subspace Learning Based Low-Rank Representation. ACCV (1) 2016: 416-431 - 2014
- [j3]Kewei Tang, Risheng Liu, Zhixun Su, Jie Zhang:
Structure-Constrained Low-Rank Representation. IEEE Trans. Neural Networks Learn. Syst. 25(12): 2167-2179 (2014) - 2013
- [j2]Risheng Liu, Zhouchen Lin, Wei Zhang, Kewei Tang, Zhixun Su:
Toward designing intelligent PDEs for computer vision: An optimal control approach. Image Vis. Comput. 31(1): 43-56 (2013) - 2011
- [i1]Risheng Liu, Zhouchen Lin, Wei Zhang, Kewei Tang, Zhixun Su:
Toward Designing Intelligent PDEs for Computer Vision: An Optimal Control Approach. CoRR abs/1109.1057 (2011) - 2010
- [j1]Risheng Liu, Zhouchen Lin, Zhixun Su, Kewei Tang:
Feature extraction by learning Lorentzian metric tensor and its extensions. Pattern Recognit. 43(10): 3298-3306 (2010)
Coauthor Index
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