Lai Wei

According to our database, Lai Wei authored at least 46 papers between 2006 and 2024.

Collaborative distances:

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

2024

Cost-sensitive sparse subset selection.

Lai Wei, Shiteng Liu

Int. J. Mach. Learn. Cybern., April, 2024

Learning Idempotent Representation for Subspace Clustering.

Lai Wei, Shiteng Liu, Rigui Zhou, Changming Zhu, Jin Liu

IEEE Trans. Knowl. Data Eng., March, 2024

Exploiting Discriminating Features for Fine-Grained Ship Detection in Optical Remote Sensing Images.

Ying Liu, Jin Liu, Xingye Li, Lai Wei, Zhongdai Wu, Bing Han, Wenjuan Dai

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

DCEA: DETR With Concentrated Deformable Attention for End-to-End Ship Detection in SAR Images.

Hai Lin, Jin Liu, Xingye Li, Lai Wei, Yuxin Liu, Bing Han, Zhongdai Wu

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Subspace Clustering with A Hybrid Adaptive Graph Filter.

Lai Wei, Mingyuan Xi

Proceedings of the 2024 International Conference on Multimedia Retrieval, 2024

Multi-view Subspace Clustering via An Adaptive Consensus Graph Filter.

Lai Wei, Shanshan Song

Proceedings of the 2024 International Conference on Multimedia Retrieval, 2024

Discriminatively Fuzzy Multi-View K-means Clustering with Local Structure Preserving.

Jun Yin, Shiliang Sun, Lai Wei, Pei Wang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

A simple multiple-fold correlation-based multi-view multi-label learning.

Changming Zhu, Jiyun Zhao, Shizhe Hu, Yilin Dong, Lei Cao, Fan Zhou, Yuhu Shi, Lai Wei, Rigui Zhou

Neural Comput. Appl., May, 2023

Latent block diagonal representation for subspace clustering.

Jie Guo, Lai Wei

Pattern Anal. Appl., February, 2023

Adaptive Graph Convolutional Subspace Clustering.

Lai Wei, Zhengwei Chen, Jun Yin, Changming Zhu, Rigui Zhou, Jin Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Subspace Clustering via Structured Sparse Relation Representation.

Lai Wei, Fenfen Ji, Hao Liu, Rigui Zhou, Changming Zhu, Xiafen Zhang

IEEE Trans. Neural Networks Learn. Syst., 2022

Weak-label-based global and local multi-view multi-label learning with three-way clustering.

Changming Zhu, Dujuan Cao, Shuaiping Guo, Rigui Zhou, Lai Wei, Yilin Dong, Duoqian Miao

Int. J. Mach. Learn. Cybern., 2022

Subspace clustering via adaptive least square regression with smooth affinities.

Lai Wei, Fanfan Zhang, Zhengwei Chen, Rigui Zhou, Changming Zhu

Knowl. Based Syst., 2022

Learning idempotent representation for subspace clustering.

Lai Wei, Shiteng Liu, Rigui Zhou, Changming Zhu

CoRR, 2022

2021

Evidential Reasoning With Hesitant Fuzzy Belief Structures for Human Activity Recognition.

Yilin Dong, Xinde Li, Jean Dezert, Rigui Zhou, Changming Zhu, Lai Wei, Shuzhi Sam Ge

IEEE Trans. Fuzzy Syst., 2021

2020

Weight-and-Universum-based semi-supervised multi-view learning machine.

Changming Zhu, Duoqian Miao, Rigui Zhou, Lai Wei

Soft Comput., 2020

A new multi-view learning machine with incomplete data.

Changming Zhu, Chao Chen, Rigui Zhou, Lai Wei, Xiafen Zhang

Pattern Anal. Appl., 2020

Adaptive graph-regularized fixed rank representation for subspace segmentation.

Lai Wei, Rigui Zhou, Changming Zhu, Xiafen Zhang, Jun Yin

Pattern Anal. Appl., 2020

Robust Subspace Clustering via Latent Smooth Representation Clustering.

Xiaobo Xiao, Lai Wei

Neural Process. Lett., 2020

Global and local multi-view multi-label learning with incomplete views and labels.

Changming Zhu, Panhong Wang, Lin Ma, Rigui Zhou, Lai Wei

Neural Comput. Appl., 2020

Global and local multi-view multi-label learning.

Changming Zhu, Duoqian Miao, Zhe Wang, Rigui Zhou, Lai Wei, Xiafen Zhang

Neurocomputing, 2020

2019

An Improved Structured Low-Rank Representation for Disjoint Subspace Segmentation.

Lai Wei, Yan Zhang, Jun Yin, Rigui Zhou, Changming Zhu, Xiafeng Zhang

Neural Process. Lett., 2019

Semi-supervised one-pass multi-view learning.

Changming Zhu, Zhe Wang, Rigui Zhou, Lai Wei, Xiafen Zhang, Yi Ding

Neural Comput. Appl., 2019

Latent graph-regularized inductive robust principal component analysis.

Lai Wei, Rigui Zhou, Jun Yin, Changming Zhu, Xiafen Zhang, Hao Liu

Knowl. Based Syst., 2019

Subspace segmentation via self-regularized latent <i>K</i>-means.

Lai Wei, Rigui Zhou, Xiaofeng Wang, Changming Zhu, Jun Yin, Xiafen Zhang

Expert Syst. Appl., 2019

Robust Subspace Segmentation via Sparse Relation Representation.

Lai Wei, Hao Liu

Proceedings of the Pattern Recognition and Computer Vision - Second Chinese Conference, 2019

Improved Multi-view Multi-label Learning with Incomplete Views and Labels.

Changming Zhu, Duoqian Miao, Rigui Zhou, Lai Wei

Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

2018

Similarity analysis between quantum images.

Ri-Gui Zhou, XingAo Liu, Changming Zhu, Lai Wei, Xiafen Zhang, Hou Ian

Quantum Inf. Process., 2018

Robust Subspace Segmentation by Self-Representation Constrained Low-Rank Representation.

Lai Wei, Xiaofeng Wang, Aihua Wu, Rigui Zhou, Changming Zhu

Neural Process. Lett., 2018

Local sparsity preserving projection and its application to biometric recognition.

Jun Yin, Zhihui Lai, Weiming Zeng, Lai Wei

Multim. Tools Appl., 2018

2017

Self-regularized fixed-rank representation for subspace segmentation.

Lai Wei, Xiaofeng Wang, Jun Yin, Aihua Wu

Inf. Sci., 2017

2016

Optimized projection for Collaborative Representation based Classification and its applications to face recognition.

Jun Yin, Lai Wei, Miao Song, Weiming Zeng

Pattern Recognit. Lett., 2016

Optimal feature extraction methods for classification methods and their applications to biometric recognition.

Jun Yin, Weiming Zeng, Lai Wei

Knowl. Based Syst., 2016

Spectral clustering steered low-rank representation for subspace segmentation.

Lai Wei, Xiaofeng Wang, Jun Yin, Aihua Wu

J. Vis. Commun. Image Represent., 2016

2015

Latent space robust subspace segmentation based on low-rank and locality constraints.

Lai Wei, Aihua Wu, Jun Yin

Expert Syst. Appl., 2015

2014

Kernel locality-constrained collaborative representation based discriminant analysis.

Lai Wei, Feifei Xu, Jun Yin, Aihua Wu

Knowl. Based Syst., 2014

Weighted discriminative sparsity preserving embedding for face recognition.

Lai Wei, Feifei Xu, Aihua Wu

Knowl. Based Syst., 2014

Optimal Subspace Learning for Sparse Representation Based Classifier via Discriminative Principal Subspaces Alignment.

Lai Wei

Proceedings of the Rough Sets and Knowledge Technology - 9th International Conference, 2014

2012

Local CCA alignment and its applications.

Lai Wei, Feifei Xu

Neurocomputing, 2012

Adaptively weighted subpattern-based sparse preserving projection for face recognition.

Lai Wei, Feifei Xu

Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012

2011

An Efficient Fuzzy Rough Approach for Feature Selection.

Feifei Xu, Weiguo Pan, Lai Wei, Haizhou Du

Proceedings of the Rough Sets and Knowledge Technology - 6th International Conference, 2011

Adaptively Weighted Subpattern-Based Isometric Projection for Face Recognition.

Lai Wei, Weiming Zeng, Feifei Xu

Proceedings of the Artificial Intelligence and Computational Intelligence, 2011

2009

Fuzzy-rough attribute reduction via mutual information with an application to cancer classification.

Feifei Xu, Duoqian Miao, Lai Wei

Comput. Math. Appl., 2009

Analyzing skill sets with or-relation tables in knowledge spaces.

Feifei Xu, Duoqian Miao, Yiyu Yao, Lai Wei

Proceedings of the 8th IEEE International Conference on Cognitive Informatics, 2009

2007

An Approach for Fuzzy-Rough Sets Attributes Reduction via Mutual Information.

Feifei Xu, Duoqian Miao, Lai Wei

Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007

2006

Application of Granular Computing in Knowledge Reduction.

Lai Wei, Duoqian Miao

Proceedings of the Rough Sets and Knowledge Technology, First International Conference, 2006