Lai Wei

Orcid: 0000-0002-6116-1671

Affiliations:
  • Shanghai Maritime University, College of Information Engineering, China
  • Tongji University, Department of Computer Science and Technology, Shanghai, China (PhD 2009)


According to our database1, Lai Wei authored at least 41 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Cost-sensitive sparse subset selection.
Int. J. Mach. Learn. Cybern., April, 2024

Learning Idempotent Representation for Subspace Clustering.
IEEE Trans. Knowl. Data Eng., March, 2024

2023
A simple multiple-fold correlation-based multi-view multi-label learning.
Neural Comput. Appl., May, 2023

Latent block diagonal representation for subspace clustering.
Pattern Anal. Appl., February, 2023

Adaptive Graph Convolutional Subspace Clustering.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Subspace Clustering via Structured Sparse Relation Representation.
IEEE Trans. Neural Networks Learn. Syst., 2022

Weak-label-based global and local multi-view multi-label learning with three-way clustering.
Int. J. Mach. Learn. Cybern., 2022

Subspace clustering via adaptive least square regression with smooth affinities.
Knowl. Based Syst., 2022

Learning idempotent representation for subspace clustering.
CoRR, 2022

2021
Evidential Reasoning With Hesitant Fuzzy Belief Structures for Human Activity Recognition.
IEEE Trans. Fuzzy Syst., 2021

2020
Weight-and-Universum-based semi-supervised multi-view learning machine.
Soft Comput., 2020

A new multi-view learning machine with incomplete data.
Pattern Anal. Appl., 2020

Adaptive graph-regularized fixed rank representation for subspace segmentation.
Pattern Anal. Appl., 2020

Robust Subspace Clustering via Latent Smooth Representation Clustering.
Neural Process. Lett., 2020

Global and local multi-view multi-label learning with incomplete views and labels.
Neural Comput. Appl., 2020

Global and local multi-view multi-label learning.
Neurocomputing, 2020

2019
An Improved Structured Low-Rank Representation for Disjoint Subspace Segmentation.
Neural Process. Lett., 2019

Semi-supervised one-pass multi-view learning.
Neural Comput. Appl., 2019

Latent graph-regularized inductive robust principal component analysis.
Knowl. Based Syst., 2019

Subspace segmentation via self-regularized latent <i>K</i>-means.
Expert Syst. Appl., 2019

Robust Subspace Segmentation via Sparse Relation Representation.
Proceedings of the Pattern Recognition and Computer Vision - Second Chinese Conference, 2019

Improved Multi-view Multi-label Learning with Incomplete Views and Labels.
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

2018
Similarity analysis between quantum images.
Quantum Inf. Process., 2018

Robust Subspace Segmentation by Self-Representation Constrained Low-Rank Representation.
Neural Process. Lett., 2018

Local sparsity preserving projection and its application to biometric recognition.
Multim. Tools Appl., 2018

2017
Self-regularized fixed-rank representation for subspace segmentation.
Inf. Sci., 2017

2016
Optimized projection for Collaborative Representation based Classification and its applications to face recognition.
Pattern Recognit. Lett., 2016

Optimal feature extraction methods for classification methods and their applications to biometric recognition.
Knowl. Based Syst., 2016

Spectral clustering steered low-rank representation for subspace segmentation.
J. Vis. Commun. Image Represent., 2016

2015
Latent space robust subspace segmentation based on low-rank and locality constraints.
Expert Syst. Appl., 2015

2014
Kernel locality-constrained collaborative representation based discriminant analysis.
Knowl. Based Syst., 2014

Weighted discriminative sparsity preserving embedding for face recognition.
Knowl. Based Syst., 2014

Optimal Subspace Learning for Sparse Representation Based Classifier via Discriminative Principal Subspaces Alignment.
Proceedings of the Rough Sets and Knowledge Technology - 9th International Conference, 2014

2012
Local CCA alignment and its applications.
Neurocomputing, 2012

Adaptively weighted subpattern-based sparse preserving projection for face recognition.
Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012

2011
An Efficient Fuzzy Rough Approach for Feature Selection.
Proceedings of the Rough Sets and Knowledge Technology - 6th International Conference, 2011

Adaptively Weighted Subpattern-Based Isometric Projection for Face Recognition.
Proceedings of the Artificial Intelligence and Computational Intelligence, 2011

2009
Fuzzy-rough attribute reduction via mutual information with an application to cancer classification.
Comput. Math. Appl., 2009

Analyzing skill sets with or-relation tables in knowledge spaces.
Proceedings of the 8th IEEE International Conference on Cognitive Informatics, 2009

2007
An Approach for Fuzzy-Rough Sets Attributes Reduction via Mutual Information.
Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007

2006
Application of Granular Computing in Knowledge Reduction.
Proceedings of the Rough Sets and Knowledge Technology, First International Conference, 2006


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