Dewei Li

Orcid: 0000-0002-8209-2185

Affiliations:
  • Chinese Academy of Sciences, Research Center on Fictitious Economy and Data Science, Beijing, China


According to our database1, Dewei Li authored at least 19 papers between 2013 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Real-time semantic segmentation for underground mine tunnel.
Eng. Appl. Artif. Intell., 2024

2022
Image classification with multi-view multi-instance metric learning.
Expert Syst. Appl., 2022

2019
LINEX Support Vector Machine for Large-Scale Classification.
IEEE Access, 2019

2018
Large-scale linear nonparallel SVMs.
Soft Comput., 2018

Improved multi-view privileged support vector machine.
Neural Networks, 2018

Survey and experimental study on metric learning methods.
Neural Networks, 2018

Improved least squares support vector machine based on metric learning.
Neural Comput. Appl., 2018

Multi-view learning based on nonparallel support vector machine.
Knowl. Based Syst., 2018

2017
SALE: Self-adaptive LSH encoding for multi-instance learning.
Pattern Recognit., 2017

Global and local metric learning via eigenvectors.
Knowl. Based Syst., 2017

Stochastic gradient descent for large-scale linear nonparallel SVM.
Proceedings of the International Conference on Web Intelligence, 2017

Metric learning for multi-instance classification with collapsed bags.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Multi-view deep metric learning for image classification.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2016
Multi-view metric learning for multi-instance image classification.
CoRR, 2016

Incorporate Hashing with Multi-view Learning.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

2015
Twin support vector machine in linear programs.
J. Comput. Sci., 2015

2014
Deep Twin Support Vector Machine.
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

2013
Knowledge-based Support Vector Classification Based on C-SVC.
Proceedings of the First International Conference on Information Technology and Quantitative Management, 2013

The Support Vector Regression with Adaptive Norms.
Proceedings of the International Conference on Computational Science, 2013


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