Leijun Li

According to our database, Leijun Li authored at least 22 papers between 2012 and 2025.

Collaborative distances:

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

2025

Three-Way clustering based on fuzzy centroids in incomplete information systems with categorical data.

Zhao Li, Yu-Zhang Bai, Leijun Li, Ju-Sheng Mi

Knowl. Based Syst., 2025

2024

A real-time and lightweight driver fatigue detection model using anchor-free and visual-attention mechanisms.

Ji Wang, Baoming Li, Zhaoye Li, Peiquan Xu, Leijun Li

Appl. Intell., October, 2024

Enhanced Path Planning and Obstacle Avoidance Based on High-Precision Mapping and Positioning.

Feng Zhang, Leijun Li, Peiquan Xu, Pengyu Zhang

Sensors, May, 2024

Granular structure evaluation and selection based on justifiable granularity principle.

Leijun Li, Meizheng Li, Ju-Sheng Mi

Inf. Sci., 2024

Information granule optimization and co-training based on kernel method.

Yuzhang Bai, Jusheng Mi, Leijun Li

Appl. Soft Comput., 2024

The Connections Between the Approximate Three-Way Concept Lattice and the Three-Way Approximate Concept Lattice.

Meizheng Li, Leijun Li, Ju-Sheng Mi

Proceedings of the Rough Sets - International Joint Conference, 2024

2023

Visual Sensing and Depth Perception for Welding Robots and Their Industrial Applications.

Ji Wang, Leijun Li, Peiquan Xu

Sensors, December, 2023

Knowledge acquisition of multi-granularity ordered information systems.

Zhiyong Hu, Mingwen Shao, Weizhi Wu, Leijun Li

Appl. Soft Comput., October, 2023

DAssd-Net: A Lightweight Steel Surface Defect Detection Model Based on Multi-Branch Dilated Convolution Aggregation and Multi-Domain Perception Detection Head.

Ji Wang, Peiquan Xu, Leijun Li, Feng Zhang

Sensors, 2023

2021

Prediction confidence-based dynamic selection and weighted integration.

Leijun Li, Meizheng Li, Ju-Sheng Mi, Bin Xie

Concurr. Comput. Pract. Exp., 2021

2020

Dynamic granularity selection based on local weighted accuracy and local likelihood ratio.

Leijun Li, Meizheng Li, Ju-Sheng Mi, Bin Xie

Appl. Soft Comput., 2020

2019

A simple discernibility matrix for attribute reduction in formal concept analysis based on granular concepts.

Leijun Li, Meizheng Li, Ju-Sheng Mi, Bin Xie

J. Intell. Fuzzy Syst., 2019

2018

概念格中基于粗糙熵的属性约简方法 (Rough Entropy Based Algorithm for Attribute Reduction in Concept Lattice).

Meizheng Li, Leijun Li, Jusheng Mi, Bin Xie

计算机科学, 2018

2016

A novel approach for ranking in interval-valued information systems.

Bin Xie, Leijun Li, Ju-Sheng Mi

J. Intell. Fuzzy Syst., 2016

On the use of cut set for attribute reduction in L-fuzzy concept lattice.

Leijun Li, Bin Xie, Ju-Sheng Mi, Meizheng Li

Proceedings of the International Conference on Machine Learning and Cybernetics, 2016

2014

Exploration of classification confidence in ensemble learning.

Leijun Li, Qinghua Hu, Xiangqian Wu, Daren Yu

Pattern Recognit., 2014

Exploiting diversity for optimizing margin distribution in ensemble learning.

Qinghua Hu, Leijun Li, Xiangqian Wu, Gerald Schaefer, Daren Yu

Knowl. Based Syst., 2014

Attribute reduction based on maximal rules in decision formal context.

Leijun Li, Ju-Sheng Mi, Bin Xie

Int. J. Comput. Intell. Syst., 2014

2013

Exploring Neighborhood Structures with Neighborhood Rough Sets in Classification Learning.

Qinghua Hu, Leijun Li, Pengfei Zhu

Proceedings of the Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam, 2013

Dynamic classifier ensemble using classification confidence.

Leijun Li, Bo Zou, Qinghua Hu, Xiangqian Wu, Daren Yu

Neurocomputing, 2013

Exploring Margin for Dynamic Ensemble Selection.

Leijun Li, Qinghua Hu, Xiangqian Wu, Daren Yu

Proceedings of the Rough Sets and Knowledge Technology - 8th International Conference, 2013

2012

Fault diagnosis based on pruned ensemble.

Jian Sun, Leijun Li, Qinghua Hu

Proceedings of the International Conference on Machine Learning and Cybernetics, 2012