Fault diagnosis based on pruned ensemble. - Jian Sun; Leijun Li; Qinghua Hu (ICMLC, 2012)

Exploring Margin for Dynamic Ensemble Selection. - Leijun Li; Qinghua Hu; Xiangqian Wu 002; Daren Yu (RSKT, 2013)

Dynamic classifier ensemble using classification confidence. - Leijun Li; Bo Zou 001; Qinghua Hu; Xiangqian Wu 002; Daren Yu (Neurocomputing, 2013)

Exploring Neighborhood Structures with Neighborhood Rough Sets in Classification Learning. - Qinghua Hu; Leijun Li; Pengfei Zhu 001 (Rough Sets and Intelligent Systems (1), 2013)

Attribute reduction based on maximal rules in decision formal context. - Leijun Li; Ju-Sheng Mi; Bin Xie 003 (Int. J. Comput. Intell. Syst., 2014)

Exploiting diversity for optimizing margin distribution in ensemble learning. - Qinghua Hu; Leijun Li; Xiangqian Wu 002; Gerald Schaefer; Daren Yu (Knowl. Based Syst., 2014)

Exploration of classification confidence in ensemble learning. - Leijun Li; Qinghua Hu; Xiangqian Wu 002; Daren Yu (Pattern Recognit., 2014)

On the use of cut set for attribute reduction in L-fuzzy concept lattice. - Leijun Li; Bin Xie 003; Ju-Sheng Mi; Meizheng Li (ICMLC, 2016)

A novel approach for ranking in interval-valued information systems. - Bin Xie 003; Leijun Li; Ju-Sheng Mi (J. Intell. Fuzzy Syst., 2016)

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 003 (计算机科学, 2018)

A simple discernibility matrix for attribute reduction in formal concept analysis based on granular concepts. - Leijun Li; Meizheng Li; Ju-Sheng Mi; Bin Xie 003 (J. Intell. Fuzzy Syst., 2019)

Dynamic granularity selection based on local weighted accuracy and local likelihood ratio. - Leijun Li; Meizheng Li; Ju-Sheng Mi; Bin Xie 003 (Appl. Soft Comput., 2020)

Prediction confidence-based dynamic selection and weighted integration. - Leijun Li; Meizheng Li; Ju-Sheng Mi; Bin Xie 003 (Concurr. Comput. Pract. Exp., 2021)

DAssd-Net: A Lightweight Steel Surface Defect Detection Model Based on Multi-Branch Dilated Convolution Aggregation and Multi-Domain Perception Detection Head. - Ji Wang 007; Peiquan Xu; Leijun Li; Feng Zhang (Sensors, 2023)

Knowledge acquisition of multi-granularity ordered information systems. - Zhiyong Hu; Mingwen Shao; Weizhi Wu 001; Leijun Li (Appl. Soft Comput., 2023)

Visual Sensing and Depth Perception for Welding Robots and Their Industrial Applications. - Ji Wang 007; Leijun Li; Peiquan Xu (Sensors, 2023)

The Connections Between the Approximate Three-Way Concept Lattice and the Three-Way Approximate Concept Lattice. - Meizheng Li; Leijun Li; Ju-Sheng Mi (IJCRS (2), 2024)

Information granule optimization and co-training based on kernel method. - Yuzhang Bai; Jusheng Mi; Leijun Li (Appl. Soft Comput., 2024)

Granular structure evaluation and selection based on justifiable granularity principle. - Leijun Li; Meizheng Li; Ju-Sheng Mi (Inf. Sci., 2024)

Enhanced Path Planning and Obstacle Avoidance Based on High-Precision Mapping and Positioning. - Feng Zhang; Leijun Li; Peiquan Xu; Pengyu Zhang (Sensors, 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., 2024)