Lei Guo

According to our database, Lei Guo authored at least 10 papers between 2021 and 2024.

Collaborative distances:

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

2024

Label Distribution Learning Based on Horizontal and Vertical Mining of Label Correlations.

Yaojin Lin, Yulin Li, Chenxi Wang, Lei Guo, Jinkun Chen

IEEE Trans. Big Data, June, 2024

Multi-Label Feature Selection via Positive or Negative Correlation.

Yaojin Lin, Zhuoxin He, Lei Guo, Weiping Ding

IEEE Trans. Emerg. Top. Comput. Intell., February, 2024

Online hierarchical streaming feature selection based on adaptive neighborhood rough set.

Tongxin Shu, Yaojin Lin, Lei Guo

Appl. Soft Comput., 2024

2023

Multi-label feature selection based on correlation label enhancement.

Zhuoxin He, Yaojin Lin, Chenxi Wang, Lei Guo, Weiping Ding

Inf. Sci., November, 2023

Semantic-gap-oriented feature selection in hierarchical classification learning.

Haoyang Liu, Yaojin Lin, Chenxi Wang, Lei Guo, Jinkun Chen

Inf. Sci., 2023

Online feature selection for hierarchical classification learning based on improved ReliefF.

Chenxi Wang, Mengli Ren, Chen E, Lei Guo, Xiehua Yu, Yaojin Lin, Shaozi Li

Concurr. Comput. Pract. Exp., 2023

Multi-label feature selection based on relative entropy and fuzzy neighborhood mutual discrimination index.

Chenxi Wang, Chen E, Mengli Ren, Lei Guo, Xiehua Yu, Yaojin Lin, Shaozi Li

Concurr. Comput. Pract. Exp., 2023

Label distribution learning with high-order label correlations.

Yulin Li, Yaojin Lin, Xiehua Yu, Lei Guo, Shaozi Li

Concurr. Comput. Pract. Exp., 2023

2022

Hierarchical community-discovery algorithm combining core nodes and three-order structure model.

Lei Guo, Sheng Yang, Shaozi Li, Qingshou Wu

Concurr. Comput. Pract. Exp., 2022

2021

Recommendation algorithm based on community structure and user trust.

Lei Guo, Sheng Yang, Shaozi Li, Qingshou Wu, Wensen Yu

Concurr. Comput. Pract. Exp., 2021