Liangjun Yu

According to our database, Liangjun Yu authored at least 11 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Hybrid modeling of structure extension and instance weighting for naive Bayes.

Liangjun Yu, Di Wang, Xian Zhou, Xiaomin Wu

J. Intell. Syst., 2025

Instance Correlation Graph-based Naive Bayes.

Chengyuan Li, Liangxiao Jiang, Wenjun Zhang, Liangjun Yu, Huan Zhang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Bridging the One-to-Many Gap: Multi-label Semantic Learning and Relay for Video Captioning.

Shuqin Chen, Yikang Hu, Li Yang, Zhixin Sun, Liangjun Yu, Xian Zhong

Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

2021

Attribute and instance weighted naive Bayes.

Huan Zhang, Liangxiao Jiang, Liangjun Yu

Pattern Recognit., 2021

2020

Class-specific attribute value weighting for Naive Bayes.

Huan Zhang, Liangxiao Jiang, Liangjun Yu

Inf. Sci., 2020

Correlation-Based Weight Adjusted Naive Bayes.

Liangjun Yu, Shengfeng Gan, Yu Chen, Meizhang He

IEEE Access, 2020

2019

Class-specific attribute weighted naive Bayes.

Liangxiao Jiang, Lungan Zhang, Liangjun Yu, Dianhong Wang

Pattern Recognit., 2019

Toward naive Bayes with attribute value weighting.

Liangjun Yu, Liangxiao Jiang, Dianhong Wang, Lungan Zhang

Neural Comput. Appl., 2019

An attribute value frequency-based instance weighting filter for naive Bayes.

Wenqiang Xu, Liangxiao Jiang, Liangjun Yu

J. Exp. Theor. Artif. Intell., 2019

2018

Weight Adjusted Naive Bayes.

Liangjun Yu, Liangxiao Jiang, Lungan Zhang, Dianhong Wang

Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

2017

Attribute Value Weighted Average of One-Dependence Estimators.

Liangjun Yu, Liangxiao Jiang, Dianhong Wang, Lungan Zhang

Entropy, 2017