Jingjun Bi

According to our database, Jingjun Bi authored at least 14 papers between 2016 and 2025.

Collaborative distances:

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

2025

Linear projection fused graph-based semi-supervised learning on multi-view data.

Jingjun Bi, Fadi Dornaika, Jinan Charafeddine

Artif. Intell. Rev., October, 2025

Leveraging Graph Convolutional Networks for Semi-supervised Learning in Multi-view Non-graph Data.

Fadi Dornaika, Jingjun Bi, Jinan Charafeddine

Cogn. Comput., April, 2025

Semi-supervised learning for multi-view and non-graph data using Graph Convolutional Networks.

Fadi Dornaika, Jingjun Bi, Jinan Charafeddine, H. Xiao

Neural Networks, 2025

Metric learning-enhanced semi-supervised Graph Convolutional Network for multi-view learning.

Huaiyuan Xiao, Fadi Dornaika, Jinan Charafeddine, Jingjun Bi

Inf. Fusion, 2025

2024

Sample-weighted fused graph-based semi-supervised learning on multi-view data.

Jingjun Bi, Fadi Dornaika

Inf. Fusion, April, 2024

2023

Correction to: An empirical study on the joint impact of feature selection and data resampling on imbalance classification.

Chongsheng Zhang, Paolo Soda, Jingjun Bi, Gaojuan Fan, George Almpanidis, Salvador García, Weiping Ding

Appl. Intell., April, 2023

An empirical study on the joint impact of feature selection and data resampling on imbalance classification.

Chongsheng Zhang, Paolo Soda, Jingjun Bi, Gaojuan Fan, George Almpanidis, Salvador García, Weiping Ding

Appl. Intell., March, 2023

A unified deep semi-supervised graph learning scheme based on nodes re-weighting and manifold regularization.

Fadi Dornaika, Jingjun Bi, Chongsheng Zhang

Neural Networks, January, 2023

A Comprehensive Deep Semi-supervised Graph Learning Approach Incorporating Node Re-weighting and Manifold Regularization.

Jingjun Bi, Fadi Dornaika

Proceedings of the 2023 International Conference on Advances in Artificial Intelligence and Applications, 2023

2021

An Empirical Study on the Joint Impact of Feature Selection and Data Re-sampling on Imbalance Classification.

Chongsheng Zhang, Paolo Soda, Jingjun Bi, Gaojuan Fan, George Almpanidis, Salvador Garcia

CoRR, 2021

2019

Multi-Imbalance: An open-source software for multi-class imbalance learning.

Chongsheng Zhang, Jingjun Bi, Shixin Xu, Enislay Ramentol, Gaojuan Fan, Baojun Qiao, Hamido Fujita

Knowl. Based Syst., 2019

2018

An empirical comparison on state-of-the-art multi-class imbalance learning algorithms and a new diversified ensemble learning scheme.

Jingjun Bi, Chongsheng Zhang

Knowl. Based Syst., 2018

2017

Feature selection and resampling in class imbalance learning: Which comes first? An empirical study in the biological domain.

Chongsheng Zhang, Jingjun Bi, Paolo Soda

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016

A parameter-free label propagation algorithm for person identification in stereo videos.

Chongsheng Zhang, Jingjun Bi, Changchang Liu, Ke Chen

Neurocomputing, 2016