A parameter-free label propagation algorithm for person identification in stereo videos. - Chongsheng Zhang; Jingjun Bi; Changchang Liu; Ke Chen 004 (Neurocomputing, 2016)

Feature selection and resampling in class imbalance learning: Which comes first? An empirical study in the biological domain. - Chongsheng Zhang; Jingjun Bi; Paolo Soda (BIBM, 2017)

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)

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)

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)

A Comprehensive Deep Semi-supervised Graph Learning Approach Incorporating Node Re-weighting and Manifold Regularization. - Jingjun Bi; Fadi Dornaika (AAIA, 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, 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 001 (Appl. Intell., 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 001 (Appl. Intell., 2023)

Sample-weighted fused graph-based semi-supervised learning on multi-view data. - Jingjun Bi; Fadi Dornaika (Inf. Fusion, 2024)

Metric learning-enhanced semi-supervised Graph Convolutional Network for multi-view learning. - Huaiyuan Xiao; Fadi Dornaika; Jinan Charafeddine; Jingjun Bi (Inf. Fusion, 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)

Leveraging Graph Convolutional Networks for Semi-supervised Learning in Multi-view Non-graph Data. - Fadi Dornaika; Jingjun Bi; Jinan Charafeddine (Cogn. Comput., 2025)

Linear projection fused graph-based semi-supervised learning on multi-view data. - Jingjun Bi; Fadi Dornaika; Jinan Charafeddine (Artif. Intell. Rev., 2025)