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Jingjun Bi

Observed names: Bi Jingjun, Bi, Jingjun, J. Bi
ORCID: 0000-0003-3802-7690
Observed ORCID: 0000-0003-3802-7690
OpenAlex ID: A5041086930
An empirical comparison on state-of-the-art multi-class imbalance learning algorithms and a new diversified ensemble learning scheme
2018 · Jingjun Bi, Chongsheng Zhang · Knowledge-Based Systems · 198
Multi-Imbalance: An open-source software for multi-class imbalance learning
2019 · Chongsheng Zhang, Jingjun Bi, et al. · Knowledge-Based Systems · 166
An empirical study on the joint impact of feature selection and data resampling on imbalance classification
2022 · Chongsheng Zhang, Paolo Soda, et al. · Applied Intelligence · 42
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Sample-weighted fused graph-based semi-supervised learning on multi-view data
2023 · Jingjun Bi, Fadi Dornaika · Information Fusion · 30
Semi-supervised learning for multi-view and non-graph data using Graph Convolutional Networks
2025 · F. Dornaika, J. Bi, et al. · Neural Networks · 21
Feature selection and resampling in class imbalance learning: Which comes first? An empirical study in the biological domain
2017 · Chongsheng Zhang, Jingjun Bi, et al. · IEEE International Conference on Bioinformatics and Biomedicine (BIBM) · 21
A unified deep semi-supervised graph learning scheme based on nodes re-weighting and manifold regularization
2022 · Fadi Dornaika, Jingjun Bi, et al. · Neural Networks · 16
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Metric learning-enhanced semi-supervised Graph Convolutional Network for multi-view learning
2025 · Huaiyuan Xiao, Fadi Dornaika, et al. · Information Fusion · 10
Correction to: An empirical study on the joint impact of feature selection and data resampling on imbalance classification
2022 · Chongsheng Zhang, Paolo Soda, et al. · Applied Intelligence · 10
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Linear projection fused graph-based semi-supervised learning on multi-view data
2025 · Jingjun Bi, Fadi Dornaika, et al. · Artificial Intelligence Review · 6
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Structural propagation dual-prototype refinement network for few-shot 3D point cloud segmentation
2026 · Qingzheng Wang, Jiazhi Xie, et al. · Information Sciences · 2
MCFCN: Multi-View Clustering via a Fusion-Consensus Graph Convolutional Network
2025 · Pei, Chenping, Dornaika, Fadi, et al. · arXiv (Cornell University) · 2
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A Re-Node self-training approach for deep graph-based semi-supervised classification on multi-view image data
2025 · Jingjun Bi, Fadi Dornaika, et al. · Information Fusion · 1
Weighted Graph Convolution Network for Multi-view Semi-supervised Classification
2024 · Jingjun Bi, Fadi Dornaika · Lecture notes on data engineering and communications technologies · 1
A parameter-free label propagation algorithm for person identification in stereo videos
2016 · Chongsheng Zhang, Jingjun Bi, et al. · Neurocomputing · 1
Multi-View Contrastive Graph Convolutional Networks with Adaptive Fusion for Semi-Supervised Classification
2026 · Huaiyuan Xiao, Fadi Dornaika, et al. · Pattern Recognition
Self-taught graph-based semi-supervised learning for multi-view image data
2026 · J. Bi, F. Dornaika, et al. · Pattern Recognition
A Comprehensive Deep Semi-supervised Graph Learning Approach Incorporating Node Re-weighting and Manifold Regularization
2023 · Jingjun Bi, Fadi Dornaika · International Conference on Advances in Artificial Intelligence and Applications (AAIA)
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ステレオビデオにおける人物同定のためのパラメータを含まないラベル伝搬アルゴリズム【Powered by NICT】
2016 · Zhang Chongsheng, Bi Jingjun, et al. · Neurocomputing
Works count: 19
Citation count: 527
H-index: 9
I10-index: 9
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