Jingjun Bi - RankMe

19 papers Journal 17Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Re-Node self-training approach for deep graph-based semi-supervised classification on multi-view image data. Inf. Fusion Jingjun Bi, Fadi Dornaika, Jinan Charafeddine
2026	J	`jnl`	Structural propagation dual-prototype refinement network for few-shot 3D point cloud segmentation. Inf. Sci. Qingzheng Wang, Jiazhi Xie, Ning Li, Jingjun Bi, Zengwei Mai, Wenhui Liu, Xingqin Wang
2025	J	`jnl`	A Re-node Self-training Approach for Deep Graph-based Semi-supervised Classification on Multi-view Image Data. CoRR Jingjun Bi, Fadi Dornaika
2025	J	`jnl`	Enhancing Semi-Supervised Multi-View Graph Convolutional Networks via Supervised Contrastive Learning and Self-Training. CoRR Huaiyuan Xiao, Fadi Dornaika, Jingjun Bi
2025	J	`jnl`	Leveraging Graph Convolutional Networks for Semi-supervised Learning in Multi-view Non-graph Data. Cogn. Comput. Fadi Dornaika, Jingjun Bi, Jinan Charafeddine
2025	J	`jnl`	Linear projection fused graph-based semi-supervised learning on multi-view data. Artif. Intell. Rev. Jingjun Bi, Fadi Dornaika, Jinan Charafeddine
2025	J	`jnl`	MCFCN: Multi-View Clustering via a Fusion-Consensus Graph Convolutional Network. CoRR Chenping Pei, Fadi Dornaika, Jingjun Bi
2025	J	`jnl`	Metric learning-enhanced semi-supervised Graph Convolutional Network for multi-view learning. Inf. Fusion Huaiyuan Xiao, Fadi Dornaika, Jinan Charafeddine, Jingjun Bi
2025	J	`jnl`	Semi-supervised learning for multi-view and non-graph data using Graph Convolutional Networks. Neural Networks Fadi Dornaika, Jingjun Bi, Jinan Charafeddine, Huaiyuan Xiao
2024	J	`jnl`	Sample-weighted fused graph-based semi-supervised learning on multi-view data. Inf. Fusion Jingjun Bi, Fadi Dornaika
2023	—	`conf`	A Comprehensive Deep Semi-supervised Graph Learning Approach Incorporating Node Re-weighting and Manifold Regularization. AAIA Jingjun Bi, Fadi Dornaika
2023	J	`jnl`	A unified deep semi-supervised graph learning scheme based on nodes re-weighting and manifold regularization. Neural Networks Fadi Dornaika, Jingjun Bi, Chongsheng Zhang
2023	J	`jnl`	An empirical study on the joint impact of feature selection and data resampling on imbalance classification. Appl. Intell. Chongsheng Zhang, Paolo Soda, Jingjun Bi, Gaojuan Fan, George Almpanidis, Salvador García, Weiping Ding
2023	J	`jnl`	Correction to: An empirical study on the joint impact of feature selection and data resampling on imbalance classification. Appl. Intell. Chongsheng Zhang, Paolo Soda, Jingjun Bi, Gaojuan Fan, George Almpanidis, Salvador García, Weiping Ding
2021	J	`jnl`	An Empirical Study on the Joint Impact of Feature Selection and Data Re-sampling on Imbalance Classification. CoRR Chongsheng Zhang, Paolo Soda, Jingjun Bi, Gaojuan Fan, George Almpanidis, Salvador Garcia
2019	J	`jnl`	Multi-Imbalance: An open-source software for multi-class imbalance learning. Knowl. Based Syst. Chongsheng Zhang, Jingjun Bi, Shixin Xu, Enislay Ramentol, Gaojuan Fan, Baojun Qiao, Hamido Fujita
2018	J	`jnl`	An empirical comparison on state-of-the-art multi-class imbalance learning algorithms and a new diversified ensemble learning scheme. Knowl. Based Syst. Jingjun Bi, Chongsheng Zhang
2017	—	`conf`	Feature selection and resampling in class imbalance learning: Which comes first? An empirical study in the biological domain. BIBM Chongsheng Zhang, Jingjun Bi, Paolo Soda
2016	J	`jnl`	A parameter-free label propagation algorithm for person identification in stereo videos. Neurocomputing Chongsheng Zhang, Jingjun Bi, Changchang Liu, Ke Chen