EDBT 2026 Demo / reviewers in the wild / expert
Saiji Fu
dblp:220/9952
· DBLP profile ↗
19ranked-venue papers
5as first author
18since 2021 · last 2026
0000-0002-5233-5094ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 14 · 3 first-author · 13 since 2021Databases, data management, data science and information retrieval · 4 · 2 first-author · 4 since 2021Human-computer interaction and ubiquitous computing · 1 · 1 since 2021
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | M3SPCL: Multi-stage multi-grained multi-view supervised prototypical contrastive learning
Jingjing Tang 0004, Yan Li 0151, Saiji Fu, Yingjie Tian 0001 |
Neural Networks | 3 |
| 2026 | Efficient and robust kernel learning with class-wise privileged information for pattern classification
Jingjing Tang 0004, Qiao Gou, Saiji Fu, Tianyi Dong, Yingjie Tian 0001 |
Pattern Recognit. | 3 |
| 2024 | Universum driven cost-sensitive learning method with asymmetric loss function
Dalian Liu, Saiji Fu, Yingjie Tian 0001, Jingjing Tang 0004 |
Eng. Appl. Artif. Intell. | 2 |
| 2024 | Multi-step ahead prediction of carbon price movement using time-series privileged information
Yingjie Tian 0001, Haonan Wen, Saiji Fu |
Expert Syst. Appl. | 3 |
| 2024 | MVQS: Robust multi-view instance-level cost-sensitive learning method for imbalanced data classification
Zhaojie Hou, Jingjing Tang 0004, Yan Li 0151, Saiji Fu, Yingjie Tian 0001 |
Inf. Sci. | 4 |
| 2024 | Robust two-stage instance-level cost-sensitive learning method for class imbalance problem
Jingjing Tang 0004, Yan Li 0151, Zhaojie Hou, Saiji Fu, Yingjie Tian 0001 |
Knowl. Based Syst. | 4 |
| 2024 | Generalized robust loss functions for machine learning
Saiji Fu, Jingjing Tang 0004, Shulin Lan, Yingjie Tian 0001 |
Neural Networks | 1 |
| 2024 | Weakly privileged learning with knowledge extraction
Saiji Fu, Tianyi Dong, Yingjie Tian 0001 |
Pattern Recognit. | 1 |
| 2023 | Kernel methods with asymmetric and robust loss function
Yingjie Tian 0001, Xiaoxi Zhao, Saiji Fu |
Expert Syst. Appl. | 3 |
| 2023 | Cost-sensitive learning with modified Stein loss function
Saiji Fu, Yingjie Tian 0001, Jingjing Tang 0004, Xiaohui Liu 0001 |
Neurocomputing | 1 |
| 2023 | Robust multi-view learning with the bounded LINEX loss
Jingjing Tang 0004, Saiji Fu, Yingjie Tian 0001, Gang Kou |
Neurocomputing | 3 |
| 2023 | Multi-view cost-sensitive kernel learning for imbalanced classification problem
Jingjing Tang 0004, Zhaojie Hou, Xiaotong Yu, Saiji Fu, Yingjie Tian 0001 |
Neurocomputing | 4 |
| 2023 | Coarse-grained privileged learning for classification
Saiji Fu, Yingjie Tian 0001, Tianyi Dong, Jingjing Tang 0004, Jicai Li |
Inf. Process. Manag. | 1 |
| 2023 | Partial label learning: Taxonomy, analysis and outlook
Yingjie Tian 0001, Xiaotong Yu, Saiji Fu |
Neural Networks | 3 |
| 2023 | Analysis of investment effect in Xinjiang from the perspective of nontraditional security
Saiji Fu, Yingjie Tian 0001 |
Pers. Ubiquitous Comput. | 3 |
| 2022 | Cost sensitive ν-support vector machine with LINEX loss
Saiji Fu, Xiaotong Yu, Yingjie Tian 0001 |
Inf. Process. Manag. | 1 |
| 2022 | Asymmetric and robust loss function driven least squares support vector machine
Xiaoxi Zhao, Saiji Fu, Yingjie Tian 0001 |
Knowl. Based Syst. | 2 |
| 2021 | Incomplete-view oriented kernel learning method with generalization error bound
Yingjie Tian 0001, Saiji Fu, Jingjing Tang 0004 |
Inf. Sci. | 2 |
| 2020 | A descriptive framework for the field of deep learning applications in medical images
Yingjie Tian 0001, Saiji Fu |
Knowl. Based Syst. | 2 |