Saiji Fu

According to our database, Saiji Fu authored at least 26 papers between 2018 and 2025.

Collaborative distances:

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

2025

Self-improved multi-view interactive knowledge transfer.

Saiji Fu, Haonan Wen, Xiaoxiao Wang, Yingjie Tian

Inf. Fusion, 2025

2024

Weakly privileged learning with knowledge extraction.

Saiji Fu, Tianyi Dong, Zhaoxin Wang, Yingjie Tian

Pattern Recognit., 2024

Generalized robust loss functions for machine learning.

Saiji Fu, Xiaoxiao Wang, Jingjing Tang, Shulin Lan, Ying-Jie Tian

Neural Networks, 2024

Robust two-stage instance-level cost-sensitive learning method for class imbalance problem.

Jingjing Tang, Yan Li, Zhaojie Hou, Saiji Fu, Yingjie Tian

Knowl. Based Syst., 2024

MVQS: Robust multi-view instance-level cost-sensitive learning method for imbalanced data classification.

Zhaojie Hou, Jingjing Tang, Yan Li, Saiji Fu, Yingjie Tian

Inf. Sci., 2024

Advancing robust regression: Addressing asymmetric noise with the BLINEX loss function.

Jingjing Tang, Bangxin Liu, Saiji Fu, Ying-jie Tian, Gang Kou

Inf. Fusion, 2024

Multi-step ahead prediction of carbon price movement using time-series privileged information.

Yingjie Tian, Haonan Wen, Saiji Fu

Expert Syst. Appl., 2024

Universum driven cost-sensitive learning method with asymmetric loss function.

Dalian Liu, Saiji Fu, Ying-Jie Tian, Jingjing Tang

Eng. Appl. Artif. Intell., 2024

Incomplete multi-view learning: Review, analysis, and prospects.

Jingjing Tang, Qingqing Yi, Saiji Fu, Ying-Jie Tian

Appl. Soft Comput., 2024

2023

Coarse-grained privileged learning for classification.

Saiji Fu, Xiaoxiao Wang, Yingjie Tian, Tianyi Dong, Jingjing Tang, Jicai Li

Inf. Process. Manag., November, 2023

Robust regression under the general framework of bounded loss functions.

Saiji Fu, Yingjie Tian, Long Tang

Eur. J. Oper. Res., November, 2023

Multi-view side information-incorporated tensor completion.

Yingjie Tian, Xiaotong Yu, Saiji Fu

Numer. Linear Algebra Appl., October, 2023

Multi-view cost-sensitive kernel learning for imbalanced classification problem.

Jingjing Tang, Zhaojie Hou, Xiaotong Yu, Saiji Fu, Yingjie Tian

Neurocomputing, October, 2023

Analysis of investment effect in Xinjiang from the perspective of nontraditional security.

Ming Chen, Yuqi Zhang, Saiji Fu, Yingjie Tian

Pers. Ubiquitous Comput., August, 2023

Partial label learning: Taxonomy, analysis and outlook.

Yingjie Tian, Xiaotong Yu, Saiji Fu

Neural Networks, April, 2023

Cost-sensitive learning with modified Stein loss function.

Saiji Fu, Yingjie Tian, Jingjing Tang, Xiaohui Liu

Neurocomputing, March, 2023

Robust multi-view learning with the bounded LINEX loss.

Jingjing Tang, Hao He, Saiji Fu, Yingjie Tian, Gang Kou, Shan Xu

Neurocomputing, 2023

Kernel methods with asymmetric and robust loss function.

Yingjie Tian, Xiaoxi Zhao, Saiji Fu

Expert Syst. Appl., 2023

2022

Asymmetric and robust loss function driven least squares support vector machine.

Xiaoxi Zhao, Saiji Fu, Yingjie Tian, Kun Zhao

Knowl. Based Syst., 2022

Cost sensitive ν-support vector machine with LINEX loss.

Saiji Fu, Xiaotong Yu, Yingjie Tian

Inf. Process. Manag., 2022

Data Boundary and Data Pricing Based on the Shapley Value.

Yingjie Tian, Yurong Ding, Saiji Fu, Dalian Liu

IEEE Access, 2022

2021

Incomplete-view oriented kernel learning method with generalization error bound.

Yingjie Tian, Saiji Fu, Jingjing Tang

Inf. Sci., 2021

A brief overview of kernel methods with prior information.

Saiji Fu, Shiding Sun, Xinfeng Wang, Dalian Liu

Proceedings of the 8th International Conference on Information Technology and Quantitative Management, 2021

Fine-grained attribute-aware analysis for person re-identification.

Kunlong Bai, Saiji Fu, Linrui Yang, Dalian Liu

Proceedings of the 8th International Conference on Information Technology and Quantitative Management, 2021

2020

A descriptive framework for the field of deep learning applications in medical images.

Yingjie Tian, Saiji Fu

Knowl. Based Syst., 2020

2018

Research on Stock Price Forecast Based on News Sentiment Analysis - A Case Study of Alibaba.

Lingling Zhang, Saiji Fu, Bochen Li

Proceedings of the Computational Science - ICCS 2018, 2018