Saiji Fu

28 papers Journal 25Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Efficient and robust kernel learning with class-wise privileged information for pattern classification.
Pattern Recognit.
Jingjing Tang, Qiao Gou, Saiji Fu, Kun Zhao, Tianyi Dong, Ying Jie Tian
2026 J jnl
M3SPCL: Multi-stage multi-grained multi-view supervised prototypical contrastive learning.
Neural Networks
Jingjing Tang, Yan Li, Saiji Fu, Ying Jie Tian, Yu Bao
2025 J jnl
Self-improved multi-view interactive knowledge transfer.
Inf. Fusion
Saiji Fu, Haonan Wen, Xiaoxiao Wang, Yingjie Tian
2024 J jnl
Advancing robust regression: Addressing asymmetric noise with the BLINEX loss function.
Inf. Fusion
Jingjing Tang, Bangxin Liu, Saiji Fu, Ying-jie Tian, Gang Kou
2024 J jnl
Generalized robust loss functions for machine learning.
Neural Networks
Saiji Fu, Xiaoxiao Wang, Jingjing Tang, Shulin Lan, Ying-jie Tian
2024 J jnl
Incomplete multi-view learning: Review, analysis, and prospects.
Appl. Soft Comput.
Jingjing Tang, Qingqing Yi, Saiji Fu, Ying-jie Tian
2024 J jnl
MVQS: Robust multi-view instance-level cost-sensitive learning method for imbalanced data classification.
Inf. Sci.
Zhaojie Hou, Jingjing Tang, Yan Li, Saiji Fu, Yingjie Tian
2024 J jnl
Multi-step ahead prediction of carbon price movement using time-series privileged information.
Expert Syst. Appl.
Yingjie Tian, Haonan Wen, Saiji Fu
2024 J jnl
Robust two-stage instance-level cost-sensitive learning method for class imbalance problem.
Knowl. Based Syst.
Jingjing Tang, Yan Li, Zhaojie Hou, Saiji Fu, Yingjie Tian
2024 J jnl
Universum driven cost-sensitive learning method with asymmetric loss function.
Eng. Appl. Artif. Intell.
Dalian Liu, Saiji Fu, Ying-jie Tian, Jingjing Tang
2024 J jnl
Weakly privileged learning with knowledge extraction.
Pattern Recognit.
Saiji Fu, Tianyi Dong, Zhaoxin Wang, Yingjie Tian
2023 J jnl
Analysis of investment effect in Xinjiang from the perspective of nontraditional security.
Pers. Ubiquitous Comput.
Ming Chen, Yuqi Zhang, Saiji Fu, Yingjie Tian
2023 J jnl
Coarse-grained privileged learning for classification.
Inf. Process. Manag.
Saiji Fu, Xiaoxiao Wang, Yingjie Tian, Tianyi Dong, Jingjing Tang, Jicai Li
2023 J jnl
Cost-sensitive learning with modified Stein loss function.
Neurocomputing
Saiji Fu, Yingjie Tian, Jingjing Tang, Xiaohui Liu
2023 J jnl
Kernel methods with asymmetric and robust loss function.
Expert Syst. Appl.
Yingjie Tian, Xiaoxi Zhao, Saiji Fu
2023 J jnl
Multi-view cost-sensitive kernel learning for imbalanced classification problem.
Neurocomputing
Jingjing Tang, Zhaojie Hou, Xiaotong Yu, Saiji Fu, Yingjie Tian
2023 J jnl
Multi-view side information-incorporated tensor completion.
Numer. Linear Algebra Appl.
Yingjie Tian, Xiaotong Yu, Saiji Fu
2023 J jnl
Partial label learning: Taxonomy, analysis and outlook.
Neural Networks
Yingjie Tian, Xiaotong Yu, Saiji Fu
2023 J jnl
Robust multi-view learning with the bounded LINEX loss.
Neurocomputing
Jingjing Tang, Hao He, Saiji Fu, Yingjie Tian, Gang Kou, Shan Xu
2023 J jnl
Robust regression under the general framework of bounded loss functions.
Eur. J. Oper. Res.
Saiji Fu, Yingjie Tian, Long Tang
2022 J jnl
Asymmetric and robust loss function driven least squares support vector machine.
Knowl. Based Syst.
Xiaoxi Zhao, Saiji Fu, Yingjie Tian, Kun Zhao
2022 J jnl
Cost sensitive ν-support vector machine with LINEX loss.
Inf. Process. Manag.
Saiji Fu, Xiaotong Yu, Yingjie Tian
2022 J jnl
Data Boundary and Data Pricing Based on the Shapley Value.
IEEE Access
Yingjie Tian, Yurong Ding, Saiji Fu, Dalian Liu
2021 — conf
A brief overview of kernel methods with prior information.
ITQM
Saiji Fu, Shiding Sun, Xinfeng Wang, Dalian Liu
2021 — conf
Fine-grained attribute-aware analysis for person re-identification.
ITQM
Kunlong Bai, Saiji Fu, LinRui Yang, Dalian Liu
2021 J jnl
Incomplete-view oriented kernel learning method with generalization error bound.
Inf. Sci.
Yingjie Tian, Saiji Fu, Jingjing Tang
2020 J jnl
A descriptive framework for the field of deep learning applications in medical images.
Knowl. Based Syst.
Yingjie Tian, Saiji Fu
2018 — conf
Research on Stock Price Forecast Based on News Sentiment Analysis - A Case Study of Alibaba.
ICCS (2)
Lingling Zhang, Saiji Fu, Bochen Li