Research on Stock Price Forecast Based on News Sentiment Analysis - A Case Study of Alibaba. - Lingling Zhang 001; Saiji Fu; Bochen Li (ICCS (2), 2018)

A descriptive framework for the field of deep learning applications in medical images. - Yingjie Tian 001; Saiji Fu (Knowl. Based Syst., 2020)

Fine-grained attribute-aware analysis for person re-identification. - Kunlong Bai; Saiji Fu; Linrui Yang; Dalian Liu (ITQM, 2021)

A brief overview of kernel methods with prior information. - Saiji Fu; Shiding Sun; Xinfeng Wang; Dalian Liu (ITQM, 2021)

Incomplete-view oriented kernel learning method with generalization error bound. - Yingjie Tian 001; Saiji Fu; Jingjing Tang (Inf. Sci., 2021)

Data Boundary and Data Pricing Based on the Shapley Value. - Yingjie Tian 001; Yurong Ding; Saiji Fu; Dalian Liu (IEEE Access, 2022)

Cost sensitive ν-support vector machine with LINEX loss. - Saiji Fu; Xiaotong Yu; Yingjie Tian 001 (Inf. Process. Manag., 2022)

Asymmetric and robust loss function driven least squares support vector machine. - Xiaoxi Zhao; Saiji Fu; Yingjie Tian 001; Kun Zhao (Knowl. Based Syst., 2022)

Kernel methods with asymmetric and robust loss function. - Yingjie Tian 001; Xiaoxi Zhao; Saiji Fu (Expert Syst. Appl., 2023)

Robust multi-view learning with the bounded LINEX loss. - Jingjing Tang; Hao He; Saiji Fu; Yingjie Tian 001; Gang Kou; Shan Xu (Neurocomputing, 2023)

Cost-sensitive learning with modified Stein loss function. - Saiji Fu; Yingjie Tian 001; Jingjing Tang; Xiaohui Liu 001 (Neurocomputing, 2023)

Partial label learning: Taxonomy, analysis and outlook. - Yingjie Tian 001; Xiaotong Yu; Saiji Fu (Neural Networks, 2023)

Analysis of investment effect in Xinjiang from the perspective of nontraditional security. - Ming Chen; Yuqi Zhang; Saiji Fu; Yingjie Tian 001 (Pers. Ubiquitous Comput., 2023)

Multi-view cost-sensitive kernel learning for imbalanced classification problem. - Jingjing Tang; Zhaojie Hou; Xiaotong Yu; Saiji Fu; Yingjie Tian 001 (Neurocomputing, 2023)

Multi-view side information-incorporated tensor completion. - Yingjie Tian 001; Xiaotong Yu; Saiji Fu (Numer. Linear Algebra Appl., 2023)

Robust regression under the general framework of bounded loss functions. - Saiji Fu; Yingjie Tian 001; Long Tang (Eur. J. Oper. Res., 2023)

Coarse-grained privileged learning for classification. - Saiji Fu; Xiaoxiao Wang; Yingjie Tian 001; Tianyi Dong; Jingjing Tang; Jicai Li (Inf. Process. Manag., 2023)

Incomplete multi-view learning: Review, analysis, and prospects. - Jingjing Tang; Qingqing Yi; Saiji Fu; Ying-Jie Tian 001 (Appl. Soft Comput., 2024)

Universum driven cost-sensitive learning method with asymmetric loss function. - Dalian Liu; Saiji Fu; Ying-Jie Tian 001; Jingjing Tang (Eng. Appl. Artif. Intell., 2024)

Multi-step ahead prediction of carbon price movement using time-series privileged information. - Yingjie Tian 001; Haonan Wen; Saiji Fu (Expert Syst. Appl., 2024)

Advancing robust regression: Addressing asymmetric noise with the BLINEX loss function. - Jingjing Tang; Bangxin Liu; Saiji Fu; Ying-jie Tian 001; Gang Kou (Inf. Fusion, 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 001 (Inf. Sci., 2024)

Robust two-stage instance-level cost-sensitive learning method for class imbalance problem. - Jingjing Tang; Yan Li; Zhaojie Hou; Saiji Fu; Yingjie Tian 001 (Knowl. Based Syst., 2024)

Generalized robust loss functions for machine learning. - Saiji Fu; Xiaoxiao Wang; Jingjing Tang; Shulin Lan; Ying-Jie Tian 001 (Neural Networks, 2024)

Weakly privileged learning with knowledge extraction. - Saiji Fu; Tianyi Dong; Zhaoxin Wang; Yingjie Tian 001 (Pattern Recognit., 2024)

Self-improved multi-view interactive knowledge transfer. - Saiji Fu; Haonan Wen; Xiaoxiao Wang; Yingjie Tian 001 (Inf. Fusion, 2025)