Shaoze Cui

Shaoze Cui is an Associate Professor in the School of Management at Beijing Institute of Technology. His research interests primarily focus on smart healthcare, machine learning, computational design science, and financial technology (FinTech). He has published over 20 papers in prestigious international journals, including Decision Support Systems, International Journal of Production Research, Annals of Operations Research, and Information Processing & Management, among which one is recognized as an ESI Highly Cited Paper. To date, his work has garnered over 900 citations on Google Scholar. As a Principal Investigator (PI), Dr. Cui has been awarded grants from the National Natural Science Foundation of China (NSFC) and the China Postdoctoral Science Foundation. He also serves as a reviewer for several esteemed journals, such as Annals of Operations Research, Information Sciences, and Knowledge-Based Systems.

 

I am actively seeking highly motivated Master’s and Doctoral (PhD) candidates who are passionate about research in artificial intelligence technology and its multifaceted applications. Prospective students with an academic background in Computer Science, Information Systems, or Data Science are encouraged to apply to join our research group.

 

Personal Website

https://shaoze-cui.github.io/

 

Contact Information

E-mail: shaoze-cui@foxmail.com; shaoze-cui@bit.edu.cn

 

Educational Background

2018.9-2023.6, Dalian University of Technology, Doctor of Engineering

2016.9-2019.6, Dalian University of Technology, Master of Engineering

2012.9-2016.6, China University of Geosciences (Wuhan), Bachelor of Management

 

Employment Experience

2026.4-now, Beijing Institute of Technology, School of Management, Associate Professor

2023.6-2026.4, Beijing Institute of Technology, School of Management, Teli Postdoctoral Fellow

 

Selected Publications

Shaoze Cui, Ruize Gao, Junwei Kuang, Liang Yang, Huaxin Qiu, Xiaowen Wei*. An Interpretable Imbalance Ensemble Classification Method for Readmission Risk Assessment Incorporating Multi-view Perturbation and SHAP Analysis [J]. Decision Support Systems, 2025, 190: 114404. (FMS-B, ABS-3)

Shaoze Cui, Dujuan Wang*, Yunqiang Yin, Xin Fan, L. Dhamotharan, A. Kumar. Carbon trading price prediction based on a two-stage heterogeneous ensemble method [J]. Annals of Operations Research, 2025, 345(2): 953-977.(FMS-B, ABS-3)

Shaoze Cui, Yunqiang Yin, Dujuan Wang*, Zhiwu Li, Yanzhang Wang. A stacking-based ensemble learning method for earthquake casualty prediction [J]. Applied Soft Computing, 2021, 101: 107038. (ESI Highly Cited Paper)

Shaoze Cui, Yanzhang Wang, Yunqiang Yin, T.C.E. Cheng, Dujuan Wang*, Mingyu Zhai. A cluster-based intelligence ensemble learning method for classification problems [J]. Information Sciences, 2021, 560: 386-409. (FMS-B)

Shaoze Cui, Yanzhang Wang, Dujuan Wang*, Qian Sai, Ziheng Huang, T.C.E. Cheng. A two-layer nested heterogeneous ensemble learning predictive method for COVID-19 mortality [J]. Applied Soft Computing, 2021, 113: 107946. 

Shaoze Cui, Dujuan Wang*, Yanzhang Wang, Pay-Wen Yu, Yaochu Jin. An Improved Support Vector Machine-based Diabetic Readmission Prediction [J]. Computer Methods and Programs in Biomedicine, 2018, 166: 123-135.

Tao Zhu, Xiangpei Hu, Shaoze Cui* (Corresponding Author), Yu Song. An Interpretable Product Demand Forecasting Framework Incorporating Domain Knowledge: A Case Study of Substitution Effects in Community Group-Buying [J]. International Journal of Production Research, 2026, Available Online. (FMS-B, ABS-3)

Jing Qiu, Shaoze Cui (Co-first Author), Weiguo Fan, Ruize Gao. Integrating managerial and investor textual data for financial distress prediction: A framework combining multi-source financial information fusion network with LLM [J]. Information Processing & Management, 2026, Available Online. (FMS-B, ABS-2)

Ruize Gao, Shaoze Cui* (Corresponding Author), Yu Wang, Wei Xu. Predicting financial distress in high-dimensional imbalanced datasets: a multi-heterogeneous self-paced ensemble learning framework [J]. Financial Innovation, 2025, 11: 50. (FMS-B)

Huaxin Qiu, Shaoze Cui*(Corresponding Author), Sutong Wang, Yanzhang Wang, Mengling Feng. A Clustering-based Optimization Method for the Driving Cycle Construction: A case study in Fuzhou and Putian, China [J]. IEEE Transactions on Intelligent Transportation Systems, 2022, 23(10): 18681-18694. (FMS-B)

Ruize Gao, Shaoze Cui (Co-first Author), Weiguo Fan, Hongwu Zhang, Yu Wang*. Integrating the sentiments of multiple news providers for stock market index movement prediction: a deep learning approach based on evidential reasoning rule [J]. Information Sciences, 2022, 615: 529-556. (FMS-B)

Ning Wang, Senyao Zhao, Shaoze Cui*(Corresponding Author), Weiguo Fan. A hybrid ensemble learning method for the identification of gang-related arson cases [J]. Knowledge-Based Systems, 2021, 218: 106875.

Ying Zhang*, Shaoze Cui, Huiying Gao*. Adverse drug reaction detection on social media with deep linguistic features [J]. Journal of Biomedical Informatics, 2020, 106: 103437.