Hongzhe Zhang is an Assistant Professor in the Department of Information, Technology and Innovation at Antai College of Economics and Management, Shanghai Jiao Tong University. Prior to joining SJTU, he was an Assistant Professor in Information Systems at The Chinese University of Hong Kong, Shenzhen, from 2023 to 2026. He received his Ph.D. in Financial Services Analytics from the University of Delaware in August 2023, where he was fortunate to be advised by Professor Xiao Fang.

His research addresses important business and societal problems by developing novel and rigorous machine learning methods. A typical research project begins by identifying a significant business or societal problem and analyzing its unique characteristics that make it difficult to solve effectively using existing machine learning algorithms. Based on this analysis, a novel machine learning algorithm or method is developed to tackle these challenges, thereby solving the problem effectively and efficiently. Through this work, he seeks to make methodological contributions to both Information Systems and machine learning. This stream of research is known as Computational Design Science in the field of Information Systems.

Education

Ph.D. in Financial Services Analytics University of Delaware, 2018 - 2023
M.S. in Statistics Rutgers University, 2016 - 2018
B.S. in Mathematics and Applied Mathematics Xiamen University, 2012 - 2016

Research Interests

Method Area

  • Foundation Model
  • Machine Learning
  • Optimization

Applied Area

  • Financial Technology
  • Privacy-Preserving AI
  • Recommender Systems

Publications

† Corresponding author; # Equal contribution.

  1. J. Xu, J. Wang†, Hongzhe Zhang†, and T. Lu. “A User Purchase Motivation-Aware Product Recommender System”. Information Systems Research, forthcoming. Official Website, Preprint Version

  2. Hongzhe Zhang, W. Qian, and X. Fang. 2026 “Latent Similarity-Enhanced Credit Risk Prediction”. MIS Quarterly, 50(2), 731-766. Official Website, Preprint Version

  3. Hongzhe Zhang#, X. Zhao#, X. Fang, and B. Chen. 2024. “Proactive Resource Request for Disaster Response: A Deep Learning-based Optimization Model”. Information Systems Research, 35(2), 528-550. Official Website, Preprint Version

  4. X. Fang, S. Che, M. Mao, Hongzhe Zhang, M. Zhao, and X. Zhao. 2024. “Bias of AI-generated Content: An Examination of News Produced by Large Language Models”. Scientific Reports, 14(1). (ESI Highly Cited Paper) Official Website, Preprint Version

  5. H. Wu, Hongzhe Zhang†, L. Li, Z. Chen, F. Zhu, and X. Fang. 2022. “Cheaper Is Better: Exploring Price Competitiveness for Online Purchase Prediction”. 38th IEEE International Conference on Data Engineering (ICDE 2022), 3399-3412, IEEE. Official Website

Working Papers

  1. Y. Yang, J. Xu, Hongzhe Zhang, and X. Fang. “Secure Confidential Business Information When Sharing Machine Learning Models”, under review. Preprint Version

  2. Hongzhe Zhang, J. Xu, J. He, and X. Fang. “Privacy-Preserving Credit Risk Prediction with Alternative Data”, under review. Preprint Version

  3. S. Ke, S. Ding, L. Zhao, Hongzhe Zhang, Y. Chai, and X. Fang. “Chronic Disease Assessment with Distributed Heterogeneous Mobile Sensor Data: A Novel Federated Bayesian Learning Approach”, under review.

Teaching

FIN6129, Blockchain in Finance

M.S. in Finance, CUHK-Shenzhen

MDS5118, Blockchain

M.S. in Data Science, CUHK-Shenzhen

IBA6315, Smart Programming for Business

M.S. in IMBA, CUHK-Shenzhen

MDS6652, Operations Management and Analytics

M.S. in Data Science, CUHK-Shenzhen

Academic Service

Journal Reviewer

Management Science, MIS Quarterly, Information Systems Research, INFORMS Journal on Computing, Production and Operations Management, Journal of Operations Management, IEEE Transactions on Dependable and Secure Computing

Conference Committee

ICIS 2023, ICIS 2024, PACIS 2024, WITS 2026, PACIS 2027

Contact

Email: hongzhezhang {at} sjtu [dot] edu [dot] cn

Phone: +86 (0)21 6293 4975

Address: Room B1106, Antai Building, Hua Shan Road 1954, Shanghai, China.