Journal Publications
- 1. Deep Reinforcement Learning for Sequential Targeting
Wen Wang, Beibei Li, Xueming Luo, Xiaoyi Wang
Management Science (IS department) [Paper link]
ICIS 2020, AIML 2020, MIT CODE 2020, INFORMS Annual Meeting
- 2. Predicting Instructor Performance in Online Education: An Interpretable Hierarchical Transformer with Contextual Attention
Wen Wang, Mi Zhou, Beibei Li, Honglei Zhuang
Information Systems Research [Paper link]
INFORMS Annual Meeting
- 3. Learning Personalized Privacy Preference From Public Data
Wen Wang, Beibei Li
Information Systems Research [Paper link]
SCECR 2023, ICIS 2023
- 4. Unraveling Generative AI from A Human Intelligence Perspective: A Battery of Experiments
Wen Wang, Siqi Pei, Tianshu Sun
Information Systems Research, Forthcoming
CKGSB Digital Young Scholar Symposium, Marketing Science Conference 2025
- 5. Predicting Consumer In-Store Purchase through Real-Time Video Analytics: An Advanced Computer Vision and Deep Learning Approach
Rubing Li,† Wen Wang,† Kaiquan Xu, Anindya Ghose, Beibei Li
(† Co-first authors with equal contribution)
Information Systems Research, Forthcoming [Paper link]
Working Papers
- 6. Divergent Thinking and Online Informational Videos: A Multimodal Deep Learning and Causal Machine Learning Approach
Wen Wang, Weihong Zhao
Under 3rd round review at Information Systems Research
Best Paper Award in Digital Innovation Track at ICIS 2021
ICIS 2021, CSWIM 2021
- 7. From Reactive to Proactive: Empowering LLMs for Information-Seeking through Probabilistic Bayesian Inference and Knowledge Graphs
Wen Wang, Zhenyue Zhao, Tianshu Sun
Under 2nd round Major Revision at Information Systems Research [Paper link]
ICIS 2024
- 8. Data Governance for Customer-Facing LLMs: Valuation and Selective Unlearning
Yan Leng, Wen Wang
Reject and Resubmit at Marketing Science [Paper link]
- 9. (How) Can LLMs Enhance Privacy Research?
Charlie Cheng, Wen Wang
Under 1st round Major Revision at Management Science
ICIS 2025, INFORMS Workshop on Data Science 2025
- 10. Self-Supervised Reinforcement Learning with LLMs for Patient Profiling from Pharmacy Records.
Hao-Wan Long, Wen Wang, Tianshu Sun
Under 1st round Major Revision at Information Systems Research
WITS 2025
- 11. LLMs for Explainable Business Decision-Making: A Reinforcement Learning Fine-Tuning Approach
Charlie Cheng, Wen Wang, Anindya Ghose.
Under Review [Paper link]
CIST 2025, INFORMS Workshop on Data Science 2025
- 12. Learning from Success: Sales-Optimized Advertisement Generation in Short Video Marketing
Wenyi Huang†, Kunhan Wu†, Wen Wang
(† Co-first authors with equal contribution)
Under Review [Paper link]
BizAI 2025
- 13. Delegation Decisions in the Age of Generative AI: Insights from Human–LLM Co-Creation
Wen Wang, Tianshu Sun
Under Review [Paper link]
Work-in-progress
- 14. How Information Cues Transform Video-Based Online Education? Combining Randomized Experiments and Multimodal Machine Learning
Yi-yun Chu, Zhe Deng, Wen Wang, Pedro Ferreira
SCECR 2024 , SCECR 2025
- 15. Privacy Regulation in Live-Streaming Content
Yuan Yuan, Nikhil Malik, Wen Wang, Kannan Srinivasan
Under Review [Paper link]
AIML 2023, AIM Conference 2024, CIST 2024
Gerard Tellis Award for Excellence in Research at AIM Conference 2024
- 16. LiFT: Temporal Point Process Meets LLMs for Shopping Journey Forecasting
Xingwen Liu, Wen Wang, Yifan Yu
WITS 2025, BizAI 2025
- 17. Text versus Video for Knowledge Communication? Combining Quasi-Experiments and the Interpretable Video Analytics
Gujie Li, Jui Ramaprasad, Lauren Rhue, Wen Wang
SCECR 2023, CIST 2023, WISE2023
Best Paper Award Nominee at WISE 2023