Journal Publications
- 1. Deep Reinforcement Learning for Sequential Targeting
Wen Wang, Beibei Li, Xueming Luo
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
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
Working Papers
- 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)
Under 3rd round review at Information Systems Research [Paper link]
- 6. Divergent Thinking and Online Informational Videos: A Multimodal Deep Learning and Causal Machine Learning Approach
Under 2nd round Major Revision at Information Systems Research [Paper link]
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 [Paper link]
Under 2nd round Major Revision at Information Systems Research
ICIS 2024
- 8. (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
- 9. Self-Supervised Reinforcement Learning with LLMs for Patient Profiling from Pharmacy Records.
Hao-Wan Long, Wen Wang, Tianshu Sun
Under Review
WITS 2025
- 10. 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
- 11. LLMs for Explainable Business Decision-Making: A Reinforcement Learning Fine-Tuning Approach
Charlie Cheng, Wen Wang, Anindya Ghose.
CIST 2025, INFORMS Workshop on Data Science 2025
- 12. Delegation Decisions in the Age of Generative AI: Insights from Human–LLM Co-Creation
Wen Wang, Tianshu Sun
Under Review [Paper link]
- 13. 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
Work-in-progress
- 14. Low-Rank Directional Influence Tracing for Data Governance in Fine-Tuned LLMs
Yan Leng, Wen Wang
- 15. LiFT: Temporal Point Process Meets LLMs for Shopping Journey Forecasting
Xingwen Liu, Wen Wang, Yifan Yu
WITS 2025
- 16. Spillover Effects of Generative AI on Human-Generated Content Creation: Evidence from a Crowd-Sourcing Design Platform
Weihong Zhao, Wen Wang, Siva Viswanathan [Paper link]
WISE2023, INFORMS Annual Meeting 2024
- 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