Yingfei Wang
- Assistant Professor of Information Systems
Education
- PhD Princeton University (2017)
- BS Peking University (2012)
Academic Expertise
- big data
- data analytics
- e-commerce
- machine learning
- operations research
- statistics
Current Research
- Machine learning, recommendation systems, Bayesian optimization, dynamic pricing, e-commerce, online auctions, deep learning, natural language processing, and healthcare analytics
Selected Publications
“Collaborative Intelligence in Sequential Experiments: A Human-in-the-Loop Framework for Drug Discovery”
He, J., Hua, C., Wang, Y., and Zheng, Z., (forthcoming). Information Systems Research.
“Contextual Linear Bandits with Delay as Payoff”
Zhang, M., Wang, Y., and Luo, H., (2025). Proceedings of the International Conference on Machine Learning (ICML).
“A/B Test and Online Experiment Under Diminishing Marginal Effects: Regret Minimization and Statistical Inference”
Xu, J., Wu, Y., Wang, Y., Wang, C., and Zheng, Z., (2025). Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), pp. 3401–3412.
“The Impact of Verbal and Visual Content on Consumer Engagement in Social Media Marketing”
Liu, L., Wang, Y., Fang, Z., and Wu, S., (2025). Production and Operations Management.
“Stochastic Multi-Armed Bandits with Strongly Reward-Dependent Delays”
Tang, Y., Wang, Y., and Zheng, Z., (2024). Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS), pp. 3043–3051.
“Electronic Medical Records Assisted Digital Clinical Trial Design”
Ruan, X., Wang, J., Wang, Y., and Wei, W., (2024). Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS), pp. 2836–2844.
“Smart Testing with Vaccination: A Bandit Algorithm for Active Sampling for Managing COVID-19”
Wang, Y., Yahav, I., and Padmanabhan, B., (2023). Information Systems Research.
“No-Regret Learning in Two-Echelon Supply Chain with Unknown Demand Distribution”
Zhang, M., Chen, S., Luo, H., and Wang, Y., (2023). Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS), pp. 3270–3298.
“Spoiled for Choice? Personalized Recommendation for Healthcare Decisions: A Multi-Armed Bandit Approach”
Zhou, T., Wang, Y., Yan, L. (Lucy), and Tan, Y., (2023). Information Systems Research.
“Turn Your Online Weight Management from Zero to Hero: A Multi-Dimensional Continuous-Time Evaluation”
Zhou, T., Yan, L. (Lucy), Wang, Y., and Tan, Y., (2022). Management Science, Vol. 68(5), pp. 3507–3527.
“Finite-Time Analysis for the Knowledge-Gradient Policy”
Wang, Y., and Powell, W., (2018). SIAM Journal on Control and Optimization, Vol. 56(2), pp. 1105–1129.
“Learning Online Trends for Interactive Query Auto-Completion”
Wang, Y., Ouyang, H., Deng, H., and Chang, Y., (2017). IEEE Transactions on Knowledge and Data Engineering.
“Efficient Ordered Combinatorial Semi-Bandits for Whole-Page Recommendation”
Wang, Y., Ouyang, H., Wang, C., Chen, J., Asamov, T., and Chang, Y., (2017). AAAI Conference on Artificial Intelligence.
“The Knowledge Gradient for Sequential Decision Making with Stochastic Binary Feedbacks”
Wang, Y., Wang, C., and Powell, W., (2016). Proceedings of the 33rd International Conference on Machine Learning (ICML).