Foster School of Business
University of Washington
Seattle, WA 98195
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
- “Smart Testing with Vaccination: A Bandit- Algorithm for Active Sampling for Managing COVID-19“Journal Article:Yingfei Wang, Inbal Yahav, and Balaji Padmanabhan, (2023). Information Systems Research,
- “No-Regret Learning in Two-Echelon Supply Chain with Unknown Demand Distribution“Journal Article:Mengxiao Zhang, Shi Chen, Haipeng Luo, and Yingfei Wang, (2023). International Conference on Artificial Intelligence and Statistics (AISTATS), pp. 3270-3298.
- “Spoiled for Choice? Personalized Recom- mendation for Healthcare Decisions: A Multiarmed Bandit Approach“Journal Article:Tongxin Zhou, Yingfei Wang, Lu (Lucy) Yan and Yong Tan, (2023). Information Systems Research,
- “Turn Your Online Weight Management from Zero to Hero: A Multi-Dimensional Continuous-Time Evaluation“Journal Article:Tongxin Zhou, Lu (Lucy) Yan, Yingfei Wang and Yong Tan, (2022). Management Science, Vol. 68(5), pp. 3507-3527.
- “Finite-time Analysis for the Knowledge-Gradient Policy“Journal Article: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“Journal Article:Wang, Y., Ouyang, H., Deng, H., Chang, Y., (2017). IEEE Transactions on Knowledge and Data Engineering,
- “Efficient Ordered Combinatorial Semi-Bandits for Whole-page Recommendation“Journal Article: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“Journal Article:Wang, Y., Wang, C., and Powell, W., (2016). Proceedings of the 33rd international conference on Machine learning,