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
“Stochastic Multi-Armed Bandits with Strongly Reward-Dependent Delays“
Yifu Tang, Yingfei Wang, and Zeyu Zheng, (2024). In International Conference on Artificial Intelligence and Statistics (AISTATS), pp. 3043-3051.
“Electronic Medical Records Assisted Digital Clinical Trial Design“
Xinrui Ruan, Jingshen Wang, Yingfei Wang, and Waverly Wei, (2024). In 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“
Yingfei Wang, Inbal Yahav, and Balaji Padmanabhan, (2023). Information Systems Research.
“No-Regret Learning in Two-Echelon Supply Chain with Unknown Demand Distribution“
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“
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“
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“
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., 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,