Mengxiao Zhang+, Yingfei Wang, and Haipeng Luo, "Contextual linear bandits with delay as payoff", In Proceedings of the 42nd international conference on Machine learning (ICML), 2025. [Link]
Jingxu Xu+, Yuhang Wu+, Yingfei Wang, Chu Wang, and Zeyu Zheng, "A/B test and online experiment under diminishing marginal effects: Regret minimization and statistical inference", In Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), pp. 3401-3412. 2025. [Link]
Yuhang Wu+, Yingfei Wang, Chu Wang, Zeyu Zheng, “LLM Enhanced Machine Learning Estimators for Classification”, Winter Simulation Conference (WSC), 288-298, 2024. [Link]
Xinrui Ruan*+, Jingshen Wang*, Yingfei Wang*, and Waverly Wei*, “Electronic Medical Records Assisted Digital Clinical Trial Design”, In International Conference on Artificial Intelligence and Statistics (AISTATS), 2836-2844, 2024. [Link]
Yifu Tang*+, Yingfei Wang*, and Zeyu Zheng*, “Stochastic Multi-Armed Bandits with Strongly Reward-Dependent Delays”, In International Conference on Artificial Intelligence and Statistics (AISTATS), 3043-3051, 2024. [Link]
Mengxiao Zhang+, Shi Chen*, Haipeng Luo*, and Yingfei Wang*, “No-Regret Learning in Two-Echelon Supply Chain with Unknown Demand Distribution”, International Conference on Artificial Intelligence and Statistics (AISTATS), 3270-3298, 2023. [Link]
Yingfei Wang, Hua Ouyang, Chu Wang, Jianhui Chen, Tsvetan Asamov, Yi Chang, "Efficient Ordered Combinatorial Semi-Bandits for Whole-page Recommendation", AAAI Conference, 2017. [Link]
Yingfei Wang, Chu Wang and Warren Powell, "The knowledge gradient for sequential decision making with stochastic binary feedbacks", Proceedings of the 33rd international conference on Machine learning (ICML), 2016. [Link]
Lei Liu*, Yingfei Wang*, Zhen Fang*+, and Shaohui Wu*, "The Impact of Verbal and Visual Content on Consumer Engagement in Social Media Marketing", Production and Operations Management, 2025. [Link]
Yingfei Wang, Inbal Yahav, and Balaji Padmanabhan, “Smart Testing with Vaccination: A Bandit-Algorithm for Active Sampling for Managing COVID-19”, Information Systems Research, 35(1): 120- 144, 2024. [Link]
Tongxin Zhou+, Yingfei Wang, Lu (Lucy) Yan and Yong Tan, “Spoiled for Choice? Personalized Recommendation for Healthcare Decisions: A Multiarmed Bandit Approach”, Information Systems Research, 34(4): 1493-1512, 2023. [Link]
Tongxin Zhou+, Lu (Lucy) Yan, Yingfei Wang and Yong Tan, “Turn Your Online Weight Management from Zero to Hero: A Multi-Dimensional Continuous-Time Evaluation”, Management Science, 68(5): 3507-3527, 2022. [Link]
Yingfei Wang and Warren Powell, "Finite-time analysis for the knowledge-gradient policy", SIAM Journal on Control and Optimization, 56(2): 1105-1129, 2018. [Link]
Yan Li, Kris Reyes, Jorge Vazquez-Anderson, Yingfei Wang, Lydia Contreras and Warren Powell, "A Knowledge Gradient Policy for Sequencing Experiments to Identify the Structure of RNA Molecules Using a Sparse Additive Belief Model", Informs Journal on Computing, 30(4): 750-767, 2018. [Link]
Yingfei Wang, Hua Ouyang, Hongbo Deng and Yi Chang, "Learning online trends for interactive query auto-completion", IEEE Transactions on Knowledge and Data Engineering (TKDE), 29(11): 2442-2454, 2017. [Link]
Yingfei Wang, Kris Reyes, Warren Powell, Keith Brown and Chad Mirkin, "Nested batch mode active learning with an application to sequential multi-stage testing in materials science", SIAM Journal on Scientific Computing, 37(3):B361-B381, 2015.