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
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.
Yuhang Wu+, Yingfei Wang, Chu Wang, Zeyu Zheng, “LLM Enhanced Machine Learning Estimators for Classification”, Winter Simulation Conference (WSC), 288-298, 2024.
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.
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.
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.
Yingfei Wang, Hua Ouyang, Chu Wang, Jianhui Chen, Tsvetan Asamov, Yi Chang, "Efficient Ordered Combinatorial Semi-Bandits for Whole-page Recommendation", AAAI Conference, 2017.
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.
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.
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
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.
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.
Yingfei Wang and Warren Powell, "Finite-time analysis for the knowledge-gradient policy", SIAM Journal on Control and Optimization, 56(2): 1105-1129, 2018.
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.
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.
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.