| 2025 | ICML | Contextual Linear Bandits with Delay as Payoff. | Mengxiao Zhang, Yingfei Wang, Haipeng Luo |
| 2025 | KDD | 3rd Workshop on Causal Inference and Machine Learning in Practice. | Jeong-Yoon Lee, Jing Pan, Yifeng Wu, Totte Harinen, Paul Lo, Zhenyu Zhao, Huigang Chen, Sichao Yin, Roland Stevenson, Jingshen Wang, Yingfei Wang, Chu Wang, Zeyu Zheng |
| 2025 | KDD | A/B Test and Online Experiment Under Diminishing Marginal Effects: Regret Minimization and Statistical Inference. | Jingxu Xu, Yuhang Wu, Yingfei Wang, Chu Wang, Zeyu Zheng |
| 2024 | AISTATS | Electronic Medical Records Assisted Digital Clinical Trial Design. | Xinrui Ruan, Jingshen Wang, Yingfei Wang, Waverly Wei |
| 2024 | AISTATS | Stochastic Multi-Armed Bandits with Strongly Reward-Dependent Delays. | Yifu Tang, Yingfei Wang, Zeyu Zheng |
| 2024 | ICASSP | DDI-CoCo: A Dataset for Understanding the Effect of Color Contrast in Machine-Assisted Skin Disease Detection. | Ming-Chang Chiu, Yingfei Wang, Yen-Ju Kuo, Pin-Yu Chen |
| 2024 | KDD | 2nd Workshop on Causal Inference and Machine Learning in Practice. | Jeong-Yoon Lee, Yifeng Wu, Totte Harinen, Jing Pan, Paul Lo, Zhenyu Zhao, Huigang Chen, Zeyu Zheng, Hasta Vanchinathan, Yingfei Wang, Roland Stevenson |
| 2024 | WSC | LLM Enhanced Machine Learning Estimators for Classification. | Yuhang Wu, Yingfei Wang, Chu Wang, Zeyu Zheng |
| 2023 | AISTATS | No-Regret Learning in Two-Echelon Supply Chain with Unknown Demand Distribution. | Mengxiao Zhang, Shi Chen, Haipeng Luo, Yingfei Wang |
| 2023 | KDD | Causal Inference and Machine Learning in Practice: Use Cases for Product, Brand, Policy and Beyond. | Jeong-Yoon Lee, Yifeng Wu, Keith Battocchi, Fabio Vera, Zhenyu Zhao, Totte Harinen, Jing Pan, Huigang Chen, Zeyu Zheng, Chu Wang, Yingfei Wang, Xinwei Ma |
| 2023 | KDD | 2nd Workshop on Multi-Armed Bandits and Reinforcement Learning: Advancing Decision Making in E-Commerce and Beyond. | Chu Wang, Yingfei Wang, Haipeng Luo, Daniel R. Jiang, Jinghai He, Zeyu Zheng |
| 2021 | ICIS | Prescriptive Analytics in ART: Precision Medication through Preference Learning. | Cong Wang, Yingfei Wang |
| 2021 | KDD | Multi-Armed Bandits and Reinforcement Learning: Advancing Decision Making in E-Commerce and Beyond. | Daniel R. Jiang, Haipeng Luo, Chu Wang, Yingfei Wang |
| 2020 | ICIS | Content and Composition: Understanding The Impact of Merchant Pictures on Market Performance. | Zhenbin Yan, Uttara Anantakrishnan, Yingfei Wang, Yong Tan |
| 2017 | AAAI | Efficient Ordered Combinatorial Semi-Bandits for Whole-Page Recommendation. | Yingfei Wang, Hua Ouyang, Chu Wang, Jianhui Chen, Tsvetan Asamov, Yi Chang |
| 2016 | ICML | The Knowledge Gradient for Sequential Decision Making with Stochastic Binary Feedbacks. | Yingfei Wang, Chu Wang, Warren B. Powell |