Zikun Ye
- Assistant Professor of Marketing
Education
- PhD University of Illinois at Urbana-Champaign (2023)
- BS Shanghai Jiao Tong University (2018)
Academic Expertise
- advertising
- casual machine learning
- large language models
- online platform
Current Research
- Large Language Models, Digital Marketing, Data Driven Decision Making
Positions Held
- Assistant Professor, Michael G. Foster School of Business, University of Washington, since 2023
Selected Publications
LOLA: LLM-assisted online learning algorithm for content experiments
Ye, Z., Yoganarasimhan, H. and Zheng, Y., (2025). Marketing Science, 44(5):995-1016.
Deep-learning-based causal inference for large-scale combinatorial experiments: Theory and empirical evidence
Ye, Z., Zhang, Z., Zhang, D., Zhang, H. and Zhang, R.P., (2025). Forthcoming in Management Science.
Efficient algorithms for a class of stochastic hidden convex optimization and its applications in network revenue management
Chen, X., He, N., Hu, Y. and Ye, Z., (2025). Operations Research, 73(2), pp.704-719.
Cold start to improve market thickness on online advertising platforms: Data-driven algorithms and field experiments
Ye, Z., Zhang, D.J., Zhang, H., Zhang, R., and Chen, X., (2023). Management Science, 69(7), pp.3838-3860.