My research sits at the intersection of marketing, machine learning, and statistics. I focus on leveraging theoretical frameworks and behavioral insights to design more effective AI and machine learning systems, with an emphasis on understanding and improving their long-term values.
Yuyan Wang, Cheenar Banerjee, Samer Chucri, Minmin Chen.
- Winner of Steven Shugan Best Junior Faculty Paper Award at AI in Management Conference (AIM 2025).
- Short version accepted by the Actionable Interpretability Workshop at ICML 2025.
The Blessing of Reasoning: LLM-Based Contrastive Explanations in Black-Box Recommender Systems
Yuyan Wang, Pan Li, Minmin Chen.
- Finalist for Best Paper Award at AI in Management Conference (AIM 2025).
- Short version accepted by the Actionable Interpretability Workshop at ICML 2025.
Yuyan Wang, Long Tao, Xian Xing Zhang.
Marketing Science.
- Best Paper Award at CIST 2022.
- Media coverage: Stanford Report, Insights By Stanford Business.
Quefeng Li, Guang Cheng, Jianqing Fan, Yuyan Wang.
Journal of the American Statistical Association (JASA), 113.521 (2018): 380-389.
Ning Lin, Renzhi Jing, Yuyan Wang, Emmi Yonekura, Jianqing Fan, and Lingzhou Xue.
Monthly Weather Review - American Meteorological Society (AMS), 145 (7), 2813-2831.
Jianqing Fan, Quefeng Li, Yuyan Wang (alphabetical order).
Journal of the Royal Statistical Society: Series B (Statistical Methodology) (JRSS-B) 79.1 (2017): 247-265.
Not All Impressions Are Created Equal: Psychology-Informed Retention Optimization for Short-Form Video Recommendation.
Yuyan Wang, Can Xu, Ed H. Chi, Minmin Chen.
Accepted by Recsys 2025 (to appear).
- Top conference for Recommender Systems. Spotlight oral presentation; Acceptance rate: 10.0%.
Beyond Item Dissimilarities: Diversifying by Intent in Recommender Systems.
Yuyan Wang, Can Xu, Ed H. Chi, Minmin Chen.
Accepted by KDD 2025 (to appear).
- Full paper with oral presentation; Acceptance rate: 22.0%. Short version accepted to BayLearn 2024.
Bo Chang, Alexandros Karatzoglou, Yuyan Wang, Can Xu, Ed H. Chi, Minmin Chen.
Proceedings of the ACM Web Conference 2023 (WWW / theWebConf 2023).
- Full paper with oral presentation; Acceptance rate: 19.8%.
Yuyan Wang, Mohit Sharma, Sriraj Badam, Can Xu, Qian Sun, Lee Richardson, Lisa Chung, Ed H. Chi, Minmin Chen.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (KDD 2022).
- Full paper with oral presentation; Acceptance rate: 15.0%. Short version accepted to BayLearn 2022.
Yuyan Wang, Long Tao, Xian Xing Zhang.
Sixteenth ACM Conference on Recommender Systems (Recsys 2022).
- Top conference for Recommender Systems. Extended abstract with oral presentation; Acceptance rate: 28.0%.
Yuyan Wang, Mohit Sharma, Sriraj Badam, Can Xu, Qian Sun, Lee Richardson, Lisa Chung, Ed H. Chi, Minmin Chen.
Proceedings of the ACM Web Conference 2022 (WWW / theWebConf 2022).
- Full paper with oral presentation; Acceptance rate: 17.7%.
Jianling Wang, Elaine Le, Bo Chang, Yuyan Wang, Ed H. Chi, Minmin Chen.
Proceedings of the ACM Web Conference 2022 (WWW / theWebConf 2022).
- Full paper with oral presentation; Acceptance rate: 17.7%.
Michael Oberst, Alexander D’Amour, Minmin Chen, Yuyan Wang, David Sontag, Steve Yadlowsky.
- Oral presentation at the American Causal Inference Conference (ACIC 2022). Journal version submitted.
Yuyan Wang, Xuezhi Wang, Alex Beutel, Flabien Prost, Jilin Chen, Ed H. Chi.
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (KDD 2021).
- Full paper with oral presentation; Acceptance rate: 15.4%. Short version accepted to BayLearn 2021.
Minmin Chen, Yuyan Wang, Can Xu, Elaine Le, Mohit Sharma, Lee Richardson, Su-Lin Wu, Ed Chi.
Fifteenth ACM Conference on Recommender Systems (Recsys 2021).Top conference for Recommender Systems.
- Full paper with oral presentation; Acceptance rate: 18.4%.
Zhe Chen, Yuyan Wang, Dong Lin, Derek Zhiyuan Cheng, Lichan Hong, Ed Chi, Claire Cui.
Proceedings of the 14th ACM International Conference on Web Search and Data Mining (WSDM 2021).
- Full paper with oral presentation; Acceptance rate: 18.6%.
Yuyan Wang, Xian Xing Zhang, Isaac Suyu Liu, Yuanchi Ning, Chen Peng.
U.S. Patent No. 11,127,066. Washington, DC: U.S. Patent and Trademark Office.
Xian Xing Zhang, Sidney Zhang, Yuyan Wang, Mihir Gogate, Yuanchi Ning, Chen Peng, Isaac Liu, Calvin Lee.
U.S. Patent No. 11,157,579. Washington, DC: U.S. Patent and Trademark Office.
Yuyan Wang, Yuanchi Ning, Isaac Liu, and Xian Xing Zhang.
Uber Engineering Blog.
- Selected as "Top 10 machine learning articles of the month" (0.7%) by an independent publisher.
Modeling Hierarchical User Exploration for Improving Long-Term Performance in Recommender Systems.
Pan Li, Yuyan Wang, Ed Chi, Minmin Chen.