Publications

From Seller to Data Supplier: How Creator Compensation Enables AI Displacement

Lijuan Luo, Emaad Manzoor, Nathan Yang, Fan Yao

Working paper · 2026

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Mechanism Design for AI Overviews: Creator Incentives and Long-Term Profit

Yihang Wu, Jiajun Tang, Jinfei Liu, Haifeng Xu, Fan Yao

NeurIPS 2026

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How Sampling Shapes LLM Alignment: From One-Shot Optima to Iterative Dynamics

Yurong Chen, Yu He, Michael I. Jordan, Fan Yao

Working paper · 2026Oral presentation at Econometric Society Interdisciplinary Frontiers (ESIF) conference on Economics and AI+ML, 2026Highlight at the Symposium on Foundations of Responsible Computing (FORC), 2026

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The Complexity of Tullock Contests

Yu He, Fan Yao, Yang Yu, Xiaoyun Qiu, Minming Li, Haifeng Xu

EC 2026

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CREDIT: Certified Ownership Verification of Deep Neural Networks Against Model Extraction Attacks

Bolin Shen, Zhan Cheng, Neil Zhenqiang Gong, Fan Yao, Yushun Dong

ICML 2026

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Single-Agent Poisoning Attacks Suffice to Ruin Multi-Agent Learning

Fan Yao, Yuwei Cheng, Ermin Wei, Haifeng Xu

ICLR 2025

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Policy Design for Two-sided Platforms with Participation Dynamics

Haruka Kiyohara, Fan Yao, Sarah Dean

ICML 2025

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Human vs Generative AI in Content Creation Competition: Symbiosis or Conflict?

Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu

ICML 2024Oral presentation at Econometric Society Interdisciplinary Frontiers (ESIF) conference on Economics and AI+ML

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User Welfare Optimization in Recommender Systems with Competing Content Creators

Fan Yao, Yiming Liao, Mingzhe Wu, Chuanhao Li, Yan Zhu, James Yang, Jingzhou Liu, Qifan Wang, Haifeng Xu, Hongning Wang

KDD 2024Long-term experiment on Instagram Reels

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How Bad is Top-K Recommendation under Competing Content Creators?

Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu

ICML 2023 · Oral

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Publications