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ORCIDFan Yao 0002
Person information
- affiliation: University of North Carolina at Chapel Hill, Department of Statistics and Operations Research, Chapel Hill, NC, USA
- affiliation (PhD 2025): University of Virginia, Department of Computer Science, Charlottesville, VA, USA
Other persons with the same name
- Fan Yao — disambiguation page
- Fan Yao 0001
![[0000-0002-0360-5641]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-0360-5641")
— University of Central Florida, Department of Electrical and Computer Engineering, Orlando, FL, USA (and 1 more)
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2020 – today
- 2025
[c17]Yuwei Cheng, Fan Yao, Xuefeng Liu, Haifeng Xu:
Learning from Imperfect Human Feedback: A Tale from Corruption-Robust Dueling. ICLR 2025- [c16]Fan Yao, Yuwei Cheng, Ermin Wei, Haifeng Xu:
Single-agent Poisoning Attacks Suffice to Ruin Multi-Agent Learning. ICLR 2025 - [c15]Haruka Kiyohara, Fan Yao, Sarah Dean:
Policy Design for Two-sided Platforms with Participation Dynamics. ICML 2025 - [c14]Yaolong Yu, Fan Yao, Sinno Jialin Pan:
Beyond Self-Interest: How Group Strategies Reshape Content Creation in Recommendation Platforms? ICML 2025 - [c13]Shengyu Zhang, Fan Yao, Yujie Lu, Chaoyue Niu, Hongxia Yang, Fan Wu, Fei Wu:
CEFSW'25: The 2nd Collaboration and Evolution of Foundation and Specialized Models Workshop. ICMR 2025: 2151-2153 - [i15]Haruka Kiyohara, Fan Yao, Sarah Dean:
Policy Design for Two-sided Platforms with Participation Dynamics. CoRR abs/2502.01792 (2025) - [i14]Saba Ahmadi, Avrim Blum, Haifeng Xu, Fan Yao:
Strategic Filtering for Content Moderation: Free Speech or Free of Distortion? CoRR abs/2507.20061 (2025) - 2024
- [c12]Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu:
Human vs. Generative AI in Content Creation Competition: Symbiosis or Conflict? ICML 2024: 56885-56913 - [c11]Fan Yao, Yiming Liao, Mingzhe Wu, Chuanhao Li, Yan Zhu, James Yang, Jingzhou Liu, Qifan Wang, Haifeng Xu, Hongning Wang:
User Welfare Optimization in Recommender Systems with Competing Content Creators. KDD 2024: 3874-3885 - [c10]Fan Yao, Yiming Liao, Jingzhou Liu, Shaoliang Nie, Qifan Wang, Haifeng Xu, Hongning Wang:
Unveiling User Satisfaction and Creator Productivity Trade-Offs in Recommendation Platforms. NeurIPS 2024 - [i13]Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu:
Human vs. Generative AI in Content Creation Competition: Symbiosis or Conflict? CoRR abs/2402.15467 (2024) - [i12]Fan Yao, Yiming Liao, Mingzhe Wu, Chuanhao Li, Yan Zhu, James Yang, Qifan Wang, Haifeng Xu, Hongning Wang:
User Welfare Optimization in Recommender Systems with Competing Content Creators. CoRR abs/2404.18319 (2024) - [i11]Yuwei Cheng, Fan Yao, Xuefeng Liu, Haifeng Xu:
Learning from Imperfect Human Feedback: a Tale from Corruption-Robust Dueling. CoRR abs/2405.11204 (2024) - [i10]Fan Yao, Yiming Liao, Jingzhou Liu, Shaoliang Nie, Qifan Wang, Haifeng Xu, Hongning Wang:
Unveiling User Satisfaction and Creator Productivity Trade-Offs in Recommendation Platforms. CoRR abs/2410.23683 (2024) - [i9]Yu He, Fan Yao, Yang Yu, Xiaoyun Qiu, Minming Li, Haifeng Xu:
The Complexity of Tullock Contests. CoRR abs/2412.06444 (2024) - 2023
- [j1]Ravi Sundaram, Anil Vullikanti, Haifeng Xu, Fan Yao:
PAC-learning for Strategic Classification. J. Mach. Learn. Res. 24: 192:1-192:38 (2023) - [c9]Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu:
How Bad is Top-K Recommendation under Competing Content Creators? ICML 2023: 39674-39701 - [c8]Fan Yao, Chuanhao Li, Karthik Abinav Sankararaman, Yiming Liao, Yan Zhu, Qifan Wang, Hongning Wang, Haifeng Xu:
Rethinking Incentives in Recommender Systems: Are Monotone Rewards Always Beneficial? NeurIPS 2023 - [c7]Mingzhe Wu, Fan Yao, Hongning Wang:
An End-to-End Solution for Spatial Inference in Smart Buildings. BuildSys 2023: 110-119 - [i8]Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu:
How Bad is Top-K Recommendation under Competing Content Creators? CoRR abs/2302.01971 (2023) - [i7]Fan Yao, Chuanhao Li, Karthik Abinav Sankararaman, Yiming Liao, Yan Zhu, Qifan Wang, Hongning Wang, Haifeng Xu:
Rethinking Incentives in Recommender Systems: Are Monotone Rewards Always Beneficial? CoRR abs/2306.07893 (2023) - [i6]Erdem Biyik, Fan Yao, Yinlam Chow, Alex Haig, Chih-Wei Hsu, Mohammad Ghavamzadeh, Craig Boutilier:
Preference Elicitation with Soft Attributes in Interactive Recommendation. CoRR abs/2311.02085 (2023) - 2022
- [c6]Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu:
Learning the Optimal Recommendation from Explorative Users. AAAI 2022: 9457-9465 - [c5]Jibang Wu, Haifeng Xu, Fan Yao:
Multi-Agent Learning for Iterative Dominance Elimination: Formal Barriers and New Algorithms. COLT 2022: 543 - [c4]Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu:
Learning from a Learning User for Optimal Recommendations. ICML 2022: 25382-25406 - [c3]Haiying Shen, Fan Yao, Tanmoy Sen, Gustavo Moreira, Ankur Sarker:
Query-Efficient and Imperceptible Attacks on Multivariate Time Series DNN Models. IFIP Networking 2022: 1-9 - [i5]Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu:
Learning from a Learning User for Optimal Recommendations. CoRR abs/2202.01879 (2022) - 2021
- [c2]Ravi Sundaram, Anil Vullikanti, Haifeng Xu, Fan Yao:
PAC-Learning for Strategic Classification. ICML 2021: 9978-9988 - [i4]Fan Yao, Renqin Cai, Hongning Wang:
Reversible Action Design for Combinatorial Optimization with Reinforcement Learning. CoRR abs/2102.07210 (2021) - [i3]Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu:
Learning the Optimal Recommendation from Explorative Users. CoRR abs/2110.03068 (2021) - [i2]Jibang Wu, Haifeng Xu, Fan Yao:
Multi-Agent Learning for Iterative Dominance Elimination: Formal Barriers and New Algorithms. CoRR abs/2111.05486 (2021) - 2020
- [c1]Ankur Sarker, Fan Yao, Haiying Shen, Huiying Zhao, Haoran Zhu, Haroon R. Lone, Laura Barnes, Brad Campbell, Mitchel Rosen:
Deep Learning Based Prediction Towards Designing A Smart Building Assistant System. MASS 2020: 202-210 - [i1]Ravi Sundaram, Anil Vullikanti, Haifeng Xu, Fan Yao:
PAC-Learning for Strategic Classification. CoRR abs/2012.03310 (2020)
Coauthor Index
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