Publications
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Explaining Data Mixing Scaling Laws
Rui Dai, Shuran Zheng
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Proper Dataset Valuation by Pointwise Mutual Information
Rui Ray Chen*, Xuan Qi*, Yuxin Chen, Yongchan Kwon, James Zou, Shuran Zheng
EC, 2026. arXiv
Previous version "Truthful Dataset Valuation by Pointwise Mutual Information" presented at ICML 2024 DMLR workshop.
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Bayesian Conversations
Renato Paes Leme, Jon Schneider, Heyang Shang, Shuran Zheng
Working paper. arXiv
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Inferentially-Private Private Information
Shuaiqi Wang*, Shuran Zheng*, Zinan Lin, Giulia Fanti, Steven Wu
WWW, 2025. DOI
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Differentially Private Bayesian Persuasion
Yuqi Pan, Steven Wu, Haifeng Xu, Shuran Zheng
WWW, 2025. arXiv
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Ex-post Individually Rational Bayesian Persuasion
Jiahao Zhang, Shuran Zheng, Renato Paes Leme, Steven Wu
WINE, 2024. arXiv
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Private Interdependent Valuations
Alon Eden, Kira Goldner, and Shuran Zheng
SODA, 2022. arXiv
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The Limits of Multi-task Peer Prediction
Shuran Zheng, Fang-Yi Yu, and Yiling Chen
EC, 2021. arXiv
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Optimal Advertising for Information Products
Shuran Zheng and Yiling Chen
EC, 2021. arXiv
Invited to the 2021 INFORMS Annual Meeting.
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Truthful Data Acquisition via Peer Prediction
Yiling Chen, Yiheng Shen, and Shuran Zheng
NeurIPS, 2020. arXiv
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Selling Information Through Consulting
Yiling Chen, Haifeng Xu, and Shuran Zheng
SODA, 2020. arXiv
Presented in ACM/INFORMS Workshop on Market Design 2019.
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Prior-free Data Acquisition for Accurate Statistical Estimation
Yiling Chen and Shuran Zheng
EC, 2019. arXiv
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Active Information Acquisition for Linear Optimization
Shuran Zheng, Bo Waggoner, Yang Liu, and Yiling Chen
UAI, 2018. arXiv
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Complexity and Algorithms of K-implementation
Yuan Deng, Pingzhong Tang, and Shuran Zheng
AAMAS, 2016. paper