| 2026 | WWW | Aggregating Information and Preferences under Different Coordination Ability. | Qishen Han, Grant Schoenebeck, Biaoshuai Tao, Lirong Xia |
| 2026 | WWW | The Art of Two-Round Voting. | Qishen Han, Grant Schoenebeck, Biaoshuai Tao, Lirong Xia |
| 2025 | ICLR | Benchmarking LLMs' Judgments with No Gold Standard. | Shengwei Xu, Yuxuan Lu, Grant Schoenebeck, Yuqing Kong |
| 2025 | RecSys | Recommendation and Temptation. | Md Sanzeed Anwar, Paramveer S. Dhillon, Grant Schoenebeck |
| 2025 | WWW | Strong Equilibria in Bayesian Games with Bounded Group Size. | Qishen Han, Grant Schoenebeck, Biaoshuai Tao, Lirong Xia |
| 2024 | AAAI | Eliciting Honest Information from Authors Using Sequential Review. | Yichi Zhang, Grant Schoenebeck, Weijie Su |
| 2024 | WWW | Filter Bubble or Homogenization? Disentangling the Long-Term Effects of Recommendations on User Consumption Patterns. | Md Sanzeed Anwar, Grant Schoenebeck, Paramveer S. Dhillon |
| 2024 | WWW | Exit Ripple Effects: Understanding the Disruption of Socialization Networks Following Employee Departures. | David Gamba, Yulin Yu, Yuan Yuan, Grant Schoenebeck, Daniel M. Romero |
| 2024 | WWW | Spot Check Equivalence: An Interpretable Metric for Information Elicitation Mechanisms. | Shengwei Xu, Yichi Zhang, Paul Resnick, Grant Schoenebeck |
| 2023 | WWW | Multitask Peer Prediction With Task-dependent Strategies. | Yichi Zhang, Grant Schoenebeck |
| 2023 | WWW | High-Effort Crowds: Limited Liability via Tournaments. | Yichi Zhang, Grant Schoenebeck |
| 2023 | UAI | Testing conventional wisdom (of the crowd). | Noah Burrell, Grant Schoenebeck |
| 2022 | WWW | BONUS! Maximizing Surprise. | Zhihuan Huang, Yuqing Kong, Tracy Xiao Liu, Grant Schoenebeck, Shengwei Xu |
| 2021 | IJCAI | SURPRISE! and When to Schedule It. | Zhihuan Huang, Shengwei Xu, You Shan, Yuxuan Lu, Yuqing Kong, Tracy Xiao Liu, Grant Schoenebeck |
| 2021 | WWW | Information Elicitation from Rowdy Crowds. | Grant Schoenebeck, Fang-Yi Yu, Yichi Zhang |
| 2020 | AAAI | Adaptive Greedy versus Non-Adaptive Greedy for Influence Maximization. | Wei Chen, Binghui Peng, Grant Schoenebeck, Biaoshuai Tao |
| 2020 | AAAI | Information Elicitation Mechanisms for Statistical Estimation. | Yuqing Kong, Grant Schoenebeck, Biaoshuai Tao, Fang-Yi Yu |
| 2019 | EC | Influence Maximization on Undirected Graphs: Towards Closing the (1-1/e) Gap. | Grant Schoenebeck, Biaoshuai Tao |
| 2018 | ICLR | Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality. | Xingjun Ma, Bo Li, Yisen Wang, Sarah M. Erfani, Sudanthi N. R. Wijewickrema, Grant Schoenebeck, Dawn Song, Michael E. Houle, James Bailey |
| 2018 | SODA | Consensus of Interacting Particle Systems on Erds-Rnyi Graphs. | Grant Schoenebeck, Fang-Yi Yu |
| 2017 | AAAI | Engineering Agreement: The Naming Game with Asymmetric and Heterogeneous Agents. | Jie Gao, Bo Li, Grant Schoenebeck, Fang-Yi Yu |
| 2017 | SIGMOD | A Top-Down Approach to Achieving Performance Predictability in Database Systems. | Jiamin Huang, Barzan Mozafari, Grant Schoenebeck, Thomas F. Wenisch |
| 2014 | SODA | Better Approximation Algorithms for the Graph Diameter. | Shiri Chechik, Daniel H. Larkin, Liam Roditty, Grant Schoenebeck, Robert Endre Tarjan, Virginia Vassilevska Williams |
| 2013 | WWW | Potential networks, contagious communities, and understanding social network structure. | Grant Schoenebeck |
| 2011 | TCC | General Hardness Amplification of Predicates and Puzzles - (Extended Abstract). | Thomas Holenstein, Grant Schoenebeck |
| 2010 | FOCS | Optimal Testing of Reed-Muller Codes. | Arnab Bhattacharyya, Swastik Kopparty, Grant Schoenebeck, Madhu Sudan, David Zuckerman |
| 2009 | SODA | On the complexity of Nash equilibria of action-graph games. | Constantinos Daskalakis, Grant Schoenebeck, Gregory Valiant, Paul Valiant |
| 2008 | FOCS | Linear Level Lasserre Lower Bounds for Certain k-CSPs. | Grant Schoenebeck |
| 2007 | STOC | Tight integrality gaps for Lovasz-Schrijver LP relaxations of vertex cover and max cut. | Grant Schoenebeck, Luca Trevisan, Madhur Tulsiani |
| 2004 | AAAI | GROWRANGE: Anytime VCG-Based Mechanisms. | David C. Parkes, Grant Schoenebeck |