Fang-Yi Yu

52 papers A* 18A 6Journal 21Unranked 6
YearRankTypeTitle / Venue / Authors
2026 A* conf
Optimally Auditing Adversarial Agents.
AAAI
Sanmay Das, Fang-Yi Yu, Yuang Zhang
2025 A* conf
Algorithmic Robust Forecast Aggregation.
EC
Yongkang Guo, Jason D. Hartline, Zhihuan Huang, Yuqing Kong, Anant Shah, Fang-Yi Yu
2025 J jnl
Data Reliability Scoring.
CoRR
Yiling Chen, Shi Feng, Paul Kattuman, Fang-Yi Yu
2025 A* conf
Designing Automated Market Makers for Combinatorial Securities: A Geometric Viewpoint.
SODA
Prommy Sultana Hossain, Xintong Wang, Fang-Yi Yu
2025 — conf
Hardness and Approximation Algorithms for Balanced Districting Problems.
FORC
Prathamesh Dharangutte, Jie Gao, Shang-En Huang, Fang-Yi Yu
2025 J jnl
Hardness and Approximation Algorithms for Balanced Districting Problems.
CoRR
Prathamesh Dharangutte, Jie Gao, Shang-En Huang, Fang-Yi Yu
2024 J jnl
Algorithmic Robust Forecast Aggregation.
CoRR
Yongkang Guo, Jason D. Hartline, Zhihuan Huang, Yuqing Kong, Anant Shah, Fang-Yi Yu
2024 A* conf
Carrot and Stick: Eliciting Comparison Data and Beyond.
NeurIPS
Yiling Chen, Shi Feng, Fang-Yi Yu
2024 J jnl
Carrot and Stick: Eliciting Comparison Data and Beyond.
CoRR
Yiling Chen, Shi Feng, Fang-Yi Yu
2024 J jnl
Designing Automated Market Makers for Combinatorial Securities: A Geometric Viewpoint.
CoRR
Prommy Sultana Hossain, Xintong Wang, Fang-Yi Yu
2024 — conf
Optimal Scoring Rule Design under Partial Knowledge.
WINE
Yiling Chen, Fang-Yi Yu
2023 J jnl
A System-Level Analysis of Conference Peer Review.
CoRR
Yichi Zhang, Fang-Yi Yu, Grant Schoenebeck, David Kempe
2023 A conf
Differentially Private Network Data Collection for Influence Maximization.
AAMAS
M. Amin Rahimian, Fang-Yi Yu, Carlos Hurtado
2023 A* conf
Integer Subspace Differential Privacy.
AAAI
Prathamesh Dharangutte, Jie Gao, Ruobin Gong, Fang-Yi Yu
2023 A* conf
Multi-agent Performative Prediction: From Global Stability and Optimality to Chaos.
EC
Georgios Piliouras, Fang-Yi Yu
2023 J jnl
Seeding with Differentially Private Network Information.
CoRR
M. Amin Rahimian, Fang-Yi Yu, Carlos Hurtado
2022 A* conf
A System-Level Analysis of Conference Peer Review.
EC
Yichi Zhang, Fang-Yi Yu, Grant Schoenebeck, David Kempe
2022 J jnl
Integer Subspace Differential Privacy.
CoRR
Prathamesh Dharangutte, Jie Gao, Ruobin Gong, Fang-Yi Yu
2022 J jnl
Multi-agent Performative Prediction: From Global Stability and Optimality to Chaos.
CoRR
Georgios Piliouras, Fang-Yi Yu
2022 A conf
Optimal Local Bayesian Differential Privacy over Markov Chains.
AAMAS
Darshan Chakrabarti, Jie Gao, Aditya Saraf, Grant Schoenebeck, Fang-Yi Yu
2022 J jnl
Optimal Local Bayesian Differential Privacy over Markov Chains.
CoRR
Darshan Chakrabarti, Jie Gao, Aditya Saraf, Grant Schoenebeck, Fang-Yi Yu
2022 A* conf
Peer Prediction for Learning Agents.
NeurIPS
Shi Feng, Fang-Yi Yu, Yiling Chen
2022 J jnl
Peer Prediction for Learning Agents.
CoRR
Shi Feng, Fang-Yi Yu, Yiling Chen
2022 A* conf
Subspace Differential Privacy.
AAAI
Jie Gao, Ruobin Gong, Fang-Yi Yu
2022 J jnl
Think globally, act locally: On the optimal seeding for nonsubmodular influence maximization.
Inf. Comput.
Grant Schoenebeck, Biaoshuai Tao, Fang-Yi Yu
2022 J jnl
Two Strongly Truthful Mechanisms for Three Heterogeneous Agents Answering One Question.
ACM Trans. Economics and Comput.
Grant Schoenebeck, Fang-Yi Yu
2021 A* conf
Cooperation in Threshold Public Projects with Binary Actions.
IJCAI
Yiling Chen, Biaoshuai Tao, Fang-Yi Yu
2021 J jnl
Cooperation in Threshold Public Projects with Binary Actions.
CoRR
Yiling Chen, Biaoshuai Tao, Fang-Yi Yu
2021 A* conf
Information Elicitation from Rowdy Crowds.
WWW
Grant Schoenebeck, Fang-Yi Yu, Yichi Zhang
2021 A conf
Learning and Strongly Truthful Multi-Task Peer Prediction: A Variational Approach.
ITCS
Grant Schoenebeck, Fang-Yi Yu
2021 J jnl
Optimal Scoring Rule Design.
CoRR
Yiling Chen, Fang-Yi Yu
2021 J jnl
Subspace Differential Privacy.
CoRR
Jie Gao, Ruobin Gong, Fang-Yi Yu
2021 A* conf
The Limits of Multi-task Peer Prediction.
EC
Shuran Zheng, Fang-Yi Yu, Yiling Chen
2021 J jnl
The Limits of Multi-task Peer Prediction.
CoRR
Shuran Zheng, Fang-Yi Yu, Yiling Chen
2021 A conf
Timely Information from Prediction Markets.
AAMAS
Grant Schoenebeck, Chenkai Yu, Fang-Yi Yu
2020 A* conf
Escaping Saddle Points in Constant Dimensional Spaces: An Agent-based Modeling Perspective.
EC
Grant Schoenebeck, Fang-Yi Yu
2020 A* conf
Information Elicitation Mechanisms for Statistical Estimation.
AAAI
Yuqing Kong, Grant Schoenebeck, Biaoshuai Tao, Fang-Yi Yu
2020 J jnl
Learning and Strongly Truthful Multi-Task Peer Prediction: A Variational Approach.
CoRR
Grant Schoenebeck, Fang-Yi Yu
2020 A conf
Limitations of Greed: Influence Maximization in Undirected Networks Re-visited.
AAMAS
Grant Schoenebeck, Biaoshuai Tao, Fang-Yi Yu
2020 J jnl
Limitations of Greed: Influence Maximization in Undirected Networks Re-visited.
CoRR
Grant Schoenebeck, Biaoshuai Tao, Fang-Yi Yu
2020 J jnl
Think Globally, Act Locally: On the Optimal Seeding for Nonsubmodular Influence Maximization.
CoRR
Grant Schoenebeck, Biaoshuai Tao, Fang-Yi Yu
2020 J jnl
Timely Information from Prediction Markets.
CoRR
Grant Schoenebeck, Chenkai Yu, Fang-Yi Yu
2020 — conf
Two Strongly Truthful Mechanisms for Three Heterogeneous Agents Answering One Question.
WINE
Grant Schoenebeck, Fang-Yi Yu
2019 — —
Dynamics and Social Networks.
Fang-Yi Yu
2019 A conf
The Volatility of Weak Ties: Co-evolution of Selection and Influence in Social Networks.
AAMAS
Jie Gao, Grant Schoenebeck, Fang-Yi Yu
2019 — conf
Think Globally, Act Locally: On the Optimal Seeding for Nonsubmodular Influence Maximization.
APPROX-RANDOM
Grant Schoenebeck, Biaoshuai Tao, Fang-Yi Yu
2018 A* conf
Consensus of Interacting Particle Systems on Erdös-Rényi Graphs.
SODA
Grant Schoenebeck, Fang-Yi Yu
2017 — conf
Cascades and Myopic Routing in Nonhomogeneous Kleinberg's Small World Model.
WINE
Jie Gao, Grant Schoenebeck, Fang-Yi Yu
2017 A* conf
Engineering Agreement: The Naming Game with Asymmetric and Heterogeneous Agents.
AAAI
Jie Gao, Bo Li, Grant Schoenebeck, Fang-Yi Yu
2016 — conf
Complex Contagions on Configuration Model Graphs with a Power-Law Degree Distribution.
WINE
Grant Schoenebeck, Fang-Yi Yu
2016 A* conf
General Threshold Model for Social Cascades: Analysis and Simulations.
EC
Jie Gao, Golnaz Ghasemiesfeh, Grant Schoenebeck, Fang-Yi Yu
2016 A* conf
Sybil Detection Using Latent Network Structure.
EC
Grant Schoenebeck, Aaron Snook, Fang-Yi Yu