I am a postdoctoral fellow at Harvard John A. Paulson School of Engineering and Applied Sciences hosted by Yiling Chen.
I received my Ph.D. degree in Computer Science and Engineering Division from the University of Michigan advised by Grant Schoenebeck.
Theoretical computer science, social networks, dynamical systems, and economics and game theory
Information Elicitation from Rowdy Crowds
Timely Information from Prediction Markets
Learning and Strongly Truthful Multi-Task Peer Prediction: A Variational Approach
Two Strongly Truthful Mechanisms for Three Heterogeneous Agents Answering One Question
Escaping Saddle Points in Constant Dimensional Spaces: an Agent-based Modeling Perspective
Limitations of Greed: Influence Maximization in Undirected Networks Re-visited
Information Elicitation Mechanisms for Statistical Estimation
Think Globally, Act Locally: On the Optimal Seeding for Nonsubmodular Influence Maximization
The Volatility of Weak Ties: Co-evolution of Selection and Influence in Social Networks
Consensus of Interacting Particle Systems on Erdös-Rényi Graphs
Cascades and Myopic Routing in Nonhomogeneous Kleinberg’s Small World Model
Engineering Agreement: The Naming Game with Asymmetric and Heterogeneous Agents
Complex Contagions on Configuration Model Graphs with a Power-Law Degree Distribution
Sybil Detection Using Latent Network Structure
General Threshold Model for Social Cascades: Analysis and Simulations
Research Interests
Publications
Grant Schoenebeck, Fang-Yi Yu, Yichi Zhang.
The 30th Web Conference (WWW 2021).
Grant Schoenebeck, Chenkai Yu, Fang-Yi Yu.
The 20th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2021).
Grant Schoenebeck, Fang-Yi Yu.
The 12th Innovations in Theoretical Computer Science Conference (ITCS 2021). [poster]
Grant Schoenebeck, Fang-Yi Yu.
The 16th International Conference on Web and Internet Economics (WINE 2020). [slides, poster, video]
Grant Schoenebeck, Fang-Yi Yu.
The 21st ACM Conference on Economics and Computation (EC 2020). [slides, short slides, poster, video]
Grant Schoenebeck, B. Tao, Fang-Yi Yu.
The 19th International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS 2020).
Y. Kong, Grant Schoenebeck, B. Tao, Fang-Yi Yu.
The 34th International Conference on Artificial Intelligence (AAAI 2020). [poster]
Grant Schoenebeck, B. Tao, Fang-Yi Yu.
The 23th International Conference on Randomization and Computation (RANDOM 2019). [slides]
Jie Gao, Grant Schoenebeck, Fang-Yi Yu.
The 18th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2019). [slides]
Grant Schoenebeck, Fang-Yi Yu.
The 29th Annual ACM-SIAM Symposium on Discrete Algorithms (SODA 2018). [slides]
Jie Gao, Grant Schoenebeck, Fang-Yi Yu.
The 13th International Conference on Web and Internet Economics (WINE 2017). [slides]
Jie Gao, Bo Li, Grant Schoenebeck, Fang-Yi Yu.
The 30th International Conference on Artificial Intelligence (AAAI 2017). [slides]
Grant Schoenebeck, Fang-Yi Yu.
The 12th Conference on Web and Internet Economics (WINE 2016). [slides]
Aaron Snook, Grant Schoenebeck, Fang-Yi Yu.
The 17th ACM Conference on Economics and Computation (EC 2016). [slides]
Jie Gao, Golnaz Ghasemiesfeh, Grant Schoenebeck, Fang-Yi Yu.
The 17th ACM Conference on Economics and Computation (EC 2016). [slides]