Fang-Yi Yu

Assistant Professor at Psychology, George Mason University0 Followers

Fang-Yi Yu is an Assistant Professor in the field of advanced computational sciences, with a focus on Machine Learning, Natural Language Processing, and Computer Vision. Based in Fairfax, VA, Fang-Yi Yu is associated with a research-intensive environment where they contribute to the development and application of cutting-edge technologies. Their work involves exploring innovative algorithms and models that enhance the understanding and processing of human language and visual data. Fang-Yi Yu is passionate about bridging the gap between theoretical research and practical applications, aiming to make significant impacts in the tech industry and academia. Through collaborations and publications, they strive to advance the field and inspire the next generation of researchers.

Research Interests

Machine Learning Natural Language Processing Computer Vision Advanced Computational Sciences Innovative Algorithms Human Language Understanding Visual Data Processing Theoretical Research Practical Applications Tech Industry Impact

Publications

1 - Two Strongly Truthful Mechanisms for Three Heterogeneous Agents Answering One Question,ACM Transactions on Economics and Computation

Grant Schoenebeck , Fang-Yi Yu ,

, 1-26, 2022-12-31

2 - Information Elicitation Mechanisms for Statistical Estimation,Proceedings of the AAAI Conference on Artificial Intelligence

Yuqing Kong , Grant Schoenebeck , Biaoshuai Tao , Fang-Yi Yu ,

, 2095-2102, 2020-04-03

3 - Integer Subspace Differential Privacy,Proceedings of the AAAI Conference on Artificial Intelligence

Prathamesh Dharangutte , Jie Gao , Ruobin Gong , Fang-Yi Yu ,

, 7349-7357, 2023-06-26

4 - Engineering Agreement: The Naming Game with Asymmetric and Heterogeneous Agents,Proceedings of the AAAI Conference on Artificial Intelligence

Jie Gao , Bo Li , Grant Schoenebeck , Fang-Yi Yu ,

, 2017-02-10

5 - Cooperation in Threshold Public Projects with Binary Actions,Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence

Yiling Chen , Biaoshuai Tao , Fang-Yi Yu ,

, 104-110, 2021-08-01

6 - Escaping Saddle Points in Constant Dimensional Spaces: An Agent-based Modeling Perspective,Proceedings of the 21st ACM Conference on Economics and Computation

Grant Schoenebeck , Fang-Yi Yu ,

, 49-67, 2020-07-13

7 - Two Strongly Truthful Mechanisms for Three Heterogeneous Agents Answering One Question,Lecture Notes in Computer Science

Grant Schoenebeck , Fang-Yi Yu ,

, 119-132, 2020-01-01

8 - Complex Contagions on Configuration Model Graphs with a Power-Law Degree Distribution,Lecture Notes in Computer Science

Grant Schoenebeck , Fang-Yi Yu ,

, 459-472, 2016-01-01

9 - Multi-agent Performative Prediction: From Global Stability and Optimality to Chaos,Proceedings of the 24th ACM Conference on Economics and Computation

Georgios Piliouras , Fang-Yi Yu ,

, 1047-1074, 2023-07-07

10 - Consensus of Interacting Particle Systems on Erdös-Rényi Graphs,Proceedings of the Twenty-Ninth Annual ACM-SIAM Symposium on Discrete Algorithms

Grant Schoenebeck , Fang-Yi Yu ,

, 1945-1964, 2018-01-01

11 - Information Elicitation from Rowdy Crowds,Proceedings of the Web Conference 2021

Grant Schoenebeck , Fang-Yi Yu , Yichi Zhang ,

, 3974-3986, 2021-04-19

12 - Cascades and Myopic Routing in Nonhomogeneous Kleinberg’s Small World Model,Lecture Notes in Computer Science

Jie Gao , Grant Schoenebeck , Fang-Yi Yu ,

, 383-394, 2017-01-01

13 - Sybil Detection Using Latent Network Structure,Proceedings of the 2016 ACM Conference on Economics and Computation

Grant Schoenebeck , Aaron Snook , Fang-Yi Yu ,

, 739-756, 2016-07-21

14 - Think globally, act locally: On the optimal seeding for nonsubmodular influence maximization,Information and Computation

Grant Schoenebeck , Biaoshuai Tao , Fang-Yi Yu ,

, 104919, 2022-05-01

15 - The Limits of Multi-task Peer Prediction,Proceedings of the 22nd ACM Conference on Economics and Computation

Shuran Zheng , Fang-Yi Yu , Yiling Chen ,

, 907-926, 2021-07-18

16 - General Threshold Model for Social Cascades,Proceedings of the 2016 ACM Conference on Economics and Computation

Jie Gao , Golnaz Ghasemiesfeh , Grant Schoenebeck , Fang-Yi Yu ,

, 617-634, 2016-07-21

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