Ryan Shi

I am a first-year PhD student in Societal Computing in the School of Computer Science at Carnegie Mellon University. I am very fortunate to be advised by Prof. Fei Fang. Prior to CMU, I graduated from Swarthmore College with a B.A. in Mathematics and Computer Science. My CV can be found here.

Current research

I work on building AI for immediate and measurable social good.

A few exciting projects going on! Stay tuned, or shoot me an email at ryanshi[attt]cmu[dottt]edu!

Publications from past research

Draining the Water Hole: Mitigating Social Engineering Attacks
Zheyuan Ryan Shi, Aaron Schlenker, Brian Hay, and Fei Fang
Working paper, 2019.

Learning and Planning in Feature Deception Games
Zheyuan Ryan Shi, Ariel D. Procaccia, Kevin S. Chan, Sridhar Venkatesan, Noam Ben-Asher, Nandi O. Leslie, Charles Kamhoua, and Fei Fang
Working paper, 2019.

Deep Reinforcement Learning for Green Security Games with Real-Time Information
Yufei Wang, Zheyuan Ryan Shi, Lantao Yu, Yi Wu, Rohit Singh, Lucas Joppa, and Fei Fang
In AAAI-19: the Thirty-Third AAAI Conference on Artificial Intelligence
[Abstract][full version] [AAAI version and source code to be available soon]

Designing the Game to Play: Optimizing Payoff Structure in Security Games
Zheyuan Ryan Shi*, Ziye Tang*, Long Tran-Thanh, Rohit Singh, and Fei Fang
In IJCAI-ECAI-18: the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence.
[Abstract] [IJCAI version] [full version] [source code]

Optimizing Peer Teaching to Enhance Team Performance
Zheyuan Ryan Shi and Fei Fang
In TEAMAS-17: First International Workshop on Teams in Multiagent Systems, at AAMAS-17
In Autonomous Agents and Multiagent Systems: AAMAS 2017 Workshops, Best Papers, Springer.
Winner of Best Paper
[Abstract] [Springer version]

Strategic Reporting in Exponential Family Prediction Markets
Zheyuan Ryan Shi and Sindhu Kutty
In URTC-16: 2016 MIT IEEE Undergraduate Research Technology Conference
[Abstract] [IEEE version]