Ryan Shi

I am a second-year PhD student in Societal Computing in the School of Computer Science at Carnegie Mellon University. I am very fortunate to work with Fei Fang. Prior to CMU, I graduated from Swarthmore College with a B.A. in Mathematics and Computer Science.

I work on building AI for immediate and measurable social good, with a special focus on the sustainable deployment and rigorous evaluation of AI that respects and assists human decision-making.

We are organizing the 2020 CMU Symposium on AI and Social Good, to be held on April 23-24, 2020. Please consider submitting!

Collaboration: I am enthusiastic about any project on using AI to address societal challenges. I am open to taking any role as appropriate. You may reach me at ryanshi[attt]cmu[dottt]edu.

Recent Projects

Artificial Intelligence for Social Good: A Survey

Artificial Intelligence for Social Good: A Survey
Zheyuan Ryan Shi, Claire Wang, Fei Fang
Working paper, 2020.
[Paper] [Website]

Data-driven Optimization of Volunteer-based Community Services

Improving Efficiency of Volunteer-Based Food Rescue Operations
Zheyuan Ryan Shi, Yiwen Yuan, Kimberly Lo, Leah Lizarondo, and Fei Fang
IAAI-20: the Thirty-Second Annual Conference on Innovative Applications of Artificial Intelligence
Deployment status: In process, with 412 Food Rescue. Get in touch if you’d like to work with us!

CyberTWEAK: Personalized Solution for Watering Hole Attacks

Draining the Water Hole: Mitigating Social Engineering Attacks with CyberTWEAK
Zheyuan Ryan Shi, Aaron Schlenker, Brian Hay, Daniel Bittleston, Siyu Gao, Emily Peterson, John Trezza, and Fei Fang
IAAI-20: the Thirty-Second Annual Conference on Innovative Applications of Artificial Intelligence
[Paper] [NEW! Chrome Extension now available!]
Deployment status: Chrome extension available, further development planned. Contact us if you’re interested!

Past Research

I used to study game theory and optimization, especially about models from computational sustainability and cybersecurity. I am still doing some research here to keep myself funded, so that I can work on all the projects above.

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
AAAI-19: the Thirty-Third AAAI Conference on Artificial Intelligence
[Abstract][AAAI version][full version] [source code] [slides]

Designing the Game to Play: Optimizing Payoff Structure in Security Games
Zheyuan Ryan Shi, Ziye Tang, Long Tran-Thanh, Rohit Singh, and Fei Fang
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] [slides]

Optimizing Peer Teaching to Enhance Team Performance
Zheyuan Ryan Shi and Fei Fang
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
URTC-16: 2016 MIT IEEE Undergraduate Research Technology Conference
[Abstract] [IEEE version]