Ryan Shi

I research AI for nonprofits, with nonprofits, so that it could be used by nonprofits.

Fei Fang makes this possible.

[Bio] [What is your research, exactly?] [Overview Talk] [CV]

I don’t usually post this. But yes, I am on the job market this year.

[December 2022] Visiting two universities

[November 2022] Attending the Rising Stars in Data Science workshop at the University of Chicago

[November 2022] Attending the Symposium on Frontiers of ML and AI at the University of Southern California

[October 2022] Presenting at INFORMS

Good work trumps all. Make every one count.

NewsPanda: Media Monitoring for Timely Conservation Action
Sedrick Scott Keh*, Zheyuan Ryan Shi*, David J. Patterson, Nirmal Bhagabati, Karun Dewan, Areendran Gopala, Pablo Izquierdo, Debojyoti Mallick, Ambika Sharma, Pooja Shrestha, Fei Fang
IAAI-23: 35th Annual Conference on Innovative Applications of Artificial Intelligence
Deployed @World Wildlife Fund
[Abstract][Preliminary version]

Bandit Data-Driven Optimization
Zheyuan Ryan Shi, Zhiwei Steven Wu, Rayid Ghani, Fei Fang
AAAI-22: the 36th AAAI Conference on Artificial Intelligence
To be presented @INFORMS-22
[Abstract][Full version][Source code]

A Recommender System for Crowdsourcing Food Rescue Platforms
Zheyuan Ryan Shi, Leah Lizarondo, Fei Fang
WWW-21: The 30th Web Conference
Part of book chapter in AI for Social Impact
Extended version with RCT results submitted to Management Science
RCT'ed @412 Food Rescue
[Abstract][WWW version]

Improving Efficiency of Volunteer-Based Food Rescue Operations
Zheyuan Ryan Shi*, Yiwen Yuan*, Kimberly Lo, Leah Lizarondo, Fei Fang
IAAI-20: 32nd Annual Conference on Innovative Applications of Artificial Intelligence
Part of book chapter in AI for Social Impact
Deployed @412 Food Rescue
[Abstract][IAAI version]

Artificial Intelligence for Social Good: A Survey
Zheyuan Ryan Shi, Claire Wang, Fei Fang
Update pending, 2019.
[Abstract][Initial version]

I’m interested in a bunch of stuff. I just don’t get to do them as often these days.

MAVIPER: Learning Decision Tree Policies for Interpretable Multi-Agent Reinforcement Learning
Stephanie Milani, Zhicheng Zhang, Nicholay Topin, Zheyuan Ryan Shi, Charles Kamhoua, Evangelos E Papalexakis, Fei Fang
ECMLPKDD-22: the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
[Abstract][full version]

Pallet Estimation for Food Bank Logistics Management
Alison Hau, Fei Fang, Zheyuan Ryan Shi
COMPASS-21: the 4th ACM SIGCAS Conference on Computing and Sustainable Societies, Poster
First last-author project
[Abstract][COMPASS version]

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, Fei Fang
IAAI-20: 32nd Annual Conference on Innovative Applications of Artificial Intelligence
Software @Chrome Web Store
[Abstract][IAAI version][full version]

Learning and Planning in the Feature Deception Problem
Zheyuan Ryan Shi, Ariel D. Procaccia, Kevin S. Chan, Sridhar Venkatesan, Noam Ben-Asher, Nandi O. Leslie, Charles Kamhoua, Fei Fang
GameSec-20: the 11th Conference on Decision and Game Theory for Security
[Abstract][full version]

Deep Reinforcement Learning for Green Security Games with Real-Time Information
Yufei Wang, Zheyuan Ryan Shi, Lantao Yu, Yi Wu, Rohit Singh, Lucas Joppa, Fei Fang
AAAI-19: the 33rd 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, 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, 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, Sindhu Kutty
URTC-16: 2016 MIT IEEE Undergraduate Research Technology Conference
[Abstract] [IEEE version]