Publications

2026

A Deployment Study of a Data-Driven Volunteer Engagement System for Food Security

Zheyuan Ryan Shi, Rayid Ghani, Fei Fang
IJAA: INFORMS Journal on Applied Analytics 2026

MMBERT: Scaled Mixture-of-Experts Multimodal BERT for Robust Chinese Hate Speech Detection under Cloaking Perturbations

Qiyao Xue, Yuchen Dou, Zheyuan Ryan Shi, Xiang Lorraine Li, Wei Gao
AAAI: AAAI Conference on Artificial Intelligence 2026

RescueLens: LLM-Powered Triage and Action on Volunteer Feedback for Food Rescue

Naveen Janaki Raman, Jingwu Tang, Zhiyu Chen, Zheyuan Ryan Shi, Sean Hudson, Ameesh Kapoor, Fei Fang
AIMag: AI Magazine 2026

Extended version of the IAAI-26 paper.

RescueLens: LLM-Powered Triage and Action on Volunteer Feedback for Food Rescue

Naveen Janaki Raman, Jingwu Tang, Zhiyu Chen, Zheyuan Ryan Shi, Sean Hudson, Ameesh Kapoor, Fei Fang
IAAI: Conference on Innovative Applications of Artificial Intelligence 2026

Script Gap: Evaluating LLM Triage on Indian Languages in Native vs Roman Scripts in a Real World Setting

Manurag Khullar, Utkarsh Desai, Poorva Malviya, Aman Dalmia, Zheyuan Ryan Shi
EMNLP: Conference on Empirical Methods in Natural Language Processing 2026

2025

Towards Automated Scoping of AI for Social Good Projects

Jacob Emmerson, Rayid Ghani, Zheyuan Ryan Shi
ArXiv: 2504.20010 2025

Context-Guided Churn Prediction: Explainable Farmer Engagement in Agricultural Chatbots

Yuchen Dou, Modhumonty Das, Jona Repishti, Sai Gole, Lorraine Li, Fei Fang, Zheyuan Ryan Shi
Preprint 2025

Contextual Budget Allocation in Restless Multi-armed Bandits

Ariana Tang, Naveen Raman, Fei Fang, Zheyuan Ryan Shi
ArXiv: 2509.10777 2025

Resolving UnderEdit & OverEdit with Iterative & Neighbor-Assisted Model Editing

Bhiman Kumar Baghel, Scott M. Jordan, Zheyuan Ryan Shi, Xiang Lorraine Li
EMNLP: Conference on Empirical Methods in Natural Language Processing 2025

2024

Where It Really Matters: Few-Shot Environmental Conservation Media Monitoring for Low-Resource Languages

Sameer Jain, Sedrick Scott Keh, Shova Chhetri, Karun Dewan, Pablo Izquierdo, Johanna Prussmann, Pooja Shrestha, César Suárez, Zheyuan Ryan Shi, Lei Li, Fei Fang
AAAI: AAAI Conference on Artificial Intelligence 2024

Interpretable Multi-Agent Reinforcement Learning with Decision-Tree Policies

Stephanie Milani, Zhicheng Zhang, Nicholay Topin, Zheyuan Ryan Shi, Charles Kamhoua, Evangelos E. Papalexakis, Fei Fang
Book Chapter: Explainable Agency in Artificial Intelligence (CRC Press / Taylor & Francis) 2024

Global Rewards in Restless Multi-Armed Bandits

Naveen Raman, Zheyuan Ryan Shi, Fei Fang
NeurIPS: Annual Conference on Neural Information Processing Systems 2024

Predicting and Presenting Task Difficulty for Crowdsourcing Food Rescue Platforms

Zheyuan Ryan Shi, Jiayin Zhi, Siqi Zeng, Zhicheng Zhang, Ameesh Kapoor, Sean Hudson, Hong Shen, Fei Fang
WWW: The ACM Web Conference 2024

2023

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: Conference on Innovative Applications of Artificial Intelligence 2023

* Equal contribution.

2022

AI for Food Rescue

Zheyuan Ryan Shi, Yiwen Yuan, Kimberly Lo, Ameesh Kapoor, Anthony Levin-Decanini, Sean Hudson, Jake Tepperman, Leah Lizarondo, Fei Fang
Book Chapter: AI for Social Impact (eds. Tambe, Fang, Wilder) 2022

Bandit Data-Driven Optimization

Zheyuan Ryan Shi, Zhiwei Steven Wu, Rayid Ghani, Fei Fang
AAAI: AAAI Conference on Artificial Intelligence 2022

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
ECML PKDD: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2022

2021

AI for Social Good: Between My Research and the Real World

AAAI DC: AAAI Conference on Artificial Intelligence, Doctoral Consortium 2021

A Recommender System for Crowdsourcing Food Rescue Platforms

Zheyuan Ryan Shi, Leah Lizarondo, Fei Fang
WWW: The ACM Web Conference 2021

Part of a book chapter in AI for Social Impact.

Pallet Estimation for Food Bank Logistics Management

Alison Hau, Fei Fang, Zheyuan Ryan Shi
COMPASS: ACM SIGCAS Conference on Computing and Sustainable Societies (Poster) 2021

2020

Artificial Intelligence for Social Good: A Survey

Zheyuan Ryan Shi, Claire Wang, Fei Fang
ArXiv: 2001.01818 2020

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: Conference on Innovative Applications of Artificial Intelligence 2020

Available as a Chrome extension at bit.ly/CyberTWEAK.

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: Conference on Decision and Game Theory for Security 2020

Improving Efficiency of Volunteer-Based Food Rescue Operations

Zheyuan Ryan Shi*, Yiwen Yuan*, Kimberly Lo, Leah Lizarondo, Fei Fang
IAAI: Conference on Innovative Applications of Artificial Intelligence 2020

* Equal contribution.

Approximated Temporal-Induced Neural Self-Play for Finitely Repeated Bayesian Games

Zihan Zhou, Zheyuan Ryan Shi, Fei Fang, Yi Wu
RLG@AAAI: Reinforcement Learning in Games Workshop at AAAI 2020

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, Fei Fang
AAAI: AAAI Conference on Artificial Intelligence 2019

Selected for oral presentation.

2018

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: International Joint Conference on Artificial Intelligence 2018

* Equal contribution.

Social Bayesian Decision Making

Dhaval Adjodah, Yan Leng, Shi Kai Chong, Zheyuan Ryan Shi, Peter Krafft, Alejandro Noriega, Sandy Pentland
CISS: Conference on Information Sciences and Systems 2018

2017

Optimizing Peer Teaching to Enhance Team Performance

AAMAS Workshops: International Conference on Autonomous Agents and Multiagent Systems, Best Papers Volume (LNAI 10642, Springer) 2017
Best Paper, TEAMAS-17

2016

Strategic Reporting in Exponential Family Prediction Markets

Zheyuan Ryan Shi, Sindhu Kutty
IEEE URTC: MIT IEEE Undergraduate Research Technology Conference 2016