Zheyuan Shi

According to our database, Zheyuan Shi authored at least 24 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Towards Automated Scoping of AI for Social Good Projects.

Jacob Emmerson, Rayid Ghani, Zheyuan Ryan Shi

CoRR, April, 2025

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

Bhiman Kumar Baghel, Scott M. Jordan, Zheyuan Ryan Shi, Xiang Lorraine Li

CoRR, March, 2025

Scalable, Sustainable, Generalizable, and Responsible AI for Public Sector.

Zheyuan Ryan Shi

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

An Automatic Sound and Complete Abstraction Method for Generalized Planning with Baggable Types.

Hao Dong, Zheyuan Shi, Hemeng Zeng, Yongmei Liu

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

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

Proceedings of the ACM on Web Conference 2024, 2024

Global Rewards in Restless Multi-Armed Bandits.

Naveen Raman, Zheyuan Shi, Fei Fang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

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

Sameer Jain, Sedrick Scott Keh, Shova Chettri, Karun Dewan, Pablo Izquierdo, Johanna Prussman, Pooja Shrestha, César Suárez, Zheyuan Ryan Shi, Lei Li, Fei Fang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Learning and Planning Towards AI for Social Good

Zheyuan Shi

PhD thesis, 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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

MAVIPER: Learning Decision Tree Policies for Interpretable Multi-agent Reinforcement Learning.

Stephanie Milani, Zhicheng Zhang, Nicholay Topin, Zheyuan Ryan Shi, Charles A. Kamhoua, Evangelos E. Papalexakis, Fei Fang

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Bandit Data-Driven Optimization for Crowdsourcing Food Rescue Platforms.

Zheyuan Ryan Shi, Zhiwei Steven Wu, Rayid Ghani, Fei Fang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

A Recommender System for Crowdsourcing Food Rescue Platforms.

Zheyuan Ryan Shi, Leah Lizarondo, Fei Fang

Proceedings of the WWW '21: The Web Conference 2021, 2021

Poster: Pallet Estimation for Food Bank Logistics Management.

Alison Hau, Fei Fang, Zheyuan Ryan Shi

Proceedings of the COMPASS '21: ACM SIGCAS Conference on Computing and Sustainable Societies, Virtual Event, Australia, 28 June 2021, 2021

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

Zheyuan Ryan Shi

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Bandit Data-driven Optimization: AI for Social Good and Beyond.

Zheyuan Ryan Shi, Zhiwei Steven Wu, Rayid Ghani, Fei Fang

CoRR, 2020

Artificial Intelligence for Social Good: A Survey.

Zheyuan Ryan Shi, Claire Wang, Fei Fang

CoRR, 2020

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 A. Kamhoua, Fei Fang

Proceedings of the Decision and Game Theory for Security - 11th International Conference, 2020

Improving Efficiency of Volunteer-Based Food Rescue Operations.

Zheyuan Ryan Shi, Yiwen Yuan, Kimberly Lo, Leah Lizarondo, Fei Fang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 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

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

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 A. Kamhoua, Fei Fang

CoRR, 2019

Towards Thwarting Social Engineering Attacks.

Zheyuan Ryan Shi, Aaron Schlenker, Brian Hay, Fei Fang

CoRR, 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

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Designing the Game to Play: Optimizing Payoff Structure in Security Games.

Zheyuan Ryan Shi, Ziye Tang, Long Tran-Thanh, Rohit Singh, Fei Fang

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

Optimizing Peer Teaching to Enhance Team Performance.

Zheyuan Shi, Fei Fang

Proceedings of the Autonomous Agents and Multiagent Systems, 2017