Zheyuan Shi

Orcid: 0000-0001-7899-4680

According to our database1, Zheyuan Shi authored at least 17 papers between 2017 and 2024.

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Bibliography

2024
Where It Really Matters: Few-Shot Environmental Conservation Media Monitoring for Low-Resource Languages.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
NewsPanda: Media Monitoring for Timely Conservation Action.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
MAVIPER: Learning Decision Tree Policies for Interpretable Multi-agent Reinforcement Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Bandit Data-Driven Optimization for Crowdsourcing Food Rescue Platforms.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
A Recommender System for Crowdsourcing Food Rescue Platforms.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Poster: Pallet Estimation for Food Bank Logistics Management.
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.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Bandit Data-driven Optimization: AI for Social Good and Beyond.
CoRR, 2020

Artificial Intelligence for Social Good: A Survey.
CoRR, 2020

Learning and Planning in the Feature Deception Problem.
Proceedings of the Decision and Game Theory for Security - 11th International Conference, 2020

Improving Efficiency of Volunteer-Based Food Rescue Operations.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Draining the Water Hole: Mitigating Social Engineering Attacks with CyberTWEAK.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Learning and Planning in Feature Deception Games.
CoRR, 2019

Towards Thwarting Social Engineering Attacks.
CoRR, 2019

Deep Reinforcement Learning for Green Security Games with Real-Time Information.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Designing the Game to Play: Optimizing Payoff Structure in Security Games.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017
Optimizing Peer Teaching to Enhance Team Performance.
Proceedings of the Autonomous Agents and Multiagent Systems, 2017


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