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2020 – today
- 2024
[c14]Sameer Jain, Sedrick Scott Keh, Shova Chettri, Karun Dewan, Pablo Izquierdo, Johanna Prussman, Pooja Shrestha, César Suárez, Zheyuan Ryan Shi, Lei Li
, Fei Fang:
Where It Really Matters: Few-Shot Environmental Conservation Media Monitoring for Low-Resource Languages. AAAI 2024: 22141-22149- [c13]Zheyuan Ryan Shi, Jiayin Zhi, Siqi Zeng, Zhicheng Zhang, Ameesh Kapoor, Sean Hudson, Hong Shen, Fei Fang:
Predicting and Presenting Task Difficulty for Crowdsourcing Food Rescue Platforms. WWW 2024: 4686-4696 - [i10]Sameer Jain, Sedrick Scott Keh, Shova Chettri, Karun Dewan, Pablo Izquierdo, Johanna Prussman, Pooja Shrestha, César Suárez, Zheyuan Ryan Shi, Lei Li, Fei Fang:
Where It Really Matters: Few-Shot Environmental Conservation Media Monitoring for Low-Resource Languages. CoRR abs/2402.11818 (2024) - [i9]Naveen Raman, Zheyuan Ryan Shi, Fei Fang:
Global Rewards in Restless Multi-Armed Bandits. CoRR abs/2406.00738 (2024) - 2023
- [c12]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:
NewsPanda: Media Monitoring for Timely Conservation Action. AAAI 2023: 15528-15536 - [i8]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:
NewsPanda: Media Monitoring for Timely Conservation Action. CoRR abs/2305.01503 (2023) - 2022
- [c11]Zheyuan Ryan Shi, Zhiwei Steven Wu, Rayid Ghani, Fei Fang:
Bandit Data-Driven Optimization for Crowdsourcing Food Rescue Platforms. AAAI 2022: 12154-12162 - [c10]Stephanie Milani, Zhicheng Zhang, Nicholay Topin, Zheyuan Ryan Shi, Charles A. Kamhoua, Evangelos E. Papalexakis, Fei Fang:
MAVIPER: Learning Decision Tree Policies for Interpretable Multi-agent Reinforcement Learning. ECML/PKDD (4) 2022: 251-266 - [i7]Stephanie Milani, Zhicheng Zhang, Nicholay Topin, Zheyuan Ryan Shi, Charles A. Kamhoua, Evangelos E. Papalexakis, Fei Fang:
MAVIPER: Learning Decision Tree Policies for Interpretable Multi-Agent Reinforcement Learning. CoRR abs/2205.12449 (2022) - 2021
- [c9]Zheyuan Ryan Shi:
AI for Social Good: Between My Research and the Real World. AAAI 2021: 15732-15733 - [c8]Alison Hau, Fei Fang, Zheyuan Ryan Shi:
Poster: Pallet Estimation for Food Bank Logistics Management. COMPASS 2021: 385-388 - [c7]Zheyuan Ryan Shi, Leah Lizarondo, Fei Fang:
A Recommender System for Crowdsourcing Food Rescue Platforms. WWW 2021: 857-865 - 2020
- [c6]Zheyuan Ryan Shi, Aaron Schlenker, Brian Hay, Daniel Bittleston, Siyu Gao, Emily Peterson, John Trezza, Fei Fang:
Draining the Water Hole: Mitigating Social Engineering Attacks with CyberTWEAK. AAAI 2020: 13363-13368 - [c5]Zheyuan Ryan Shi, Yiwen Yuan, Kimberly Lo, Leah Lizarondo, Fei Fang:
Improving Efficiency of Volunteer-Based Food Rescue Operations. AAAI 2020: 13369-13375 - [c4]Zheyuan Ryan Shi, Ariel D. Procaccia, Kevin S. Chan, Sridhar Venkatesan, Noam Ben-Asher, Nandi O. Leslie, Charles A. Kamhoua, Fei Fang:
Learning and Planning in the Feature Deception Problem. GameSec 2020: 23-44 - [i6]Zheyuan Ryan Shi, Claire Wang, Fei Fang:
Artificial Intelligence for Social Good: A Survey. CoRR abs/2001.01818 (2020) - [i5]Zheyuan Ryan Shi, Zhiwei Steven Wu, Rayid Ghani, Fei Fang:
Bandit Data-driven Optimization: AI for Social Good and Beyond. CoRR abs/2008.11707 (2020)
2010 – 2019
- 2019
- [c3]Yufei Wang, Zheyuan Ryan Shi, Lantao Yu, Yi Wu, Rohit Singh, Lucas Joppa, Fei Fang:
Deep Reinforcement Learning for Green Security Games with Real-Time Information. AAAI 2019: 1401-1408 - [i4]Zheyuan Ryan Shi, Aaron Schlenker, Brian Hay, Fei Fang:
Towards Thwarting Social Engineering Attacks. CoRR abs/1901.00586 (2019) - [i3]Zheyuan Ryan Shi, Ariel D. Procaccia, Kevin S. Chan, Sridhar Venkatesan, Noam Ben-Asher, Nandi O. Leslie, Charles A. Kamhoua, Fei Fang:
Learning and Planning in Feature Deception Games. CoRR abs/1905.04833 (2019) - 2018
- [c2]Zheyuan Ryan Shi, Ziye Tang, Long Tran-Thanh, Rohit Singh, Fei Fang:
Designing the Game to Play: Optimizing Payoff Structure in Security Games. IJCAI 2018: 512-518 - [i2]Zheyuan Ryan Shi, Ziye Tang, Long Tran-Thanh, Rohit Singh, Fei Fang:
Designing the Game to Play: Optimizing Payoff Structure in Security Games. CoRR abs/1805.01987 (2018) - [i1]Yufei Wang, Zheyuan Ryan Shi, Lantao Yu, Yi Wu, Rohit Singh, Lucas Joppa, Fei Fang:
Deep Reinforcement Learning for Green Security Games with Real-Time Information. CoRR abs/1811.02483 (2018) - 2017
- [c1]Zheyuan Shi, Fei Fang:
Optimizing Peer Teaching to Enhance Team Performance. AAMAS Workshops (Selected Papers) 2017: 138-150
Coauthor Index
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last updated on 2024-10-07 22:06 CEST by the dblp team
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