Sotabase

Career

· Sun-Wu Assistant Professor, Columbia University2025–
· Postdoctoral Research Fellow, University of Oxford2024–2025
· PhD in Computer Science, Harvard University2019–2024
· A.B. with Honors in Computer Science, minor in Spanish, Dartmouth College2014–2018

Publications (42)

Envisioning Communities: A Participatory Approach Towards AI for Social Good
AAAI/ACM Conference on AI, Ethics, and Society · 2021
107
cited
The Value Information of Financing Decisions and Corporate Governance During and after the Japanese Deregulation
2002
56
cited
Stay Ahead of Poachers: Illegal Wildlife Poaching Prediction and Patrol Planning Under Uncertainty with Field Test Evaluations (Short Version)
IEEE International Conference on Data Engineering · 2019
55
cited
Self-folding shape memory laminates for automated fabrication
2013 IEEE/RSJ International Conference on Intelligent Robots and Systems · 2013
39
cited
Robust Reinforcement Learning Under Minimax Regret for Green Security
Conference on Uncertainty in Artificial Intelligence · 2021
31
cited
Dual-Mandate Patrols: Multi-Armed Bandits for Green Security
AAAI Conference on Artificial Intelligence · 2020
27
cited
Optimistic Whittle Index Policy: Online Learning for Restless Bandits
AAAI Conference on Artificial Intelligence · 2022
27
cited
Coordinating Followers to Reach Better Equilibria: End-to-End Gradient Descent for Stackelberg Games
AAAI Conference on Artificial Intelligence · 2021
26
cited
Bridging adaptive management and reinforcement learning for more robust decisions
Philosophical Transactions of the Royal Society of London. Biological Sciences · 2023
21
cited
Artificial Replay: A Meta-Algorithm for Harnessing Historical Data in Bandits
arXiv.org · 2022
8
cited
Robust Planning over Restless Groups: Engagement Interventions for a Large-Scale Maternal Telehealth Program
AAAI Conference on Artificial Intelligence · 2023
8
cited
Flexible Budgets in Restless Bandits: A Primal-Dual Algorithm for Efficient Budget Allocation
AAAI Conference on Artificial Intelligence · 2023
6
cited
Reinforcement learning with combinatorial actions for coupled restless bandits
International Conference on Learning Representations · 2025
6
cited
Restless and uncertain: Robust policies for restless bandits via deep multi-agent reinforcement learning
Conference on Uncertainty in Artificial Intelligence · 2021
6
cited
Reflections from the Workshop on AI-Assisted Decision Making for Conservation
arXiv.org · 2023
5
cited
Enhancing Poaching Predictions for Under-Resourced Wildlife Conservation Parks Using Remote Sensing Imagery
arXiv.org · 2020
4
cited
Game Theory on the Ground: The Effect of Increased Patrols on Deterring Poachers
arXiv.org · 2020
4
cited
Learning and Planning Under Uncertainty for Green Security
International Joint Conference on Artificial Intelligence · 2021
4
cited
Ranked Prioritization of Groups in Combinatorial Bandit Allocation
International Joint Conference on Artificial Intelligence · 2022
4
cited
Robust Restless Bandits: Tackling Interval Uncertainty with Deep Reinforcement Learning
arXiv.org · 2021
4
cited
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Lily Xu | Researcher Profile | Sotabase | Sotabase