Lily Xu headshot

she/her, they/them

Lily Xu

PhD student at Harvard

I am a PhD student in computer science at Harvard University, advised by Prof. Milind Tambe. My research focuses on artificial intelligence — specifically in machine learning and game theory — applied to challenges in sustainability. I am passionate about reducing my negative impact on the environment and increasing my positive impact on society. I graduated from Dartmouth College in 2018, where I studied computer science and Spanish.

I co-organize the Mechanism Design for Social Good (MD4SG) research initiative with Rediet Abebe, Wanyi Li, Francisco Marmolejo Cossío, George Obaido, and Ana-Andreea Stoica.

I am happy to chat about grad school, AI for social impact, and AI for conservation. Feel free to drop me an email.

CV (pdf)

News

Publications

Robust Restless Bandits: Tackling Interval Uncertainty with Deep Reinforcement Learning [paper] [code] [bib]

@inproceedings{killian2021robust,
  title={Robust Restless Bandits: Tackling Interval Uncertainty with Deep Reinforcement Learning},
  author={Killian, Jackson A. and Xu, Lily and Biswas, Arpita and Tambe, Milind},
  booktitle={arXiv:2107.01689},
  year={2021},
}

preprint

Jackson A. Killian, Lily Xu, Arpita Biswas, Milind Tambe

Coordinating Followers to Reach Better Equilibria: End-to-End Gradient Descent for Stackelberg Games [paper] [bib]

@inproceedings{wang2021coordinating,
  title={Coordinating Followers to Reach Better Equilibria: End-to-End Gradient Descent for Stackelberg Games},
  author={Wang, Kai and Xu, Lily and Perrault, Andrew and Reiter, Michael K. and Tambe, Milind},
  booktitle={arXiv:2106.03278},
  year={2021},
}

preprint

Kai Wang, Lily Xu, Andrew Perrault, Michael K. Reiter, Milind Tambe

Robust Reinforcement Learning Under Minimax Regret for Green Security [paper] [code] [talk] [bib]

@inproceedings{xu2021robust,
  title={Robust Reinforcement Learning Under Minimax Regret for Green Security},
  author={Xu, Lily and Perrault, Andrew and Fang, Fei and Chen, Haipeng and Tambe, Milind},
  booktitle={Proc.~37th Conference on Uncertainty in Artificial Intelligence (UAI-21)},
  year={2021},
}

UAI 2021 Proc. 37th Conference on Uncertainty in Artificial Intelligence

Lily Xu, Andrew Perrault, Fei Fang, Haipeng Chen, Milind Tambe
Oral Presentation

Envisioning Communities: A Participatory Approach Towards AI for Social Good [paper] [talk] [bib]

@inproceedings{bondi2021envisioning,
  title={Envisioning Communities: A Participatory Approach Towards {AI} for Social Good},
  author={Bondi, Elizabeth and Xu, Lily and Acosta-Navas, Diana and Killian, Jackson A.},
  booktitle={Proc.~4th AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (AIES-21)},
  year={2021},
}

AIES 2021 Proc. 4th AAAI/ACM Conference on AI, Ethics, and Society

Elizabeth Bondi*, Lily Xu*, Diana Acosta-Navas, Jackson A. Killian
*Equal contribution

Dual-Mandate Patrols: Multi-Armed Bandits for Green Security [paper] [code] [talk] [bib]

@inproceedings{xu2021dual,
  title={Dual-Mandate Patrols: Multi-Armed Bandits for Green Security},
  author={Xu, Lily and Bondi, Elizabeth and Fang, Fei and Perrault, Andrew and Wang, Kai and Tambe, Milind},
  booktitle={Proc.~35th AAAI Conference on Artificial Intelligence (AAAI-21)},
  year={2021}
}

AAAI 2021 Proc. 35th AAAI Conference on Artificial Intelligence

Lily Xu, Elizabeth Bondi, Fei Fang, Andrew Perrault, Kai Wang, Milind Tambe
Best Paper Award Runner Up

Enhancing Poaching Predictions for Under-Resourced Wildlife Conservation Parks Using Remote Sensing Imagery [paper] [bib]

@inproceedings{guo2020enhancing,
  title={Enhancing Poaching Predictions for Under-Resourced Wildlife Conservation Parks Using Remote Sensing Imagery},
  author={Guo, Rachel and Xu, Lily and Plumptre, Andrew and Cronin, Drew and Okeke, Francis and Tambe, Milind},
  booktitle={NeurIPS Workshop on Machine Learning for the Developing World},
  year={2020}
}

NeurIPS Workshop on Machine Learning for Development (ML4D) 2020

Rachel Guo, Lily Xu, Andrew Plumptre, Drew Cronin, Francis Okeke, and Milind Tambe

Stay Ahead of Poachers: Illegal Wildlife Poaching Prediction and Patrol Planning Under Uncertainty with Field Test Evaluations [paper] [code] [talk] [bib]

@inproceedings{xu2020stay,
  title={Stay Ahead of Poachers: Illegal Wildlife Poaching Prediction and Patrol Planning Under Uncertainty with Field Test Evaluations},
  author={Xu, Lily and Gholami, Shahrzad and Mc Carthy, Sara and Dilkina, Bistra and Plumptre, Andrew and Tambe, Milind and Singh, Rohit and Nsubuga, Mustapha and Mabonga, Joshua and Driciru, Margaret and others},
  booktitle={Proc.~IEEE 36th International Conference on Data Engineering (ICDE-20)},
  year={2020}
}

ICDE 2020 Proc. 36th IEEE International Conference on Data Engineering

Lily Xu*, Shahrzad Gholami*, Sara Mc Carthy, Bistra Dilkina, Andrew Plumptre, Milind Tambe, Rohit Singh, Mustapha Nsubuga, Joshua Mabonga, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Tom Okello, Eric Enyel
*Equal contribution

Preprints

A High-Performance Graph Model for Near-Optimal Payments for Ecosystem Services [paper]

Preprint, appeared at Mechanism Design for Social Good Workshop (MD4SG 2020)

Florian Berlinger*, Lily Xu*, Yiling Chen
*Alphabetical

Game Theory on the Ground: The Effect of Increased Patrols on Deterring Poachers [paper]

Preprint, appeared at Harvard CRCS AI for Social Good (AI4SG) 2020 Workshop

Lily Xu, Andrew Perrault, Andrew Plumptre, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Milind Tambe

Selected Media

Contact

Address
Science and Engineering Complex, Room 2.106
150 Western Avenue
Allston, MA 02134
Email
[first]_[last] at g.harvard.edu
Online