[Google Scholar]

Selected Publications

2021

• A Recommender System for Crowdsourcing Food Rescue Platforms
  Zheyuan Ryan Shi, Leah Lizarondo, Fei Fang
  In WWW-21: 30th The Web Conference
• Discovering Diverse Multi-Agent Strategic Behavior via Reward Randomization
  Zhenggang Tang, Chao Yu, Boyuan Chen, Huazhe Xu, Xiaolong Wang, Fei Fang, Simon Shaolei Du, Yu Wang, Yi Wu
  In ICLR-21: the Ninth International Conference on Learning Representations
• Data-Driven Multimodal Patrol Planning for Anti-poaching
  Weizhe Chen, Weinan Zhang, Duo Liu, Weiping Liu, Xiaojun Shi, Fei Fang
  In IAAI-21: The Thirty-Third Annual Conference on Innovative Applications of Artificial Intelligence
• Harnessing Social Media to Identify Homeless Youth At-Risk of Substance Use
  Zi-Yi Dou, Anamika Barman-Adhikari, Fei Fang, Amulya Yadav
  In AAAI-21: The Thirty-Fifth AAAI Conference on Artificial Intelligence
• Dual-Mandate Patrols: Multi-Armed Bandits for Green Security
  Lily Xu, Elizabeth Bondi, Fei Fang, Andrew Perrault, Kai Wang, Milind Tambe
  In AAAI-21: The Thirty-Fifth AAAI Conference on Artificial Intelligence
  [ArXiv][code]
  Best Paper Runner-Up
• Iterative Bounding MDPs: Learning Interpretable Policies via Non-Interpretable Methods
  Nicholay Topin, Stephanie Milani, Fei Fang, Manuela Veloso
  In AAAI-21: The Thirty-Fifth AAAI Conference on Artificial Intelligence

2020

• Mitigating Manipulation in Peer Review via Randomized Reviewer Assignments
  Steven Jecmen, Hanrui Zhang, Ryan Liu, Nihar Shah, Vincent Conitzer, Fei Fang
  In NeurIPS-20: Thirty-fourth Conference on Neural Information Processing Systems
  [ArXiv][NeurIPS]
• Deep Archimedean Copulas
  Chun Kai Ling, Fei Fang, Zico Kolter
  In NeurIPS-20: Thirty-fourth Conference on Neural Information Processing Systems
  [ArXiv][NeurIPS]
• 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 Kamhoua, Fei Fang
  In GameSec-20: the 11th Conference on Decision and Game Theory for Security
  [ArXiv]
• Harnessing the Power of Deception in Attack Graph-Based Security Games
  Stephanie Milani, Weiran Shen, Kevin S. Chan, Sridhar Venkatesan, Nandi O. Leslie, Charles Kamhoua, Fei Fang
  In GameSec-20: the 11th Conference on Decision and Game Theory for Security
  [GameSec]
• When to Follow the Tip: Security Games with Strategic Informants
  Weiran Shen, Weizhe Chen, Taoan Huang, Rohit Singh, Fei Fang
  In IJCAI-PCAI-20: the International Joint Conference on Artificial Intelligence –Pacific Rim International Conference on Artificial Intelligence
  [IJCAI version]
• Green Security Game with Community Engagement
  Taoan Huang, Weiran Shen, David Zeng, Tianyu Gu, Rohit Singh, Fei Fang
  In AAMAS-20: the 19th International Conference on Autonomous Agents and Multiagent Systems, May 2020
  [AAMAS version][ArXiv version]
• Artificial Intelligence for Social Good: A Survey
  Zheyuan Ryan Shi, Claire Wang, Fei Fang
  [ArXiv]
• Evolutionary Population Curriculum for Scaling Multi-Agent Reinforcement Learning
  Qian Long*, Zihan Zhou*, Abhinav Gupta, Fei Fang, Yi Wu†, Xiaolong Wang†
  In ICLR-20: The Eighth International Conference on Learning Representations
  [ArXiv][Code]
• AI for Social Impact: Learning and Planning in the Data-to-Deployment Pipeline
  Andrew Perrault, Fei Fang, Arunesh Sinha, Milind Tambe
  To appear in AI Magazine
  [ArXiv version]
• To Signal or Not To Signal: Exploiting Uncertain Real-Time Information in Signaling Games for Security and Sustainability
  Elizabeth Bondi, Hoon Oh, Haifeng Xu, Fei Fang, Bistra Dilkina, Milind Tambe
  In AAAI-20: The Thirty-Fourth AAAI Conference on Artificial Intelligence
  [AAAI version][Code Repo]
• 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
  In IAAI-20: The Thirty-Second Annual Conference on Innovative Applications of Artificial Intelligence
  [IAAI version]
• Improving Efficiency of Volunteer-Based Food Rescue Operations
  Zheyuan Ryan Shi∗, Yiwen Yuan∗, Kimberly Lo, Leah Lizarondo, Fei Fang
  In IAAI-20: The Thirty-Second Annual Conference on Innovative Applications of Artificial Intelligence
  [IAAI version]

2019

• Efficient Regret Minimization Algorithm for Extensive-Form Correlated Equilibrium
  Gabriele Farina, Chun Kai Ling, Fei Fang, Tuomas Sandholm
  In NeurIPS-19: The Thirty-third Conference on Neural Information Processing Systems
  [NeurIPS version|ArXiv version]
  Spotlight presentation (2.5% of submissions)
• Correlation in Extensive-Form Games: Saddle-Point Formulation and Benchmarks
  Gabriele Farina, Chun Kai Ling, Fei Fang, Tuomas Sandholm
  In NeurIPS-19: The Thirty-third Conference on Neural Information Processing Systems
  [NeurIPS version|ArXiv version]
• The Cat-and-Mouse Dynamics of Getting Around the Law
  Daria Roithmayr, Justin Chin, Fei Fang and Bruce Levin
  In CSS-19: The Computational Social Science Society of the Americas 10th Anniversary International Conference
• Modeling Observability in Adaptive Systems to Defend Against Advanced Persistent Threats
  Cody Kinneer, Ryan Wagner, Fei Fang, Claire Le Goues and David Garlan
  In MEMOCODE-19: The 17th ACM-IEEE International Conference on Formal Methods and Models for System Design
  [pdf|MEMOCODE version]
• Computational Sustainability: Computing for a Better World and a Sustainable Future
  Carla Gomes, Thomas Dietterich, Christopher Barrett, Jon Conrad, Bistra Dilkina, Stefano Ermon, Fei Fang, Andrew Farnsworth, Alan Fern, Xiaoli Fern, Daniel Fink, Douglas Fisher, Alexander Flecker, Daniel Freund, Angela Fuller, John Gregoire, John Hopcroft, Steve Kelling, Zico Kolter, Warren Powell, Nicole Sintov, John Selker, Bart Selman, Daniel Sheldon, David Shmoys, Milind Tambe, Weng-Keen Wong, Christopher Wood, Xiaojian Wu, Yexiang Xue, Amulya Yadav, Abdul-Aziz Yakubu, Mary Lou Zeeman
  In Communications of the ACM, September 2019, Vol. 62 No. 9, Pages 56-65 10.1145/3339399
  Cover Article of the September 2019 Issue of CACM
  [CACM text version|CACM pdf version]
• DeepFP for Finding Nash Equilibrium in Continuous Action Spaces
  Nitin Kamra, Umang Gupta, Kai Wang, Fei Fang, Yan Liu, Milind Tambe
  In GameSec-19: The 10th Conference on Decision and Game Theory for Security
  [pdf|GameSec version]
• Cyber Camouflage Games for Strategic Deception
  Omkar Thakoor, Milind Tambe, Phebe Vayanos, Haifeng Xu, Christopher Kiekintveld, Fei Fang
  In GameSec-19: The 10th Conference on Decision and Game Theory for Security
  [pdf|GameSec version]
• A Robot’s Expressive Language Affects Human Strategy and Perceptions in a Competitive Game
  Aaron M. Roth, Samantha Reig, Umang Bhatt, Jonathan Shulgach, Tamara Amin, Afsaneh Doryab, Fei Fang, Manuela Veloso
  In RO-MAN-19: The 28th IEEE International Conference on Robot & Human Interactive Communication
  [ArXiv version]
  Media coverage: [CMU Stories][Business Insider][The Irish Times]
• Integrating Learning with Game Theory for Societal Challenges
  Fei Fang
  In IJCAI-19: The 28th International Joint Conference on Artificial Intelligence (Early Career Spotlight Track)
  [slides]
• Dynamic Trip-Vehicle Dispatch with Scheduled and On-Demand Requests
  Taoan Huang, Bohui Fang, Xiaohui Bei, Fei Fang
  In UAI-19: The Conference on Uncertainty in Artificial Intelligence
  [UAI version|ArXiv version]
• Using Game Theory in Real-Time in the Real World: A Conservation Case Study (Demo)
  Elizabeth Bondi, Hoon Oh, Haifeng Xu, Fei Fang, Bistra Dilkina, Milind Tambe
  In System Demos at AAMAS-19: the 18th International Conference on Autonomous Agents and Multiagent Systems, May 2019
  Winner of Best Application System Demo
• Spatio-Temporal Pricing for Ridesharing Platforms
  Hongyao Ma, Fei Fang, David C. Parkes
  In EC-19: The 20th ACM Conference on Economics and Computation
  [EC version|ArXiv version]
• 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
  In AAAI-19: The Thirty-Third AAAI Conference on Artificial Intelligence
  [pdf|AAAI version|poster|slides|code]
• Robust Multi-Agent Reinforcement Learning via Minimax Deep Deterministic Policy Gradient
  Shihui Li, Yi Wu, Xinyue Cui, Honghua Dong, Fei Fang, Stuart Russell
  In AAAI-19: The Thirty-Third AAAI Conference on Artificial Intelligence
  [pdf|AAAI version|poster|slides|code]
• On the Inducibility of Stackelberg Equilibrium in Security Games
  Qingyu Guo, Jiarui Gan, Fei Fang, Long Tran-Thanh, Milind Tambe, Bo An
  In AAAI-19: The Thirty-Third AAAI Conference on Artificial Intelligence
  [pdf|ArXiv version]
• Large Scale Learning of Agent Rationality in Two-Player Zero-Sum Games
  Chun Kai Ling, Fei Fang, Zico Kolter
  In AAAI-19: The Thirty-Third AAAI Conference on Artificial Intelligence
  [pdf|ArXiv version]

2018

• AirSim-W: A Simulation Environment for Wildlife Conservation with UAVs
  Elizabeth Bondi, Debadeepta Dey, Ashish Kapoor, Jim Piavis, Shital Shah, Fei Fang, Bistra Dilkina, Robert Hannaford, Arvind Iyer, Lucas Joppa, Milind Tambe
  In COMPASS-18: ACM SIGCAS Conference on Computing and Sustainable Societies
  [pdf]
• Exploiting Data and Human Knowledge for Predicting Wildlife Poaching
  Swaminathan Gurumurthy, Lantao Yu, Chenyan Zhang, Yongchao Jin, Weiping Li, Xiaodong Zhang, Fei Fang
  In COMPASS-18: ACM SIGCAS Conference on Computing and Sustainable Societies
  [pdf|ArXiv version]
• Stackelberg Security Games: Looking Beyond a Decade of Success
  Arunesh Sinha, Fei Fang, Bo An, Christopher Kiekintveld, Milind Tambe
  In IJCAI-ECAI-18: The 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence
  [pdf]
• What game are we playing? End-to-end learning in normal and extensive form games
  Chun Kai Ling, Fei Fang, J. Zico Kolter
  In IJCAI-ECAI-18: The 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence
  [pdf|IJCAI version|ArXiv version|code]
  Winner of Distinguished Paper
• Designing the Game to Play: Optimizing Payoff Structure in Security Games
  Zheyuan Ryan Shi, Ziye Tang, Long Tran-Thanh, Rohit Singh, Fei Fang
  In IJCAI-ECAI-18: The 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence
  [pdf|IJCAI version|ArXiv version|code]
• Deceiving Cyber Adversaries: A Game Theoretic Approach
  Aaron Schlenker, Omkar Thakoor, Haifeng Xu, Fei Fang, Milind Tambe, Long Tran-Thanh, Phebe Vayanos, Yevgeniy Vorobeychik
  In AAMAS-18: The 17th International Conference on Autonomous Agents and Multiagent Systems
  [pdf]
• On the Weakness of Strong Stackelberg Equilibrium for Security Games (Extended Abstract)
  Qingyu Guo, Jiarui Gan, Fei Fang, Long Tran-Thanh, Milind Tambe, Bo An
  In AAMAS-18: The 17th International Conference on Autonomous Agents and Multiagent Systems
  [pdf]
• Policy Learning for Continuous Space Security Games using Neural Networks
  Nitin Kamra, Umang Gupta, Fei Fang, Yan Liu, Milind Tambe
  In AAAI-18: The Thirty-Second AAAI Conference on Artificial Intelligence, February 2018
  [pdf|AAAI version|slides]
• SPOT Poachers in Action: Augmenting Conservation Drones with Automatic Detection in Near Real Time
  Elizabeth Bondi, Fei Fang, Mark Hamilton, Debarun Kar, Donnabell Dmello, Jongmoo Choi, Robert Hannaford, Arvind Iyer, Lucas Joppa, Milind Tambe, Ram Nevatia
  In IAAI-18: The Thirtieth Conference on Innovative Applications of Artificial Intelligence, February 2018
  [pdf|IAAI version]

2017

• VIOLA: Video Labeling Application for Security Domains
  Elizabeth Bondi, Fei Fang, Debarun Kar, Venil Noronha, Donnabell Dmello, Milind Tambe, Arvind Iyer, Robert Hannaford
  In GameSec-17: The 8th Conference on Decision and Game Theory for Security
  [pdf|GameSec version|slides]
• Optimal Patrol Planning for Green Security Games with Black-Box Attackers
  Haifeng Xu, Benjamin Ford, Fei Fang, Bistra Dilkina, Andrew Plumptre, Milind Tambe, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Mustapha Nsubaga, Joshua Mabonga
  In GameSec-17: The 8th Conference on Decision and Game Theory for Security
  [pdf|GameSec version|slides]
• Taking it for a Test Drive: A Hybrid Spatio-temporal Model for Wildlife Poaching Prediction Evaluated through a Controlled Field Test
  Shahrzad Gholami, Benjamin Ford, Fei Fang, Andrew Plumptre, Milind Tambe, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Mustapha Nsubaga, Joshua Mabonga
  In ECML-PKDD 2017: The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
  [pdf|ECML version|slides]
• Optimizing Peer Teaching to Enhance Team Performance.
  Zheyuan Shi, Fei Fang
  In TEAMAS-17: First International Workshop on Teams in Multiagent Systems held at AAMAS 2017.
  In Autonomous Agents and Multiagent Systems: AAMAS 2017 Workshops, Best Papers, San Paulo, Brazil, May 8-12, 2017
  Winner of Best Paper
  [pdf|AAMAS version|bib]
• Predicting Poaching for Wildlife Protection
  Fei Fang, Thanh H. Nguyen, Arunesh Sinha, Shahrzad Gholami, Andrew Plumptre, Lucas Joppa, Milind Tambe, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Rob Critchlow, Colin Beale.
  In IBM Journal of Research and Development (Volume: 61, Issue: 6, Nov.-Dec. 1 2017)
  [pdf|IBM Journal version|bib]
• Cloudy with a Chance of Poaching: Adversary Behavior Modeling and Forecasting with Real-World Poaching Data
  Debarun Kar, Benjamin Ford, Shahrzad Gholami, Fei Fang, Andrew Plumptre, Milind Tambe, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba
  In AAMAS-17: The 16th International Conference on Autonomous Agents and Multiagent Systems, May 2017
  [pdf|appendix|AAMAS version]
• Keeping it Real: Using Real-World Problems to Teach AI to Diverse Audiences
  Nicole Sintov, Debarun Kar, Thanh Nguyen, Fei Fang, Kevin Hoffman, Arnaud Lyet, Milind Tambe
  AI Magazine, 38(2):35-47, 2017.
  [pdf|AI Magazine version]
• PAWS – A Deployed Game-Theoretic Application to Combat Poaching
  Fei Fang, Thanh H. Nguyen, Rob Pickles, Wai Y. Lam, Gopalasamy R. Clements, Bo An, Amandeep Singh, Brian C. Schwedock, Milind Tambe, Andrew Lemieux
  AI Magazine, 38(1):23-36, 2017.
  [pdf|AI Magazine version]
• Trends and Applications in Stackelberg Security Games
  Debarun Kar, Thanh H. Nguyen, Fei Fang, Matthew Brown, Arunesh Sinha, Milind Tambe, Albert Xin Jiang
  Handbook on Dynamic Game Theory (Edited by Tamer Bashar, Georges Zaccour), Springer, 2017. DOI:10.1007/978-3-319-27335-8_27-1.
  [pdf|Springer version]
• PAWS: Game-Theory Based Protection Assistant for Wildlife Security
  Fei Fang, Benjamin Ford, Rong Yang, Milind Tambe, Andrew Lemieux
  Conservation Criminology (Edited by Meredith Gore). Chapter 10. Wiley, 2017.
  [pdf|Wiley version]

2016

• Towards Addressing Spatio-Temporal Aspects in Security Games (Ph.D. Thesis)
  Fei Fang
  [pdf|USC Digital Library version|bib]
  Runner-up for IFAAMAS-16 Victor Lesser Distinguished Dissertation Award
  Best Dissertation Award in Computer Science at the University of Southern California
• Comparing Human Behavior Models in Repeated Stackelberg Security Games: An Extended Study
  Debarun Kar, Fei Fang, Francesco M. Delle Fave, Nicole Sintov, Milind Tambe, Arnaud Lyet
  In AIJ: Artificial Intelligence
  [pdf|AIJ version|bib]
• Green Security Games: Apply Game Theory to Addressing Green Security Challenges
  Fei Fang, Thanh H. Nguyen
  In ACM SIGecom Exchanges, Volume 15 Issue 1, July 2016, Pages 78-83
  [pdf|SIGecom version|bib]
• Combining Graph Contraction and Strategy Generation for Green Security Games
  Anjon Basak, Fei Fang, Thanh Nguyen and Christopher Kiekintveld
  In GameSec-16: The 7th International Conference on Decision and Game Theory for Security, November  2016
  [pdf|GameSec version|bib|slides]
• Three Strategies to Success: Learning Adversary Models in Security Games
  Nika Haghtalab, Fei Fang, Thanh H. Nguyen, Arunesh Sinha, Ariel Procaccia, Milind Tambe
  In IJCAI-16: The 25th International Joint Conference on Artificial Intelligence, July 2016
  [pdf(with appendix)|IJCAI version|bib]
• Deploying PAWS: Field Optimization of the Protection Assistant for Wildlife Security
  Fei Fang, Thanh H. Nguyen, Rob Pickles, Wai Y. Lam, Gopalasamy R. Clements, Bo An, Amandeep Singh, Milind Tambe, Andrew Lemieux
  In IAAI-16: The Twenty-Eighth Annual Conference on Innovative Applications of Artificial Intelligence, February 2016
  Winner of Innovative Application Award
  [pdf|IAAI version|bib]
• From the Lab to the Classroom and Beyond: Extending a Game-Based Research Platform for Teaching AI to Diverse Audiences
  Nicole Sintov, Debarun Kar, Thanh H. Nguyen, Fei Fang, Kevin Hoffman, Arnaud Lyet, Milind Tambe
  In EAAI-16: The Sixth Symposium on Educational Advances in Artificial Intelligence, February 2016
  [pdf|EAAI version|bib]

2015

• When Security Games Go Green: Designing Defender Strategies to Prevent Poaching and Illegal Fishing
  Fei Fang, Peter Stone, Milind Tambe
  In IJCAI-15: the 24th International Joint Conference on Artificial Intelligence, July 2015
  Outstanding Paper Award Winner in IJCAI-15 Computational Sustainability Track
  [pdf|IJCAI version|bib]
  
• ”A Game of Thrones”: When Human Behavior Models Compete in Repeated Stackelberg Security Games
  Debarun Kar, Fei Fang, Francesco Maria Delle Fave, Nicole Sintov, Milind Tambe
  In AAMAS-15: The Fourteenth International Conference on Autonomous Agents and Multiagent Systems, May 2015
  [pdf|AAMAS version|bib]
• Planning Defender Strategies Against Attackers In Domains Involving Frequent Adversary Interaction (Extended Abstract)
  Fei Fang, Peter Stone, Milind Tambe
  In AAMAS-15: The Fourteenth International Conference on Autonomous Agents and Multiagent Systems, May 2015
  [pdf|AAMAS version|bib]

2014

• Solving Zero-Sum Security Games in Discretized Spatio-Temporal Domains
  Haifeng Xu, Fei Fang, Albert Xin Jiang, Vincent Conitzer, Shaddin Dughmi, Milind Tambe
  In AAAI-14: The Twenty-Eighth Conference on Artificial Intelligence, July 2014
  [pdf|AAAI version|bib]
• Robust protection of fisheries with COmPASS
  William Haskell, Debarun Kar, Fei Fang, Milind Tambe, Sam Cheung, Elizabeth Denicola
  In IAAI-14: The Twenty-Sixth Annual Conference on Innovative Applications of Artificial Intelligence, July 2014
  [pdf|IAAI version|bib]

2013