Publications

Selected Key Publications

2020

  • 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
  • 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
  • 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
  • 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

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
    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
  • 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
  • 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
  • Cyber Camouflage Games for Strategic Deception
    Omkar Thakoor, Milind Tambe, Phebe Vayanos, Haifeng Xu, Christopher Kiekintveil, Fei Fang
    In GameSec-19: The 10th Conference on Decision and Game Theory for Security
  • 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][CMU Stories Report]
  • 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]
  • 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

  • Protecting Moving Targets with Multiple Mobile Resources
    Fei Fang, Albert X. Jiang, Milind Tambe
    In JAIR: Journal of Artificial Intelligence Research, 48:583-634, 2013
    [pdf|JAIR version|bib]
  • Optimal Patrol Strategy for Protecting Moving Targets with Multiple Mobile Resources
    Fei Fang, Albert Xin Jiang, Milind Tambe
    In AAMAS-13: The Twelfth International Conference on Autonomous Agents and Multiagent Systems, May 2013
    [pdf|AAMAS version|bib]

2012

  • Patrol Strategies to Maximize Pristine Forest Area
    Matthew P. Johnson, Fei Fang, Milind Tambe, Heidi Jo Albers
    In AAAI-12: The Twenty-Sixth Conference on Artificial Intelligence (Computational Sustainability Track), July 2012
    [pdf|AAAI version|bib]
  • Designing Better Strategies against Human Adversaries in Graph-Based Security Games (Extended Abstract)
    Rong Yang, Albert Xin Jiang, Fei Fang, Rajiv Maheswaran, Milind Tambe
    In AAMAS-12: The Eleventh International Conference on Autonomous Agents and Multiagent Systems, June 2012. (short paper)
    [pdf|AAMAS version|bib]