Fei Fang - RankMe

230 papers A* 65A 18B 2C 4Misc 2Journal 111Unranked 24

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Antidistillation Fingerprinting. CoRR Yixuan Even Xu, John Kirchenbauer, Yash Savani, Asher Trockman, Alexander Robey, Tom Goldstein, Fei Fang, J. Zico Kolter
2026	J	`jnl`	Improving online anti-phishing training using cognitive large language models. Comput. Hum. Behav. Tailia Malloy, Fei Fang, Cleotilde Gonzalez
2026	A*	`conf`	Large Language Models in Peer-Run Community Behavioral Health Services: Understanding Peer Specialists and Service Users' Perspectives on Opportunities, Risks, and Mitigation Strategies. CHI Cindy Peng, Megan Chai, Gao Mo, Naveen Raman, Ningjing Tang, Shannon Pagdon, Margaret Swarbrick, Nev Jones, Fei Fang, Hong Shen
2026	J	`jnl`	Large Language Models in Peer-Run Community Behavioral Health Services: Understanding Peer Specialists and Service Users' Perspectives on Opportunities, Risks, and Mitigation Strategies. CoRR Cindy Peng, Megan Chai, Gao Mo, Naveen Raman, Ningjing Tang, Shannon Pagdon, Margaret Swarbrick, Nev Jones, Fei Fang, Hong Shen
2026	J	`jnl`	Not All Rollouts are Useful: Down-Sampling Rollouts in LLM Reinforcement Learning. Trans. Mach. Learn. Res. Yixuan Even Xu, Yash Savani, Fei Fang, J. Zico Kolter
2026	A*	`conf`	PeerCoPilot: A Language Model-Powered Assistant for Behavioral Health Organizations. AAAI Gao Mo, Naveen Janaki Raman, Megan Chai, Cindy Peng, Shannon Pagdon, Nev Jones, Hong Shen, Margaret Swarbrick, Fei Fang
2026	A*	`conf`	RescueLens: LLM-Powered Triage and Action on Volunteer Feedback for Food Rescue. AAAI Naveen Janaki Raman, Jingwu Tang, Zhiyu Chen, Zheyuan Ryan Shi, Sean Hudson, Ameesh Kapoor, Fei Fang
2026	A*	`conf`	Safe Multi-agent Reinforcement Learning with Natural Language Constraints. AAAI Ziyan Wang, Meng Fang, Tristan Tomilin, Fei Fang, Yali Du
2026	J	`jnl`	The PokeAgent Challenge: Competitive and Long-Context Learning at Scale. CoRR Seth Karten, Jake Grigsby, Tersoo Upaa Jr, Junik Bae, Seonghun Hong, Hyunyoung Jeong, Jaeyoon Jung, Kun Kerdthaisong, Gyungbo Kim, Hyeokgi Kim, Yujin Kim, Eunju Kwon, Dongyu Liu, Patrick Mariglia, Sangyeon Park, Benedikt Schink, Xianwei Shi, Anthony Sistilli, Joseph Twin, Arian Urdu, Matin Urdu, Qiao Wang, Ling Wu, Wenli Zhang, Kunsheng Zhou, Stephanie Milani, Kiran Vodrahalli, Amy Zhang, Fei Fang, Yuke Zhu, Chi Jin
2026	J	`jnl`	VAM: Verbalized Action Masking for Controllable Exploration in RL Post-Training - A Chess Case Study. CoRR Zhicheng Zhang, Ziyan Wang, Yali Du, Fei Fang
2025	—	`conf`	CBT-Bench: Evaluating Large Language Models on Assisting Cognitive Behavior Therapy. NAACL (Long Papers) Mian Zhang, Xianjun Yang, Xinlu Zhang, Travis Labrum, Jamie C. Chiu, Shaun M. Eack, Fei Fang, William Yang Wang, Zhiyu Chen
2025	J	`jnl`	Can Online GenAI Discussion Serve as Bellwether for Labor Market Shifts? CoRR Shurui Cao, Wenyue Hua, William Yang Wang, Hong Shen, Fei Fang
2025	J	`jnl`	Contextual Budget Bandit for Food Rescue Volunteer Engagement. CoRR Ariana Tang, Naveen Raman, Fei Fang, Zheyuan Ryan Shi
2025	A*	`conf`	Deviate or Not: Learning Coalition Structures with Multiple-bit Observations in Games. AAAI Yixuan Even Xu, Zhe Feng, Fei Fang
2025	J	`jnl`	Experimental evaluation of cognitive agents for collaboration in human-autonomy cyber defense teams. Comput. Hum. Behav. Artif. Humans Yinuo Du, Baptiste Prébot, Tyler Malloy, Fei Fang, Cleotilde Gonzalez
2025	J	`jnl`	Grounded Persuasive Language Generation for Automated Marketing. CoRR Jibang Wu, Chenghao Yang, Simon Mahns, Chaoqi Wang, Hao Zhu, Fei Fang, Haifeng Xu
2025	A*	`conf`	Improving Community-Participated Patrol for Anti-Poaching. AAAI Yufei Wu, Yixuan Even Xu, Xuming Zhang, Duo Liu, Shibing Zhu, Fei Fang
2025	A*	`conf`	LICORICE: Label-Efficient Concept-Based Interpretable Reinforcement Learning. ICLR Zhuorui Ye, Stephanie Milani, Geoffrey J. Gordon, Fei Fang
2025	J	`jnl`	Learning Instruction-Following Policies through Open-Ended Instruction Relabeling with Large Language Models. CoRR Zhicheng Zhang, Ziyan Wang, Yali Du, Fei Fang
2025	J	`jnl`	M3HF: Multi-agent Reinforcement Learning from Multi-phase Human Feedback of Mixed Quality. CoRR Ziyan Wang, Zhicheng Zhang, Fei Fang, Yali Du
2025	J	`jnl`	Making Teams and Influencing Agents: Efficiently Coordinating Decision Trees for Interpretable Multi-Agent Reinforcement Learning. CoRR Rex Chen, Stephanie Milani, Zhicheng Zhang, Norman M. Sadeh, Fei Fang
2025	—	`conf`	Missing Pieces: How Do Designs that Expose Uncertainty Longitudinally Impact Trust in AI Decision Aids? An In Situ Study of Gig Drivers. FAccT Rex Chen, Ruiyi Wang, Norman M. Sadeh, Fei Fang
2025	A*	`conf`	M³HF: Multi-agent Reinforcement Learning from Multi-phase Human Feedback of Mixed Quality. ICML Ziyan Wang, Zhicheng Zhang, Fei Fang, Yali Du
2025	A*	`conf`	Navigating Security and Privacy Threats in Homeless Service Provision. USENIX Security Symposium Yuxi Wu, Ruoxi Zhang, Shiyue Liu, Mufei He, Aidan Hong, Jeremy J. Northup, Calla Kainaroi, Fei Fang, Hong Shen
2025	J	`jnl`	Not All Rollouts are Useful: Down-Sampling Rollouts in LLM Reinforcement Learning. CoRR Yixuan Even Xu, Yash Savani, Fei Fang, Zico Kolter
2025	J	`jnl`	On the Detection of Reviewer-Author Collusion Rings From Paper Bidding. Trans. Mach. Learn. Res. Steven Jecmen, Nihar B. Shah, Fei Fang, Leman Akoglu
2025	J	`jnl`	Out of the Past: An AI-Enabled Pipeline for Traffic Simulation from Noisy, Multimodal Detector Data and Stakeholder Feedback. CoRR Rex Chen, Karen Wu, John McCartney, Norman M. Sadeh, Fei Fang
2025	J	`jnl`	PeerCoPilot: A Language Model-Powered Assistant for Behavioral Health Organizations. CoRR Gao Mo, Naveen Raman, Megan Chai, Cindy Peng, Shannon Pagdon, Nev Jones, Hong Shen, Peggy Swarbrick, Fei Fang
2025	J	`jnl`	Persuasive Prediction via Decision Calibration. CoRR Jingwu Tang, Jiahao Zhang, Fei Fang, Zhiwei Steven Wu
2025	—	`conf`	REALM: A Dataset of Real-World LLM Use Cases. ACL (Findings) Jingwen Cheng, Kshitish Ghate, Wenyue Hua, William Yang Wang, Hong Shen, Fei Fang
2025	J	`jnl`	REALM: A Dataset of Real-World LLM Use Cases. CoRR Jingwen Cheng, Kshitish Ghate, Wenyue Hua, William Yang Wang, Hong Shen, Fei Fang
2025	J	`jnl`	RescueLens: LLM-Powered Triage and Action on Volunteer Feedback for Food Rescue. CoRR Naveen Raman, Jingwu Tang, Zhiyu Chen, Zheyuan Ryan Shi, Sean Hudson, Ameesh Kapoor, Fei Fang
2025	J	`jnl`	Strategic Planning and Rationalizing on Trees Make LLMs Better Debaters. CoRR Danqing Wang, Zhuorui Ye, Xinran Zhao, Fei Fang, Lei Li
2025	J	`jnl`	The Next Wave of AI for Social Impact: Challenges and Opportunities. IEEE Intell. Syst. Milind Tambe, Fei Fang, Andrew Perrault, Bryan Wilder
2025	—	`conf`	Training Users Against Human and GPT-4 Generated Social Engineering Attacks. HCI (49) Tyler Malloy, Maria José Ferreira, Fei Fang, Cleotilde Gonzalez
2025	J	`jnl`	Training Users Against Human and GPT-4 Generated Social Engineering Attacks. CoRR Tyler Malloy, Maria José Ferreira, Fei Fang, Cleotilde Gonzalez
2025	A*	`conf`	TypedThinker: Diversify Large Language Model Reasoning with Typed Thinking. ICLR Danqing Wang, Jianxin Ma, Fei Fang, Lei Li
2024	A*	`conf`	Accelerate Multi-Agent Reinforcement Learning in Zero-Sum Games with Subgame Curriculum Learning. AAAI Jiayu Chen, Zelai Xu, Yunfei Li, Chao Yu, Jiaming Song, Huazhong Yang, Fei Fang, Yu Wang, Yi Wu
2024	J	`jnl`	An extensive study of security games with strategic informants. Artif. Intell. Weiran Shen, Minbiao Han, Weizhe Chen, Taoan Huang, Rohit Singh, Haifeng Xu, Fei Fang
2024	J	`jnl`	CBT-Bench: Evaluating Large Language Models on Assisting Cognitive Behavior Therapy. CoRR Mian Zhang, Xianjun Yang, Xinlu Zhang, Travis Labrum, Jamie C. Chiu, Shaun M. Eack, Fei Fang, William Yang Wang, Zhiyu Zoey Chen
2024	J	`jnl`	Concept-Based Interpretable Reinforcement Learning with Limited to No Human Labels. CoRR Zhuorui Ye, Stephanie Milani, Geoffrey J. Gordon, Fei Fang
2024	J	`jnl`	Cooperative Strategic Planning Enhances Reasoning Capabilities in Large Language Models. CoRR Danqing Wang, Zhuorui Ye, Fei Fang, Lei Li
2024	J	`jnl`	Deviate or Not: Learning Coalition Structures with Multiple-bit Observations in Games. CoRR Yixuan Even Xu, Zhe Feng, Fei Fang
2024	J	`jnl`	Explainable Reinforcement Learning: A Survey and Comparative Review. ACM Comput. Surv. Stephanie Milani, Nicholay Topin, Manuela Veloso, Fei Fang
2024	A*	`conf`	Global Rewards in Restless Multi-Armed Bandits. NeurIPS Naveen Raman, Zheyuan Shi, Fei Fang
2024	J	`jnl`	Global Rewards in Restless Multi-Armed Bandits. CoRR Naveen Raman, Zheyuan Ryan Shi, Fei Fang
2024	J	`jnl`	Improving Community-Participated Patrol for Anti-Poaching. CoRR Yufei Wu, Yixuan Even Xu, Xuming Zhang, Duo Liu, Shibing Zhu, Fei Fang
2024	A*	`conf`	Language Agents with Reinforcement Learning for Strategic Play in the Werewolf Game. ICML Zelai Xu, Chao Yu, Fei Fang, Yu Wang, Yi Wu
2024	A*	`conf`	Learning Coalition Structures with Games. AAAI Yixuan Even Xu, Chun Kai Ling, Fei Fang
2024	J	`jnl`	Leveraging a Cognitive Model to Measure Subjective Similarity of Human and GPT-4 Written Content. CoRR Tyler Malloy, Maria José Ferreira, Fei Fang, Cleotilde Gonzalez
2024	A	`conf`	MABL: Bi-Level Latent-Variable World Model for Sample-Efficient Multi-Agent Reinforcement Learning. AAMAS Aravind Venugopal, Stephanie Milani, Fei Fang, Balaraman Ravindran
2024	A	`conf`	MESA: Cooperative Meta-Exploration in Multi-Agent Learning through Exploiting State-Action Space Structure. AAMAS Zhicheng Zhang, Yancheng Liang, Yi Wu, Fei Fang
2024	J	`jnl`	MESA: Cooperative Meta-Exploration in Multi-Agent Learning through Exploiting State-Action Space Structure. CoRR Zhicheng Zhang, Yancheng Liang, Yi Wu, Fei Fang
2024	J	`jnl`	Missing Pieces: How Framing Uncertainty Impacts Longitudinal Trust in AI Decision Aids - A Gig Driver Case Study. CoRR Rex Chen, Ruiyi Wang, Norman Sadeh, Fei Fang
2024	A*	`conf`	Multi-Agent Imitation Learning: Value is Easy, Regret is Hard. NeurIPS Jingwu Tang, Gokul Swamy, Fei Fang, Zhiwei Steven Wu
2024	J	`jnl`	Multi-Agent Imitation Learning: Value is Easy, Regret is Hard. CoRR Jingwu Tang, Gokul Swamy, Fei Fang, Zhiwei Steven Wu
2024	J	`jnl`	On the Detection of Reviewer-Author Collusion Rings From Paper Bidding. CoRR Steven Jecmen, Nihar B. Shah, Fei Fang, Leman Akoglu
2024	J	`jnl`	PATIENT-Ψ: Using Large Language Models to Simulate Patients for Training Mental Health Professionals. CoRR Ruiyi Wang, Stephanie Milani, Jamie C. Chiu, Shaun M. Eack, Travis Labrum, Samuel M. Murphy, Nev Jones, Kate Hardy, Hong Shen, Fei Fang, Zhiyu Zoey Chen
2024	A*	`conf`	PATIENT-ψ: Using Large Language Models to Simulate Patients for Training Mental Health Professionals. EMNLP Ruiyi Wang, Stephanie Milani, Jamie C. Chiu, Jiayin Zhi, Shaun M. Eack, Travis Labrum, Samuel M. Murphy, Nev Jones, Kate Hardy, Hong Shen, Fei Fang, Zhiyu Chen
2024	A*	`conf`	Predicting and Presenting Task Difficulty for Crowdsourcing Food Rescue Platforms. WWW Zheyuan Ryan Shi, Jiayin Zhi, Siqi Zeng, Zhicheng Zhang, Ameesh Kapoor, Sean Hudson, Hong Shen, Fei Fang
2024	J	`jnl`	RELand: Risk Estimation of Landmines via Interpretable Invariant Risk Minimization. ACM J. Comput. Sustain. Soc. Mateo Dulce Rubio, Siqi Zeng, Qi Wang, Didier Alvarado, Francisco Moreno Rivera, Hoda Heidari, Fei Fang
2024	J	`jnl`	Safe Multi-agent Reinforcement Learning with Natural Language Constraints. CoRR Ziyan Wang, Meng Fang, Tristan Tomilin, Fei Fang, Yali Du
2024	J	`jnl`	TypedThinker: Typed Thinking Improves Large Language Model Reasoning. CoRR Danqing Wang, Jianxin Ma, Fei Fang, Lei Li
2024	A*	`conf`	Where It Really Matters: Few-Shot Environmental Conservation Media Monitoring for Low-Resource Languages. AAAI Sameer Jain, Sedrick Scott Keh, Shova Chettri, Karun Dewan, Pablo Izquierdo, Johanna Prussman, Pooja Shrestha, César Suárez, Zheyuan Ryan Shi, Lei Li, Fei Fang
2024	J	`jnl`	Where It Really Matters: Few-Shot Environmental Conservation Media Monitoring for Low-Resource Languages. CoRR Sameer Jain, Sedrick Scott Keh, Shova Chettri, Karun Dewan, Pablo Izquierdo, Johanna Prussman, Pooja Shrestha, César Suárez, Zheyuan Ryan Shi, Lei Li, Fei Fang
2023	A*	`conf`	A Dataset on Malicious Paper Bidding in Peer Review. WWW Steven Jecmen, Minji Yoon, Vincent Conitzer, Nihar B. Shah, Fei Fang
2023	A*	`conf`	A One-Size-Fits-All Approach to Improving Randomness in Paper Assignment. NeurIPS Yixuan Even Xu, Steven Jecmen, Zimeng Song, Fei Fang
2023	J	`jnl`	A One-Size-Fits-All Approach to Improving Randomness in Paper Assignment. CoRR Yixuan Even Xu, Steven Jecmen, Zimeng Song, Fei Fang
2023	J	`jnl`	Accelerate Multi-Agent Reinforcement Learning in Zero-Sum Games with Subgame Curriculum Learning. CoRR Jiayu Chen, Zelai Xu, Yunfei Li, Chao Yu, Jiaming Song, Huazhong Yang, Fei Fang, Yu Wang, Yi Wu
2023	J	`jnl`	Bi-level Latent Variable Model for Sample-Efficient Multi-Agent Reinforcement Learning. CoRR Aravind Venugopal, Stephanie Milani, Fei Fang, Balaraman Ravindran
2023	—	`ed.`	Decision and Game Theory for Security - 13th International Conference, GameSec 2022, Pittsburgh, PA, USA, October 26-28, 2022, Proceedings GameSec Fei Fang, Haifeng Xu, Yezekael Hayel
2023	A*	`conf`	Explainable Action Advising for Multi-Agent Reinforcement Learning. ICRA Yue Guo, Joseph Campbell, Simon Stepputtis, Ruiyu Li, Dana Hughes, Fei Fang, Katia P. Sycara
2023	A*	`conf`	Function Approximation for Solving Stackelberg Equilibrium in Large Perfect Information Games. AAAI Chun Kai Ling, J. Zico Kolter, Fei Fang
2023	A	`conf`	Harvester: Principled Factorization-based Temporal Tensor Granularity Estimation. SDM Ravdeep S. Pasricha, Uday Singh Saini, Nicholas D. Sidiropoulos, Fei Fang, Kevin Chan, Evangelos E. Papalexakis
2023	J	`jnl`	Language Agents with Reinforcement Learning for Strategic Play in the Werewolf Game. CoRR Zelai Xu, Chao Yu, Fei Fang, Yu Wang, Yi Wu
2023	J	`jnl`	Learning Coalition Structures with Games. CoRR Yixuan Even Xu, Chun Kai Ling, Fei Fang
2023	—	`conf`	Multi-defender Security Games with Schedules. GameSec Zimeng Song, Chun Kai Ling, Fei Fang
2023	J	`jnl`	Multi-defender Security Games with Schedules. CoRR Zimeng Song, Chun Kai Ling, Fei Fang
2023	A*	`conf`	Navigates Like Me: Understanding How People Evaluate Human-Like AI in Video Games. CHI Stephanie Milani, Arthur Juliani, Ida Momennejad, Raluca Georgescu, Jaroslaw Rzepecki, Alison Shaw, Gavin Costello, Fei Fang, Sam Devlin, Katja Hofmann
2023	J	`jnl`	Navigates Like Me: Understanding How People Evaluate Human-Like AI in Video Games. CoRR Stephanie Milani, Arthur Juliani, Ida Momennejad, Raluca Georgescu, Jaroslaw Rzepecki, Alison Shaw, Gavin Costello, Fei Fang, Sam Devlin, Katja Hofmann
2023	A*	`conf`	NewsPanda: Media Monitoring for Timely Conservation Action. AAAI 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
2023	J	`jnl`	NewsPanda: Media Monitoring for Timely Conservation Action. CoRR 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
2023	Misc	`conf`	Purpose in the Machine: Do Traffic Simulators Produce Distributionally Equivalent Outcomes for Reinforcement Learning Applications? WSC Rex Chen, Kathleen M. Carley, Fei Fang, Norman M. Sadeh
2023	J	`jnl`	Purpose in the Machine: Do Traffic Simulators Produce Distributionally Equivalent Outcomes for Reinforcement Learning Applications? CoRR Rex Chen, Kathleen M. Carley, Fei Fang, Norman M. Sadeh
2023	J	`jnl`	RELand: Risk Estimation of Landmines via Interpretable Invariant Risk Minimization. CoRR Mateo Dulce Rubio, Siqi Zeng, Qi Wang, Didier Alvarado, Francisco Moreno Rivera, Hoda Heidari, Fei Fang
2023	J	`jnl`	Testing for Reviewer Anchoring in Peer Review: A Randomized Controlled Trial. CoRR Ryan Liu, Steven Jecmen, Vincent Conitzer, Fei Fang, Nihar B. Shah
2022	J	`jnl`	A Dataset on Malicious Paper Bidding in Peer Review. CoRR Steven Jecmen, Minji Yoon, Vincent Conitzer, Nihar B. Shah, Fei Fang
2022	J	`jnl`	A Survey of Explainable Reinforcement Learning. CoRR Stephanie Milani, Nicholay Topin, Manuela Veloso, Fei Fang
2022	—	`ed.`	Autonomous Agents and Multiagent Systems. Best and Visionary Papers - AAMAS 2022 Workshops, Virtual Event, May 9-13, 2022, Revised Selected Papers AAMAS Workshops Francisco S. Melo, Fei Fang
2022	A*	`conf`	Bandit Data-Driven Optimization for Crowdsourcing Food Rescue Platforms. AAAI Zheyuan Ryan Shi, Zhiwei Steven Wu, Rayid Ghani, Fei Fang
2022	J	`jnl`	Cooperative Communication Between Two Transiently Powered Sensor Nodes by Reinforcement Learning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Yawen Wu, Zhenge Jia, Fei Fang, Jingtong Hu
2022	A*	`conf`	Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation. NeurIPS Peide Huang, Mengdi Xu, Jiacheng Zhu, Laixi Shi, Fei Fang, Ding Zhao
2022	J	`jnl`	Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation. CoRR Peide Huang, Mengdi Xu, Jiacheng Zhu, Laixi Shi, Fei Fang, Ding Zhao
2022	J	`jnl`	Explainable Action Advising for Multi-Agent Reinforcement Learning. CoRR Yue Guo, Joseph Campbell, Simon Stepputtis, Ruiyu Li, Dana Hughes, Fei Fang, Katia P. Sycara
2022	J	`jnl`	Function Approximation for Solving Stackelberg Equilibrium in Large Perfect Information Games. CoRR Chun Kai Ling, J. Zico Kolter, Fei Fang
2022	A*	`conf`	Inverse Game Theory for Stackelberg Games: the Blessing of Bounded Rationality. NeurIPS Jibang Wu, Weiran Shen, Fei Fang, Haifeng Xu
2022	J	`jnl`	Inverse Game Theory for Stackelberg Games: the Blessing of Bounded Rationality. CoRR Jibang Wu, Weiran Shen, Fei Fang, Haifeng Xu
2022	J	`jnl`	MAVIPER: Learning Decision Tree Policies for Interpretable Multi-Agent Reinforcement Learning. CoRR Stephanie Milani, Zhicheng Zhang, Nicholay Topin, Zheyuan Ryan Shi, Charles A. Kamhoua, Evangelos E. Papalexakis, Fei Fang
2022	—	`conf`	MAVIPER: Learning Decision Tree Policies for Interpretable Multi-agent Reinforcement Learning. ECML/PKDD (4) Stephanie Milani, Zhicheng Zhang, Nicholay Topin, Zheyuan Ryan Shi, Charles A. Kamhoua, Evangelos E. Papalexakis, Fei Fang
2022	A	`conf`	Near-Optimal Reviewer Splitting in Two-Phase Paper Reviewing and Conference Experiment Design. AAMAS Steven Jecmen, Hanrui Zhang, Ryan Liu, Fei Fang, Vincent Conitzer, Nihar B. Shah
2022	B	`conf`	Near-Optimal Reviewer Splitting in Two-Phase Paper Reviewing and Conference Experiment Design. HCOMP Steven Jecmen, Hanrui Zhang, Ryan Liu, Fei Fang, Vincent Conitzer, Nihar B. Shah
2022	A*	`conf`	PerfectDou: Dominating DouDizhu with Perfect Information Distillation. NeurIPS Guan Yang, Minghuan Liu, Weijun Hong, Weinan Zhang, Fei Fang, Guangjun Zeng, Yue Lin
2022	J	`jnl`	PerfectDou: Dominating DouDizhu with Perfect Information Distillation. CoRR Yang Guan, Minghuan Liu, Weijun Hong, Weinan Zhang, Fei Fang, Guangjun Zeng, Yue Lin
2022	A*	`conf`	Ranked Prioritization of Groups in Combinatorial Bandit Allocation. IJCAI Lily Xu, Arpita Biswas, Fei Fang, Milind Tambe
2022	J	`jnl`	Ranked Prioritization of Groups in Combinatorial Bandit Allocation. CoRR Lily Xu, Arpita Biswas, Fei Fang, Milind Tambe
2022	A*	`conf`	Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training. IJCAI Peide Huang, Mengdi Xu, Fei Fang, Ding Zhao
2022	J	`jnl`	Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training. CoRR Peide Huang, Mengdi Xu, Fei Fang, Ding Zhao
2022	A*	`conf`	Safe Subgame Resolving for Extensive Form Correlated Equilibrium. AAAI Chun Kai Ling, Fei Fang
2022	J	`jnl`	Safe Subgame Resolving for Extensive Form Correlated Equilibrium. CoRR Chun Kai Ling, Fei Fang
2022	J	`jnl`	Spatio-Temporal Pricing for Ridesharing Platforms. Oper. Res. Hongyao Ma, Fei Fang, David C. Parkes
2022	—	`conf`	The Real Deal: A Review of Challenges and Opportunities in Moving Reinforcement Learning-Based Traffic Signal Control Systems Towards Reality. ATT@IJCAI Rex Chen, Fei Fang, Norman M. Sadeh
2022	J	`jnl`	The Real Deal: A Review of Challenges and Opportunities in Moving Reinforcement Learning-Based Traffic Signal Control Systems Towards Reality. CoRR Rex Chen, Fei Fang, Norman M. Sadeh
2022	J	`jnl`	Tradeoffs in Preventing Manipulation in Paper Bidding for Reviewer Assignment. CoRR Steven Jecmen, Nihar B. Shah, Fei Fang, Vincent Conitzer
2021	A*	`conf`	A Recommender System for Crowdsourcing Food Rescue Platforms. WWW Zheyuan Ryan Shi, Leah Lizarondo, Fei Fang
2021	J	`jnl`	AGNT SI: agents and multiagent systems for social good. Auton. Agents Multi Agent Syst. Fei Fang
2021	A*	`conf`	Data-Driven Multimodal Patrol Planning for Anti-poaching. AAAI Weizhe Chen, Weinan Zhang, Duo Liu, Weiping Li, Xiaojun Shi, Fei Fang
2021	A*	`conf`	Discovering Diverse Multi-Agent Strategic Behavior via Reward Randomization. ICLR Zhenggang Tang, Chao Yu, Boyuan Chen, Huazhe Xu, Xiaolong Wang, Fei Fang, Simon Shaolei Du, Yu Wang, Yi Wu
2021	J	`jnl`	Discovering Diverse Multi-Agent Strategic Behavior via Reward Randomization. CoRR Zhenggang Tang, Chao Yu, Boyuan Chen, Huazhe Xu, Xiaolong Wang, Fei Fang, Simon S. Du, Yu Wang, Yi Wu
2021	A*	`conf`	Dual-Mandate Patrols: Multi-Armed Bandits for Green Security. AAAI Lily Xu, Elizabeth Bondi, Fei Fang, Andrew Perrault, Kai Wang, Milind Tambe
2021	J	`jnl`	Efficiency, Fairness, and Stability in Non-Commercial Peer-to-Peer Ridesharing. CoRR Hoon Oh, Yanhan (Savannah) Tang, Zong Zhang, Alexandre Jacquillat, Fei Fang
2021	—	`conf`	Fighting the Fog: Evaluating the Clarity of Privacy Disclosures in the Age of CCPA. WPES@CCS Rex Chen, Fei Fang, Thomas B. Norton, Aleecia M. McDonald, Norman M. Sadeh
2021	J	`jnl`	Fighting the Fog: Evaluating the Clarity of Privacy Disclosures in the Age of CCPA. CoRR Rex Chen, Fei Fang, Thomas B. Norton, Aleecia M. McDonald, Norman M. Sadeh
2021	—	`conf`	Game Theoretic Models for Cyber Deception. MTD@CCS Fei Fang
2021	A*	`conf`	Iterative Bounding MDPs: Learning Interpretable Policies via Non-Interpretable Methods. AAAI Nicholay Topin, Stephanie Milani, Fei Fang, Manuela Veloso
2021	J	`jnl`	Iterative Bounding MDPs: Learning Interpretable Policies via Non-Interpretable Methods. CoRR Nicholay Topin, Stephanie Milani, Fei Fang, Manuela Veloso
2021	J	`jnl`	Near-Optimal Reviewer Splitting in Two-Phase Paper Reviewing and Conference Experiment Design. CoRR Steven Jecmen, Hanrui Zhang, Ryan Liu, Fei Fang, Vincent Conitzer, Nihar B. Shah
2021	C	`conf`	Poster: Pallet Estimation for Food Bank Logistics Management. COMPASS Alison Hau, Fei Fang, Zheyuan Ryan Shi
2021	J	`jnl`	Robust Reinforcement Learning Under Minimax Regret for Green Security. CoRR Lily Xu, Andrew Perrault, Fei Fang, Haipeng Chen, Milind Tambe
2021	A	`conf`	Robust reinforcement learning under minimax regret for green security. UAI Lily Xu, Andrew Perrault, Fei Fang, Haipeng Chen, Milind Tambe
2021	—	`conf`	Signal Instructed Coordination in Cooperative Multi-agent Reinforcement Learning. DAI Liheng Chen, Hongyi Guo, Yali Du, Fei Fang, Haifeng Zhang, Weinan Zhang, Yong Yu
2021	A*	`conf`	Temporal Induced Self-Play for Stochastic Bayesian Games. IJCAI Weizhe Chen, Zihan Zhou, Yi Wu, Fei Fang
2021	J	`jnl`	Temporal Induced Self-Play for Stochastic Bayesian Games. CoRR Weizhe Chen, Zihan Zhou, Yi Wu, Fei Fang
2020	J	`jnl`	AI for Social Impact: Learning and Planning in the Data-to-Deployment Pipeline. CoRR Andrew Perrault, Fei Fang, Arunesh Sinha, Milind Tambe
2020	J	`jnl`	Artificial Intelligence for Social Good: A Survey. CoRR Zheyuan Ryan Shi, Claire Wang, Fei Fang
2020	J	`jnl`	Artificial Intelligence for Social Impact: Learning and Planning in the Data-to-Deployment Pipeline. AI Mag. Andrew Perrault, Fei Fang, Arunesh Sinha, Milind Tambe
2020	J	`jnl`	Bandit Data-driven Optimization: AI for Social Good and Beyond. CoRR Zheyuan Ryan Shi, Zhiwei Steven Wu, Rayid Ghani, Fei Fang
2020	A*	`conf`	Deep Archimedean Copulas. NeurIPS Chun Kai Ling, Fei Fang, J. Zico Kolter
2020	J	`jnl`	Deep Archimedean Copulas. CoRR Chun Kai Ling, Fei Fang, J. Zico Kolter
2020	A*	`conf`	Draining the Water Hole: Mitigating Social Engineering Attacks with CyberTWEAK. AAAI Zheyuan Ryan Shi, Aaron Schlenker, Brian Hay, Daniel Bittleston, Siyu Gao, Emily Peterson, John Trezza, Fei Fang
2020	J	`jnl`	Dual-Mandate Patrols: Multi-Armed Bandits for Green Security. CoRR Lily Xu, Elizabeth Bondi, Fei Fang, Andrew Perrault, Kai Wang, Milind Tambe
2020	A*	`conf`	Evolutionary Population Curriculum for Scaling Multi-Agent Reinforcement Learning. ICLR Qian Long, Zihan Zhou, Abhinav Gupta, Fei Fang, Yi Wu, Xiaolong Wang
2020	J	`jnl`	Evolutionary Population Curriculum for Scaling Multi-Agent Reinforcement Learning. CoRR Qian Long, Zihan Zhou, Abhinav Gupta, Fei Fang, Yi Wu, Xiaolong Wang
2020	—	`ch.`	Game Theoretic Cyber Deception to Foil Adversarial Network Reconnaissance. Adaptive Autonomous Secure Cyber Systems Aaron Schlenker, Omkar Thakoor, Haifeng Xu, Fei Fang, Milind Tambe, Phebe Vayanos
2020	A	`conf`	Green Security Game with Community Engagement. AAMAS Taoan Huang, Weiran Shen, David Zeng, Tianyu Gu, Rohit Singh, Fei Fang
2020	J	`jnl`	Green Security Game with Community Engagement. CoRR Taoan Huang, Weiran Shen, David Zeng, Tianyu Gu, Rohit Singh, Fei Fang
2020	—	`conf`	Harnessing the Power of Deception in Attack Graph-Based Security Games. GameSec Stephanie Milani, Weiran Shen, Kevin S. Chan, Sridhar Venkatesan, Nandi O. Leslie, Charles A. Kamhoua, Fei Fang
2020	A*	`conf`	Improving Efficiency of Volunteer-Based Food Rescue Operations. AAAI Zheyuan Ryan Shi, Yiwen Yuan, Kimberly Lo, Leah Lizarondo, Fei Fang
2020	—	`conf`	Learning and Planning in the Feature Deception Problem. GameSec Zheyuan Ryan Shi, Ariel D. Procaccia, Kevin S. Chan, Sridhar Venkatesan, Noam Ben-Asher, Nandi O. Leslie, Charles A. Kamhoua, Fei Fang
2020	A*	`conf`	Mitigating Manipulation in Peer Review via Randomized Reviewer Assignments. NeurIPS Steven Jecmen, Hanrui Zhang, Ryan Liu, Nihar B. Shah, Vincent Conitzer, Fei Fang
2020	J	`jnl`	Mitigating Manipulation in Peer Review via Randomized Reviewer Assignments. CoRR Steven Jecmen, Hanrui Zhang, Ryan Liu, Nihar B. Shah, Vincent Conitzer, Fei Fang
2020	J	`jnl`	Spatio-temporal pricing for ridesharing platforms. SIGecom Exch. Hongyao Ma, Fei Fang, David C. Parkes
2020	A*	`conf`	To Signal or Not To Signal: Exploiting Uncertain Real-Time Information in Signaling Games for Security and Sustainability. AAAI Elizabeth Bondi, Hoon Oh, Haifeng Xu, Fei Fang, Bistra Dilkina, Milind Tambe
2020	A*	`conf`	When to Follow the Tip: Security Games with Strategic Informants. IJCAI Weiran Shen, Weizhe Chen, Taoan Huang, Rohit Singh, Fei Fang
2019	B	`conf`	A Robot's Expressive Language Affects Human Strategy and Perceptions in a Competitive Game. RO-MAN Aaron M. Roth, Samantha Reig, Umang Bhatt, Jonathan Shulgach, Tamara Amin, Afsaneh Doryab, Fei Fang, Manuela Veloso
2019	J	`jnl`	A Robot's Expressive Language Affects Human Strategy and Perceptions in a Competitive Game. CoRR Aaron M. Roth, Samantha Reig, Umang Bhatt, Jonathan Shulgach, Tamara Amin, Afsaneh Doryab, Fei Fang, Manuela Veloso
2019	J	`jnl`	Artificial Intelligence for Social Good. CoRR Gregory D. Hager, Ann W. Drobnis, Fei Fang, Rayid Ghani, Amy Greenwald, Terah Lyons, David C. Parkes, Jason Schultz, Suchi Saria, Stephen F. Smith, Milind Tambe
2019	A	`conf`	Broken Signals in Security Games: Coordinating Patrollers and Sensors in the Real World. AAMAS Elizabeth Bondi, Hoon Oh, Haifeng Xu, Fei Fang, Bistra Dilkina, Milind Tambe
2019	J	`jnl`	Computational sustainability: computing for a better world and a sustainable future. Commun. ACM Carla P. Gomes, Thomas G. Dietterich, Christopher Barrett, Jon Conrad, Bistra Dilkina, Stefano Ermon, Fei Fang, Andrew Farnsworth, Alan Fern, Xiaoli Z. Fern, Daniel Fink, Douglas H. Fisher, Alexander Flecker, Daniel Freund, Angela Fuller, John M. Gregoire, John E. Hopcroft, Steve Kelling, J. Zico Kolter, Warren B. Powell, Nicole D. Sintov, John S. Selker, Bart Selman, Daniel Sheldon, David B. Shmoys, Milind Tambe, Weng-Keen Wong, Christopher Wood, Xiaojian Wu, Yexiang Xue, Amulya Yadav, Abdul-Aziz Yakubu, Mary Lou Zeeman
2019	Misc	`conf`	Cooperative communication between two transiently powered sensors by reinforcement learning: work-in-progress. CODES+ISSS Yawen Wu, Zhenge Jia, Fei Fang, Jingtong Hu
2019	A*	`conf`	Correlation in Extensive-Form Games: Saddle-Point Formulation and Benchmarks. NeurIPS Gabriele Farina, Chun Kai Ling, Fei Fang, Tuomas Sandholm
2019	J	`jnl`	Correlation in Extensive-Form Games: Saddle-Point Formulation and Benchmarks. CoRR Gabriele Farina, Chun Kai Ling, Fei Fang, Tuomas Sandholm
2019	—	`conf`	Cyber Camouflage Games for Strategic Deception. GameSec Omkar Thakoor, Milind Tambe, Phebe Vayanos, Haifeng Xu, Christopher Kiekintveld, Fei Fang
2019	A	`conf`	Deep Fictitious Play for Games with Continuous Action Spaces. AAMAS Nitin Kamra, Umang Gupta, Kai Wang, Fei Fang, Yan Liu, Milind Tambe
2019	A*	`conf`	Deep Reinforcement Learning for Green Security Games with Real-Time Information. AAAI Yufei Wang, Zheyuan Ryan Shi, Lantao Yu, Yi Wu, Rohit Singh, Lucas Joppa, Fei Fang
2019	—	`conf`	DeepFP for Finding Nash Equilibrium in Continuous Action Spaces. GameSec Nitin Kamra, Umang Gupta, Kai Wang, Fei Fang, Yan Liu, Milind Tambe
2019	A	`conf`	Dynamic Trip-Vehicle Dispatch with Scheduled and On-Demand Requests. UAI Taoan Huang, Bohui Fang, Xiaohui Bei, Fei Fang
2019	J	`jnl`	Dynamic Trip-Vehicle Dispatch with Scheduled and On-Demand Requests. CoRR Taoan Huang, Bohui Fang, Xiaohui Bei, Fei Fang
2019	A*	`conf`	Efficient Regret Minimization Algorithm for Extensive-Form Correlated Equilibrium. NeurIPS Gabriele Farina, Chun Kai Ling, Fei Fang, Tuomas Sandholm
2019	J	`jnl`	Efficient Regret Minimization Algorithm for Extensive-Form Correlated Equilibrium. CoRR Gabriele Farina, Chun Kai Ling, Fei Fang, Tuomas Sandholm
2019	A*	`conf`	Integrating Learning with Game Theory for Societal Challenges. IJCAI Fei Fang
2019	A*	`conf`	Large Scale Learning of Agent Rationality in Two-Player Zero-Sum Games. AAAI Chun Kai Ling, Fei Fang, J. Zico Kolter
2019	J	`jnl`	Large Scale Learning of Agent Rationality in Two-Player Zero-Sum Games. CoRR Chun Kai Ling, Fei Fang, J. Zico Kolter
2019	J	`jnl`	Learning and Planning in Feature Deception Games. CoRR Zheyuan Ryan Shi, Ariel D. Procaccia, Kevin S. Chan, Sridhar Venkatesan, Noam Ben-Asher, Nandi O. Leslie, Charles A. Kamhoua, Fei Fang
2019	C	`conf`	Modeling observability in adaptive systems to defend against advanced persistent threats. MEMOCODE Cody Kinneer, Ryan Wagner, Fei Fang, Claire Le Goues, David Garlan
2019	A*	`conf`	On the Inducibility of Stackelberg Equilibrium for Security Games. AAAI Qingyu Guo, Jiarui Gan, Fei Fang, Long Tran-Thanh, Milind Tambe, Bo An
2019	A	`conf`	Optimal Trip-Vehicle Dispatch with Multi-Type Requests. AAMAS Taoan Huang, Bohui Fang, Hoon Oh, Xiaohui Bei, Fei Fang
2019	A*	`conf`	Robust Multi-Agent Reinforcement Learning via Minimax Deep Deterministic Policy Gradient. AAAI Shihui Li, Yi Wu, Xinyue Cui, Honghua Dong, Fei Fang, Stuart Russell
2019	J	`jnl`	Signal Instructed Coordination in Team Competition. CoRR Liheng Chen, Hongyi Guo, Haifeng Zhang, Fei Fang, Yaoming Zhu, Ming Zhou, Weinan Zhang, Qing Wang, Yong Yu
2019	A*	`conf`	Spatio-Temporal Pricing for Ridesharing Platforms. EC Hongyao Ma, Fei Fang, David C. Parkes
2019	J	`jnl`	Towards Thwarting Social Engineering Attacks. CoRR Zheyuan Ryan Shi, Aaron Schlenker, Brian Hay, Fei Fang
2019	A	`conf`	Using Game Theory in Real Time in the Real World: A Conservation Case Study. AAMAS Elizabeth Bondi, Hoon Oh, Haifeng Xu, Fei Fang, Bistra Dilkina, Milind Tambe
2018	C	`conf`	AirSim-W: A Simulation Environment for Wildlife Conservation with UAVs. COMPASS Elizabeth Bondi, Debadeepta Dey, Ashish Kapoor, Jim Piavis, Shital Shah, Fei Fang, Bistra Dilkina, Robert Hannaford, Arvind Iyer, Lucas Joppa, Milind Tambe
2018	A	`conf`	Deceiving Cyber Adversaries: A Game Theoretic Approach. AAMAS Aaron Schlenker, Omkar Thakoor, Haifeng Xu, Fei Fang, Milind Tambe, Long Tran-Thanh, Phebe Vayanos, Yevgeniy Vorobeychik
2018	—	`conf`	Deep Reinforcement Learning for Green Security Game with Online Information. AAAI Workshops Lantao Yu, Yi Wu, Rohit Singh, Lucas Joppa, Fei Fang
2018	J	`jnl`	Deep Reinforcement Learning for Green Security Games with Real-Time Information. CoRR Yufei Wang, Zheyuan Ryan Shi, Lantao Yu, Yi Wu, Rohit Singh, Lucas Joppa, Fei Fang
2018	A*	`conf`	Designing the Game to Play: Optimizing Payoff Structure in Security Games. IJCAI Zheyuan Ryan Shi, Ziye Tang, Long Tran-Thanh, Rohit Singh, Fei Fang
2018	J	`jnl`	Designing the Game to Play: Optimizing Payoff Structure in Security Games. CoRR Zheyuan Ryan Shi, Ziye Tang, Long Tran-Thanh, Rohit Singh, Fei Fang
2018	—	`conf`	Evaluation of Predictive Models for Wildlife Poaching Activity through Controlled Field Test in Uganda. AAAI Workshops Shahrzad Gholami, Benjamin J. Ford, Debarun Kar, Fei Fang, Milind Tambe, Andrew J. Plumptre, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Mustapha Nsubaga, Joshua Mabonga
2018	C	`conf`	Exploiting Data and Human Knowledge for Predicting Wildlife Poaching. COMPASS Swaminathan Gurumurthy, Lantao Yu, Chenyan Zhang, Yongchao Jin, Weiping Li, Xiaodong Zhang, Fei Fang
2018	J	`jnl`	Exploiting Data and Human Knowledge for Predicting Wildlife Poaching. CoRR Swaminathan Gurumurthy, Lantao Yu, Chenyan Zhang, Yongchao Jin, Weiping Li, Haidong Zhang, Fei Fang
2018	A	`conf`	Inducible Equilibrium for Security Games. AAMAS Qingyu Guo, Jiarui Gan, Fei Fang, Long Tran-Thanh, Milind Tambe, Bo An
2018	J	`jnl`	On the Inducibility of Stackelberg Equilibrium for Security Games. CoRR Qingyu Guo, Jiarui Gan, Fei Fang, Long Tran-Thanh, Milind Tambe, Bo An
2018	A*	`conf`	Policy Learning for Continuous Space Security Games Using Neural Networks. AAAI Nitin Kamra, Umang Gupta, Fei Fang, Yan Liu, Milind Tambe
2018	A*	`conf`	SPOT Poachers in Action: Augmenting Conservation Drones With Automatic Detection in Near Real Time. AAAI Elizabeth Bondi, Fei Fang, Mark Hamilton, Debarun Kar, Donnabell Dmello, Jongmoo Choi, Robert Hannaford, Arvind Iyer, Lucas Joppa, Milind Tambe, Ram Nevatia
2018	J	`jnl`	Spatio-Temporal Pricing for Ridesharing Platforms. CoRR Hongyao Ma, Fei Fang, David C. Parkes
2018	A*	`conf`	Stackelberg Security Games: Looking Beyond a Decade of Success. IJCAI Arunesh Sinha, Fei Fang, Bo An, Christopher Kiekintveld, Milind Tambe
2018	J	`jnl`	The Impact of Humanoid Affect Expression on Human Behavior in a Game-Theoretic Setting. CoRR Aaron M. Roth, Umang Bhatt, Tamara Amin, Afsaneh Doryab, Fei Fang, Manuela M. Veloso
2018	A*	`conf`	What Game Are We Playing? End-to-end Learning in Normal and Extensive Form Games. IJCAI Chun Kai Ling, Fei Fang, J. Zico Kolter
2018	J	`jnl`	What game are we playing? End-to-end learning in normal and extensive form games. CoRR Chun Kai Ling, Fei Fang, J. Zico Kolter
2017	A	`conf`	Cloudy with a Chance of Poaching: Adversary Behavior Modeling and Forecasting with Real-World Poaching Data. AAMAS Debarun Kar, Benjamin J. Ford, Shahrzad Gholami, Fei Fang, Andrew J. Plumptre, Milind Tambe, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Mustapha Nsubaga, Joshua Mabonga
2017	—	`ed.`	Decision and Game Theory for Security - 8th International Conference, GameSec 2017, Vienna, Austria, October 23-25, 2017, Proceedings GameSec Stefan Rass, Bo An, Christopher Kiekintveld, Fei Fang, Stefan Schauer
2017	J	`jnl`	Keeping it Real: Using Real-World Problems to Teach AI to Diverse Audiences. AI Mag. Nicole D. Sintov, Debarun Kar, Thanh Hong Nguyen, Fei Fang, Kevin Hoffman, Arnaud Lyet, Milind Tambe
2017	—	`conf`	Optimal Patrol Planning for Green Security Games with Black-Box Attackers. GameSec Haifeng Xu, Benjamin J. Ford, Fei Fang, Bistra Dilkina, Andrew J. Plumptre, Milind Tambe, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Mustapha Nsubaga, Joshua Mabonga
2017	—	`conf`	Optimizing Peer Teaching to Enhance Team Performance. AAMAS Workshops (Selected Papers) Zheyuan Shi, Fei Fang
2017	J	`jnl`	PAWS - A Deployed Game-Theoretic Application to Combat Poaching. AI Mag. Fei Fang, Thanh Hong Nguyen, Rob Pickles, Wai Y. Lam, Gopalasamy R. Clements, Bo An, Amandeep Singh, Brian C. Schwedock, Milind Tambe, Andrew Lemieux
2017	J	`jnl`	Predicting poaching for wildlife Protection. IBM J. Res. Dev. Fei Fang, Thanh Hong Nguyen, Arunesh Sinha, Shahrzad Gholami, Andrew J. Plumptre, Lucas Joppa, Milind Tambe, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Rob Critchlow, Colin M. Beale
2017	J	`jnl`	Reports on the 2017 AAAI Spring Symposium Series. AI Mag. Jeannette Bohg, Xavier Boix, Nancy Chang, Elizabeth F. Churchill, Vivian Chu, Fei Fang, Jerome Feldman, Avelino J. Gonzalez, Takashi Kido, William F. Lawless, José L. Montaña, Santiago Ontañón, Jivko Sinapov, Donald A. Sofge, Luc Steels, Molly Wright Steenson, Keiki Takadama, Amulya Yadav
2017	—	`conf`	Taking It for a Test Drive: A Hybrid Spatio-Temporal Model for Wildlife Poaching Prediction Evaluated Through a Controlled Field Test. ECML/PKDD (3) Shahrzad Gholami, Benjamin J. Ford, Fei Fang, Andrew J. Plumptre, Milind Tambe, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Mustapha Nsubaga, Joshua Mabonga
2017	—	`conf`	VIOLA: Video Labeling Application for Security Domains. GameSec Elizabeth Bondi, Fei Fang, Debarun Kar, Venil Loyd Noronha, Donnabell Dmello, Milind Tambe, Arvind Iyer, Robert Hannaford
2017	J	`jnl`	Video Labeling for Automatic Video Surveillance in Security Domains. CoRR Elizabeth Bondi, Debarun Kar, Venil Loyd Noronha, Donnabell Dmello, Milind Tambe, Fei Fang, Arvind Iyer, Robert Hannaford
2016	—	`conf`	Abstraction Methods for Solving Graph-Based Security Games. AAMAS Workshops (Visionary Papers) Anjon Basak, Fei Fang, Thanh Hong Nguyen, Christopher Kiekintveld
2016	—	`conf`	Combining Graph Contraction and Strategy Generation for Green Security Games. GameSec Anjon Basak, Fei Fang, Thanh Hong Nguyen, Christopher Kiekintveld
2016	J	`jnl`	Comparing human behavior models in repeated Stackelberg security games: An extended study. Artif. Intell. Debarun Kar, Fei Fang, Francesco Maria Delle Fave, Nicole D. Sintov, Milind Tambe, Arnaud Lyet
2016	A*	`conf`	Deploying PAWS to Combat Poaching: Game-Theoretic Patrolling in Areas with Complex Terrain (Demonstration). AAAI Fei Fang, Thanh Hong Nguyen, Rob Pickles, Wai Y. Lam, Gopalasamy R. Clements, Bo An, Amandeep Singh, Milind Tambe
2016	A*	`conf`	Deploying PAWS: Field Optimization of the Protection Assistant for Wildlife Security. AAAI Fei Fang, Thanh Hong Nguyen, Rob Pickles, Wai Y. Lam, Gopalasamy R. Clements, Bo An, Amandeep Singh, Milind Tambe, Andrew Lemieux
2016	A*	`conf`	From the Lab to the Classroom and Beyond: Extending a Game-Based Research Platform for Teaching AI to Diverse Audiences. AAAI Nicole D. Sintov, Debarun Kar, Thanh Hong Nguyen, Fei Fang, Kevin Hoffman, Arnaud Lyet, Milind Tambe
2016	J	`jnl`	Green security games: apply game theory to addressing green security challenges. SIGecom Exch. Fei Fang, Thanh Hong Nguyen
2016	A*	`conf`	Three Strategies to Success: Learning Adversary Models in Security Games. IJCAI Nika Haghtalab, Fei Fang, Thanh Hong Nguyen, Arunesh Sinha, Ariel D. Procaccia, Milind Tambe
2015	A	`conf`	"A Game of Thrones": When Human Behavior Models Compete in Repeated Stackelberg Security Games. AAMAS Debarun Kar, Fei Fang, Francesco Maria Delle Fave, Nicole D. Sintov, Milind Tambe
2015	A	`conf`	Defender Strategies In Domains Involving Frequent Adversary Interaction. AAMAS Fei Fang, Peter Stone, Milind Tambe
2015	—	`conf`	Effectiveness of Probability Perception Modeling and Defender Strategy Generation Algorithms in Repeated Stackelberg Games: An Initial Report. AAAI Workshop: Computational Sustainability Debarun Kar, Fei Fang, Francesco Maria Delle Fave, Nicole D. Sintov, Milind Tambe, Arlette van Wissen
2015	J	`jnl`	Reports on the 2015 AAAI Spring Symposium Series. AI Mag. Nitin Agarwal, Sean Andrist, Dan Bohus, Fei Fang, Laurie Fenstermacher, Lalana Kagal, Takashi Kido, Christopher Kiekintveld, William F. Lawless, Huan Liu, Andrew McCallum, Hemant Purohit, Oshani Seneviratne, Keiki Takadama, Gavin Taylor
2015	A*	`conf`	When Security Games Go Green: Designing Defender Strategies to Prevent Poaching and Illegal Fishing. IJCAI Fei Fang, Peter Stone, Milind Tambe
2014	A*	`conf`	Robust Protection of Fisheries with COmPASS. AAAI William B. Haskell, Debarun Kar, Fei Fang, Milind Tambe, Sam Cheung, Elizabeth Denicola
2014	A*	`conf`	Solving Zero-Sum Security Games in Discretized Spatio-Temporal Domains. AAAI Haifeng Xu, Fei Fang, Albert Xin Jiang, Vincent Conitzer, Shaddin Dughmi, Milind Tambe
2013	A	`conf`	Optimal patrol strategy for protecting moving targets with multiple mobile resources. AAMAS Fei Fang, Albert Xin Jiang, Milind Tambe
2013	J	`jnl`	Protecting Moving Targets with Multiple Mobile Resources. J. Artif. Intell. Res. Fei Fang, Albert Xin Jiang, Milind Tambe
2012	—	`conf`	Challenges in Patrolling to Maximize Pristine Forest Area (Position Paper). AAAI Spring Symposium: Game Theory for Security, Sustainability, and Health Matthew P. Johnson, Fei Fang, Rong Yang, Milind Tambe, Heidi J. Albers
2012	A	`conf`	Designing better strategies against human adversaries in network security games. AAMAS Rong Yang, Fei Fang, Albert Xin Jiang, Karthik Rajagopal, Milind Tambe, Rajiv T. Maheswaran
2012	A*	`conf`	Patrol Strategies to Maximize Pristine Forest Area. AAAI Matthew Paul Johnson, Fei Fang, Milind Tambe