Fang, Fei

69 publications

AAAI 2025 Deviate or Not: Learning Coalition Structures with Multiple-Bit Observations in Games Yixuan Even Xu, Zhe Feng, Fei Fang

AAAI 2025 Improving Community-Participated Patrol for Anti-Poaching Yufei Wu, Yixuan Even Xu, Xuming Zhang, Duo Liu, Shibing Zhu, Fei Fang

ICLR 2025 LICORICE: Label-Efficient Concept-Based Interpretable Reinforcement Learning Zhuorui Ye, Stephanie Milani, Geoffrey J. Gordon, Fei Fang

ICML 2025 M$^3$HF: Multi-Agent Reinforcement Learning from Multi-Phase Human Feedback of Mixed Quality Ziyan Wang, Zhicheng Zhang, Fei Fang, Yali Du

TMLR 2025 On the Detection of Reviewer-Author Collusion Rings from Paper Bidding Steven Jecmen, Nihar B Shah, Fei Fang, Leman Akoglu

ICLR 2025 TypedThinker: Diversify Large Language Model Reasoning with Typed Thinking Danqing Wang, Jianxin Ma, Fei Fang, Lei Li

AAAI 2024 Accelerate Multi-Agent Reinforcement Learning in Zero-Sum Games with Subgame Curriculum Learning Jiayu Chen, Zelai Xu, Yunfei Li, Chao Yu, Jiaming Song, Huazhong Yang, Fei Fang, Yu Wang, Yi Wu

ICMLW 2024 Concept-Based Interpretable Reinforcement Learning with Limited to No Human Labels Zhuorui Ye, Stephanie Milani, Fei Fang, Geoff Gordon

ICMLW 2024 Concept-Based Interpretable Reinforcement Learning with Limited to No Human Labels Zhuorui Ye, Stephanie Milani, Fei Fang, Geoffrey J. Gordon

NeurIPS 2024 Global Rewards in Restless Multi-Armed Bandits Naveen Raman, Zheyuan Ryan Shi, Fei Fang

ICML 2024 Language Agents with Reinforcement Learning for Strategic Play in the Werewolf Game Zelai Xu, Chao Yu, Fei Fang, Yu Wang, Yi Wu

AAAI 2024 Learning Coalition Structures with Games Yixuan Even Xu, Chun Kai Ling, Fei Fang

NeurIPS 2024 Multi-Agent Imitation Learning: Value Is Easy, Regret Is Hard Jingwu Tang, Gokul Swamy, Fei Fang, Zhiwei Steven Wu

ICMLW 2024 Multi-Agent Imitation Learning: Value Is Easy, Regret Is Hard Jingwu Tang, Gokul Swamy, Fei Fang, Steven Wu

ICMLW 2024 Multi-Agent Imitation Learning: Value Is Easy, Regret Is Hard Jingwu Tang, Gokul Swamy, Fei Fang, Steven Wu

NeurIPSW 2024 PATIENT-Ψ: Using Large Language Models to Simulate Patients for Training Mental Health Professionals Ruiyi Wang, Stephanie Milani, Jamie C. Chiu, Jiayin Zhi, Shaun M. Eack, Travis Labrum, Samuel M Murphy, Nev Jones, Kate V Hardy, Hong Shen, Fei Fang, Zhiyu Chen

NeurIPSW 2024 PATIENT-Ψ: Using Large Language Models to Simulate Patients for Training Mental Health Professionals Ruiyi Wang, Stephanie Milani, Jamie C. Chiu, Jiayin Zhi, Shaun M. Eack, Travis Labrum, Samuel M Murphy, Nev Jones, Kate V Hardy, Hong Shen, Fei Fang, Zhiyu Chen

AAAI 2024 Where It Really Matters: Few-Shot Environmental Conservation Media Monitoring for Low-Resource Languages Sameer Jain, Sedrick Scott Keh, Shova Chettri, Karun Dewan, Pablo Izquierdo, Johanna Prussman, Pooja Shrestha, César Suárez, Zheyuan Ryan Shi, Lei Li, Fei Fang

NeurIPS 2023 A One-Size-Fits-All Approach to Improving Randomness in Paper Assignment Yixuan Xu, Steven Jecmen, Zimeng Song, Fei Fang

AAAI 2023 Function Approximation for Solving Stackelberg Equilibrium in Large Perfect Information Games Chun Kai Ling, J. Zico Kolter, Fei Fang

ICMLW 2023 Inverse Game Theory for Stackelberg Games: The Blessing of Bounded Rationality Jibang Wu, Weiran Shen, Fei Fang, Haifeng Xu

AAAI 2023 NewsPanda: Media Monitoring for Timely Conservation Action 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

AAAI 2023 Self-Supervised Interest Transfer Network via Prototypical Contrastive Learning for Recommendation Guoqiang Sun, Yibin Shen, Sijin Zhou, Xiang Chen, Hongyan Liu, Chunming Wu, Chenyi Lei, Xianhui Wei, Fei Fang

ICCV 2023 Video Background Music Generation: Dataset, Method and Evaluation Le Zhuo, Zhaokai Wang, Baisen Wang, Yue Liao, Chenxi Bao, Stanley Peng, Songhao Han, Aixi Zhang, Fei Fang, Si Liu

AAAI 2022 Bandit Data-Driven Optimization for Crowdsourcing Food Rescue Platforms Zheyuan Ryan Shi, Zhiwei Steven Wu, Rayid Ghani, Fei Fang

NeurIPS 2022 Curriculum Reinforcement Learning Using Optimal Transport via Gradual Domain Adaptation Peide Huang, Mengdi Xu, Jiacheng Zhu, Laixi Shi, Fei Fang, Ding Zhao

NeurIPS 2022 Inverse Game Theory for Stackelberg Games: The Blessing of Bounded Rationality Jibang Wu, Weiran Shen, Fei Fang, Haifeng Xu

ECML-PKDD 2022 MAVIPER: Learning Decision Tree Policies for Interpretable Multi-Agent Reinforcement Learning Stephanie Milani, Zhicheng Zhang, Nicholay Topin, Zheyuan Ryan Shi, Charles A. Kamhoua, Evangelos E. Papalexakis, Fei Fang

NeurIPS 2022 PerfectDou: Dominating DouDizhu with Perfect Information Distillation Guan Yang, Minghuan Liu, Weijun Hong, Weinan Zhang, Fei Fang, Guangjun Zeng, Yue Lin

IJCAI 2022 Ranked Prioritization of Groups in Combinatorial Bandit Allocation Lily Xu, Arpita Biswas, Fei Fang, Milind Tambe

IJCAI 2022 Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training Peide Huang, Mengdi Xu, Fei Fang, Ding Zhao

AAAI 2022 Safe Subgame Resolving for Extensive Form Correlated Equilibrium Chun Kai Ling, Fei Fang

AAAI 2021 Data-Driven Multimodal Patrol Planning for Anti-Poaching Weizhe Chen, Weinan Zhang, Duo Liu, Weiping Li, Xiaojun Shi, Fei Fang

ICLR 2021 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

AAAI 2021 Dual-Mandate Patrols: Multi-Armed Bandits for Green Security Lily Xu, Elizabeth Bondi, Fei Fang, Andrew Perrault, Kai Wang, Milind Tambe

AAAI 2021 Harnessing Social Media to Identify Homeless Youth At-Risk of Substance Use Zi-Yi Dou, Anamika Barman-Adhikari, Fei Fang, Amulya Yadav

AAAI 2021 Iterative Bounding MDPs: Learning Interpretable Policies via Non-Interpretable Methods Nicholay Topin, Stephanie Milani, Fei Fang, Manuela Veloso

UAI 2021 Robust Reinforcement Learning Under Minimax Regret for Green Security Lily Xu, Andrew Perrault, Fei Fang, Haipeng Chen, Milind Tambe

IJCAI 2021 Temporal Induced Self-Play for Stochastic Bayesian Games Weizhe Chen, Zihan Zhou, Yi Wu, Fei Fang

NeurIPS 2020 Deep Archimedean Copulas Chun Kai Ling, Fei Fang, J. Zico Kolter

AAAI 2020 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

ICLR 2020 Evolutionary Population Curriculum for Scaling Multi-Agent Reinforcement Learning Qian Long, Zihan Zhou, Abhibav Gupta, Fei Fang, Yi Wu, Xiaolong Wang

AAAI 2020 Improving Efficiency of Volunteer-Based Food Rescue Operations Zheyuan Ryan Shi, Yiwen Yuan, Kimberly Lo, Leah Lizarondo, Fei Fang

NeurIPS 2020 Mitigating Manipulation in Peer Review via Randomized Reviewer Assignments Steven Jecmen, Hanrui Zhang, Ryan Liu, Nihar Shah, Vincent Conitzer, Fei Fang

AAAI 2020 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

IJCAI 2020 When to Follow the Tip: Security Games with Strategic Informants Weiran Shen, Weizhe Chen, Taoan Huang, Rohit Singh, Fei Fang

NeurIPS 2019 Correlation in Extensive-Form Games: Saddle-Point Formulation and Benchmarks Gabriele Farina, Chun Kai Ling, Fei Fang, Tuomas Sandholm

AAAI 2019 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

UAI 2019 Dynamic Trip-Vehicle Dispatch with Scheduled and On-Demand Requests Taoan Huang, Bohui Fang, Xiaohui Bei, Fei Fang

NeurIPS 2019 Efficient Regret Minimization Algorithm for Extensive-Form Correlated Equilibrium Gabriele Farina, Chun Kai Ling, Fei Fang, Tuomas Sandholm

IJCAI 2019 Integrating Learning with Game Theory for Societal Challenges Fei Fang

AAAI 2019 Large Scale Learning of Agent Rationality in Two-Player Zero-Sum Games Chun Kai Ling, Fei Fang, J. Zico Kolter

AAAI 2019 On the Inducibility of Stackelberg Equilibrium for Security Games Qingyu Guo, Jiarui Gan, Fei Fang, Long Tran-Thanh, Milind Tambe, Bo An

AAAI 2019 Robust Multi-Agent Reinforcement Learning via Minimax Deep Deterministic Policy Gradient Shihui Li, Yi Wu, Xinyue Cui, Honghua Dong, Fei Fang, Stuart Russell

IJCAI 2018 Designing the Game to Play: Optimizing Payoff Structure in Security Games Zheyuan Ryan Shi, Ziye Tang, Long Tran-Thanh, Rohit Singh, Fei Fang

AAAI 2018 Policy Learning for Continuous Space Security Games Using Neural Networks Nitin Kamra, Umang Gupta, Fei Fang, Yan Liu, Milind Tambe

AAAI 2018 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

IJCAI 2018 Stackelberg Security Games: Looking Beyond a Decade of Success Arunesh Sinha, Fei Fang, Bo An, Christopher Kiekintveld, Milind Tambe

IJCAI 2018 What Game Are We Playing? End-to-End Learning in Normal and Extensive Form Games Chun Kai Ling, Fei Fang, J. Zico Kolter

ECML-PKDD 2017 Taking It for a Test Drive: A Hybrid Spatio-Temporal Model for Wildlife Poaching Prediction Evaluated Through a Controlled Field Test Shahrzad Gholami, Benjamin J. Ford, Fei Fang, Andrew J. Plumptre, Milind Tambe, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Mustapha Nsubaga, Joshua Mabonga

AAAI 2016 Deploying PAWS to Combat Poaching: Game-Theoretic Patrolling in Areas with Complex Terrain (Demonstration) Fei Fang, Thanh Hong Nguyen, Rob Pickles, Wai Y. Lam, Gopalasamy R. Clements, Bo An, Amandeep Singh, Milind Tambe

AAAI 2016 Deploying PAWS: Field Optimization of the Protection Assistant for Wildlife Security Fei Fang, Thanh Hong Nguyen, Rob Pickles, Wai Y. Lam, Gopalasamy R. Clements, Bo An, Amandeep Singh, Milind Tambe, Andrew Lemieux

AAAI 2016 From the Lab to the Classroom and Beyond: Extending a Game-Based Research Platform for Teaching AI to Diverse Audiences Nicole D. Sintov, Debarun Kar, Thanh Hong Nguyen, Fei Fang, Kevin Hoffman, Arnaud Lyet, Milind Tambe

IJCAI 2016 Three Strategies to Success: Learning Adversary Models in Security Games Nika Haghtalab, Fei Fang, Thanh Hong Nguyen, Arunesh Sinha, Ariel D. Procaccia, Milind Tambe

IJCAI 2015 When Security Games Go Green: Designing Defender Strategies to Prevent Poaching and Illegal Fishing Fei Fang, Peter Stone, Milind Tambe

AAAI 2014 Robust Protection of Fisheries with COmPASS William B. Haskell, Debarun Kar, Fei Fang, Milind Tambe, Sam Cheung, Elizabeth Denicola

AAAI 2014 Solving Zero-Sum Security Games in Discretized Spatio-Temporal Domains Haifeng Xu, Fei Fang, Albert Xin Jiang, Vincent Conitzer, Shaddin Dughmi, Milind Tambe

JAIR 2013 Protecting Moving Targets with Multiple Mobile Resources Fei Fang, Albert Xin Jiang, Milind Tambe

AAAI 2012 Patrol Strategies to Maximize Pristine Forest Area Matthew Paul Johnson, Fei Fang, Milind Tambe