Fei Fang

PeerCoPilot: A Language Model-Powered Assistant for Behavioral Health Organizations AAAI 2026 PlanetServe: A Decentralized, Scalable, and Privacy-Preserving Overlay for Democratizing Large Language Model Serving NSDI 2026 RescueLens: LLM-Powered Triage and Action on Volunteer Feedback for Food Rescue AAAI 2026 Safe Multi-agent Reinforcement Learning with Natural Language Constraints AAAI 2026 CBT-Bench: Evaluating Large Language Models on Assisting Cognitive Behavior Therapy NAACL 2025 Deviate or Not: Learning Coalition Structures with Multiple-bit Observations in Games AAAI 2025 Improving Community-Participated Patrol for Anti-Poaching AAAI 2025 LICORICE: Label-Efficient Concept-Based Interpretable Reinforcement Learning ICLR 2025 M$^3$HF: Multi-agent Reinforcement Learning from Multi-phase Human Feedback of Mixed Quality ICML 2025 REALM: A Dataset of Real-World LLM Use Cases ACL 2025 TypedThinker: Diversify Large Language Model Reasoning with Typed Thinking ICLR 2025 Accelerate Multi-Agent Reinforcement Learning in Zero-Sum Games with Subgame Curriculum Learning AAAI 2024 Global Rewards in Restless Multi-Armed Bandits NeurIPS 2024 Language Agents with Reinforcement Learning for Strategic Play in the Werewolf Game ICML 2024 Learning Coalition Structures with Games AAAI 2024 Leveraging a Cognitive Model to Measure Subjective Similarity of Human and GPT-4 Written Content CoNLL 2024 Multi-Agent Imitation Learning: Value is Easy, Regret is Hard NeurIPS 2024 PATIENT-𝜓: Using Large Language Models to Simulate Patients for Training Mental Health Professionals EMNLP 2024 Where It Really Matters: Few-Shot Environmental Conservation Media Monitoring for Low-Resource Languages AAAI 2024 A One-Size-Fits-All Approach to Improving Randomness in Paper Assignment NeurIPS 2023 Function Approximation for Solving Stackelberg Equilibrium in Large Perfect Information Games AAAI 2023 NewsPanda: Media Monitoring for Timely Conservation Action AAAI 2023 Self-Supervised Interest Transfer Network via Prototypical Contrastive Learning for Recommendation AAAI 2023 Video Background Music Generation: Dataset, Method and Evaluation ICCV 2023 Bandit Data-Driven Optimization for Crowdsourcing Food Rescue Platforms AAAI 2022 Concadia: Towards Image-Based Text Generation with a Purpose EMNLP 2022 Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation NeurIPS 2022 Inverse Game Theory for Stackelberg Games: the Blessing of Bounded Rationality NeurIPS 2022 PerfectDou: Dominating DouDizhu with Perfect Information Distillation NeurIPS 2022 Ranked Prioritization of Groups in Combinatorial Bandit Allocation IJCAI 2022 Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training IJCAI 2022 Safe Subgame Resolving for Extensive Form Correlated Equilibrium AAAI 2022 Data-Driven Multimodal Patrol Planning for Anti-poaching AAAI 2021 Discovering Diverse Multi-Agent Strategic Behavior via Reward Randomization ICLR 2021 Dual-Mandate Patrols: Multi-Armed Bandits for Green Security AAAI 2021 Harnessing Social Media to Identify Homeless Youth At-Risk of Substance Use AAAI 2021 Iterative Bounding MDPs: Learning Interpretable Policies via Non-Interpretable Methods AAAI 2021 Robust reinforcement learning under minimax regret for green security UAI 2021 Temporal Induced Self-Play for Stochastic Bayesian Games IJCAI 2021 Deep Archimedean Copulas NeurIPS 2020 Draining the Water Hole: Mitigating Social Engineering Attacks with CyberTWEAK AAAI 2020 Evolutionary Population Curriculum for Scaling Multi-Agent Reinforcement Learning ICLR 2020 Improving Efficiency of Volunteer-Based Food Rescue Operations AAAI 2020 Mitigating Manipulation in Peer Review via Randomized Reviewer Assignments NeurIPS 2020 To Signal or Not To Signal: Exploiting Uncertain Real-Time Information in Signaling Games for Security and Sustainability AAAI 2020 When to Follow the Tip: Security Games with Strategic Informants IJCAI 2020 Correlation in Extensive-Form Games: Saddle-Point Formulation and Benchmarks NeurIPS 2019 Deep Reinforcement Learning for Green Security Games with Real-Time Information AAAI 2019 Dynamic Trip-Vehicle Dispatch with Scheduled and On-Demand Requests UAI 2019 Efficient Regret Minimization Algorithm for Extensive-Form Correlated Equilibrium NeurIPS 2019 Integrating Learning with Game Theory for Societal Challenges IJCAI 2019 Large Scale Learning of Agent Rationality in Two-Player Zero-Sum Games AAAI 2019 On the Inducibility of Stackelberg Equilibrium for Security Games AAAI 2019 Robust Multi-Agent Reinforcement Learning via Minimax Deep Deterministic Policy Gradient AAAI 2019 Designing the Game to Play: Optimizing Payoff Structure in Security Games IJCAI 2018 Stackelberg Security Games: Looking Beyond a Decade of Success IJCAI 2018 What Game Are We Playing? End-to-end Learning in Normal and Extensive Form Games IJCAI 2018 Three Strategies to Success: Learning Adversary Models in Security Games IJCAI 2016 When Security Games Go Green: Designing Defender Strategies to Prevent Poaching and Illegal Fishing IJCAI 2015