Fei Fang

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