| 2026 | AAAI | PeerCoPilot: A Language Model-Powered Assistant for Behavioral Health Organizations. | Gao Mo, Naveen Janaki Raman, Megan Chai, Cindy Peng, Shannon Pagdon, Nev Jones, Hong Shen, Margaret Swarbrick, Fei Fang |
| 2026 | AAAI | RescueLens: LLM-Powered Triage and Action on Volunteer Feedback for Food Rescue. | Naveen Janaki Raman, Jingwu Tang, Zhiyu Chen, Zheyuan Ryan Shi, Sean Hudson, Ameesh Kapoor, Fei Fang |
| 2026 | AAAI | Safe Multi-agent Reinforcement Learning with Natural Language Constraints. | Ziyan Wang, Meng Fang, Tristan Tomilin, Fei Fang, Yali Du |
| 2026 | CHI | Large Language Models in Peer-Run Community Behavioral Health Services: Understanding Peer Specialists and Service Users' Perspectives on Opportunities, Risks, and Mitigation Strategies. | Cindy Peng, Megan Chai, Gao Mo, Naveen Raman, Ningjing Tang, Shannon Pagdon, Margaret Swarbrick, Nev Jones, Fei Fang, Hong Shen |
| 2026 | NSDI | PlanetServe: A Decentralized, Scalable, and Privacy-Preserving Overlay for Democratizing Large Language Model Serving. | Fei Fang, Yifan Hua, Shengze Wang, Ruilin Zhou, Yi Liu, Chen Qian, Xiaoxue Zhang |
| 2026 | SIGMETRICS | d-HNSW: A High-performance Vector Search Engine on Disaggregated Memory. | Fei Fang, Yi Liu, Chen Qian |
| 2025 | AAAI | Improving Community-Participated Patrol for Anti-Poaching. | Yufei Wu, Yixuan Even Xu, Xuming Zhang, Duo Liu, Shibing Zhu, Fei Fang |
| 2025 | AAAI | Deviate or Not: Learning Coalition Structures with Multiple-bit Observations in Games. | Yixuan Even Xu, Zhe Feng, Fei Fang |
| 2025 | ACL | REALM: A Dataset of Real-World LLM Use Cases. | Jingwen Cheng, Kshitish Ghate, Wenyue Hua, William Yang Wang, Hong Shen, Fei Fang |
| 2025 | AIES | Making Teams and Influencing Agents: Efficiently Coordinating Decision Trees for Interpretable Multi-Agent Reinforcement Learning. | Rex Chen, Stephanie Milani, Zhicheng Zhang, Norman Sadeh, Fei Fang |
| 2025 | AIES | Aligning Agent Policies with Preferences: Human-Centered Interpretable Reinforcement Learning. | Stephanie Milani, Zhicheng Zhang, Nicholay Topin, Lirong Xia, Fei Fang |
| 2025 | CGI | D | Fei Fang, Jiawen Yan, Heng Jiang, Ruhan He, Jia Chen, Xinrong Hu |
| 2025 | HCI | Training Users Against Human and GPT-4 Generated Social Engineering Attacks. | Tailia Malloy, Maria Jos Ferreira, Fei Fang, Cleotilde Gonzalez |
| 2025 | ICLR | TypedThinker: Diversify Large Language Model Reasoning with Typed Thinking. | Danqing Wang, Jianxin Ma, Fei Fang, Lei Li |
| 2025 | ICLR | LICORICE: Label-Efficient Concept-Based Interpretable Reinforcement Learning. | Zhuorui Ye, Stephanie Milani, Geoffrey J. Gordon, Fei Fang |
| 2025 | ICML | M³HF: Multi-agent Reinforcement Learning from Multi-phase Human Feedback of Mixed Quality. | Ziyan Wang, Zhicheng Zhang, Fei Fang, Yali Du |
| 2025 | NAACL | CBT-Bench: Evaluating Large Language Models on Assisting Cognitive Behavior Therapy. | Mian Zhang, Xianjun Yang, Xinlu Zhang, Travis Labrum, Jamie C. Chiu, Shaun M. Eack, Fei Fang, William Yang Wang, Zhiyu Chen |
| 2025 | WSC | Out of the Past: An AI-Enabled Pipeline for Traffic Simulation from Noisy, Multimodal Detector Data and Stakeholder Feedback. | Rex Chen, Karen Wu, John McCartney, Norman M. Sadeh, Fei Fang |
| 2024 | AAAI | 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 |
| 2024 | AAAI | 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, Csar Surez, Zheyuan Ryan Shi, Lei Li, Fei Fang |
| 2024 | AAAI | Learning Coalition Structures with Games. | Yixuan Even Xu, Chun Kai Ling, Fei Fang |
| 2024 | CGI | BISRM: Geotechnical Borehole Image Super-Resolution Method Based on Conditional Diffusion Model. | Jia Chen, Xueping Xu, Fei Fang, Huanrong Jiang, Xinrong Hu |
| 2024 | CGI | DesignGAN: Generation of Hand-Drawn Garment Sketches. | Xinrong Hu, Jiwei Huang, Fei Fang, Tao Peng, Feng Yu, Kai Yang, Jia Chen |
| 2024 | EMNLP | 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 Hardy, Hong Shen, Fei Fang, Zhiyu Chen |
| 2024 | ICML | Language Agents with Reinforcement Learning for Strategic Play in the Werewolf Game. | Zelai Xu, Chao Yu, Fei Fang, Yu Wang, Yi Wu |
| 2024 | WWW | Predicting and Presenting Task Difficulty for Crowdsourcing Food Rescue Platforms. | Zheyuan Ryan Shi, Jiayin Zhi, Siqi Zeng, Zhicheng Zhang, Ameesh Kapoor, Sean Hudson, Hong Shen, Fei Fang |
| 2023 | AAAI | 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 |
| 2023 | AAAI | Function Approximation for Solving Stackelberg Equilibrium in Large Perfect Information Games. | Chun Kai Ling, J. Zico Kolter, Fei Fang |
| 2023 | AAAI | 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 |
| 2023 | CGI | GVPM: Garment Simulation from Video Based on Priori Movements. | Jiazhe Miao, Tao Peng, Fei Fang, Xinrong Hu, Ping Zhu, Feng Yu, Minghua Jiang |
| 2023 | CHI | Navigates Like Me: Understanding How People Evaluate Human-Like AI in Video Games. | Stephanie Milani, Arthur Juliani, Ida Momennejad, Raluca Georgescu, Jaroslaw Rzepecki, Alison Shaw, Gavin Costello, Fei Fang, Sam Devlin, Katja Hofmann |
| 2023 | ICCV | 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 |
| 2023 | ICNP | Poster: Measurement on Lightning Network Performance. | Xiaoxue Zhang, Sammy Tesfai, Fei Fang, Chen Qian |
| 2023 | ICRA | Explainable Action Advising for Multi-Agent Reinforcement Learning. | Yue Guo, Joseph Campbell, Simon Stepputtis, Ruiyu Li, Dana Hughes, Fei Fang, Katia P. Sycara |
| 2023 | WSC | Purpose in the Machine: Do Traffic Simulators Produce Distributionally Equivalent Outcomes for Reinforcement Learning Applications? | Rex Chen, Kathleen M. Carley, Fei Fang, Norman M. Sadeh |
| 2023 | WWW | A Dataset on Malicious Paper Bidding in Peer Review. | Steven Jecmen, Minji Yoon, Vincent Conitzer, Nihar B. Shah, Fei Fang |
| 2023 | WWW | Continual Transfer Learning for Cross-Domain Click-Through Rate Prediction at Taobao. | Lixin Liu, Yanling Wang, Tianming Wang, Dong Guan, Jiawei Wu, Jingxu Chen, Rong Xiao, Wenxiang Zhu, Fei Fang |
| 2023 | SDM | Harvester: Principled Factorization-based Temporal Tensor Granularity Estimation. | Ravdeep S. Pasricha, Uday Singh Saini, Nicholas D. Sidiropoulos, Fei Fang, Kevin Chan, Evangelos E. Papalexakis |
| 2022 | AAAI | Safe Subgame Resolving for Extensive Form Correlated Equilibrium. | Chun Kai Ling, Fei Fang |
| 2022 | AAAI | Bandit Data-Driven Optimization for Crowdsourcing Food Rescue Platforms. | Zheyuan Ryan Shi, Zhiwei Steven Wu, Rayid Ghani, Fei Fang |
| 2022 | CIKM | UDM: A Unified Deep Matching Framework in Recommender Systems. | Long Guo, Fei Fang, Binqiang Zhao, Bin Cui |
| 2022 | CIKM | Scenario-Adaptive and Self-Supervised Model for Multi-Scenario Personalized Recommendation. | Yuanliang Zhang, Xiaofeng Wang, Jinxin Hu, Ke Gao, Chenyi Lei, Fei Fang |
| 2022 | CogSci | Color Overmodification Emerges from Data-Driven Learning and Pragmatic Reasoning. | Fei Fang, Kunal Sinha, Noah D. Goodman, Christopher Potts, Elisa Kreiss |
| 2022 | EMNLP | Concadia: Towards Image-Based Text Generation with a Purpose. | Elisa Kreiss, Fei Fang, Noah D. Goodman, Christopher Potts |
| 2022 | HCOMP | Near-Optimal Reviewer Splitting in Two-Phase Paper Reviewing and Conference Experiment Design. | Steven Jecmen, Hanrui Zhang, Ryan Liu, Fei Fang, Vincent Conitzer, Nihar B. Shah |
| 2022 | IJCAI | The Real Deal: A Review of Challenges and Opportunities in Moving Reinforcement Learning-Based Traffic Signal Control Systems Towards Reality. | Rex Chen, Fei Fang, Norman M. Sadeh |
| 2022 | IJCAI | Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training. | Peide Huang, Mengdi Xu, Fei Fang, Ding Zhao |
| 2022 | IJCAI | Ranked Prioritization of Groups in Combinatorial Bandit Allocation. | Lily Xu, Arpita Biswas, Fei Fang, Milind Tambe |
| 2021 | AAAI | Data-Driven Multimodal Patrol Planning for Anti-poaching. | Weizhe Chen, Weinan Zhang, Duo Liu, Weiping Li, Xiaojun Shi, Fei Fang |
| 2021 | AAAI | Harnessing Social Media to Identify Homeless Youth At-Risk of Substance Use. | Zi-Yi Dou, Anamika Barman-Adhikari, Fei Fang, Amulya Yadav |
| 2021 | AAAI | Iterative Bounding MDPs: Learning Interpretable Policies via Non-Interpretable Methods. | Nicholay Topin, Stephanie Milani, Fei Fang, Manuela Veloso |
| 2021 | AAAI | Dual-Mandate Patrols: Multi-Armed Bandits for Green Security. | Lily Xu, Elizabeth Bondi, Fei Fang, Andrew Perrault, Kai Wang, Milind Tambe |
| 2021 | CCS | Game Theoretic Models for Cyber Deception. | Fei Fang |
| 2021 | ICA3PP | A Novel GNN Model for Fraud Detection in Online Trading Activities. | Jing Long, Fei Fang, Haibo Luo |
| 2021 | ICLR | 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 |
| 2021 | IJCAI | Temporal Induced Self-Play for Stochastic Bayesian Games. | Weizhe Chen, Zihan Zhou, Yi Wu, Fei Fang |
| 2021 | WWW | A Recommender System for Crowdsourcing Food Rescue Platforms. | Zheyuan Ryan Shi, Leah Lizarondo, Fei Fang |
| 2021 | UAI | Robust reinforcement learning under minimax regret for green security. | Lily Xu, Andrew Perrault, Fei Fang, Haipeng Chen, Milind Tambe |
| 2020 | AAAI | 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 |
| 2020 | AAAI | 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 |
| 2020 | AAAI | Improving Efficiency of Volunteer-Based Food Rescue Operations. | Zheyuan Ryan Shi, Yiwen Yuan, Kimberly Lo, Leah Lizarondo, Fei Fang |
| 2020 | ICLR | Evolutionary Population Curriculum for Scaling Multi-Agent Reinforcement Learning. | Qian Long, Zihan Zhou, Abhinav Gupta, Fei Fang, Yi Wu, Xiaolong Wang |
| 2020 | IJCAI | When to Follow the Tip: Security Games with Strategic Informants. | Weiran Shen, Weizhe Chen, Taoan Huang, Rohit Singh, Fei Fang |
| 2019 | AAAI | On the Inducibility of Stackelberg Equilibrium for Security Games. | Qingyu Guo, Jiarui Gan, Fei Fang, Long Tran-Thanh, Milind Tambe, Bo An |
| 2019 | AAAI | Large Scale Learning of Agent Rationality in Two-Player Zero-Sum Games. | Chun Kai Ling, Fei Fang, J. Zico Kolter |
| 2019 | AAAI | Robust Multi-Agent Reinforcement Learning via Minimax Deep Deterministic Policy Gradient. | Shihui Li, Yi Wu, Xinyue Cui, Honghua Dong, Fei Fang, Stuart Russell |
| 2019 | AAAI | 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 |
| 2019 | EC | Spatio-Temporal Pricing for Ridesharing Platforms. | Hongyao Ma, Fei Fang, David C. Parkes |
| 2019 | IJCAI | Integrating Learning with Game Theory for Societal Challenges. | Fei Fang |
| 2019 | MEMOCODE | Modeling observability in adaptive systems to defend against advanced persistent threats. | Cody Kinneer, Ryan Wagner, Fei Fang, Claire Le Goues, David Garlan |
| 2019 | RO-MAN | 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 |
| 2019 | UAI | Dynamic Trip-Vehicle Dispatch with Scheduled and On-Demand Requests. | Taoan Huang, Bohui Fang, Xiaohui Bei, Fei Fang |
| 2018 | AAAI | 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 |
| 2018 | AAAI | Evaluation of Predictive Models for Wildlife Poaching Activity through Controlled Field Test in Uganda. | 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 | AAAI | Policy Learning for Continuous Space Security Games Using Neural Networks. | Nitin Kamra, Umang Gupta, Fei Fang, Yan Liu, Milind Tambe |
| 2018 | AAAI | Deep Reinforcement Learning for Green Security Game with Online Information. | Lantao Yu, Yi Wu, Rohit Singh, Lucas Joppa, Fei Fang |
| 2018 | IJCAI | What Game Are We Playing? End-to-end Learning in Normal and Extensive Form Games. | Chun Kai Ling, Fei Fang, J. Zico Kolter |
| 2018 | IJCAI | Designing the Game to Play: Optimizing Payoff Structure in Security Games. | Zheyuan Ryan Shi, Ziye Tang, Long Tran-Thanh, Rohit Singh, Fei Fang |
| 2018 | IJCAI | Stackelberg Security Games: Looking Beyond a Decade of Success. | Arunesh Sinha, Fei Fang, Bo An, Christopher Kiekintveld, Milind Tambe |
| 2016 | AAAI | 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 |
| 2016 | AAAI | 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 |
| 2016 | AAAI | 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 |
| 2016 | IJCAI | Three Strategies to Success: Learning Adversary Models in Security Games. | Nika Haghtalab, Fei Fang, Thanh Hong Nguyen, Arunesh Sinha, Ariel D. Procaccia, Milind Tambe |
| 2015 | AAAI | Effectiveness of Probability Perception Modeling and Defender Strategy Generation Algorithms in Repeated Stackelberg Games: An Initial Report. | Debarun Kar, Fei Fang, Francesco Maria Delle Fave, Nicole D. Sintov, Milind Tambe, Arlette van Wissen |
| 2015 | IJCAI | When Security Games Go Green: Designing Defender Strategies to Prevent Poaching and Illegal Fishing. | Fei Fang, Peter Stone, Milind Tambe |
| 2014 | AAAI | Robust Protection of Fisheries with COmPASS. | William B. Haskell, Debarun Kar, Fei Fang, Milind Tambe, Sam Cheung, Elizabeth Denicola |
| 2014 | AAAI | Solving Zero-Sum Security Games in Discretized Spatio-Temporal Domains. | Haifeng Xu, Fei Fang, Albert Xin Jiang, Vincent Conitzer, Shaddin Dughmi, Milind Tambe |
| 2012 | AAAI | Patrol Strategies to Maximize Pristine Forest Area. | Matthew Paul Johnson, Fei Fang, Milind Tambe |
| 2012 | AAMAS | Designing better strategies against human adversaries in network security games. | Rong Yang, Fei Fang, Albert Xin Jiang, Karthik Rajagopal, Milind Tambe, Rajiv T. Maheswaran |