My research is driven by the following intriguing question: how can we establish, maintain and regulate the interactions between humans and agents (e.g., machines, robots, chatbots, and virtual assistants) for desired outcomes? A critical step toward answering this question is to understand principles and structures of multi-agent interactions at scale. To this end, I delve into the interdisciplinary research that spans human-agent interaction, multi-agent systems, game theory, reinforcement learning , decision theory and network science. My current work focuses on resilient mechanism design, and its application to online platforms and networks where agents may not be able to obtain perfect rationality. Typical methodologies include information design, mechanism design, learning and optimization in sequential decision making, and multi-agent simulation.

Recent Publications

Gsholar | Gsholar
  • W. Shen, J. W. Crandall, K. Yan, and C. V. Lopes
    Information Design in Crowdfunding under Thresholding Policies.
    Working Paper

  • K. Yan, W. Shen, H. Lu, and Q. Jin
    Emerging Privacy Issues and Solutions in Cyber-Enabled Sharing Services.
    ACM Computing Surveys (Under Second Round Review)

  • W. Shen, A. A. Khemeiri, A. Almehrezi, W. Al-Enezi, I. Rahwan, and J. W. Crandall
    Regulating Highly Automated Robot Ecologies: Insights from Three User Studies.
    In Proceedings of the Fifth International Conference on Human-Agent Interaction.
    HAI 2017, Bielefeld, Germany
    . Winner of the Best Student Paper Award.
    Paper, DOI, Review, BibTeX, Slides, Code, Media: Heise online
  • W. Shen, C. V. Lopes, and J. W. Crandall
    An Online Mechanism for Ridesharing in Autonomous Mobility-on-Demand Systems.
    In Proceedings of the 25th International Joint Conference on Artificial Intelligence.
    IJCAI-16, New York, NY
    (Acceptance rate: 24%, 2294 submissions).
    Paper, DOI, BibTeX , Presentation, Poster
  • W. Shen and C. V. Lopes
    Managing Autonomous Mobility on Demand Systems for Better Passenger Experience.
    In Proceedings of the 18th International Conference on Principles and Practice of Multi-Agent Systems.
    PRIMA-15, Bertinoro, Italy
    (Acceptance rate: 31%).
    Paper, DOI, BibTeX , Presentation
  • K. Yan, W. Shen, T. Mulumba, and A. Afshari
    ARX Model Based Fault Detection and Diagnosis for Chillers using Support Vector Machines.
    Energy and Buildings, Vol.81 (2014), pp. 287-295.
    Paper, DOI, BibTeX
  • W. Shen, V. Babushkin, Z. Aung, and W. L. Woon
    An Ensemble Model for Day-ahead Electricity Demand Time Series Forecasting.
    In Proceedings of the Fourth ACM International Conference on Future Energy Systems.
    e-Energy'13, Berkeley, California
    (Acceptance rate: 28.95%).
    Paper, DOI, BibTeX , Presentation



Best Student Paper Award, International Conference on Human-Agent Interaction, 2017
Student Travel Grant (US$2,500), Masdar Institute of Science and Technology, 2013
Outstanding Undergraduate Thesis Award, Northwestern Polytechnical University, 2009


Conference Reviewer: HRI 2016-2018, HAI 2017, CHI 2017
Journal Reviewer: IEEE Trans Syst Man Cybern Syst (2017), INT J ELEC POWER (2013)
Sub-reviewer: Transportation Science (2017)


Reader, INF43 - Introduction to Software Engineering, Fall 2014
Reader, INF225/CS221 - Information Retrieval, Winter 2015
Reader, INF124 - Internet Applications Engineering, Spring 2015
Assistant, INF295 - Distributed Interactive Simulation, Spring 2016