My research interests lie at the intersection of game theory, human-machine interaction, decision theory and multi-agent systems. My current work focuses on the computational aspects of incentive design to induce cooperation among agents with different (conflicting) interests for socially desired outcomes, with application to online platforms such as ridesharing, crowdfunding, smart grids, and crowdsourcing. Typical methodologies include information design, mechanism design, learning from revealed preferences, and multi-agent simulation.
I am a Ph.D. student in Information and Computer Science at the University of California, Irvine, where I have been working with Prof. Cristina Lopes since Fall 2014. Before that, I was a research engineer at Masdar Institute of Science and Technology in Abu Dhabi, where I received my M.Sc degree in Computing and Information Science. I completed my undergraute study in Software Engineering from Northwestern Polytechnical University in Xi'an.
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Program Committee, The Sixth Interantional Conference on Intelligent Systems and Applications (INTELLI 2017)
Reviewer, The 12th ACM/IEEE International Conference on Human-Robot Interaction (HRI 2017)
Reviewer, The ACM CHI Conference on Human Factors in Computing Systems (CHI 2017)
Reviewer, The 11th ACM/IEEE International Conference on Human-Robot Interaction (HRI 2016)
Reviewer, International Journal of Electrical Power & Energy Systems (INT J ELEC POWER 2013)
PublicationsGoogle Scholar | Academic Countdown
- 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 City, NY (Acceptance rate: 24%, 2294 submissions).
Paper, DOI, Presentation, Poster
- W. Shen and C. V. Lopes
Managing Autonomous Mobility on Demand Systems for Better Passenger Experience.
In Proceedings of the 18th Conference on Principles and Practice of Multi-Agent Systems (PRIMA-15)
Bertinoro, Italy (Acceptance rate: 31%).
Paper, DOI, Presentation
- 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, Presentation
- K. Yan, Z. Ji, H. Lu, J. Huang, W. Shen, and Y. Xue
Fast and Accurate Classification of Time Series Data using Extended ELM: Application in Fault Diagnosis of Air Handling Units.
IEEE Transactions on Systems, Man and Cybernetics: Systems (In press).
- K. Yan, Z. Ji, and W. Shen
Online Fault Detection Methods for Chillers Combining Extended Kalman Filter and Recursive One-class SVM.
Neurocomputing , Vol.228 (2017), pp. 205-212.
- T. Mulumba, A. Afshari, K. Yan, W. Shen, and L. K. Norford
Robust Model-based Fault Diagnosis for Air Handling Units.
Energy and Buildings, Vol.86 (2015), pp. 698-707.
- 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.
- W. Zheng, W. Shen, and Y. Zhang
Implementing Spam Filter By Improving Naïve Bayesian Algorithm.
Journal of Northwestern Polytechnical University , Vol.28, no.4, pp.622-627, 2010.
Paper (In Chinese), DOI
- K. Yan, W. Shen, Q. Jin, and H. Lu
Emerging Privacy Issues in Cyber-Enabled Sharing Services: Survey and Solutions.
Regulating Self-Adaptive Multi-Agent Systems with Real-Time Interventions.
Master Thesis, Masdar Institute of Science and Technology, June 2013. (Passed with no corrections required)
Thesis Committee: Jacob W. Crandall (Chair), Iyad Rahwan, Zeyar Aung. Date: May 15th, 2013