About Me

I am a postdoctoral fellow in Computer Science at Tulane University. My current research has been focused on defense and attacks in federated learning systems through the lens of reinforcement learning. Previously, I completed my Ph.D. in Information and Computer Science at UC Irvine, where I was very fortunate to work with Prof. Cristina Lopes. My dissertation relaxes some unrealistic assumptions in mechanism design for solving major discoordination problems arising in online platforms. Prior to Irvine, I obtained an M.Sc. in Computing and Information Science under the supervision of Prof. Jacob Crandall at Masdar Institute.

Email: cs.wshen [-AT-] gmail [-DOT-] com

Research Interests

Computational Economics, Reinforcement Learning, Anomaly Detection, and Time Series Forecasting.

Selected Publications

Full List | DBLP

Coordinated Attacks Against Federated Learning: A Multi-Agent Reinforcement Learning Approach.
W. Shen, H. Li, and Z. Zheng; ICLR 2021 Workshop on Security and Safety in Machine Learning Systems

Learning to Attack Distributionally Robust Federated Learning.
W. Shen, H. Li, and Z. Zheng; NeurIPS 2020 Workshop on Scalability, Privacy, and Security in Federated Learning (Best Paper Award Nominee)

Spatial-Temporal Moving Target Defense: A Markov Stackelberg Game Model.
H. Li, W. Shen, and Z. Zheng; AAMAS 2020

A Simulation Analysis of Large Contests with Thresholding Agents.
W. Shen, R. Achar, and C. V. Lopes; WSC 2019

Multi-Winner Contests for Strategic Diffusion in Social Networks.
W. Shen, Y. Feng, and C. V. Lopes; AAAI 2019

Emerging Privacy Issues and Solutions in Cyber-Enabled Sharing Services: From Multiple Perspectives.
K. Yan, W. Shen, H. Lu, and Q. Jin; IEEE Access (2019)

Toward Understanding the Impact of User Participation in Autonomous Ridesharing Systems.
W. Shen, R. Achar, and C. V. Lopes; WSC 2018

Information Design in Crowdfunding under Thresholding Policies.
W. Shen, J. W. Crandall, K. Yan, and C. V. Lopes; AAMAS 2018

Regulating Highly Automated Robot Ecologies: Insights from Three User Studies.
W. Shen, A. A. Khemeiri, A. Almehrezi, W. Al-Enezi, I. Rahwan, and J. W. Crandall; HAI 2017 (Best Student Paper Award)

Online Fault Detection Methods for Chillers Combining Extended Kalman Filter and Recursive One-class SVM.
K. Yan, Z. Ji, W. Shen; Neurocomputing (2017)

An Online Mechanism for Ridesharing in Autonomous Mobility-on-Demand Systems.
W. Shen, C. V. Lopes, and J. W. Crandall; IJCAI 2016

Managing Autonomous Mobility on Demand Systems for Better Passenger Experience.
W. Shen and C. V. Lopes; PRIMA 2015