'

William Yeoh

Associate Professor, Computer Science and Engineering
Director, Division of Computational and Data Sciences
Director, AI-ACCESS National Research Traineeship Program
Washington University in St. Louis

profile.jpg

I lead the YODA Lab, where we use artificial intelligence based techniques to develop intelligent agent-based systems. Our recent research focus is on the exciting area of human-AI teaming and collaboration!

Prior to joining WashU, I was an assistant professor in the Department of Computer Science at New Mexico State University; a research scientist in the Living Analytics Research Center at Singapore Management University; and a post-doctoral research associate with Shlomo Zilberstein in the Department of Computer Science at the University of Massachusetts at Amherst.

I received my Ph.D. and M.S. in Computer Science from the University of Southern California, supervised by Sven Koenig, and my M.S. and B.S.E. in Mechanical Engineering and Applied Mechanics from the University of Pennsylvania, supervised by Vijay Kumar.

recent news

Jul 2024: KR paper on argumentation-based dialectical explanations accepted.
Jun 2024: CP papers on incomplete DCOPs and communication-aware DCOPs accepted.
Apr 2024: IJCAI paper on multi-objective search accepted.
Dec 2023: AAMAS paper on polarization in social networks accepted.
Aug 2023: Received a BSF grant with Roie Zivan to work on explainable DCOPs!

selected publications

  1. AIJ
    Simple and Efficient Bi-Objective Search Algorithms via Fast Dominance Checks
    Carlos Hernández, William Yeoh, Jorge A. Baier, and 4 more authors
    Artificial Intelligence, 2023
  2. JAIR
    Communication-Aware Local Search for Distributed Constraint Optimization
    Ben Rachmut, Roie Zivan, and William Yeoh
    Journal of Artificial Intelligence Research, 2022
  3. JAIR
    A Logic-Based Explanation Generation Framework for Classical and Hybrid Planning Problems
    Stylianos Loukas Vasileiou, William Yeoh, Tran Cao Son, and 3 more authors
    Journal of Artificial Intelligence Research, 2022
  4. AAMAS
    Algorithmic Filtering, Out-Group Stereotype, and Polarization on Social Media
    Jean Springsteen, William Yeoh, and Dino Christenson
    In International Conference on Autonomous Agents and Multiagent Systems, 2024
  5. ICAPS
    Using Simple Incentives to Improve Two-Sided Fairness in Ridesharing Systems
    Ashwin Kumar, Yevgeniy Vorobeychik, and William Yeoh
    In International Conference on Automated Planning and Scheduling, 2023