Ziyang Guo is a final-year PhD Candidate in Computer Science at Northwestern University, working with Professor Jessica Hullman.

His research develops principled machine learning algorithms for achieving multi-agent complementarity in decision-making, drawing on frameworks like statistical decision theory, reinforcement learning,and conformal prediction and demonstrating measurable improvements to human-AI decision-making. He holds an undergraduate degree in Computer Science from Zhejiang University.

Selected recent publications

Full publications
  1. Guo, Z., Wu, Y., Hartline, J. and Hullman, J.
    ICLR 2026
    2026 ESIF Economics and AI+ML Meeting
    Spotlight, CMU Human-AI Complementarity Workshop 2025
    Invited talk, INFORMS Annual Meeting 2026
  2. Guo, Z., Wu, Y., Hartline, J., Holstein, K. and Hullman, J.
    NeurIPS 2026
    Spotlight, CMU Human-AI Complementarity Workshop 2026
  3. Guo, Z., Wu, Y., Hartline, J. and Hullman, J.
    ACM FAccT 2024
    Video
  4. Wu, Y., Guo, Z., Mamakos, M., Hartline, J. and Hullman, J.
    IEEE VIS 2023
    Video