Profile Photo

Xingjian "Jimmy" Zhang 张行健

School of Information, University of Michigan

ABOUT ME

I am a fourth-year Ph.D. candidate at the University of Michigan, advised by Prof. Qiaozhu Mei. I am interested in the following:

  • Quantitative evaluation of AI systems' innovative ability.
  • Reasoning capabilities of AI in non-standard tasks (including but not limited to multi-turn tool-use and video understanding).
  • AI agents that assist human researchers to automate scientific research workflows (including but not limited to computer science, neuroscience, and behavioral science).

Prior to my Ph.D., I received my bachelor's degree in Computer Science and Mathematics (Minor) from the University of Michigan.


SELECTED PAPERS

MapExplorer: New Content Generation from Low-Dimensional Visualizations
KDD, 2025
MASSW: A New Dataset and Benchmark Tasks for AI-Assisted Scientific Workflows
NAACL Findings, 2025
Can LLMs Effectively Leverage Graph Structural Information: When and Why
TMLR, 2024

HONORS & AWARDS

  • Precandidate Rackham Graduate Student Research Grant (2024)
  • PhD Fellowship (2022)
  • Tang Junyuan Scholarship (2020-2021)
  • John Wun & Jan Sun Sunshine Scholarship (2019)

SERVICE

Workshop Organizer

NEWS

  • 💼 Joining Meta Superintelligence Lab as Research Intern (May 2026)
  • 🎉 Invited to present at Meta PhD Forum (Oct 2025)
  • 📝 Two papers accepted to KDD 2025 (May 2025)
  • 💼 Returning to Google DeepMind as Research Intern (May 2025)
  • 📝 Paper accepted to NAACL 2025 (Jan 2025)
  • 📝 Spotlight paper at NeurIPS 2024 D&B Track (Oct 2024)
  • 📝 Paper accepted to TMLR (Jun 2024)
  • 🎯 Organizing LLMIGS Workshop @ WSDM 2024 (Dec 2023)
  • 💼 Research Intern at Google DeepMind (May 2023)
  • 🎯 Organizing GLB Workshop @ KDD 2023 (Apr 2023)
  • 📝 Oral presentation at LOG 2022 (Nov 2022)