Ann Arbor ·
2025
Xingjian Zhang
张行健
I build and evaluate AI that reasons over
hard-to-verify
tasks.
role
4th-year Ph.D.
affiliation
University of Michigan, School of Information
internship
GDM
×2
MSL
links
—
research.focus
3 threads
>
Quantitative evaluation of AI systems' innovative ability.
>
Reasoning capabilities of AI in non-standard tasks.
>
AI agents that automate scientific research workflows (computer science, neuroscience, behavioral science).
—
publications[selected]
view all →
2026
TMLR
Through the Judge's Eyes: Inferred Thinking Traces Improve Reliability of LLM Raters
Xingjian Zhang
, Tianhong Gao, Suliang Jin, Tianhao Wang, Teng Ye, Eytan Adar, Qiaozhu Mei
paper
code
2025
KDD
MapExplorer: New Content Generation from Low-Dimensional Visualizations
Xingjian Zhang
, Ziyang Xiong, Shixuan Liu, Yutong Xie, Tolga Ergen, Dongsub Shim, Hua Xu, Honglak Lee, Qiaozhu Mei
paper
code
2025
NAACL
MASSW: A New Dataset and Benchmark Tasks for AI-Assisted Scientific Workflows
Xingjian Zhang
*, Yutong Xie*, Jin Huang, Jinge Ma, Zhaoying Pan, Qijia Liu, Ziyang Xiong, Tolga Ergen, Dongsub Shim, Honglak Lee, and others
paper
code
2024
TMLR
Can LLMs Effectively Leverage Graph Structural Information: When and Why
Jin Huang,
Xingjian Zhang
, Qiaozhu Mei, Jiaqi Ma
paper
code
—
news[latest]
2026-05
work
Joining Meta Superintelligence Lab as Research Intern
2026-04
event
AI coding workshop slides
2026-04
paper
Paper accepted to ACL
2026-02
paper
Paper accepted to TMLR
2025-10
event
Invited to present at Meta PhD Forum
2025-05
paper
Two papers accepted to KDD
2025-05
work
Returning to Google DeepMind as Research Intern
2025-01
paper
Paper accepted to NAACL
2024-10
event
Spotlight paper at NeurIPS D&B Track