| CARVIEW |
Hi! I am Zhiwei, a fourth-year Ph.D. candidate in Statistics at University of Michigan, Ann Arbor, gratefully advised by Prof. Wei Hu and Prof. Yixin Wang. My research interest is centered around theoretical and scientific understanding of foundation models.
Recently I'm interested in designing more efficient model architecture and more effective training strategies for agentic models. Feel free to reach out if you share the same interests!
Education
Publications & Preprints
Terminal-Bench: A Benchmark for Agents on Hard, Realistic Tasks in Command Line Interfaces
Mike A Merrill et al.
Submitted.
Recommendations Beyond Catalogs: Diffusion Models for Personalized Generation
Gabriel Patron, Zhiwei Xu, Ishan Kapnadak, Felipe Maia Polo
Submitted.
Benign Overfitting in Single-Head Attention
Roey Magen*, Shuning Shang*, Zhiwei Xu, Spencer Frei, Wei Hu♦, Gal Vardi♦
NeurIPS 2025.
Let Me Grok for You: Accelerating Grokking via Embedding Transfer from a Weaker Model
Zhiwei Xu*, Zhiyu Ni*, Yixin Wang♦, Wei Hu♦
ICLR 2025.
Benign Overfitting and Grokking in ReLU Networks for XOR Cluster Data
Zhiwei Xu, Yutong Wang, Spencer Frei, Gal Vardi, Wei Hu
ICLR 2024.
Inference of Dependency Knowledge Graph for Electronic Health Records
Zhiwei Xu, Ziming Gan, Doudou Zhou, Shuting Shen, Junwei Lu*, Tianxi Cai*
Journal of the Royal Statistical Society, Series B, 2025
ARCH: Large-scale Knowledge Graph via Aggregated Narrative Codified Health Records Analysis
Ziming Gan*, Doudou Zhou*, et al.
Journal of Biomedical Informatics, 2025
Teaching
STATS 500: Statistical Learning
Fall 2024Graduate Student Instructor, University of Michigan
Graded homework and conducted office hours
STATS 413: Applied Regression Analysis
Winter 2024Graduate Student Instructor, University of Michigan
Taught weekly lab classes, graded homework, and conducted office hours
STATS/DATASCI 451: Bayesian Data Analysis
Fall 2023Graduate Student Instructor, University of Michigan
Graded homework and conducted office hours
STATS 250: Introduction to Statistics and Data Analysis
Winter 2023Graduate Student Instructor, University of Michigan
Taught weekly lab classes, graded homework and lab, and conducted office hours
Real Analysis
Spring 2021Teaching Assistant, USTC
Taught weekly lab classes and graded homework
Service
- Conference Reviewer: ICML (2024, 2025), ICLR (2025, 2026), L4DC (2025)
- Workshop Reviewer: NeurIPS M3L (2024)