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researcher

Zhenning Yang

University of Michigan

14 papers hereh-index 5163 citations18 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author5
  • middle author9

Across the 14 of 14 papers where every author was matched, so the position is known.

fields
  • cs.AI3
  • cs.SE3
  • cs.CV2
  • cs.CL1
  • cs.DB1
  • cs.DC1
affiliations
  • University of Michigan
Homepage
same name
  • Zhenning Yang — 2 papers, h 12
  • Zhenning Yang — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20212026
most citedOobleck: Resilient Distributed Training of Large Models Using Pipeline Templates

36 citations · 42 across the 14 of their papers we have counts for

collaborators
Showing 2025Show all

4 papers · 1 filter

cs.SE2025

Automated Cloud Infrastructure-as-Code Reconciliation with AI Agents

Zhenning Yang, Hui Guan, Victor Nicolet +4

Cloud infrastructure is managed through a mix of interfaces -- traditionally, cloud consoles, command-line interfaces (CLI), and SDKs are the tools of choice. Recently, Infrastruct…

cs.AI2025

Cloud Infrastructure Management in the Age of AI Agents

Zhenning Yang, Archit Bhatnagar, Yiming Qiu +6

Cloud infrastructure is the cornerstone of the modern IT industry. However, managing this infrastructure effectively requires considerable manual effort from the DevOps engineering…

cs.DB2025

SQUiD: Synthesizing Relational Databases from Unstructured Text

Mushtari Sadia, Zhenning Yang, Yunming Xiao +2

Relational databases are central to modern data management, yet most data exists in unstructured forms like text documents. To bridge this gap, we leverage large language models (L…

cs.AI2025★ 2 cited

Curie: Toward Rigorous and Automated Scientific Experimentation with AI Agents

Patrick Tser Jern Kon, Jiachen Liu, Qiuyi Ding +7

Scientific experimentation, a cornerstone of human progress, demands rigor in reliability, methodical control, and interpretability to yield meaningful results. Despite the growing…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.