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researcher

Qiming Zhang

University of Wisconsin-Madison

4 papers hereh-index 331 citations6 works total

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

author position
  • middle author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CR2
  • cs.AI1
  • cs.SE1
affiliations
  • University of Wisconsin-Madison
ORCID 0009-0004-6400-4884
same name
  • Qiming Zhang — 5 papers, h 19
  • Qiming Zhang — 4 papers, h 3
  • Qiming Zhang — 3 papers, h 2
  • Qiming Zhang — 3 papers, h 1
  • Qiming Zhang — 2 papers, h 4
  • Qiming Zhang — 2 papers, h 3

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

collaborators

4 papers

cs.AI2026

AgentLens: Interpretable Safety Steering via Mechanistic Subspaces for Multi-Turn Coding Agent

Weidi Luo, Qiming Zhang, Yihao Quan +5

Coding agents based on large language models (LLMs) demonstrate remarkable autonomous capabilities, but they also introduce significant safety and misuse risks during multi-turn in…

cs.CR2026

Doxing via the Lens: Revealing Location-related Privacy Leakage on Multi-modal Large Reasoning Models

Weidi Luo, Tianyu Lu, Qiming Zhang +8

Recent advances in multi-modal large reasoning models (MLRMs) have shown significant ability to interpret complex visual content. While these models enable impressive reasoning cap…

cs.SE2025

Automating Complex Document Workflows via Stepwise and Rollback-Enabled Operation Orchestration

Yanbin Zhang, Hanhui Ye, Yue Bai +4

Workflow automation promises substantial productivity gains in everyday document-related tasks. While prior agentic systems can execute isolated instructions, they struggle with au…

cs.CR2025

Your Harness is Not Secure: Benchmarking Real-world Threat of Command Line Interface Agent

Weidi Luo, Qiming Zhang, Tianyu Lu +9

Command-line interface (CLI) agents powered by large language models (LLMs) can interpret natural-language requests, plan multi-step tasks, execute shell commands, and modify files…

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