---
title: "Qiusi Zhan — author profile and papers · Bias, fairness & safety"
description: "Qiusi Zhan, University of Illinois Urbana-Champaign: 2 papers on Elamur Research (2024–2026), h-index 5 — affiliations, topics, co-authors…"
canonical: "https://research.elamur.ai/free/en/authors/qiusi-zhan/"
---
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# Qiusi Zhan

Qiusi Zhan has 2 papers in our library, in 2024–2026, most of them on [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/); often with [Daniel D. Kang](https://md.research.elamur.ai/free/en/authors/daniel-d-kang/), [Joo-Kyung Kim](https://md.research.elamur.ai/free/en/authors/joo-kyung-kim/), [Xingzhi Guo](https://md.research.elamur.ai/free/en/authors/xingzhi-guo/).

2 papers in our library · 2024–2026

[OpenAlex](https://openalex.org/A5056050869) · [**h-index 5**](https://openalex.org/authors/A5056050869) · [13 works](https://openalex.org/works?filter=author.id:A5056050869) · [207 citations](https://openalex.org/works?filter=author.id:A5056050869&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/qiusi-zhan/#papers) · [🔗 Cited 70 times in our library](https://md.research.elamur.ai/free/en/authors/qiusi-zhan/cited-by/) · [⭐ Paper Stars ranking: #6537](https://md.research.elamur.ai/free/en/paper-stars/page/66/#star-6537)

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Qiusi+Zhan) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Qiusi+Zhan) · [dblp](https://dblp.org/search?q=Qiusi+Zhan) · [ACL Anthology](https://aclanthology.org/search/?q=Qiusi+Zhan)

## Affiliations

[🎓**University of Illinois Urbana-Champaign** Urbana · United States 2022–2026 · 11 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-illinois-urbana-champaign/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

## Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/)

🧭 Topics 1 Research subjects and languages the work is about.[Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/qiusi-zhan/year/2026/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/qiusi-zhan/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[InjecAgent: Benchmarking Indirect Prompt Injections in Tool-Integrated Large Language Model Agents](https://md.research.elamur.ai/free/en/papers/zhan-2024-injecagent-benchmarking-indirect-prompt-injections/)** *(2024 · 193 citations)* LLM agents that call tools often read outside content such as emails, reviews, notes or web pages. An attacker can plant instructions in that content to steer the agent against its own user. This is called indirect prompt injection (IPI). InjecAgent is presented as the first benchmark that measures how vulnerable…
2. **[SafeSearch: Do Not Trade Safety for Utility in LLM Search Agents](https://md.research.elamur.ai/free/en/papers/zhan-2026-safesearch-do-not-trade-safety/)** *(2026 · 1 citation)* The paper looks at the safety of LLM search agents, which repeatedly write queries, retrieve documents, and reason over them.

## Co-authors here

3 co-authors with a page, the most papers together first.

- [Daniel D. Kang](https://md.research.elamur.ai/free/en/authors/daniel-d-kang/) ×2
- [Joo-Kyung Kim](https://md.research.elamur.ai/free/en/authors/joo-kyung-kim/)
- [Xingzhi Guo](https://md.research.elamur.ai/free/en/authors/xingzhi-guo/)

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) ×2: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/), [Findings of the Association for Computational Linguistics 2024](https://md.research.elamur.ai/free/en/venues/findings/2024/)

## Cited by

Papers of our library cite their works 70 times (of the 149,439 papers whose bibliographies we read); [26 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/qiusi-zhan/cited-by/).

Updated 31 October 2026
