---
title: "Hefei Ling — author profile and papers — Elamur Research"
description: "Hefei Ling, Huazhong University of Science and Technology: 2 papers on Elamur Research (2026), h-index 21 — affiliations, topics…"
canonical: "https://research.elamur.ai/free/en/authors/hefei-ling/"
---
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# Hefei Ling

Hefei Ling has 2 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/); often with [Jing Tang](https://md.research.elamur.ai/free/en/authors/jing-tang/), [Xiangxiang Chu](https://md.research.elamur.ai/free/en/authors/xiangxiang-chu/), [Yujun Cai](https://md.research.elamur.ai/free/en/authors/yujun-cai/).

2 papers in our library · 2026

[OpenAlex](https://openalex.org/A5037263298) · [ORCID](https://orcid.org/0000-0001-6797-7412) · [Wikidata](https://www.wikidata.org/wiki/Q131168278) · [**h-index 21**](https://openalex.org/authors/A5037263298) · [202 works](https://openalex.org/works?filter=author.id:A5037263298) · [1,672 citations](https://openalex.org/works?filter=author.id:A5037263298&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/hefei-ling/#papers) · [⭐ Paper Stars ranking: #12015](https://md.research.elamur.ai/free/en/paper-stars/page/121/#star-12015)

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=Hefei+Ling) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Hefei+Ling) · [dblp](https://dblp.org/search?q=Hefei+Ling) · [ACL Anthology](https://aclanthology.org/search/?q=Hefei+Ling)

## Affiliations

[🎓**Huazhong University of Science and Technology** Wuhan · China 2004–2026 · 192 papers*current*](https://md.research.elamur.ai/free/en/universities/huazhong-university-of-science-and-technology/)

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 4 The field of science this work belongs to (OpenAlex fields).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Artificial Intelligence · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Hardware and Architecture · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/hardware-and-architecture/)

🧭 Topics 2 Research subjects and languages the work is about.[Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/)

## Works by year

### 2020s

[**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/hefei-ling/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Beyond Query Bias: Candidate-Aware Iterative Refinement for Zero-Shot Composed Image Retrieval](https://md.research.elamur.ai/free/en/papers/sun-2026-beyond-query-bias-candidate-aware/)** *(2026)* The paper addresses a weakness in Zero-Shot Composed Image Retrieval (ZS-CIR), where a system must find a target image from a reference image plus a modification text without task-specific training.
2. **[EntroBench: Evaluating LLM Watermarking Under Multi-Entropy Scenarios and Practical User Operations](https://md.research.elamur.ai/free/en/papers/qin-2026-entrobench-evaluating-llm-watermarking-under/)** *(2026)* Most evaluations of LLM watermarking use a single entropy regime. Some test only open-ended news continuation on C4, and others test only low-entropy code generation. Robustness tests usually cover deliberate attacks such as paraphrasing, not the everyday edits users make to model output. EntroBench addresses both…

## Co-authors here

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

- [Jing Tang](https://md.research.elamur.ai/free/en/authors/jing-tang/)
- [Xiangxiang Chu](https://md.research.elamur.ai/free/en/authors/xiangxiang-chu/)
- [Yujun Cai](https://md.research.elamur.ai/free/en/authors/yujun-cai/)
- [Yuxing Lu](https://md.research.elamur.ai/free/en/authors/yuxing-lu/)

## 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/) ×2

Updated 1 November 2026
