---
title: "Xiaofan Zhang — author profile and papers · Reasoning"
description: "Xiaofan Zhang, Google: 3 papers on Elamur Research (2025–2026), h-index 28 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/xiaofan-zhang/"
---
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# Xiaofan Zhang

Xiaofan Zhang has 3 papers in our library, in 2025–2026, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/); often with [Shaoting Zhang](https://md.research.elamur.ai/free/en/authors/shaoting-zhang/), [Yakun Zhu](https://md.research.elamur.ai/free/en/authors/yakun-zhu/), [Yutong Huang](https://md.research.elamur.ai/free/en/authors/yutong-huang/).

3 papers in our library · 2025–2026

[OpenAlex](https://openalex.org/A5100330729) · [ORCID](https://orcid.org/0000-0001-5081-3972) · [**h-index 28**](https://openalex.org/authors/A5100330729) · [89 works](https://openalex.org/works?filter=author.id:A5100330729) · [5,508 citations](https://openalex.org/works?filter=author.id:A5100330729&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/xiaofan-zhang/#papers) · [🔗 Cited 45 times in our library](https://md.research.elamur.ai/free/en/authors/xiaofan-zhang/cited-by/) · [3 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #8931](https://md.research.elamur.ai/free/en/paper-stars/page/90/#star-8931)

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

## Affiliations

[🔬**Shanghai Artificial Intelligence Laboratory** Shanghai · China 2021–2025 · 13 papers*current*](https://md.research.elamur.ai/free/en/labs/shanghai-artificial-intelligence-laboratory/) · [🎓**Shanghai Jiao Tong University** Shanghai · China 2021–2025 · 9 papers*current*](https://md.research.elamur.ai/free/en/universities/shanghai-jiao-tong-university/) · [🏢**Google** Mountain View · United States 2023–2025 · 4 papers*current*](https://md.research.elamur.ai/free/en/companies/google/) · [🎓**Dongguan University of Technology** Dongguan · China 2025 · 1 paper*current*](https://ror.org/01m8p7q42) · [🎓**Huazhong University of Science and Technology** Wuhan · China 2025 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/huazhong-university-of-science-and-technology/) · [🏥**Tongji Hospital** Wuhan · China 2025 · 1 paper*current*](https://ror.org/04xy45965) · [🎓**University of Illinois Urbana-Champaign** Urbana · United States 2016–2024 · 39 papersEducation 2016–2022 · ECE](https://md.research.elamur.ai/free/en/universities/university-of-illinois-urbana-champaign/) · [🎓**University of North Carolina at Charlotte** Charlotte · United States 2014–2017 · 12 papers](https://md.research.elamur.ai/free/en/universities/university-of-north-carolina-at-charlotte/) · [🎓**Beihang University** Beijing · China 2013–2024 · 4 papers](https://md.research.elamur.ai/free/en/universities/beihang-university/) · [🎓**Guangdong Polytechnic Normal University** Guangzhou · China 2020–2024 · 2 papers](https://ror.org/02pcb5m77)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 6 more institutions on single bylines are not listed.

## Fields, topics and concepts

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

📚 Shelves 8 The field of science this work belongs to (OpenAlex fields).[Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Medicine · 2 works](https://md.research.elamur.ai/free/en/shelves/medicine/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Health Informatics · 2 works](https://md.research.elamur.ai/free/en/shelves/medicine/health-informatics/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/)

🧭 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/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/)

## Works by year

### 2020s

[**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/xiaofan-zhang/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/xiaofan-zhang/year/2025/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Mix-of-Granularity: Optimize the Chunking Granularity for Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/zhong-2025-mix-granularity-optimize-chunking-granularity/)** *(2025 · 13 citations)* RAG systems usually split their reference collections into chunks of one fixed size. That size is hard to tune, because knowledge sources differ in structure and information density, and individual questions range from narrow to broad. The authors propose Mix-of-Granularity (MoG), which borrows the routing idea from…
2. **[DiagnosisArena: Benchmarking Diagnostic Reasoning for Large Language Models](https://md.research.elamur.ai/free/en/papers/zhu-2026-diagnosisarena-benchmarking-diagnostic-reasoning-large/)** *(2026 · 7 citations)* Popular medical LLM benchmarks such as MedQA and MMLU are nearly saturated, with leading models scoring above 90%.
3. **[MedMCP-Calc: Benchmarking LLMs for Realistic Medical Calculator Scenarios via MCP Integration](https://md.research.elamur.ai/free/en/papers/zhu-2026-medmcp-calc-benchmarking-llms-realistic/)** *(2026 · 2 citations)* Real clinical use of medical calculators rarely involves one isolated formula. A clinician pulls scattered values from the EHR, decides which scores fit the evolving situation, and chains several computations together. Existing benchmarks such as MedCalc-Bench instead give clean patient notes and name the calculator…

## All works

6 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

1. **[Heterogeneous Memory Enhanced Multimodal Attention Model for Video Question Answering ↗](https://doi.org/10.1109/cvpr.2019.00210) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Chenyou Fan et al.*2019 · 315 citations*
2. **[Embedding Label Structures for Fine-Grained Feature Representation ↗](https://doi.org/10.1109/cvpr.2016.126) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Xiaofan Zhang et al.*2016 · 210 citations*
3. **[Fine-grained histopathological image analysis via robust segmentation and large-scale retrieval ↗](https://doi.org/10.1109/cvpr.2015.7299174) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Xiaofan Zhang et al.*2015 · 56 citations*
4. **[Mix-of-Granularity: Optimize the Chunking Granularity for Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/zhong-2025-mix-granularity-optimize-chunking-granularity/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Zijie Zhong, Hanwen Liu, Xiaoya Cui, et al.*2025 · 13 citations*
5. **[DiagnosisArena: Benchmarking Diagnostic Reasoning for Large Language Models](https://md.research.elamur.ai/free/en/papers/zhu-2026-diagnosisarena-benchmarking-diagnostic-reasoning-large/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yakun Zhu, Zhongzhen Huang, Linjie Mu, et al.*2026 · 7 citations*
6. **[MedMCP-Calc: Benchmarking LLMs for Realistic Medical Calculator Scenarios via MCP Integration](https://md.research.elamur.ai/free/en/papers/zhu-2026-medmcp-calc-benchmarking-llms-realistic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yakun Zhu, Yutong Huang, Shengqian Qin, et al.*2026 · 2 citations*

## Co-authors here

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

- [Shaoting Zhang](https://md.research.elamur.ai/free/en/authors/shaoting-zhang/) ×2
- [Yakun Zhu](https://md.research.elamur.ai/free/en/authors/yakun-zhu/) ×2
- [Yutong Huang](https://md.research.elamur.ai/free/en/authors/yutong-huang/) ×2
- [Zhongzhen Huang](https://md.research.elamur.ai/free/en/authors/zhongzhen-huang/) ×2
- [Pengfei Liu](https://md.research.elamur.ai/free/en/authors/pengfei-liu/)

## Venues

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

- IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings ×3
- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/)
- [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/): [COLING 2025](https://md.research.elamur.ai/free/en/venues/coling/2025/)
- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/)

## Cited by

Papers of our library cite their works 45 times (of the 149,439 papers whose bibliographies we read); [9 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/xiaofan-zhang/cited-by/).

Updated 31 October 2026
