---
title: "Yikun Wang — author profile and papers — Elamur Research"
description: "Yikun Wang, University of Science and Technology of China: 4 papers on Elamur Research (2025–2026), h-index 28 — affiliations, topics…"
canonical: "https://research.elamur.ai/free/en/authors/yikun-wang/"
---
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# Yikun Wang

Yikun Wang has 4 papers in our library, in 2025–2026, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/); often with [Jiaqi Wang](https://md.research.elamur.ai/free/en/authors/jiaqi-wang/), [Dacheng Tao](https://md.research.elamur.ai/free/en/authors/dacheng-tao/), [Dianyi Wang](https://md.research.elamur.ai/free/en/authors/dianyi-wang/).

4 papers in our library · 2025–2026

[OpenAlex](https://openalex.org/A5101587389) · [ORCID](https://orcid.org/0000-0001-5619-7795) · [**h-index 28**](https://openalex.org/authors/A5101587389) · [128 works](https://openalex.org/works?filter=author.id:A5101587389) · [2,538 citations](https://openalex.org/works?filter=author.id:A5101587389&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/yikun-wang/#papers) · [🔗 Cited 22 times in our library](https://md.research.elamur.ai/free/en/authors/yikun-wang/cited-by/) · [⭐ Paper Stars ranking: #8664](https://md.research.elamur.ai/free/en/paper-stars/page/87/#star-8664)

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

## Affiliations

[🎓**Central South University** Changsha · China 2017–2026 · 24 papers*current*](https://md.research.elamur.ai/free/en/universities/central-south-university/) · [🎓**Yanshan University** Qinhuangdao · China 2025–2026 · 4 papers*current*](https://ror.org/02txfnf15) · [🎓**Fudan University** Shanghai · China 2024–2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/fudan-university/) · [🏛️**Chinese Academy of Sciences** Beijing · China 2010–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🎓**Luoyang Normal University** Luoyang · China 2025–2026 · 2 papers*current*](https://ror.org/029man787) · [🔬**Anhui Institute of Optics and Fine Mechanics** Hefei · China 2026 · 1 paper*current*](https://ror.org/03bzbv419) · [🔬**Hefei Institutes of Physical Science** Hefei · China 2026 · 1 paper*current*](https://ror.org/046n57345) · [🎓**Shanghai Innovation Institute** Shanghai · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/shanghai-innovation-institute/) · [🎓**University of Science and Technology of China** Hefei · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/university-of-science-and-technology-of-china/) · [🎓**University of Southampton** Southampton · United Kingdom 2014–2021 · 21 papers](https://md.research.elamur.ai/free/en/universities/university-of-southampton/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 37 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 · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Applied Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/applied-mathematics/) · [Computational Theory and Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/) · [Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/)

🧭 Topics 2 Research subjects and languages the work is about.[Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/)

## Works by year

### 2020s

[**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/yikun-wang/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/yikun-wang/year/2025/)

## Papers

The most cited first (OpenAlex and our library).

1. **[VisuoThink: Empowering LVLM Reasoning with Multimodal Tree Search](https://md.research.elamur.ai/free/en/papers/wang-2025-visuothink-empowering-lvlm-reasoning-multimodal/)** *(2025 · 13 citations)* Large vision-language models (LVLMs) still struggle with geometry problems and spatial navigation. People handle such tasks by sketching, checking intermediate pictures and trying alternative routes. Earlier multimodal "slow thinking" methods either reason purely in text over a fixed input image or add visual help…
2. **[Autoregressive Semantic Visual Reconstruction Helps VLMs Understand Better](https://md.research.elamur.ai/free/en/papers/wang-2026-autoregressive-semantic-visual-reconstruction-helps/)** *(2026 · 7 citations)* Most large vision-language models (LVLMs) such as LLaVA receive training signal only on their text answers.
3. **[VideoPro: Adaptive Program Reasoning for Long Video Understanding](https://md.research.elamur.ai/free/en/papers/li-2026-videopro-adaptive-program-reasoning-long/)** *(2026 · 6 citations)* Long videos are hard for VideoLLMs because the visual cues needed to answer a question are few and scattered across a long timeline.
4. **[GeometryZero: Advancing Geometry Solving via Group Contrastive Policy Optimization](https://md.research.elamur.ai/free/en/papers/wang-2026-geometryzero-advancing-geometry-solving-group/)** *(2026)* Geometry problems remain hard for LLMs, mainly because many of them require drawing extra lines or points.

## Co-authors here

12 of 20 co-authors with a page, the most papers together first.

- [Jiaqi Wang](https://md.research.elamur.ai/free/en/authors/jiaqi-wang/) ×3
- [Dacheng Tao](https://md.research.elamur.ai/free/en/authors/dacheng-tao/) ×2
- [Dianyi Wang](https://md.research.elamur.ai/free/en/authors/dianyi-wang/) ×2
- [Qipeng Guo](https://md.research.elamur.ai/free/en/authors/qipeng-guo/) ×2
- [Chenglin Li](https://md.research.elamur.ai/free/en/authors/chenglin-li/)
- [Haitao Li](https://md.research.elamur.ai/free/en/authors/haitao-li/)
- [Haowen Hou](https://md.research.elamur.ai/free/en/authors/haowen-hou/)
- [Jingqi Tong](https://md.research.elamur.ai/free/en/authors/jingqi-tong/)
- [Kaicheng Yu](https://md.research.elamur.ai/free/en/authors/kaicheng-yu/)
- [Liang Ding](https://md.research.elamur.ai/free/en/authors/liang-ding/)
- [Qianglong Chen](https://md.research.elamur.ai/free/en/authors/qianglong-chen/)
- [Qinyuan Cheng](https://md.research.elamur.ai/free/en/authors/qinyuan-cheng/)

## Venues

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

- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×2: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/), [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/)
- [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

## Cited by

Papers of our library cite their works 22 times (of the 149,439 papers whose bibliographies we read); [13 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yikun-wang/cited-by/).

Updated 1 November 2026
