---
title: "Zheyuan Yang · Tongji University — author profile and papers"
description: "Zheyuan Yang, Tongji University: 2 papers on Elamur Research (2026), h-index 0 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/zheyuan-yang/"
---
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# Zheyuan Yang

Zheyuan Yang has 2 papers in our library, in 2026, most of them on [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/); often with [Yilun Zhao](https://md.research.elamur.ai/free/en/authors/yilun-zhao/), [Arman Cohan](https://md.research.elamur.ai/free/en/authors/arman-cohan/), [Bo Yuan](https://md.research.elamur.ai/free/en/authors/bo-yuan/).

2 papers in our library · 2026

[OpenAlex](https://openalex.org/A5139747227) · [**h-index 0**](https://openalex.org/authors/A5139747227) · [2 works](https://openalex.org/works?filter=author.id:A5139747227) · [0 citations](https://openalex.org/works?filter=author.id:A5139747227&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/zheyuan-yang/#papers) · [⭐ Paper Stars ranking: #14124](https://md.research.elamur.ai/free/en/paper-stars/page/142/#star-14124)

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

## Affiliations

[🎓**Tongji University** Shanghai · China 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/tongji-university/)

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 7 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [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/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Science Applications · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-science-applications/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/)

🧭 Topics 3 Research subjects and languages the work is about.[Multilingual & cross-lingual NLP · 1 work](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Reasoning · 1 work](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** 2 papers](https://md.research.elamur.ai/free/en/authors/zheyuan-yang/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[MMSciCode: Real-world Evaluation of Multilingual Multi-Discipline Scientific Research Coding](https://md.research.elamur.ai/free/en/papers/xia-2026-mmscicode-real-world-evaluation-multilingual/)** *(2026)* Most code-generation benchmarks test one programming language, one domain, or isolated functions. They miss what makes research coding hard: turning formulas and algorithm descriptions from a paper into working code that is both computationally and scientifically correct. MMSciCode fills this gap. Its 624…
2. **[TableVista: Benchmarking Multimodal Table Reasoning under Visual and Structural Complexity](https://md.research.elamur.ai/free/en/papers/yang-2026-tablevista-benchmarking-multimodal-table-reasoning/)** *(2026)* TableVista asks how reliably multimodal foundation models reason over tables shown as images when both the layout and the visual presentation vary.

## Co-authors here

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

- [Yilun Zhao](https://md.research.elamur.ai/free/en/authors/yilun-zhao/) ×2
- [Arman Cohan](https://md.research.elamur.ai/free/en/authors/arman-cohan/)
- [Bo Yuan](https://md.research.elamur.ai/free/en/authors/bo-yuan/)
- [Junjie Chen](https://md.research.elamur.ai/free/en/authors/junjie-chen/)
- [Xun Yang](https://md.research.elamur.ai/free/en/authors/xun-yang/)

## 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/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/)
- [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/)

Updated 2 November 2026
