---
title: "Zhen Yang — author profile and papers — Elamur Research"
description: "Zhen Yang, Hubei University of Technology: 7 papers on Elamur Research (2023–2026), h-index 18 — affiliations, topics, co-authors and…"
canonical: "https://research.elamur.ai/free/en/authors/zhen-yang/"
---
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# Zhen Yang

Zhen Yang has 7 papers in our library, in 2023–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/); often with [Jiaqi Zhu](https://md.research.elamur.ai/free/en/authors/jiaqi-zhu/), [Ruobing Xie](https://md.research.elamur.ai/free/en/authors/ruobing-xie/), [Shuaipeng Li](https://md.research.elamur.ai/free/en/authors/shuaipeng-li/).

7 papers in our library · 2023–2026

[OpenAlex](https://openalex.org/A5100676401) · [ORCID](https://orcid.org/0000-0001-9871-8851) · [**h-index 18**](https://openalex.org/authors/A5100676401) · [76 works](https://openalex.org/works?filter=author.id:A5100676401) · [1,069 citations](https://openalex.org/works?filter=author.id:A5100676401&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 7 works in our library](https://md.research.elamur.ai/free/en/authors/zhen-yang/#papers) · [🔗 Cited 49 times in our library](https://md.research.elamur.ai/free/en/authors/zhen-yang/cited-by/) · [⭐ Paper Stars ranking: #7553](https://md.research.elamur.ai/free/en/paper-stars/page/76/#star-7553)

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

## Affiliations

[🎓**Xi'an Jiaotong University** Xi'an · China 1991–2026 · 33 papers*current*](https://md.research.elamur.ai/free/en/universities/xi-an-jiaotong-university/) · [🎓**Hubei University of Technology** Wuhan · China 2022–2026 · 7 papers*current*](https://ror.org/02d3fj342) · [🎓**Tsinghua University** Beijing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🎓**Jinan University** Guangzhou · China 2012–2017 · 4 papers](https://md.research.elamur.ai/free/en/universities/jinan-university/) · [🎓**Shandong University** Jinan · China 2007–2022 · 3 papers](https://md.research.elamur.ai/free/en/universities/shandong-university/) · [🏢**Yunnan Power Grid Co., Ltd.** Kunming · China 2024 · 2 papers](https://ror.org/009qhsr26) · [🔬**Informatique, BioInformatique, Systèmes Complexes** Évry-Courcouronnes · France 2015 · 2 papers](https://ror.org/01aqxgr98) · [🎓**Université d'Évry Val-d'Essonne** Évry-Courcouronnes · France 2015 · 2 papers](https://ror.org/00e96v939) · [🎓**Nanjing University of Posts and Telecommunications** Nanjing · China 2013 · 2 papers](https://ror.org/043bpky34) · [🔬**Centre National de la Recherche Scientifique** Paris · France 2010–2012 · 2 papers](https://md.research.elamur.ai/free/en/labs/centre-national-de-la-recherche-scientifique/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 10 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 · 7 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 6 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 6 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 6 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Computational Theory and Mathematics · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/) · [Applied Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/applied-mathematics/) · [Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/)

🧭 Topics 4 Research subjects and languages the work is about.[Language models & pretraining · 5 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 4 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Vision & language · 2 works](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/)

## Works by year

### 2020s

[**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/zhen-yang/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/zhen-yang/year/2025/) · [**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/zhen-yang/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/zhen-yang/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent](https://md.research.elamur.ai/free/en/papers/sun-2024-hunyuan-large-open-source/)** *(2024 · 25 citations)* Most open-source LLMs use dense architectures, and the few public mixture-of-experts (MoE) models are relatively small.
2. **[HMoE: Heterogeneous Mixture of Experts for Language Modeling](https://md.research.elamur.ai/free/en/papers/wang-2025-hmoe-heterogeneous-mixture-experts-language/)** *(2025 · 11 citations)* Standard Mixture of Experts (MoE) language models use experts of identical size, even though some tokens are harder to process than others.
3. **[MathGLM-Vision: Solving Mathematical Problems with Multi-Modal Large Language Model](https://md.research.elamur.ai/free/en/papers/yang-2024-mathglm-vision-solving-mathematical-problems/)** *(2024 · 10 citations)* Most math-focused multi-modal LLMs (MLLMs) are trained almost entirely on geometry, using small public sets such as GeoQA and Geometry3K whose answers rarely show the reasoning.
4. **[Investigating Forgetting in Pre-Trained Representations Through Continual Learning](https://md.research.elamur.ai/free/en/papers/luo-2023-investigating-forgetting-pre-trained-representations/)** *(2023 · 10 citations)* When a pre-trained language model is fine-tuned on a sequence of tasks, its contextualized representations shift.
5. **[Less is More: Improving LLM Reasoning with Minimal Test-Time Intervention](https://md.research.elamur.ai/free/en/papers/yang-2026-less-is-more-improving-llm/)** *(2026 · 2 citations)* Test-time scaling techniques such as self-consistency or tree search make LLMs reason better, but they pay for it with heavy extra inference compute.
6. **[Thinking Beyond the Local: Multi-View Instructed Adaptive Reasoning in KG-Enhanced LLMs](https://md.research.elamur.ai/free/en/papers/zhang-2026-thinking-beyond-local-multi-view/)** *(2026 · 1 citation)* Systems that pair knowledge graphs with LLMs for question answering usually walk the graph outward from the entities named in the query.
7. **[MathSight: A Benchmark Exploring Have Vision-Language Models Really Seen in University-Level Mathematical Reasoning?](https://md.research.elamur.ai/free/en/papers/wang-2026-mathsight-benchmark-exploring-have-vision/)** *(2026)* MathSight examines whether vision-language models (VLMs) actually use images when solving university-level math problems, or whether they mostly depend on the textual problem statement.

## Co-authors here

12 of 21 co-authors with a page, the most papers together first.

- [Jiaqi Zhu](https://md.research.elamur.ai/free/en/authors/jiaqi-zhu/) ×2
- [Ruobing Xie](https://md.research.elamur.ai/free/en/authors/ruobing-xie/) ×2
- [Shuaipeng Li](https://md.research.elamur.ai/free/en/authors/shuaipeng-li/) ×2
- [Xingwu Sun](https://md.research.elamur.ai/free/en/authors/xingwu-sun/) ×2
- [Bin Xu](https://md.research.elamur.ai/free/en/authors/bin-xu/)
- [Di Wang](https://md.research.elamur.ai/free/en/authors/di-wang/)
- [Fandong Meng](https://md.research.elamur.ai/free/en/authors/fandong-meng/)
- [Feng Chen](https://md.research.elamur.ai/free/en/authors/feng-chen/)
- [Jie Chen](https://md.research.elamur.ai/free/en/authors/jie-chen/)
- [Jie Tang](https://md.research.elamur.ai/free/en/authors/jie-tang/)
- [Jie Zhou](https://md.research.elamur.ai/free/en/authors/jie-zhou/)
- [Kai Zhang](https://md.research.elamur.ai/free/en/authors/kai-zhang/)

## 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/) ×2
- [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2025](https://md.research.elamur.ai/free/en/venues/emnlp/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 49 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/zhen-yang/cited-by/).

Updated 1 November 2026
