---
title: "Wenhao Zhang — author profile and papers — Elamur Research"
description: "Wenhao Zhang, Northwestern University: 2 papers on Elamur Research (2026), h-index 1 — affiliations, topics, co-authors and who cites…"
canonical: "https://research.elamur.ai/free/en/authors/wenhao-zhang/"
---
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# Wenhao Zhang

Wenhao Zhang has 2 papers in our library, in 2026, most of them on [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Jiasen Lu](https://md.research.elamur.ai/free/en/authors/jiasen-lu/), [Li Ni](https://md.research.elamur.ai/free/en/authors/li-ni/), [Lin Mu](https://md.research.elamur.ai/free/en/authors/lin-mu/).

2 papers in our library · 2026

[OpenAlex](https://openalex.org/A5139802701) · [**h-index 1**](https://openalex.org/authors/A5139802701) · [5 works](https://openalex.org/works?filter=author.id:A5139802701) · [2 citations](https://openalex.org/works?filter=author.id:A5139802701&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/wenhao-zhang/#papers) · [⭐ Paper Stars ranking: #13176](https://md.research.elamur.ai/free/en/paper-stars/page/132/#star-13176)

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

## Affiliations

[🎓**Anhui University** Hefei · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/anhui-university/) · [🎓**Northwestern University** Evanston · United States 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/northwestern-university/) · [🎓**Peking University** Beijing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/peking-university/) · [🎓**Shanghai Jiao Tong University** Shanghai · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/shanghai-jiao-tong-university/) · [🎓**University of Virginia** Charlottesville · United States 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/university-of-virginia/)

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 5 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 Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/)

🧭 Topics 1 Research subjects and languages the work is about.[Efficient models & compression · 2 works](https://md.research.elamur.ai/free/en/topics/efficient-models/)

## Works by year

### 2020s

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

## Papers

The most cited first (OpenAlex and our library).

1. **[Polynomial Expansion Rank Adaptation: Enhancing Low-Rank Fine-Tuning with High-Order Interactions](https://md.research.elamur.ai/free/en/papers/zhang-2026-polynomial-expansion-rank-adaptation-enhancing/)** *(2026 · 1 citation)* LoRA, the standard parameter-efficient method for fine-tuning LLMs, builds each weight update as a product of two low-rank matrices.
2. **[Reducing Token Redundancy in LVLMs: A Systematic Review of Token Pruning Methods](https://md.research.elamur.ai/free/en/papers/yuan-2026-reducing-token-redundancy-lvlms-systematic/)** *(2026)* Modern LVLMs turn high-resolution images, multi-image inputs and long videos into very long sequences of visual tokens.

## Co-authors here

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

- [Jiasen Lu](https://md.research.elamur.ai/free/en/authors/jiasen-lu/)
- [Li Ni](https://md.research.elamur.ai/free/en/authors/li-ni/)
- [Lin Mu](https://md.research.elamur.ai/free/en/authors/lin-mu/)
- [Peiquan Jin](https://md.research.elamur.ai/free/en/authors/peiquan-jin/)
- [Sheng Li](https://md.research.elamur.ai/free/en/authors/sheng-li/)
- [Yiwen Zhang](https://md.research.elamur.ai/free/en/authors/yiwen-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/): [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
