---
title: "Yong Zhang · Wenzhou University — author profile and papers"
description: "Yong Zhang, Wenzhou University: 2 papers on Elamur Research (2023–2024), h-index 12 — affiliations, topics, co-authors and who cites…"
canonical: "https://research.elamur.ai/free/en/authors/yong-zhang/"
---
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# Yong Zhang

Yong Zhang has 2 papers in our library, in 2023–2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Jianzong Wang](https://md.research.elamur.ai/free/en/authors/jianzong-wang/), [Ming Li](https://md.research.elamur.ai/free/en/authors/ming-li/), [Ning Cheng](https://md.research.elamur.ai/free/en/authors/ning-cheng/).

2 papers in our library · 2023–2024

[OpenAlex](https://openalex.org/A5100419707) · [ORCID](https://orcid.org/0000-0001-5396-4549) · [**h-index 12**](https://openalex.org/authors/A5100419707) · [52 works](https://openalex.org/works?filter=author.id:A5100419707) · [1,060 citations](https://openalex.org/works?filter=author.id:A5100419707&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/yong-zhang/#papers) · [🔗 Cited 206 times in our library](https://md.research.elamur.ai/free/en/authors/yong-zhang/cited-by/) · [⭐ Paper Stars ranking: #4582](https://md.research.elamur.ai/free/en/paper-stars/page/46/#star-4582)

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

## Affiliations

[🎓**Wenzhou University** Wenzhou · China 2025 · 1 paper*current*](https://ror.org/020hxh324) · [🎓**Chinese University of Hong Kong, Shenzhen** Shenzhen · China 2022–2023 · 4 papers](https://md.research.elamur.ai/free/en/universities/chinese-university-of-hong-kong-shenzhen/) · [🎓**Xi'an Jiaotong University** Xi'an · China 2003–2020 · 4 papers](https://md.research.elamur.ai/free/en/universities/xi-an-jiaotong-university/) · [🔬**China Special Equipment Inspection and Research Institute** Beijing · China 2018–2023 · 3 papers](https://ror.org/01fmwwp26) · [🎓**Shandong Academy of Agricultural Sciences** Jinan · China 2008–2021 · 3 papers](https://ror.org/01fbgjv04) · [🎓**Central China Normal University** Wuhan · China 2006–2023 · 2 papers](https://ror.org/03x1jna21) · [🏢**Huawei Technologies** Markham · Canada 2022–2023 · 2 papers](https://ror.org/026venb53) · [🏢**Tencent** Shenzhen · China 2021–2023 · 2 papers](https://md.research.elamur.ai/free/en/companies/tencent/) · [🎓**Tsinghua University** Beijing · China 2010–2013 · 2 papers](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🔬**IBM Research - Almaden** San Jose · United States 2010–2011 · 2 papers](https://md.research.elamur.ai/free/en/labs/ibm-research-almaden/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 16 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 4 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/)

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

## Works by year

### 2020s

[**2024** 1 paper Yong Zhang's papers of 2024](https://md.research.elamur.ai/free/en/papers/li-2024-superfiltering-weak-strong-data-filtering/) · [**2023** 1 paper Yong Zhang's papers of 2023](https://md.research.elamur.ai/free/en/papers/li-2023-quantity-quality-boosting-llm-performance/)

## Papers

The most cited first (OpenAlex and our library).

1. **[From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction Tuning](https://md.research.elamur.ai/free/en/papers/li-2023-quantity-quality-boosting-llm-performance/)** *(2023 · 157 citations)* LIMA showed that instruction tuning depends more on data quality than on volume. Picking good samples out of large open instruction sets still usually takes human curation or an external judge such as ChatGPT. This paper lets the target model choose its own training data. First, a base LLM gets a short warm-up…
2. **[Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning](https://md.research.elamur.ai/free/en/papers/li-2024-superfiltering-weak-strong-data-filtering/)** *(2024 · 60 citations)* Selecting a small, high-quality subset of instruction data can make LLM instruction tuning cheaper and better.

## Co-authors here

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

- [Jianzong Wang](https://md.research.elamur.ai/free/en/authors/jianzong-wang/) ×2
- [Ming Li](https://md.research.elamur.ai/free/en/authors/ming-li/) ×2
- [Ning Cheng](https://md.research.elamur.ai/free/en/authors/ning-cheng/) ×2
- [Tianyi Zhou](https://md.research.elamur.ai/free/en/authors/tianyi-zhou/) ×2
- [Zhitao Li](https://md.research.elamur.ai/free/en/authors/zhitao-li/) ×2
- [Lichang Chen](https://md.research.elamur.ai/free/en/authors/lichang-chen/)

## Cited by

Papers of our library cite their works 206 times (of the 141,840 papers whose bibliographies we read); [10 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yong-zhang/cited-by/).

Updated 24 October 2026
