---
title: "Jianzong Wang — author profile and papers — Elamur Research"
description: "Jianzong Wang, Southern University of Science and Technology: 2 papers on Elamur Research (2023–2024), h-index 20 — affiliations, topics…"
canonical: "https://research.elamur.ai/free/en/authors/jianzong-wang/"
---
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# Jianzong Wang

Jianzong Wang 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 [Ming Li](https://md.research.elamur.ai/free/en/authors/ming-li/), [Ning Cheng](https://md.research.elamur.ai/free/en/authors/ning-cheng/), [Tianyi Zhou](https://md.research.elamur.ai/free/en/authors/tianyi-zhou/).

2 papers in our library · 2023–2024

[OpenAlex](https://openalex.org/A5074472751) · [ORCID](https://orcid.org/0000-0002-9237-4231) · [Wikidata](https://www.wikidata.org/wiki/Q130848326) · [**h-index 20**](https://openalex.org/authors/A5074472751) · [285 works](https://openalex.org/works?filter=author.id:A5074472751) · [2,380 citations](https://openalex.org/works?filter=author.id:A5074472751&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/jianzong-wang/#papers) · [🔗 Cited 206 times in our library](https://md.research.elamur.ai/free/en/authors/jianzong-wang/cited-by/) · [⭐ Paper Stars ranking: #4579](https://md.research.elamur.ai/free/en/paper-stars/page/46/#star-4579)

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

## Affiliations

[🏢**Ping An** Shenzhen · China 2015–2026 · 221 papers*current*](https://md.research.elamur.ai/free/en/companies/ping-an/) · [🎓**Southern University of Science and Technology** Shenzhen · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/southern-university-of-science-and-technology/) · [🎓**Huazhong University of Science and Technology** Wuhan · China 2008–2012 · 18 papers](https://md.research.elamur.ai/free/en/universities/huazhong-university-of-science-and-technology/) · [🔬**Wuhan National Laboratory for Optoelectronics** Wuhan · China 2008–2012 · 12 papers](https://ror.org/03c9ncn37) · [🎓**Guangdong University of Technology** Guangzhou · China 2015 · 3 papers](https://ror.org/04azbjn80) · [🏢**NetEase** Beijing · China 2013–2014 · 2 papers](https://ror.org/00fp6fj05) · [🎓**Rice University** Houston · United States 2010 · 2 papers](https://md.research.elamur.ai/free/en/universities/rice-university/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 9 more institutions on single bylines are not listed.

## Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 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 Jianzong Wang's papers of 2024](https://md.research.elamur.ai/free/en/papers/li-2024-superfiltering-weak-strong-data-filtering/) · [**2023** 1 paper Jianzong Wang'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.

- [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
- [Yong Zhang](https://md.research.elamur.ai/free/en/authors/yong-zhang/) ×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/jianzong-wang/cited-by/).

Updated 24 October 2026
