---
title: "Xiaojun Wu — author profile and papers — Elamur Research"
description: "Xiaojun Wu, The Hong Kong University of Science and Technology (Guangzhou): 2 papers on Elamur Research (2026), h-index 1…"
canonical: "https://research.elamur.ai/free/en/authors/xiaojun-wu/"
---
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# Xiaojun Wu

Xiaojun Wu has 2 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Cehao Yang](https://md.research.elamur.ai/free/en/authors/cehao-yang/), [Chengjin Xu](https://md.research.elamur.ai/free/en/authors/chengjin-xu/), [Jian Guo](https://md.research.elamur.ai/free/en/authors/jian-guo/).

2 papers in our library · 2026

[OpenAlex](https://openalex.org/A5137013765) · [**h-index 1**](https://openalex.org/authors/A5137013765) · [13 works](https://openalex.org/works?filter=author.id:A5137013765) · [4 citations](https://openalex.org/works?filter=author.id:A5137013765&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/xiaojun-wu/#papers) · [🔗 Cited 3 times in our library](https://md.research.elamur.ai/free/en/authors/xiaojun-wu/cited-by/) · [⭐ Paper Stars ranking: #10779](https://md.research.elamur.ai/free/en/paper-stars/page/108/#star-10779)

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

## Affiliations

[🎓**The Hong Kong University of Science and Technology (Guangzhou)** Guangzhou · China 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/the-hong-kong-university-of-science-and-technology-guangzhou/)

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 4 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Multilingual & cross-lingual NLP · 1 work](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [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/xiaojun-wu/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Select2Reason: Efficient Instruction-Tuning Data Selection for Long-CoT Reasoning](https://md.research.elamur.ai/free/en/papers/yang-2026-select2reason-efficient-instruction-tuning-data/)** *(2026 · 4 citations)* Long chain-of-thought (long-CoT) reasoning can be instilled in LLMs cheaply by supervised fine-tuning on traces generated by strong reasoning models.
2. **[DataArc-SynData-Toolkit: A Unified Closed-Loop Framework for Multi-Path, Multimodal, and Multilingual Data Synthesis](https://md.research.elamur.ai/free/en/papers/shi-2026-dataarc-syndata-toolkit-unified-closed/)** *(2026)* Synthetic data can ease data shortages for LLMs in specialised domains and low-resource languages, but current tools tend to be hard for non-experts, rely on inconsistent data formats, and handle extra modalities or languages poorly.

## Co-authors here

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

- [Cehao Yang](https://md.research.elamur.ai/free/en/authors/cehao-yang/) ×2
- [Chengjin Xu](https://md.research.elamur.ai/free/en/authors/chengjin-xu/) ×2
- [Jian Guo](https://md.research.elamur.ai/free/en/authors/jian-guo/) ×2
- [Xuhui Jiang](https://md.research.elamur.ai/free/en/authors/xuhui-jiang/) ×2
- [Hao Zhou](https://md.research.elamur.ai/free/en/authors/hao-zhou/)
- [Hui Xiong](https://md.research.elamur.ai/free/en/authors/hui-xiong/)
- [Xueyuan Lin](https://md.research.elamur.ai/free/en/authors/xueyuan-lin/)
- [Yuanzhuo Wang](https://md.research.elamur.ai/free/en/authors/yuanzhuo-wang/)
- [Zhichao Shi](https://md.research.elamur.ai/free/en/authors/zhichao-shi/)

## 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/)

## Cited by

Papers of our library cite their works 3 times (of the 149,439 papers whose bibliographies we read); [2 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/xiaojun-wu/cited-by/).

Updated 1 November 2026
