---
title: "Xinwei Wu — author profile and papers — Elamur Research"
description: "Xinwei Wu, Guangzhou Center for Disease Control and Prevention: 5 papers on Elamur Research (2023–2026), h-index 16 — affiliations…"
canonical: "https://research.elamur.ai/free/en/authors/xinwei-wu/"
---
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# Xinwei Wu

Xinwei Wu has 5 papers in our library, in 2023–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/), [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/); often with [Deyi Xiong](https://md.research.elamur.ai/free/en/authors/deyi-xiong/), [Hao Wang](https://md.research.elamur.ai/free/en/authors/hao-wang/), [Heng Liu](https://md.research.elamur.ai/free/en/authors/heng-liu/).

5 papers in our library · 2023–2026

[OpenAlex](https://openalex.org/A5110363756) · [**h-index 16**](https://openalex.org/authors/A5110363756) · [41 works](https://openalex.org/works?filter=author.id:A5110363756) · [1,316 citations](https://openalex.org/works?filter=author.id:A5110363756&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 5 works in our library](https://md.research.elamur.ai/free/en/authors/xinwei-wu/#papers) · [🔗 Cited 89 times in our library](https://md.research.elamur.ai/free/en/authors/xinwei-wu/cited-by/) · [⭐ Paper Stars ranking: #6488](https://md.research.elamur.ai/free/en/paper-stars/page/65/#star-6488)

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

## Affiliations

[🏛️**Guangzhou Center for Disease Control and Prevention** Guangzhou · China 2009–2026 · 32 papers*current*](https://ror.org/007jnt575) · [🎓**Guangzhou Medical University** Guangzhou · China 2024–2026 · 2 papers*current*](https://ror.org/00zat6v61) · [🏥**Fourth Affiliated Hospital of China Medical University** Shenyang · China 2014–2018 · 3 papers](https://ror.org/012sz4c50) · [🎓**Tianjin University** Tianjin · China 2023–2024 · 2 papers](https://md.research.elamur.ai/free/en/universities/tianjin-university/) · [🎓**Xinjiang University of Finance and Economics** Ürümqi · China 2024 · 2 papers](https://ror.org/00fk31757) · [🎓**China Medical University** Shenyang · China 2016–2018 · 2 papers](https://ror.org/032d4f246)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

## Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 6 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Science · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Safety Research · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/)

🧭 Topics 4 Research subjects and languages the work is about.[Language models & pretraining · 3 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Bias, fairness & safety · 2 works](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Interpretability · 1 work](https://md.research.elamur.ai/free/en/topics/interpretability/) · [Machine translation · 1 work](https://md.research.elamur.ai/free/en/topics/machine-translation/)

## Works by year

### 2020s

[**2026** 4 papers](https://md.research.elamur.ai/free/en/authors/xinwei-wu/year/2026/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/xinwei-wu/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Large Language Model Alignment: A Survey](https://md.research.elamur.ai/free/en/papers/shen-2023-large-language-model-alignment-survey/)** *(2023 · 124 citations)* Large language models have improved rapidly, yet they can still produce output that is inaccurate, misleading or harmful.
2. **[Incentivizing Parametric Knowledge via Reinforcement Learning with Verifiable Rewards for Cross-Cultural Entity Translation](https://md.research.elamur.ai/free/en/papers/zhou-2026-incentivizing-parametric-knowledge-reinforcement-learning/)** *(2026 · 1 citation)* Large language models often mistranslate culturally grounded entities such as songs, films, books, places and idioms.
3. **[From Insight to Action: A Novel Framework for Interpretability-Guided Data Selection in Large Language Models](https://md.research.elamur.ai/free/en/papers/shi-2026-insight-action-novel-framework-interpretability/)** *(2026)* Sparse Autoencoders (SAEs) and other mechanistic interpretability tools can expose meaningful features inside LLMs, but these findings are rarely used to improve the models themselves.
4. **[M²PO: Multi-Perspective Multi-Pair Preference Optimization for Machine Translation](https://md.research.elamur.ai/free/en/papers/wang-2026-m-2-po-multi-perspective/)** *(2026)* The paper tackles unreliable reward signals in preference-based alignment of LLMs for machine translation.
5. **[Neuronal Insights into LLM Attacks: Targeted Neuron Tuning for Precise and Robust Vulnerability Patching](https://md.research.elamur.ai/free/en/papers/shi-2026-neuronal-insights-into-llm-attacks/)** *(2026)* Safety-aligned LLMs can still be jailbroken, and it is not well understood which internal components such attacks exploit.

## Co-authors here

12 of 22 co-authors with a page, the most papers together first.

- [Deyi Xiong](https://md.research.elamur.ai/free/en/authors/deyi-xiong/) ×4
- [Hao Wang](https://md.research.elamur.ai/free/en/authors/hao-wang/) ×3
- [Heng Liu](https://md.research.elamur.ai/free/en/authors/heng-liu/) ×3
- [Linlong Xu](https://md.research.elamur.ai/free/en/authors/linlong-xu/) ×3
- [Xiaohu Zhao](https://md.research.elamur.ai/free/en/authors/xiaohu-zhao/) ×3
- [Yangyang Liu](https://md.research.elamur.ai/free/en/authors/yangyang-liu/) ×3
- [Jiang Zhou](https://md.research.elamur.ai/free/en/authors/jiang-zhou/) ×2
- [Longyue Wang](https://md.research.elamur.ai/free/en/authors/longyue-wang/) ×2
- [Renren Jin](https://md.research.elamur.ai/free/en/authors/renren-jin/) ×2
- [Tianyu Dong](https://md.research.elamur.ai/free/en/authors/tianyu-dong/) ×2
- [Weihua Luo](https://md.research.elamur.ai/free/en/authors/weihua-luo/) ×2
- [Bo Zeng](https://md.research.elamur.ai/free/en/authors/bo-zeng/)

## 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/) ×3: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×3
- [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 89 times (of the 149,439 papers whose bibliographies we read); [17 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/xinwei-wu/cited-by/).

Updated 1 November 2026
