--- title: "Xuan Ouyang — author profile and papers — Elamur Research" description: "Xuan Ouyang: 2 papers on Elamur Research (2020–2026), h-index 5 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/xuan-ouyang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/xuan-ouyang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Xuan Ouyang # Xuan Ouyang Xuan Ouyang has 2 papers in our library, in 2020–2026, most of them on [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Chao Pang](https://md.research.elamur.ai/free/en/authors/chao-pang/), [Haifeng Wang](https://md.research.elamur.ai/free/en/authors/haifeng-wang/), [Hao Tian](https://md.research.elamur.ai/free/en/authors/hao-tian/). 2 papers in our library · 2020–2026 [OpenAlex](https://openalex.org/A5109461795) · [ORCID](https://orcid.org/0009-0005-4115-7340) · [**h-index 5**](https://openalex.org/authors/A5109461795) · [9 works](https://openalex.org/works?filter=author.id:A5109461795) · [330 citations](https://openalex.org/works?filter=author.id:A5109461795&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/xuan-ouyang/#papers) · [🔗 Cited 206 times in our library](https://md.research.elamur.ai/free/en/authors/xuan-ouyang/cited-by/) · [⭐ Paper Stars ranking: #6468](https://md.research.elamur.ai/free/en/paper-stars/page/65/#star-6468) 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=Xuan+Ouyang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Xuan+Ouyang) · [dblp](https://dblp.org/search?q=Xuan+Ouyang) · [ACL Anthology](https://aclanthology.org/search/?q=Xuan+Ouyang) ## Affiliations [🏢**Baidu** Beijing · China 2020–2021 · 7 papers](https://md.research.elamur.ai/free/en/companies/baidu/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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 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/) · [Signal Processing · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/signal-processing/) 🧭 Topics 2 Research subjects and languages the work is about.[Multilingual & cross-lingual NLP · 1 work](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) 💡 Concepts 1 Key ideas and methods explained on our concept pages.[Semantics · 1 work](https://md.research.elamur.ai/free/en/concepts/semantics/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/xuan-ouyang/year/2026/) · [**2020** 1 paper](https://md.research.elamur.ai/free/en/authors/xuan-ouyang/year/2020/) ## Papers The most cited first (OpenAlex and our library). 1. **[ERNIE-M: Enhanced Multilingual Representation by Aligning Cross-lingual Semantics with Monolingual Corpora](https://md.research.elamur.ai/free/en/papers/ouyang-2020-ernie-m-enhanced-multilingual/)** *(2020 · 128 citations)* Cross-lingual pre-trained encoders gain a lot from parallel data, but bilingual corpora are scarce, particularly for low-resource languages, which limits how well such models align meaning across languages. 2. **[MelTrim: Coarse-to-Fine Data Pruning for Speech Classification](https://md.research.elamur.ai/free/en/papers/wang-2026-meltrim-coarse-fine-data-pruning/)** *(2026)* Data pruning, which means selecting a small coreset that trains models nearly as well as the full dataset, has been studied mostly for images and text. ## Co-authors here 9 co-authors with a page, the most papers together first. - [Chao Pang](https://md.research.elamur.ai/free/en/authors/chao-pang/) - [Haifeng Wang](https://md.research.elamur.ai/free/en/authors/haifeng-wang/) - [Hao Tian](https://md.research.elamur.ai/free/en/authors/hao-tian/) - [Hua Ren Wu](https://md.research.elamur.ai/free/en/authors/hua-ren-wu/) - [Linfeng Zhang](https://md.research.elamur.ai/free/en/authors/linfeng-zhang/) - [Shaobo Wang](https://md.research.elamur.ai/free/en/authors/shaobo-wang/) - [Shuohuan Wang](https://md.research.elamur.ai/free/en/authors/shuohuan-wang/) - [Xintong Li](https://md.research.elamur.ai/free/en/authors/xintong-li/) - [Yu Sun](https://md.research.elamur.ai/free/en/authors/yu-sun/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2020](https://md.research.elamur.ai/free/en/venues/emnlp/2020/) - [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 206 times (of the 149,439 papers whose bibliographies we read); [33 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/xuan-ouyang/cited-by/). Updated 1 November 2026