---
title: "Yingce Xia · Peking University — author profile and papers"
description: "Yingce Xia, Peking University: 3 papers on Elamur Research (2019), h-index 32 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/yingce-xia/"
---
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# Yingce Xia

Yingce Xia has 3 papers in our library, in 2019, most of them on [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/), [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/); often with [Tao Qin](https://md.research.elamur.ai/free/en/authors/tao-qin/), [Tie-Yan Liu](https://md.research.elamur.ai/free/en/authors/tie-yan-liu/), [Lijun Wu](https://md.research.elamur.ai/free/en/authors/lijun-wu/).

3 papers in our library · 2019

[OpenAlex](https://openalex.org/A5021772140) · [ORCID](https://orcid.org/0000-0001-9823-9033) · [Wikidata](https://www.wikidata.org/wiki/Q130940044) · [**h-index 32**](https://openalex.org/authors/A5021772140) · [112 works](https://openalex.org/works?filter=author.id:A5021772140) · [4,945 citations](https://openalex.org/works?filter=author.id:A5021772140&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/yingce-xia/#papers) · [🔗 Cited 446 times in our library](https://md.research.elamur.ai/free/en/authors/yingce-xia/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #3581](https://md.research.elamur.ai/free/en/paper-stars/page/36/#star-3581)

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

## Affiliations

[🎓**Peking University** Beijing · China 2016–2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/universities/peking-university/) · [🏢**Microsoft Research Asia** Beijing · China 2019–2024 · 39 papers](https://md.research.elamur.ai/free/en/companies/microsoft-research-asia/) · [🏢**Microsoft** Redmond · United States 2018–2024 · 24 papers](https://md.research.elamur.ai/free/en/companies/microsoft/) · [🎓**University of Science and Technology of China** Hefei · China 2014–2021 · 18 papers](https://md.research.elamur.ai/free/en/universities/university-of-science-and-technology-of-china/)

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.

## 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 · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

🧭 Topics 2 Research subjects and languages the work is about.[Machine translation · 3 works](https://md.research.elamur.ai/free/en/topics/machine-translation/) · [Multilingual & cross-lingual NLP · 1 work](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/)

## Works by year

### 2010s

[**2019** 3 papers Yingce Xia's papers of 2019](https://md.research.elamur.ai/free/en/authors/yingce-xia/year/2019/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Multilingual Neural Machine Translation with Language Clustering](https://md.research.elamur.ai/free/en/papers/tan-2019-multilingual-neural-machine-translation-language/)** *(2019 · 172 citations)* Supporting thousands of languages is hard with either extreme: one translation model per language pair is too costly, and a single shared model struggles when its languages are very dissimilar.
2. **[Soft Contextual Data Augmentation for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/gao-2019-soft-contextual-data-augmentation-neural/)** *(2019 · 172 citations)* Data augmentation is routine in computer vision but uncommon in neural machine translation. Simple text perturbations such as swapping, dropping or blanking words often distort meaning. Contextual replacement with language-model samples keeps meaning better, but it covers only a small part of the possible variations…
3. **[Exploiting Monolingual Data at Scale for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/wu-2019-exploiting-monolingual-data-scale-neural/)** *(2019 · 102 citations)* Back translation (BT) is a standard way to use target-language monolingual text in neural machine translation.

## All works

4 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

1. **[Multilingual Neural Machine Translation with Language Clustering](https://md.research.elamur.ai/free/en/papers/tan-2019-multilingual-neural-machine-translation-language/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Xu Tan, Jiale Chen, Di He, et al.*2019 · 172 citations*
2. **[Soft Contextual Data Augmentation for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/gao-2019-soft-contextual-data-augmentation-neural/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Fei Gao, Jinhua Zhu, Lijun Wu, et al.*2019 · 172 citations*
3. **[Exploiting Monolingual Data at Scale for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/wu-2019-exploiting-monolingual-data-scale-neural/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Lijun Wu, Yiren Wang, Yingce Xia, et al.*2019 · 102 citations*
4. **[CoPA: Benchmarking Personalized Question Answering with Data-Informed Cognitive Factors](https://aclanthology.org/2026.findings-acl.737/) Findings of the Association for Computational Linguistics: ACL 2026 · original ↗ · no summary yet**Hang Su et al.*2026*

## Co-authors here

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

- [Tao Qin](https://md.research.elamur.ai/free/en/authors/tao-qin/) ×3
- [Tie-Yan Liu](https://md.research.elamur.ai/free/en/authors/tie-yan-liu/) ×3
- [Lijun Wu](https://md.research.elamur.ai/free/en/authors/lijun-wu/) ×2
- [Di He](https://md.research.elamur.ai/free/en/authors/di-he/)
- [Jianhuang Lai](https://md.research.elamur.ai/free/en/authors/jianhuang-lai/)
- [Xu Tan](https://md.research.elamur.ai/free/en/authors/xu-tan/)
- [Xueqi Cheng](https://md.research.elamur.ai/free/en/authors/xueqi-cheng/)
- [Yiren Wang](https://md.research.elamur.ai/free/en/authors/yiren-wang/)

## 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/) ×2: [EMNLP 2019](https://md.research.elamur.ai/free/en/venues/emnlp/2019/) ×2
- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2019](https://md.research.elamur.ai/free/en/venues/acl/2019/)
- Findings of the Association for Computational Linguistics: ACL 2026

## Cited by

Papers of our library cite their works 446 times (of the 141,840 papers whose bibliographies we read); [51 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yingce-xia/cited-by/).

Updated 24 October 2026
