--- title: "Yu Wan — author profile and papers — Elamur Research" description: "Yu Wan, Chongqing University of Posts and Telecommunications: 3 papers on Elamur Research (2022–2026), h-index 12 — affiliations…" canonical: "https://research.elamur.ai/free/en/authors/yu-wan/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yu-wan/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yu Wan # Yu Wan Yu Wan has 3 papers in our library, in 2022–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Baosong Yang](https://md.research.elamur.ai/free/en/authors/baosong-yang/), [Boyi Deng](https://md.research.elamur.ai/free/en/authors/boyi-deng/), [Boxing Chen](https://md.research.elamur.ai/free/en/authors/boxing-chen/). 3 papers in our library · 2022–2026 [OpenAlex](https://openalex.org/A5100377278) · [ORCID](https://orcid.org/0000-0002-7310-7883) · [**h-index 12**](https://openalex.org/authors/A5100377278) · [58 works](https://openalex.org/works?filter=author.id:A5100377278) · [456 citations](https://openalex.org/works?filter=author.id:A5100377278&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/yu-wan/#papers) · [🔗 Cited 220 times in our library](https://md.research.elamur.ai/free/en/authors/yu-wan/cited-by/) · [4 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6545](https://md.research.elamur.ai/free/en/paper-stars/page/66/#star-6545) 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=Yu+Wan) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yu+Wan) · [dblp](https://dblp.org/search?q=Yu+Wan) · [ACL Anthology](https://aclanthology.org/search/?q=Yu+Wan) ## Affiliations [🎓**Chongqing University** Chongqing · China 2024–2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/universities/chongqing-university/) · [🎓**Chongqing University of Posts and Telecommunications** Chongqing · China 2025–2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/universities/chongqing-university-of-posts-and-telecommunications/) · [🎓**University of Macau** Macao · China 2018–2023 · 7 papersEducation since 2018 · Doctor, Computer Science](https://md.research.elamur.ai/free/en/universities/university-of-macau/) · [🏢**Alibaba Group** Hangzhou · China 2020–2023 · 6 papers](https://md.research.elamur.ai/free/en/companies/alibaba-group/) · [🎓**Wuhan University of Technology** Wuhan · China 2022–2024 · 5 papers](https://md.research.elamur.ai/free/en/universities/wuhan-university-of-technology/) · [🎓**Nanchang University** Nanchang · China 2024 · 3 papers](https://ror.org/042v6xz23) · [🎓**Xiangtan University** Xiangtan · China 2023–2024 · 3 papers](https://ror.org/00xsfaz62) · [🔬**National Library of the Philippines** Manila · Philippines 2022–2023 · 3 papers](https://ror.org/0018qct18) · [🎓**Xiamen University** Xiamen · China 2014–2018 · 3 papersEducation 2014–2017 · Master, Department of Cognitive Science](https://md.research.elamur.ai/free/en/universities/xiamen-university/) · [🏛️**Chinese Academy of Forestry** Beijing · China 2024–2025 · 2 papers](https://ror.org/0360dkv71) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 14 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 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 3 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Machine translation · 1 work](https://md.research.elamur.ai/free/en/topics/machine-translation/) 💡 Concepts 1 Key ideas and methods explained on our concept pages.[chrF · 1 work](https://md.research.elamur.ai/free/en/concepts/chrf/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/yu-wan/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/yu-wan/year/2025/) · [**2022** 1 paper](https://md.research.elamur.ai/free/en/authors/yu-wan/year/2022/) ## Papers The most cited first (OpenAlex and our library). 1. **[UniTE: Unified Translation Evaluation](https://md.research.elamur.ai/free/en/papers/wan-2022-unite-unified-translation-evaluation/)** *(2022 · 100 citations)* Machine translation evaluation usually comes in three variants: comparing a hypothesis with a reference (REF), with the source sentence only, also called quality estimation (SRC), or with both (SRC+REF). 2. **[Unveiling Language-Specific Features in Large Language Models via Sparse Autoencoders](https://md.research.elamur.ai/free/en/papers/deng-2025-unveiling-language-specific-features-large/)** *(2025 · 18 citations)* The paper asks how large language models represent individual languages internally. Earlier work relied on single neurons, which suffer from superposition, or on logit-lens readouts, which are unreliable outside the final layers. The authors instead use pretrained Sparse Autoencoders (SAEs), which split… 3. **[Qwen-Scope: Turning Sparse Features into Development Tools for Large Language Models](https://md.research.elamur.ai/free/en/papers/deng-2026-qwen-scope-turning-sparse/)** *(2026 · 3 citations)* Sparse autoencoders (SAEs) break LLM hidden states into a small number of interpretable directions. In practice, though, they have mostly been used to inspect and label features after the fact, not to build or fix models. The Qwen Team addresses this with Qwen-Scope, an openly released collection of SAEs trained on… ## All works 7 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. **[Uncertainty-Aware Curriculum Learning for Neural Machine Translation ↗](https://aclanthology.org/2020.acl-main.620/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yet**Yikai Zhou et al.*2020 · 123 citations* 2. **[PolyLM: An Open Source Polyglot Large Language Model ↗](https://arxiv.org/abs/2307.06018) arXiv:2307.06018 · no summary yet**Xiangpeng Wei et al.*2023 · 103 citations* 3. **[UniTE: Unified Translation Evaluation](https://md.research.elamur.ai/free/en/papers/wan-2022-unite-unified-translation-evaluation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yu Wan, Dayiheng Liu, Baosong Yang, et al.*2022 · 100 citations* 4. **[Unveiling Language-Specific Features in Large Language Models via Sparse Autoencoders](https://md.research.elamur.ai/free/en/papers/deng-2025-unveiling-language-specific-features-large/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Boyi Deng, Yu Wan, Baosong Yang, et al.*2025 · 18 citations* 5. **[Alibaba-Translate China's Submission for WMT 2022 Quality Estimation Shared Task ↗](https://aclanthology.org/2022.wmt-1.55/) Proceedings of the Seventh Conference on Machine Translation (WMT) · no summary yet**Keqin Bao et al.*2022 · 4 citations* 6. [**Qwen-Scope: Turning Sparse Features into Development Tools for Large Language Models arXiv:2605.11887**Boyi Deng, Xu Wang, Yaoning Wang, et al.*2026 · 3 citations*](https://md.research.elamur.ai/free/en/papers/deng-2026-qwen-scope-turning-sparse/) 7. **[Towards Fine-Grained Information: Identifying the Type and Location of Translation Errors ↗](https://arxiv.org/abs/2302.08975) arXiv:2302.08975 · no summary yet**Keqin Bao et al.*2023 · 2 citations* ## Co-authors here 12 of 13 co-authors with a page, the most papers together first. - [Baosong Yang](https://md.research.elamur.ai/free/en/authors/baosong-yang/) ×3 - [Boyi Deng](https://md.research.elamur.ai/free/en/authors/boyi-deng/) ×2 - [Boxing Chen](https://md.research.elamur.ai/free/en/authors/boxing-chen/) - [Dayiheng Liu](https://md.research.elamur.ai/free/en/authors/dayiheng-liu/) - [Derek F. Wong](https://md.research.elamur.ai/free/en/authors/derek-f-wong/) - [Fuli Feng](https://md.research.elamur.ai/free/en/authors/fuli-feng/) - [Haibo Zhang](https://md.research.elamur.ai/free/en/authors/haibo-zhang/) - [Haoran Wei](https://md.research.elamur.ai/free/en/authors/haoran-wei/) - [Huan Lin](https://md.research.elamur.ai/free/en/authors/huan-lin/) - [Jialong Tang](https://md.research.elamur.ai/free/en/authors/jialong-tang/) - [Lidia S. Chao](https://md.research.elamur.ai/free/en/authors/lidia-s-chao/) - [Xu Wang](https://md.research.elamur.ai/free/en/authors/xu-wang/) ## 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 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/), [ACL 2022](https://md.research.elamur.ai/free/en/venues/acl/2022/) - Proceedings of the Seventh Conference on Machine Translation (WMT) ## Cited by Papers of our library cite their works 220 times (of the 149,439 papers whose bibliographies we read); [45 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yu-wan/cited-by/). Updated 1 November 2026