--- title: "Yinghui Li — author profile and papers — Elamur Research" description: "Yinghui Li, Tencent: 3 papers on Elamur Research (2022–2024), h-index 14 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/yinghui-li/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yinghui-li/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yinghui Li # Yinghui Li Yinghui Li has 3 papers in our library, in 2022–2024, most of them on [Grammatical error correction & learner language](https://md.research.elamur.ai/free/en/topics/grammatical-error-correction/), [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/); often with [Libo Qin](https://md.research.elamur.ai/free/en/authors/libo-qin/), [Ying Shen](https://md.research.elamur.ai/free/en/authors/ying-shen/), [Hai-Tao Zheng](https://md.research.elamur.ai/free/en/authors/hai-tao-zheng/). 3 papers in our library · 2022–2024 [OpenAlex](https://openalex.org/A5100655630) · [ORCID](https://orcid.org/0000-0001-7571-6722) · [Wikidata](https://www.wikidata.org/wiki/Q131163869) · [**h-index 14**](https://openalex.org/authors/A5100655630) · [81 works](https://openalex.org/works?filter=author.id:A5100655630) · [769 citations](https://openalex.org/works?filter=author.id:A5100655630&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/yinghui-li/#papers) · [🔗 Cited 155 times in our library](https://md.research.elamur.ai/free/en/authors/yinghui-li/cited-by/) · [⭐ Paper Stars ranking: #7121](https://md.research.elamur.ai/free/en/paper-stars/page/72/#star-7121) 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=Yinghui+Li) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yinghui+Li) · [dblp](https://dblp.org/search?q=Yinghui+Li) · [ACL Anthology](https://aclanthology.org/search/?q=Yinghui+Li) ## Affiliations [🎓**Tsinghua University** Beijing · China 2017–2026 · 56 papersEmployment*current*](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🎓**Tsinghua Shenzhen International Graduate School** Shenzhen · China 2021–2026 · 43 papers*current*](https://md.research.elamur.ai/free/en/universities/tsinghua-shenzhen-international-graduate-school/) · [🏢**Tencent** Shenzhen · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/companies/tencent/) · [🔬**Peng Cheng Laboratory** Shenzhen · China 2023–2025 · 12 papers](https://md.research.elamur.ai/free/en/labs/peng-cheng-laboratory/) · [🎓**Guangdong University of Foreign Studies** Guangzhou · China 2018–2022 · 5 papers](https://md.research.elamur.ai/free/en/universities/guangdong-university-of-foreign-studies/) · [🏢**Alibaba Group** Hangzhou · China 2023–2024 · 3 papers](https://md.research.elamur.ai/free/en/companies/alibaba-group/) · [🎓**Beijing University of Posts and Telecommunications** Beijing · China 2015–2025 · 2 papers](https://md.research.elamur.ai/free/en/universities/beijing-university-of-posts-and-telecommunications/) · [🎓**Shanghai Jiao Tong University** Shanghai · China 2024–2025 · 2 papers](https://md.research.elamur.ai/free/en/universities/shanghai-jiao-tong-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 8 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).[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/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 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.[Grammatical error correction & learner language · 2 works](https://md.research.elamur.ai/free/en/topics/grammatical-error-correction/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Multilingual & cross-lingual NLP · 1 work](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) ## Works by year ### 2020s [**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/yinghui-li/year/2024/) · [**2022** 1 paper](https://md.research.elamur.ai/free/en/authors/yinghui-li/year/2022/) ## Papers The most cited first (OpenAlex and our library). 1. **[Multilingual Large Language Model: A Survey of Resources, Taxonomy and Frontiers](https://md.research.elamur.ai/free/en/papers/qin-2024-multilingual-large-language-model-survey/)** *(2024 · 75 citations)* Most large language models are trained mainly on English and perform noticeably worse in other languages, especially low-resource ones. 2. **[Linguistic Rules-Based Corpus Generation for Native Chinese Grammatical Error Correction](https://md.research.elamur.ai/free/en/papers/ma-2022-linguistic-rules-based-corpus-generation/)** *(2022 · 59 citations)* Most Chinese Grammatical Error Correction (CGEC) research faces two problems: there is little high-quality annotated training data, and standard test sets such as NLPCC and CGED contain errors from L2 learners. 3. **[EXCGEC: A Benchmark for Edit-Wise Explainable Chinese Grammatical Error Correction](https://md.research.elamur.ai/free/en/papers/ye-2024-excgec-benchmark-edit-wise-explainable/)** *(2024 · 15 citations)* Most grammatical error correction (GEC) systems return only a corrected sentence. This leaves second-language learners unsure what was wrong. Earlier explanation research also handled explaining apart from correcting. The authors define EXGEC, a task in which one model both fixes a text and justifies each edit. They… ## Co-authors here 12 of 20 co-authors with a page, the most papers together first. - [Libo Qin](https://md.research.elamur.ai/free/en/authors/libo-qin/) ×2 - [Ying Shen](https://md.research.elamur.ai/free/en/authors/ying-shen/) ×2 - [Hai-Tao Zheng](https://md.research.elamur.ai/free/en/authors/hai-tao-zheng/) - [Haitao Zheng](https://md.research.elamur.ai/free/en/authors/haitao-zheng/) - [Jingheng Ye](https://md.research.elamur.ai/free/en/authors/jingheng-ye/) - [Lizi Liao](https://md.research.elamur.ai/free/en/authors/lizi-liao/) - [Min Li](https://md.research.elamur.ai/free/en/authors/min-li/) - [Peng Xing](https://md.research.elamur.ai/free/en/authors/peng-xing/) - [Philip S. Yu](https://md.research.elamur.ai/free/en/authors/philip-s-yu/) - [Qiguang Chen](https://md.research.elamur.ai/free/en/authors/qiguang-chen/) - [Qingyu Zhou](https://md.research.elamur.ai/free/en/authors/qingyu-zhou/) - [Shirong Ma](https://md.research.elamur.ai/free/en/authors/shirong-ma/) ## 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/) - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2022](https://md.research.elamur.ai/free/en/venues/findings/2022/) - [Proceedings of the AAAI Conference on Artificial Intelligence](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/): [Proceedings of the AAAI Conference on Artificial Intelligence 2024](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/2024/) ## Cited by Papers of our library cite their works 155 times (of the 149,439 papers whose bibliographies we read); [36 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yinghui-li/cited-by/). Updated 2 November 2026