--- title: "Xiaobin Wang — author profile and papers — Elamur Research" description: "Xiaobin Wang, National University of Defense Technology: 2 papers on Elamur Research (2021–2022), h-index 6 — affiliations, topics…" canonical: "https://research.elamur.ai/free/en/authors/xiaobin-wang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/xiaobin-wang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Xiaobin Wang # Xiaobin Wang Xiaobin Wang has 2 papers in our library, in 2021–2022, most of them on [Named entity recognition](https://md.research.elamur.ai/free/en/topics/named-entity-recognition/); often with [Guangwei Xu](https://md.research.elamur.ai/free/en/authors/guangwei-xu/), [Haitao Zheng](https://md.research.elamur.ai/free/en/authors/haitao-zheng/), [Ning Ding](https://md.research.elamur.ai/free/en/authors/ning-ding/). 2 papers in our library · 2021–2022 [OpenAlex](https://openalex.org/A5101737553) · [ORCID](https://orcid.org/0009-0000-6201-6372) · [**h-index 6**](https://openalex.org/authors/A5101737553) · [21 works](https://openalex.org/works?filter=author.id:A5101737553) · [220 citations](https://openalex.org/works?filter=author.id:A5101737553&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/xiaobin-wang/#papers) · [🔗 Cited 170 times in our library](https://md.research.elamur.ai/free/en/authors/xiaobin-wang/cited-by/) · [⭐ Paper Stars ranking: #3317](https://md.research.elamur.ai/free/en/paper-stars/page/34/#star-3317) 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=Xiaobin+Wang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Xiaobin+Wang) · [dblp](https://dblp.org/search?q=Xiaobin+Wang) · [ACL Anthology](https://aclanthology.org/search/?q=Xiaobin+Wang) ## Affiliations [🎓**National University of Defense Technology** Changsha · China 2014–2026 · 7 papers*current*](https://md.research.elamur.ai/free/en/universities/national-university-of-defense-technology/) · [🏢**Alibaba Group** Hangzhou · China 2019–2022 · 3 papers](https://md.research.elamur.ai/free/en/companies/alibaba-group/) 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 4 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/) 🧭 Topics 1 Research subjects and languages the work is about.[Named entity recognition · 2 works](https://md.research.elamur.ai/free/en/topics/named-entity-recognition/) ## Works by year ### 2020s [**2022** 1 paper Xiaobin Wang's papers of 2022](https://md.research.elamur.ai/free/en/papers/ding-2022-prompt-learning-fine-grained-entity/) · [**2021** 1 paper Xiaobin Wang's papers of 2021](https://md.research.elamur.ai/free/en/papers/ding-2021-few-nerd-few-shot-named/) ## Papers The most cited first (OpenAlex and our library). 1. **[Few-NERD: A Few-shot Named Entity Recognition Dataset](https://md.research.elamur.ai/free/en/papers/ding-2021-few-nerd-few-shot-named/)** *(2021 · 335 citations)* Research on few-shot named entity recognition has lacked a dedicated benchmark. Earlier studies repurposed supervised corpora such as CoNLL'03, WNUT'17 and OntoNotes, which have only 4–18 coarse types and were evaluated under inconsistent settings. Real unseen entities, by contrast, tend to be fine-grained. To fill… 2. **[Prompt-learning for Fine-grained Entity Typing](https://md.research.elamur.ai/free/en/papers/ding-2022-prompt-learning-fine-grained-entity/)** *(2022 · 180 citations)* The paper asks whether prompt-learning, which recasts a downstream task as a cloze-style masked-word prediction, can replace classifier-based fine-tuning for fine-grained entity typing. It focuses on cases with little or no labelled data. The authors build a simple pipeline called PLET with two parts: ## Co-authors here 8 co-authors with a page, the most papers together first. - [Guangwei Xu](https://md.research.elamur.ai/free/en/authors/guangwei-xu/) ×2 - [Haitao Zheng](https://md.research.elamur.ai/free/en/authors/haitao-zheng/) ×2 - [Ning Ding](https://md.research.elamur.ai/free/en/authors/ning-ding/) ×2 - [Pengjun Xie](https://md.research.elamur.ai/free/en/authors/pengjun-xie/) ×2 - [Xu Han](https://md.research.elamur.ai/free/en/authors/xu-han/) ×2 - [Yulin Chen](https://md.research.elamur.ai/free/en/authors/yulin-chen/) ×2 - [Zhiyuan Liu](https://md.research.elamur.ai/free/en/authors/zhiyuan-liu/) ×2 - [Juanzi Li](https://md.research.elamur.ai/free/en/authors/juanzi-li/) ## 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/): [ACL 2021](https://md.research.elamur.ai/free/en/venues/acl/2021/) - [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/) ## Cited by Papers of our library cite their works 170 times (of the 141,840 papers whose bibliographies we read); [13 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/xiaobin-wang/cited-by/). Updated 24 October 2026