--- title: "Xianquan Wang — author profile and papers — Elamur Research" description: "Xianquan Wang, University of Science and Technology of China: 2 papers on Elamur Research (2026), h-index 4 — affiliations, topics…" canonical: "https://research.elamur.ai/free/en/authors/xianquan-wang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/xianquan-wang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Xianquan Wang # Xianquan Wang Xianquan Wang has 2 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Jingyi Wang](https://md.research.elamur.ai/free/en/authors/jingyi-wang/), [Song-Li Wu](https://md.research.elamur.ai/free/en/authors/song-li-wu/), [Zhaocheng Du](https://md.research.elamur.ai/free/en/authors/zhaocheng-du/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5058613427) · [ORCID](https://orcid.org/0009-0003-9744-220X) · [**h-index 4**](https://openalex.org/authors/A5058613427) · [21 works](https://openalex.org/works?filter=author.id:A5058613427) · [31 citations](https://openalex.org/works?filter=author.id:A5058613427&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/xianquan-wang/#papers) · [⭐ Paper Stars ranking: #14004](https://md.research.elamur.ai/free/en/paper-stars/page/141/#star-14004) 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=Xianquan+Wang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Xianquan+Wang) · [dblp](https://dblp.org/search?q=Xianquan+Wang) · [ACL Anthology](https://aclanthology.org/search/?q=Xianquan+Wang) ## Affiliations [🎓**University of Science and Technology of China** Hefei · China 2024–2026 · 17 papers*current*](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. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 7 The field of science this work belongs to (OpenAlex fields).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Decision Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Management Science and Operations Research · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/management-science-and-operations-research/) 🧭 Topics 1 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/xianquan-wang/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[CaPEdit: Capability-Preserving Lifelong Knowledge Editing For Language Models](https://md.research.elamur.ai/free/en/papers/wu-2026-capedit-capability-preserving-lifelong-knowledge/)** *(2026)* Repeatedly editing facts in a large language model, known as lifelong knowledge editing (LKE), tends to wear down its broader abilities over time. 2. **[From ID to LLM: Rethinking Representation Learning for Recommendation](https://md.research.elamur.ai/free/en/papers/wu-2026-id-llm-rethinking-representation-learning/)** *(2026)* The paper examines why embeddings from large language models often lose to classic ID embeddings in recommender systems, even though they carry far more semantic knowledge. ## Co-authors here 3 co-authors with a page, the most papers together first. - [Jingyi Wang](https://md.research.elamur.ai/free/en/authors/jingyi-wang/) ×2 - [Song-Li Wu](https://md.research.elamur.ai/free/en/authors/song-li-wu/) ×2 - [Zhaocheng Du](https://md.research.elamur.ai/free/en/authors/zhaocheng-du/) ×2 ## 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 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) - [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/) Updated 2 November 2026