--- title: "Ziyan Wang — author profile and papers — Elamur Research" description: "Ziyan Wang, University of North Carolina at Charlotte: 2 papers on Elamur Research (2026), h-index 31 — affiliations, topics, co-authors and…" canonical: "https://research.elamur.ai/free/en/authors/ziyan-wang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/ziyan-wang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Ziyan Wang # Ziyan Wang Ziyan 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/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Hao Feng](https://md.research.elamur.ai/free/en/authors/hao-feng/), [Jie Zhang](https://md.research.elamur.ai/free/en/authors/jie-zhang/), [Li Yang](https://md.research.elamur.ai/free/en/authors/li-yang/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5100653669) · [ORCID](https://orcid.org/0000-0003-2017-1993) · [**h-index 31**](https://openalex.org/authors/A5100653669) · [191 works](https://openalex.org/works?filter=author.id:A5100653669) · [2,949 citations](https://openalex.org/works?filter=author.id:A5100653669&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/ziyan-wang/#papers) · 🔗 Cited 1 time in our library · [⭐ Paper Stars ranking: #11787](https://md.research.elamur.ai/free/en/paper-stars/page/118/#star-11787) 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=Ziyan+Wang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Ziyan+Wang) · [dblp](https://dblp.org/search?q=Ziyan+Wang) · [ACL Anthology](https://aclanthology.org/search/?q=Ziyan+Wang) ## Affiliations [🎓**Nanjing Medical University** Nanjing · China 2020–2026 · 5 papers*current*](https://ror.org/059gcgy73) · [🎓**Qingdao University** Qingdao · China 2026 · 3 papers*current*](https://ror.org/021cj6z65) · [🎓**Xi'an Jiaotong University** Xi'an · China 2025–2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/xi-an-jiaotong-university/) · [🎓**Dartmouth College** Hanover · United States 2024–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/dartmouth-college/) · [🏥**Third Affiliated Hospital of Harbin Medical University** Harbin · China 2024–2026 · 2 papers*current*](https://ror.org/01f77gp95) · [🎓**Chengdu University** Chengdu · China 2026 · 1 paper*current*](https://ror.org/034z67559) · [🎓**Harbin Medical University** Harbin · China 2026 · 1 paper*current*](https://ror.org/05jscf583) · [🎓**Jiangxi University of Traditional Chinese Medicine** Nanchang · China 2026 · 1 paper*current*](https://ror.org/03jy32q83) · [🏥**Twelfth Guangzhou City People's Hospital** Guangzhou · China 2026 · 1 paper*current*](https://ror.org/03hm7k454) · [🎓**University of North Carolina at Charlotte** Charlotte · United States 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/university-of-north-carolina-at-charlotte/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 78 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 8 The field of science this work belongs to (OpenAlex fields).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [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/) · [Management Science and Operations Research · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/management-science-and-operations-research/) 🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/ziyan-wang/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[From Local to Global: Revisiting Structured Pruning Paradigms for Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2026-local-global-revisiting-structured-pruning/)** *(2026 · 1 citation)* Most structured pruning methods for LLMs work locally. They rebuild each layer's outputs separately from calibration data. This keeps perplexity and generic zero-shot behaviour reasonable, but it does not tie the pruning to a downstream task, so task-specific calibration data adds little. The authors return to global… 2. **[Adaptive and Representative Multi-Interest Modeling for Recommendation with Large Language Model](https://md.research.elamur.ai/free/en/papers/wang-2026-adaptive-representative-multi-interest-modeling/)** *(2026)* Multi-interest recommenders give each user several representation vectors. Most of them group items with heuristics such as embedding similarity or co-occurrence, and these heuristics break down when interactions are sparse or side information is incomplete. The authors propose LARMI, a framework in which an LLM… ## Co-authors here 6 co-authors with a page, the most papers together first. - [Hao Feng](https://md.research.elamur.ai/free/en/authors/hao-feng/) - [Jie Zhang](https://md.research.elamur.ai/free/en/authors/jie-zhang/) - [Li Yang](https://md.research.elamur.ai/free/en/authors/li-yang/) - [Tianjun Wei](https://md.research.elamur.ai/free/en/authors/tianjun-wei/) - [Yingpeng Du](https://md.research.elamur.ai/free/en/authors/yingpeng-du/) - [Zhu Sun](https://md.research.elamur.ai/free/en/authors/zhu-sun/) ## 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/) ## Cited by Papers of our library cite their works 1 time (of the 149,439 papers whose bibliographies we read). Updated 1 November 2026