--- title: "Shwai He — author profile and papers — Elamur Research" description: "Shwai He, University of Maryland, College Park: 2 papers on Elamur Research (2023–2024), h-index 4 — affiliations, topics, co-authors and…" canonical: "https://research.elamur.ai/free/en/authors/shwai-he/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/shwai-he/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Shwai He # Shwai He Shwai He has 2 papers in our library, in 2023–2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Tianyi Zhou](https://md.research.elamur.ai/free/en/authors/tianyi-zhou/), [Dacheng Tao](https://md.research.elamur.ai/free/en/authors/dacheng-tao/), [Jianzong Wang](https://md.research.elamur.ai/free/en/authors/jianzong-wang/). 2 papers in our library · 2023–2024 [OpenAlex](https://openalex.org/A5019534658) · [**h-index 4**](https://openalex.org/authors/A5019534658) · [10 works](https://openalex.org/works?filter=author.id:A5019534658) · [95 citations](https://openalex.org/works?filter=author.id:A5019534658&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/shwai-he/#papers) · [🔗 Cited 66 times in our library](https://md.research.elamur.ai/free/en/authors/shwai-he/cited-by/) · [⭐ Paper Stars ranking: #7317](https://md.research.elamur.ai/free/en/paper-stars/page/74/#star-7317) 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=Shwai+He) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Shwai+He) · [dblp](https://dblp.org/search?q=Shwai+He) · [ACL Anthology](https://aclanthology.org/search/?q=Shwai+He) ## Affiliations [🎓**University of Maryland, College Park** College Park · United States 2023–2025 · 5 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-maryland-college-park/) · [🎓**Fudan University** Shanghai · China 2023–2024 · 2 papers](https://md.research.elamur.ai/free/en/universities/fudan-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution 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.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/shwai-he/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/shwai-he/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning](https://md.research.elamur.ai/free/en/papers/li-2024-superfiltering-weak-strong-data-filtering/)** *(2024 · 60 citations)* Selecting a small, high-quality subset of instruction data can make LLM instruction tuning cheaper and better. 2. **[MerA: Merging Pretrained Adapters For Few-Shot Learning](https://md.research.elamur.ai/free/en/papers/he-2023-mera-merging-pretrained-adapters-few/)** *(2023 · 11 citations)* Adapter tuning trains only small bottleneck modules inside a frozen pretrained language model. These modules start from random weights, so they tend to underperform when only a handful of labeled examples are available. AdapterFusion reuses previously trained adapters, but its attention-style composition layers add… ## Co-authors here 10 co-authors with a page, the most papers together first. - [Tianyi Zhou](https://md.research.elamur.ai/free/en/authors/tianyi-zhou/) ×2 - [Dacheng Tao](https://md.research.elamur.ai/free/en/authors/dacheng-tao/) - [Jianzong Wang](https://md.research.elamur.ai/free/en/authors/jianzong-wang/) - [Li Shen](https://md.research.elamur.ai/free/en/authors/li-shen/) - [Liang Ding](https://md.research.elamur.ai/free/en/authors/liang-ding/) - [Ming Li](https://md.research.elamur.ai/free/en/authors/ming-li/) - [Ning Cheng](https://md.research.elamur.ai/free/en/authors/ning-cheng/) - [Run-Ze Fan](https://md.research.elamur.ai/free/en/authors/run-ze-fan/) - [Yong Zhang](https://md.research.elamur.ai/free/en/authors/yong-zhang/) - [Zhitao Li](https://md.research.elamur.ai/free/en/authors/zhitao-li/) ## Cited by Papers of our library cite their works 66 times (of the 149,439 papers whose bibliographies we read); [14 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/shwai-he/cited-by/). Updated 30 October 2026