--- title: "Xiaoxia Wu — author profile and papers — Elamur Research" description: "Xiaoxia Wu, Zhejiang Chinese Medical University: 2 papers on Elamur Research (2022–2024), h-index 34 — affiliations, topics, co-authors…" canonical: "https://research.elamur.ai/free/en/authors/xiaoxia-wu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/xiaoxia-wu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Xiaoxia Wu # Xiaoxia Wu Xiaoxia Wu has 2 papers in our library, in 2022–2024, most of them on [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Chen Liang](https://md.research.elamur.ai/free/en/authors/chen-liang/), [Conglong Li](https://md.research.elamur.ai/free/en/authors/conglong-li/), [Hao Cheng](https://md.research.elamur.ai/free/en/authors/hao-cheng/). 2 papers in our library · 2022–2024 [OpenAlex](https://openalex.org/A5101058978) · [ORCID](https://orcid.org/0000-0002-1545-414X) · [**h-index 34**](https://openalex.org/authors/A5101058978) · [195 works](https://openalex.org/works?filter=author.id:A5101058978) · [3,709 citations](https://openalex.org/works?filter=author.id:A5101058978&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/xiaoxia-wu/#papers) · [🔗 Cited 207 times in our library](https://md.research.elamur.ai/free/en/authors/xiaoxia-wu/cited-by/) · [⭐ Paper Stars ranking: #5459](https://md.research.elamur.ai/free/en/paper-stars/page/55/#star-5459) 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=Xiaoxia+Wu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Xiaoxia+Wu) · [dblp](https://dblp.org/search?q=Xiaoxia+Wu) · [ACL Anthology](https://aclanthology.org/search/?q=Xiaoxia+Wu) ## Affiliations [🏥**Shenzhen Maternity and Child Healthcare Hospital** Shenzhen · China 2012–2026 · 11 papers*current*](https://ror.org/01me2d674) · [🎓**Southern Medical University** Guangzhou · China 2019–2026 · 8 papers*current*](https://ror.org/01vjw4z39) · [🏥**Shanxi Provincial Children's Hospital** Taiyuan · China 2016–2026 · 7 papers*current*](https://ror.org/042ry7b85) · [🎓**Nanjing Agricultural University** Nanjing · China 2019–2026 · 2 papers*current*](https://ror.org/05td3s095) · [🎓**Zhejiang Chinese Medical University** Hangzhou · China 2025–2026 · 2 papers*current*](https://ror.org/04epb4p87) · [🏥**Tongde Hospital of Zhejiang Province** Hangzhou · China 2026 · 1 paper*current*](https://ror.org/00trnhw76) · [🎓**Northeast Agricultural University** Harbin · China 2010–2025 · 66 papers](https://ror.org/0515nd386) · [🎓**University of Chinese Academy of Sciences** Beijing · China 2016–2024 · 16 papers](https://md.research.elamur.ai/free/en/universities/university-of-chinese-academy-of-sciences/) · [🎓**Yangzhou University** Yangzhou · China 2004–2023 · 16 papers](https://md.research.elamur.ai/free/en/universities/yangzhou-university/) · [🏛️**Chinese Academy of Sciences** Beijing · China 2010–2025 · 15 papers](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 35 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 · 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/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [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.[Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) ## Works by year ### 2020s [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/xiaoxia-wu/year/2024/) · [**2022** 1 paper](https://md.research.elamur.ai/free/en/authors/xiaoxia-wu/year/2022/) ## Papers The most cited first (OpenAlex and our library). 1. **[ZeroQuant: Efficient and Affordable Post-Training Quantization for Large-Scale Transformers](https://md.research.elamur.ai/free/en/papers/yao-2022-zeroquant-efficient-affordable-post-training/)** *(2022 · 304 citations)* Serving very large Transformer language models takes a lot of memory and compute. Quantization-aware training needs the original data and a full training run, which is often impractical. ZeroQuant, from Microsoft's DeepSpeed team, is a post-training quantization pipeline for BERT and GPT-3-style models. It has three… 2. **[GRIN: GRadient-INformed MoE](https://md.research.elamur.ai/free/en/papers/liu-2024-grin-gradient-informed-moe/)** *(2024 · 7 citations)* Mixture-of-Experts (MoE) models activate only a few expert subnetworks per token. However, the discrete routing step has no true gradient, so standard training substitutes the gating gradient. Large-scale MoE training also usually relies on expert parallelism, which forces capacity limits and discards overflow… ## Co-authors here 12 of 16 co-authors with a page, the most papers together first. - [Chen Liang](https://md.research.elamur.ai/free/en/authors/chen-liang/) - [Conglong Li](https://md.research.elamur.ai/free/en/authors/conglong-li/) - [Hao Cheng](https://md.research.elamur.ai/free/en/authors/hao-cheng/) - [Liyuan Liu](https://md.research.elamur.ai/free/en/authors/liyuan-liu/) - [Masahiro Tanaka](https://md.research.elamur.ai/free/en/authors/masahiro-tanaka/) - [Minjia Zhang](https://md.research.elamur.ai/free/en/authors/minjia-zhang/) - [Reza Yazdani Aminabadi](https://md.research.elamur.ai/free/en/authors/reza-yazdani-aminabadi/) - [Shuohang Wang](https://md.research.elamur.ai/free/en/authors/shuohang-wang/) - [Vishrav Chaudhary](https://md.research.elamur.ai/free/en/authors/vishrav-chaudhary/) - [Wenxiang Hu](https://md.research.elamur.ai/free/en/authors/wenxiang-hu/) - [Xiaodong Liu](https://md.research.elamur.ai/free/en/authors/xiaodong-liu/) - [Yelong Shen](https://md.research.elamur.ai/free/en/authors/yelong-shen/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2022](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2022/) ## Cited by Papers of our library cite their works 207 times (of the 149,439 papers whose bibliographies we read); [38 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/xiaoxia-wu/cited-by/). Updated 1 November 2026