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Xiaoxia Wu

Xiaoxia Wu has 2 papers in our library, in 2022–2024, most of them on Efficient models & compression; often with Chen Liang, Conglong Li, Hao Cheng.

2 papers in our library · 2022–2024

OpenAlex · ORCID · h-index 34 · 195 works · 3,709 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 207 times in our library · ⭐ Paper Stars ranking: #4884

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🏥Shenzhen Maternity and Child Healthcare HospitalShenzhen · China2012–2026 · 11 paperscurrent🎓Southern Medical UniversityGuangzhou · China2019–2026 · 8 paperscurrent🏥Shanxi Provincial Children's HospitalTaiyuan · China2016–2026 · 7 paperscurrent🎓Nanjing Agricultural UniversityNanjing · China2019–2026 · 2 paperscurrent🎓Zhejiang Chinese Medical UniversityHangzhou · China2025–2026 · 2 paperscurrent🏥Tongde Hospital of Zhejiang ProvinceHangzhou · China2026 · 1 papercurrent🎓Northeast Agricultural UniversityHarbin · China2010–2025 · 66 papers🎓University of Chinese Academy of SciencesBeijing · China2016–2024 · 16 papers🎓Yangzhou UniversityYangzhou · China2004–2023 · 16 papers🏛️Chinese Academy of SciencesBeijing · China2010–2025 · 15 papers

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 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 1Research subjects and languages the work is about.Efficient models & compression · 1 work

 Works by year

2020s

20241 paper20221 paper

 Papers

The most cited first (OpenAlex and our library).

  1. ZeroQuant: Efficient and Affordable Post-Training Quantization for Large-Scale Transformers (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 (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.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 207 times (of the 149,439 papers whose bibliographies we read); 23 citing papers with a page here →.

Updated

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