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Jiaming Xu

Jiaming Xu has 3 papers in our library, in 2015–2026, most of them on Language models & pretraining, Information extraction, Efficient models & compression; often with Bo Xu, Fangyuan Wang, Guohao Dai.

3 papers in our library · 2015–2026

OpenAlex · ORCID · h-index 20 · 106 works · 2,155 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 147 times in our library · ⭐ Paper Stars ranking: #5162

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

🏢XiaomiBeijing · China2023–2026 · 7 paperscurrent🏛️Chinese Academy of SciencesBeijing · China2013–2023 · 37 papers🔬Institute of AutomationBeijing · China2013–2023 · 37 papers🎓University of Chinese Academy of SciencesBeijing · China2014–2023 · 15 papers🎓Huai'an UniversityHuai'an · China2009–2022 · 5 papers🎓Northwestern Polytechnical UniversityXi'an · China2022–2025 · 4 papers🎓Nanjing University of Posts and TelecommunicationsNanjing · China2022–2023 · 4 papers🎓Duke UniversityDurham · United States2022–2024 · 3 papers🎓Purdue University West LafayetteWest Lafayette · United States2017–2022 · 3 papers🎓Huazhong University of Science and TechnologyWuhan · China2022–2025 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 16 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 · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksComputer Vision and Pattern Recognition · 2 works

🧭 Topics 3Research subjects and languages the work is about.Efficient models & compression · 1 workLanguage models & pretraining · 1 workInformation extraction · 1 work

 Works by year

2020s

20261 paper20241 paper

2010s

20151 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Short Text Clustering via Convolutional Neural Networks (2015 · 239 citations)
    Clustering short texts such as search snippets or question titles is difficult because their bag-of-words vectors are extremely sparse.
  2. A Survey on Efficient Inference for Large Language Models (2024 · 113 citations)
    Running large language models is expensive. They need a lot of computation, memory traffic and storage, which raises latency, lowers throughput and makes deployment difficult on edge devices and costly in the cloud. This survey, by authors from Tsinghua University, Shanghai Jiaotong University and Infinigence-AI…
  3. ProUIE: A Macro-to-Micro Progressive Learning Method for LLM-based Universal Information Extraction (2026)
    Many LLM-based universal information extraction (UIE) systems add extra signals on top of the standard annotations, such as schema hints, external knowledge, guidelines, or verification pipelines.

 Co-authors here

12 of 14 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 147 times (of the 149,439 papers whose bibliographies we read); 18 citing papers with a page here →.

Updated

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