---
title: "Jiaming Xu — author profile and papers — Elamur Research"
description: "Jiaming Xu, Xiaomi: 3 papers on Elamur Research (2015–2026), h-index 20 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/jiaming-xu/"
---
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# Jiaming Xu

Jiaming Xu has 3 papers in our library, in 2015–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Information extraction](https://md.research.elamur.ai/free/en/topics/information-extraction/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Bo Xu](https://md.research.elamur.ai/free/en/authors/bo-xu/), [Fangyuan Wang](https://md.research.elamur.ai/free/en/authors/fangyuan-wang/), [Guohao Dai](https://md.research.elamur.ai/free/en/authors/guohao-dai/).

3 papers in our library · 2015–2026

[OpenAlex](https://openalex.org/A5101746187) · [ORCID](https://orcid.org/0000-0001-7635-1059) · [**h-index 20**](https://openalex.org/authors/A5101746187) · [106 works](https://openalex.org/works?filter=author.id:A5101746187) · [2,155 citations](https://openalex.org/works?filter=author.id:A5101746187&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/jiaming-xu/#papers) · [🔗 Cited 147 times in our library](https://md.research.elamur.ai/free/en/authors/jiaming-xu/cited-by/) · [⭐ Paper Stars ranking: #5162](https://md.research.elamur.ai/free/en/paper-stars/page/52/#star-5162)

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=Jiaming+Xu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jiaming+Xu) · [dblp](https://dblp.org/search?q=Jiaming+Xu) · [ACL Anthology](https://aclanthology.org/search/?q=Jiaming+Xu)

## Affiliations

[🏢**Xiaomi** Beijing · China 2023–2026 · 7 papers*current*](https://md.research.elamur.ai/free/en/companies/xiaomi/) · [🏛️**Chinese Academy of Sciences** Beijing · China 2013–2023 · 37 papers](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🔬**Institute of Automation** Beijing · China 2013–2023 · 37 papers](https://md.research.elamur.ai/free/en/labs/institute-of-automation/) · [🎓**University of Chinese Academy of Sciences** Beijing · China 2014–2023 · 15 papers](https://md.research.elamur.ai/free/en/universities/university-of-chinese-academy-of-sciences/) · [🎓**Huai'an University** Huai'an · China 2009–2022 · 5 papers](https://ror.org/0555ezg60) · [🎓**Northwestern Polytechnical University** Xi'an · China 2022–2025 · 4 papers](https://md.research.elamur.ai/free/en/universities/northwestern-polytechnical-university/) · [🎓**Nanjing University of Posts and Telecommunications** Nanjing · China 2022–2023 · 4 papers](https://md.research.elamur.ai/free/en/universities/nanjing-university-of-posts-and-telecommunications/) · [🎓**Duke University** Durham · United States 2022–2024 · 3 papers](https://md.research.elamur.ai/free/en/universities/duke-university/) · [🎓**Purdue University West Lafayette** West Lafayette · United States 2017–2022 · 3 papers](https://md.research.elamur.ai/free/en/universities/purdue-university-west-lafayette/) · [🎓**Huazhong University of Science and Technology** Wuhan · China 2022–2025 · 2 papers](https://md.research.elamur.ai/free/en/universities/huazhong-university-of-science-and-technology/)

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 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/)

🧭 Topics 3 Research subjects and languages the work is about.[Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Information extraction · 1 work](https://md.research.elamur.ai/free/en/topics/information-extraction/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/jiaming-xu/year/2026/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/jiaming-xu/year/2024/)

### 2010s

[**2015** 1 paper](https://md.research.elamur.ai/free/en/authors/jiaming-xu/year/2015/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Short Text Clustering via Convolutional Neural Networks](https://md.research.elamur.ai/free/en/papers/xu-2015-short-text-clustering-convolutional-neural/)** *(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](https://md.research.elamur.ai/free/en/papers/zhou-2024-survey-efficient-inference-large-language/)** *(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](https://md.research.elamur.ai/free/en/papers/liu-2026-prouie-macro-micro-progressive-learning/)** *(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.

- [Bo Xu](https://md.research.elamur.ai/free/en/authors/bo-xu/)
- [Fangyuan Wang](https://md.research.elamur.ai/free/en/authors/fangyuan-wang/)
- [Guohao Dai](https://md.research.elamur.ai/free/en/authors/guohao-dai/)
- [Hongwei Hao](https://md.research.elamur.ai/free/en/authors/hongwei-hao/)
- [Jun Zhao](https://md.research.elamur.ai/free/en/authors/jun-zhao/)
- [Peng Wang](https://md.research.elamur.ai/free/en/authors/peng-wang/)
- [Peng Zhou](https://md.research.elamur.ai/free/en/authors/peng-zhou/)
- [Shengen Yan](https://md.research.elamur.ai/free/en/authors/shengen-yan/)
- [Shiyao Li](https://md.research.elamur.ai/free/en/authors/shiyao-li/)
- [Xuefei Ning](https://md.research.elamur.ai/free/en/authors/xuefei-ning/)
- [Yaran Chen](https://md.research.elamur.ai/free/en/authors/yaran-chen/)
- [Yuchen Liu](https://md.research.elamur.ai/free/en/authors/yuchen-liu/)

## Venues

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

- [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/)
- [Workshop on Vector Space Modeling for Natural Language Processing](https://md.research.elamur.ai/free/en/venues/workshop-on-vector-space-modeling-for-natural-language-processing/): [Workshop on Vector Space Modeling for Natural Language Processing 2015](https://md.research.elamur.ai/free/en/venues/workshop-on-vector-space-modeling-for-natural-language-processing/2015/)

## 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 →](https://md.research.elamur.ai/free/en/authors/jiaming-xu/cited-by/).

Updated 2 November 2026
