---
title: "Jun Zhu — author profile and papers — Elamur Research"
description: "Jun Zhu, University of Science and Technology of China: 3 papers on Elamur Research (2023–2024), h-index 15 — affiliations, topics…"
canonical: "https://research.elamur.ai/free/en/authors/jun-zhu/"
---
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# Jun Zhu

Jun Zhu has 3 papers in our library, in 2023–2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Code & programming languages](https://md.research.elamur.ai/free/en/topics/code-and-programming/), [Semantic parsing & meaning representation](https://md.research.elamur.ai/free/en/topics/semantic-parsing/); often with [Chunyuan Li](https://md.research.elamur.ai/free/en/authors/chunyuan-li/), [Cuiping Li](https://md.research.elamur.ai/free/en/authors/cuiping-li/), [Feng Li](https://md.research.elamur.ai/free/en/authors/feng-li/).

3 papers in our library · 2023–2024

[OpenAlex](https://openalex.org/A5100370157) · [ORCID](https://orcid.org/0000-0002-7244-4511) · [**h-index 15**](https://openalex.org/authors/A5100370157) · [102 works](https://openalex.org/works?filter=author.id:A5100370157) · [2,047 citations](https://openalex.org/works?filter=author.id:A5100370157&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/jun-zhu/#papers) · [🔗 Cited 383 times in our library](https://md.research.elamur.ai/free/en/authors/jun-zhu/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #3312](https://md.research.elamur.ai/free/en/paper-stars/page/34/#star-3312)

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

## Affiliations

[🎓**Tsinghua University** Beijing · China 2011–2026 · 25 papers*current*](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🎓**University of Science and Technology of China** Hefei · China 1986–2026 · 10 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-science-and-technology-of-china/) · [🎓**Northeastern University** Shenyang · China 2006–2011 · 7 papers](https://md.research.elamur.ai/free/en/universities/northeastern-university-cn/) · [🔬**Peng Cheng Laboratory** Shenzhen · China 2022 · 3 papers](https://md.research.elamur.ai/free/en/labs/peng-cheng-laboratory/) · [🎓**Sichuan University** Chengdu · China 2022 · 3 papers](https://md.research.elamur.ai/free/en/universities/sichuan-university/) · [🎓**Beijing Institute of Technology** Beijing · China 2024 · 2 papers](https://md.research.elamur.ai/free/en/universities/beijing-institute-of-technology/) · [🏥**The Second Affiliated Hospital of Bengbu Medical College** Bengbu · China 2022–2024 · 2 papers](https://ror.org/0441pfj90) · [🔬**Zhejiang Lab** Hangzhou · China 2023–2024 · 2 papers](https://md.research.elamur.ai/free/en/labs/zhejiang-lab/) · [🏥**West China Second University Hospital of Sichuan University** Chengdu · China 2022 · 2 papers](https://ror.org/00726et14) · [🔬**State Key Laboratory of Intelligent Technology and Systems** Beijing · China 2014–2017 · 2 papers](https://md.research.elamur.ai/free/en/labs/state-key-laboratory-of-intelligent-technology-and-systems/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 20 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 9 The field of science this work belongs to (OpenAlex fields).[Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Control and Systems Engineering · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/control-and-systems-engineering/) · [Engineering · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Networks and Communications · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-networks-and-communications/) · [Hardware and Architecture · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/hardware-and-architecture/)

🧭 Topics 3 Research subjects and languages the work is about.[Code & programming languages · 1 work](https://md.research.elamur.ai/free/en/topics/code-and-programming/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Semantic parsing & meaning representation · 1 work](https://md.research.elamur.ai/free/en/topics/semantic-parsing/)

## Works by year

### 2020s

[**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/jun-zhu/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/jun-zhu/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection](https://md.research.elamur.ai/free/en/papers/liu-2023-grounding-dino-marrying-dino-grounded/)** *(2023 · 472 citations)* The paper targets open-set object detection: finding objects in an image from free-form text such as category names or referring expressions, not only from a fixed label list.
2. **[CodeS: Towards Building Open-source Language Models for Text-to-SQL](https://md.research.elamur.ai/free/en/papers/li-2024-codes-towards-building-open-source/)** *(2024 · 190 citations)* Most leading text-to-SQL systems rely on closed LLMs such as GPT-4 and ChatGPT. That brings opaque architectures, privacy concerns from sending data to API providers, and high inference costs. The authors address this with CodeS, a family of fully open-source models with 1B to 15B parameters. CodeS was made by…
3. **[SageAttention: Accurate 8-Bit Attention for Plug-and-play Inference Acceleration](https://md.research.elamur.ai/free/en/papers/zhang-2024-sageattention-accurate-8-bit-attention/)** *(2024 · 74 citations)* At long sequence lengths, attention's quadratic cost makes it the dominant source of latency in transformers.

## All works

4 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

1. [**Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection arXiv:2303.05499**Shilong Liu, Zhaoyang Zeng, Tianhe Ren, et al.*2023 · 472 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-grounding-dino-marrying-dino-grounded/)
2. [**CodeS: Towards Building Open-source Language Models for Text-to-SQL arXiv:2402.16347**Haoyang Li, Jing Zhang, Hanbing Liu, et al.*2024 · 190 citations*](https://md.research.elamur.ai/free/en/papers/li-2024-codes-towards-building-open-source/)
3. **[SageAttention: Accurate 8-Bit Attention for Plug-and-play Inference Acceleration](https://md.research.elamur.ai/free/en/papers/zhang-2024-sageattention-accurate-8-bit-attention/) [International Conference on Learning Representations (ICLR)](https://md.research.elamur.ai/free/en/venues/international-conference-on-learning-representations-iclr/)**Jintao Zhang, Jia Wei, Haofeng Huang, et al.*2024 · 74 citations*
4. **[DiffusionNFT: Online Diffusion Reinforcement with Forward Process ↗](https://arxiv.org/abs/2509.16117) arXiv (Cornell University) · no summary yet**Kaiwen Zheng et al.*2025 · 26 citations*

## Co-authors here

12 of 15 co-authors with a page, the most papers together first.

- [Chunyuan Li](https://md.research.elamur.ai/free/en/authors/chunyuan-li/)
- [Cuiping Li](https://md.research.elamur.ai/free/en/authors/cuiping-li/)
- [Feng Li](https://md.research.elamur.ai/free/en/authors/feng-li/)
- [Hanbing Liu](https://md.research.elamur.ai/free/en/authors/hanbing-liu/)
- [Hang Su](https://md.research.elamur.ai/free/en/authors/hang-su/)
- [Hao Zhang](https://md.research.elamur.ai/free/en/authors/hao-zhang/)
- [Haofeng Huang](https://md.research.elamur.ai/free/en/authors/haofeng-huang/)
- [Haoyang Li](https://md.research.elamur.ai/free/en/authors/haoyang-li/)
- [Hong Chen](https://md.research.elamur.ai/free/en/authors/hong-chen/)
- [Jianwei Yang](https://md.research.elamur.ai/free/en/authors/jianwei-yang/)
- [Jie Yang](https://md.research.elamur.ai/free/en/authors/jie-yang/)
- [Jing Zhang](https://md.research.elamur.ai/free/en/authors/jing-zhang/)

## Venues

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

- [International Conference on Learning Representations (ICLR)](https://md.research.elamur.ai/free/en/venues/international-conference-on-learning-representations-iclr/): [ICLR 2024](https://md.research.elamur.ai/free/en/venues/international-conference-on-learning-representations-iclr/2024/)

## Cited by

Papers of our library cite their works 383 times (of the 149,439 papers whose bibliographies we read); [57 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jun-zhu/cited-by/).

Updated 2 November 2026
