---
title: "Shang Yang — author profile and papers — Elamur Research"
description: "Shang Yang, National University of Defense Technology: 2 papers on Elamur Research (2024), h-index 35 — affiliations, topics, co-authors…"
canonical: "https://research.elamur.ai/free/en/authors/shang-yang/"
---
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# Shang Yang

Shang Yang has 2 papers in our library, in 2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/), [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/); often with [Guangxuan Xiao](https://md.research.elamur.ai/free/en/authors/guangxuan-xiao/), [Haotian Tang](https://md.research.elamur.ai/free/en/authors/haotian-tang/), [Song Han](https://md.research.elamur.ai/free/en/authors/song-han/).

2 papers in our library · 2024

[OpenAlex](https://openalex.org/A5101467057) · [ORCID](https://orcid.org/0000-0002-5836-5016) · [Wikidata](https://www.wikidata.org/wiki/Q131166555) · [**h-index 35**](https://openalex.org/authors/A5101467057) · [250 works](https://openalex.org/works?filter=author.id:A5101467057) · [4,548 citations](https://openalex.org/works?filter=author.id:A5101467057&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/shang-yang/#papers) · [🔗 Cited 235 times in our library](https://md.research.elamur.ai/free/en/authors/shang-yang/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6119](https://md.research.elamur.ai/free/en/paper-stars/page/62/#star-6119)

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

## Affiliations

[🎓**National University of Defense Technology** Changsha · China 2004–2026 · 97 papers*current*](https://md.research.elamur.ai/free/en/universities/national-university-of-defense-technology/) · [🎓**Nanyang Technological University** Singapore · Singapore 2012–2018 · 28 papers](https://md.research.elamur.ai/free/en/universities/nanyang-technological-university/) · [🎓**Singapore University of Technology and Design** Singapore · Singapore 2019–2022 · 25 papers](https://md.research.elamur.ai/free/en/universities/singapore-university-of-technology-and-design/) · [🎓**Beijing University of Technology** Beijing · China 2022–2025 · 12 papers](https://md.research.elamur.ai/free/en/universities/beijing-university-of-technology/) · [🏢**Advantest** Singapore · Singapore 2015–2024 · 12 papers](https://ror.org/04dyk5z88) · [🎓**Beihang University** Beijing · China 2011–2021 · 11 papers](https://md.research.elamur.ai/free/en/universities/beihang-university/) · [🏢**Guizhou Power Grid Co., Ltd.** Guiyang · China 2025 · 3 papers](https://ror.org/04n5vvh78) · [🏛️**Chinese Academy of Sciences** Beijing · China 2021–2023 · 2 papers](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🔬**Institute of Microelectronics** Beijing · China 2021–2023 · 2 papers](https://md.research.elamur.ai/free/en/labs/institute-of-microelectronics/) · [🎓**Shandong University** Jinan · China 2022–2023 · 2 papers](https://md.research.elamur.ai/free/en/universities/shandong-university/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 15 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 8 The field of science this work belongs to (OpenAlex fields).[Computer Science · 2 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/) · [Engineering · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Electrical and Electronic Engineering · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/electrical-and-electronic-engineering/) · [Hardware and Architecture · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/hardware-and-architecture/) · [Artificial Intelligence · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

🧭 Topics 3 Research subjects and languages the work is about.[Efficient models & compression · 2 works](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/)

## Works by year

### 2020s

[**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/shang-yang/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving](https://md.research.elamur.ai/free/en/papers/lin-2024-qserve-w4a8kv4-quantization-system-co/)** *(2024 · 120 citations)* Low-bit integer quantization promises faster LLM inference, but INT4 approaches have mostly helped small-batch edge scenarios.
2. **[DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads](https://md.research.elamur.ai/free/en/papers/xiao-2024-duoattention-efficient-long-context-llm/)** *(2024 · 114 citations)* Serving LLMs over very long inputs is costly because the KV cache grows linearly with context length, and attention compute grows with it.

## All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. [**QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving MLSys 2025**Yujun Lin, Haotian Tang, Shang Yang, et al.*2024 · 120 citations*](https://md.research.elamur.ai/free/en/papers/lin-2024-qserve-w4a8kv4-quantization-system-co/)
2. [**DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads arXiv:2410.10819**Guangxuan Xiao, Jiaming Tang, Jingwei Zuo, et al.*2024 · 114 citations*](https://md.research.elamur.ai/free/en/papers/xiao-2024-duoattention-efficient-long-context-llm/)
3. **[FlatFormer: Flattened Window Attention for Efficient Point Cloud Transformer ↗](https://arxiv.org/abs/2301.08739) arXiv:2301.08739 · no summary yet**Zhijian Liu et al.*2023 · 11 citations*

## Co-authors here

9 co-authors with a page, the most papers together first.

- [Guangxuan Xiao](https://md.research.elamur.ai/free/en/authors/guangxuan-xiao/) ×2
- [Haotian Tang](https://md.research.elamur.ai/free/en/authors/haotian-tang/) ×2
- [Song Han](https://md.research.elamur.ai/free/en/authors/song-han/) ×2
- [Chuang Gan](https://md.research.elamur.ai/free/en/authors/chuang-gan/)
- [Jiaming Tang](https://md.research.elamur.ai/free/en/authors/jiaming-tang/)
- [Jingwei Zuo](https://md.research.elamur.ai/free/en/authors/jingwei-zuo/)
- [Junxian Guo](https://md.research.elamur.ai/free/en/authors/junxian-guo/)
- [Yao Fu](https://md.research.elamur.ai/free/en/authors/yao-fu/)
- [Zhekai Zhang](https://md.research.elamur.ai/free/en/authors/zhekai-zhang/)

## Venues

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

- MLSys 2025

## Cited by

Papers of our library cite their works 235 times (of the 149,439 papers whose bibliographies we read); [26 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/shang-yang/cited-by/).

Updated 2 November 2026
