---
title: "Zhihang Yuan · Tsinghua University — author profile and papers"
description: "Zhihang Yuan, Tsinghua University: 3 papers on Elamur Research (2024–2026), h-index 2 — affiliations, topics, co-authors and who cites…"
canonical: "https://research.elamur.ai/free/en/authors/zhihang-yuan/"
---
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# Zhihang Yuan

Zhihang Yuan has 3 papers in our library, in 2024–2026, 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/); often with [Guohao Dai](https://md.research.elamur.ai/free/en/authors/guohao-dai/), [Bingzhe Wu](https://md.research.elamur.ai/free/en/authors/bingzhe-wu/), [Jiaming Xu](https://md.research.elamur.ai/free/en/authors/jiaming-xu/).

3 papers in our library · 2024–2026

[OpenAlex](https://openalex.org/A5084059508) · [ORCID](https://orcid.org/0000-0001-9980-7717) · [**h-index 2**](https://openalex.org/authors/A5084059508) · [6 works](https://openalex.org/works?filter=author.id:A5084059508) · [16 citations](https://openalex.org/works?filter=author.id:A5084059508&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/zhihang-yuan/#papers) · [🔗 Cited 167 times in our library](https://md.research.elamur.ai/free/en/authors/zhihang-yuan/cited-by/) · [⭐ Paper Stars ranking: #6416](https://md.research.elamur.ai/free/en/paper-stars/page/65/#star-6416)

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

## Affiliations

[🎓**Tsinghua University** Beijing · China 2025–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/tsinghua-university/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

## Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 6 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/) · [Computer Vision and Pattern Recognition · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Hardware and Architecture · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/hardware-and-architecture/)

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

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/zhihang-yuan/year/2026/) · [**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/zhihang-yuan/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[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…
2. **[LLM Inference Unveiled: Survey and Roofline Model Insights](https://md.research.elamur.ai/free/en/papers/yuan-2024-llm-inference-unveiled-survey-roofline/)** *(2024 · 91 citations)* This survey targets a practical gap in research on efficient LLM inference. Many acceleration techniques exist, but there has been no unified way to reason about why they help on real hardware. The authors build their review around the Roofline model. It relates a workload's demands to a device's compute capacity and…
3. **[VocabTailor: Dynamic Vocabulary Selection for Downstream Tasks in Small Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2026-vocabtailor-dynamic-vocabulary-selection-downstream/)** *(2026 · 1 citation)* Small language models built for edge hardware still spend much of their memory on vocabulary-related parts, namely the embedding matrix and the LM head.

## Co-authors here

12 of 13 co-authors with a page, the most papers together first.

- [Guohao Dai](https://md.research.elamur.ai/free/en/authors/guohao-dai/) ×2
- [Bingzhe Wu](https://md.research.elamur.ai/free/en/authors/bingzhe-wu/)
- [Jiaming Xu](https://md.research.elamur.ai/free/en/authors/jiaming-xu/)
- [Shengen Yan](https://md.research.elamur.ai/free/en/authors/shengen-yan/)
- [Shiyao Li](https://md.research.elamur.ai/free/en/authors/shiyao-li/)
- [Wanli Ouyang](https://md.research.elamur.ai/free/en/authors/wanli-ouyang/)
- [Xuefei Ning](https://md.research.elamur.ai/free/en/authors/xuefei-ning/)
- [Yang Zhou](https://md.research.elamur.ai/free/en/authors/yang-zhou/)
- [Yong Jae Lee](https://md.research.elamur.ai/free/en/authors/yong-jae-lee/)
- [Yu Wang](https://md.research.elamur.ai/free/en/authors/yu-wang/)
- [Yuzhang Shang](https://md.research.elamur.ai/free/en/authors/yuzhang-shang/)
- [Zhen Dong](https://md.research.elamur.ai/free/en/authors/zhen-dong/)

## 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/)

## Cited by

Papers of our library cite their works 167 times (of the 149,439 papers whose bibliographies we read); [27 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/zhihang-yuan/cited-by/).

Updated 2 November 2026
