---
title: "Yang You — author profile and papers — Elamur Research"
description: "Yang You, National University of Singapore: 3 papers on Elamur Research (2023–2024), h-index 31 — affiliations, topics, co-authors and…"
canonical: "https://research.elamur.ai/free/en/authors/yang-you/"
---
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# Yang You

Yang You 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/), [Summarization](https://md.research.elamur.ai/free/en/topics/summarization/); often with [Fuzhao Xue](https://md.research.elamur.ai/free/en/authors/fuzhao-xue/), [Chenhui Shen](https://md.research.elamur.ai/free/en/authors/chenhui-shen/), [Lidong Bing](https://md.research.elamur.ai/free/en/authors/lidong-bing/).

3 papers in our library · 2023–2024

[OpenAlex](https://openalex.org/A5100658705) · [ORCID](https://orcid.org/0000-0003-2816-4384) · [Wikidata](https://www.wikidata.org/wiki/Q131013622) · [**h-index 31**](https://openalex.org/authors/A5100658705) · [130 works](https://openalex.org/works?filter=author.id:A5100658705) · [3,567 citations](https://openalex.org/works?filter=author.id:A5100658705&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/yang-you/#papers) · [🔗 Cited 277 times in our library](https://md.research.elamur.ai/free/en/authors/yang-you/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #4147](https://md.research.elamur.ai/free/en/paper-stars/page/42/#star-4147)

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

## Affiliations

[🎓**National University of Singapore** Singapore · Singapore 2020–2026 · 86 papers*current*](https://md.research.elamur.ai/free/en/universities/national-university-of-singapore/) · [🎓**University of California, Berkeley** Berkeley · United States 2015–2020 · 15 papers](https://md.research.elamur.ai/free/en/universities/university-of-california-berkeley/) · [🎓**Tsinghua University** Beijing · China 2013–2015 · 7 papers](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. 6 more institutions on single bylines are not listed.

## Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 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/) · [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/) · [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 · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Summarization · 1 work](https://md.research.elamur.ai/free/en/topics/summarization/)

## Works by year

### 2020s

[**2024** 1 paper OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models](https://md.research.elamur.ai/free/en/papers/xue-2024-openmoe-early-effort-open-mixture/) · [**2023** 2 papers Yang You's papers of 2023](https://md.research.elamur.ai/free/en/authors/yang-you/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Sequence Parallelism: Long Sequence Training from System Perspective](https://md.research.elamur.ai/free/en/papers/li-2023-sequence-parallelism-long-sequence-training/)** *(2023 · 128 citations)* Self-attention memory grows quadratically with input length. Standard training setups also need each GPU to hold the entire sequence, which caps the usable context. Most prior work attacks this algorithmically with cheaper attention variants. This paper takes a systems approach instead. It introduces sequence…
2. **[Large Language Models are Not Yet Human-Level Evaluators for Abstractive Summarization](https://md.research.elamur.ai/free/en/papers/shen-2023-large-language-models-are-not/)** *(2023 · 119 citations)* This paper asks whether LLMs such as ChatGPT and GPT-4 can take over from human annotators when judging abstractive summaries.
3. **[OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models](https://md.research.elamur.ai/free/en/papers/xue-2024-openmoe-early-effort-open-mixture/)** *(2024 · 61 citations)* Before this work, few open Mixture-of-Experts (MoE) language models had been trained on trillion-scale, diverse data, and little was known about how their routers actually behave.

## 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. **[Sequence Parallelism: Long Sequence Training from System Perspective](https://md.research.elamur.ai/free/en/papers/li-2023-sequence-parallelism-long-sequence-training/)**Shenggui Li, Fuzhao Xue, Chaitanya Baranwal, et al.*[Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) · 128 citations*
2. **[Large Language Models are Not Yet Human-Level Evaluators for Abstractive Summarization](https://md.research.elamur.ai/free/en/papers/shen-2023-large-language-models-are-not/)**Chenhui Shen, Liying Cheng, Xuan-Phi Nguyen, et al.*[Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) · 119 citations*
3. **[ImageNet Training in Minutes](https://arxiv.org/abs/1709.05011) · original ↗ · no summary yet · arXiv:1709.05011**Yang You et al.*2017 · 110 citations*
4. [**OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models**Fuzhao Xue, Zian Zheng, Yao Fu, et al.*arXiv:2402.01739 · 61 citations*](https://md.research.elamur.ai/free/en/papers/xue-2024-openmoe-early-effort-open-mixture/)

## Co-authors here

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

- [Fuzhao Xue](https://md.research.elamur.ai/free/en/authors/fuzhao-xue/) ×2
- [Chenhui Shen](https://md.research.elamur.ai/free/en/authors/chenhui-shen/)
- [Lidong Bing](https://md.research.elamur.ai/free/en/authors/lidong-bing/)
- [Liying Cheng](https://md.research.elamur.ai/free/en/authors/liying-cheng/)
- [Wangchunshu Zhou](https://md.research.elamur.ai/free/en/authors/wangchunshu-zhou/)
- [Xuan-Phi Nguyen](https://md.research.elamur.ai/free/en/authors/xuan-phi-nguyen/)
- [Yao Fu](https://md.research.elamur.ai/free/en/authors/yao-fu/)
- [Yongbin Li](https://md.research.elamur.ai/free/en/authors/yongbin-li/)

## Venues

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

- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2023](https://md.research.elamur.ai/free/en/venues/acl/2023/)
- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2023](https://md.research.elamur.ai/free/en/venues/findings/2023/)

## Cited by

Papers of our library cite their works 277 times (of the 141,840 papers whose bibliographies we read); [15 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yang-you/cited-by/).

Updated 24 October 2026
