---
title: "Pengle Zhang — author profile and papers — Elamur Research"
description: "Pengle Zhang, Shanghai Jiao Tong University: 2 papers on Elamur Research (2024), h-index 7 — affiliations, topics, co-authors and who…"
canonical: "https://research.elamur.ai/free/en/authors/pengle-zhang/"
---
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# Pengle Zhang

Pengle Zhang 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/); often with [Chaojun Xiao](https://md.research.elamur.ai/free/en/authors/chaojun-xiao/), [Guangxuan Xiao](https://md.research.elamur.ai/free/en/authors/guangxuan-xiao/), [Haofeng Huang](https://md.research.elamur.ai/free/en/authors/haofeng-huang/).

2 papers in our library · 2024

[OpenAlex](https://openalex.org/A5062797906) · [**h-index 7**](https://openalex.org/authors/A5062797906) · [29 works](https://openalex.org/works?filter=author.id:A5062797906) · [188 citations](https://openalex.org/works?filter=author.id:A5062797906&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/pengle-zhang/#papers) · [🔗 Cited 185 times in our library](https://md.research.elamur.ai/free/en/authors/pengle-zhang/cited-by/) · [⭐ Paper Stars ranking: #6469](https://md.research.elamur.ai/free/en/paper-stars/page/65/#star-6469)

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

## Affiliations

[🎓**Shanghai Jiao Tong University** Shanghai · China 2025–2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/shanghai-jiao-tong-university/) · [🎓**Wuhan Textile University** Wuhan · China 2024–2026 · 3 papers*current*](https://ror.org/02jgsf398) · [🎓**National University of Defense Technology** Changsha · China 2014–2016 · 6 papers](https://md.research.elamur.ai/free/en/universities/national-university-of-defense-technology/) · [🎓**Tsinghua University** Beijing · China 2023–2025 · 3 papers](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🎓**Taiyuan University of Technology** Taiyuan · China 2016–2021 · 3 papers](https://ror.org/03kv08d37) · [🔬**PLA Academy of Military Science** Beijing · China 2017–2018 · 2 papers](https://md.research.elamur.ai/free/en/labs/pla-academy-of-military-science/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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 6 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 2 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 1 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/)

## Works by year

### 2020s

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

## Papers

The most cited first (OpenAlex and our library).

1. **[InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context Memory](https://md.research.elamur.ai/free/en/papers/xiao-2024-infllm-training-free-long-context/)** *(2024 · 126 citations)* LLMs pre-trained on windows of only a few thousand tokens break down on much longer inputs. Unseen positions push them out of distribution, and large amounts of irrelevant context distract attention. The usual fix, continued pre-training on long sequences, is expensive and can hurt short-context skills. InfLLM avoids…
2. **[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.

## Co-authors here

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

- [Chaojun Xiao](https://md.research.elamur.ai/free/en/authors/chaojun-xiao/)
- [Guangxuan Xiao](https://md.research.elamur.ai/free/en/authors/guangxuan-xiao/)
- [Haofeng Huang](https://md.research.elamur.ai/free/en/authors/haofeng-huang/)
- [Jun Zhu](https://md.research.elamur.ai/free/en/authors/jun-zhu/)
- [Maosong Sun](https://md.research.elamur.ai/free/en/authors/maosong-sun/)
- [Xu Han](https://md.research.elamur.ai/free/en/authors/xu-han/)
- [Yankai Lin](https://md.research.elamur.ai/free/en/authors/yankai-lin/)
- [Zhengyan Zhang](https://md.research.elamur.ai/free/en/authors/zhengyan-zhang/)
- [Zhiyuan Liu](https://md.research.elamur.ai/free/en/authors/zhiyuan-liu/)

## 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/)
- [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2024](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/)

## Cited by

Papers of our library cite their works 185 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/pengle-zhang/cited-by/).

Updated 2 November 2026
