---
title: "Zhen Zheng — author profile and papers — Elamur Research"
description: "Zhen Zheng, Shandong University of Technology: 2 papers on Elamur Research (2020–2026), h-index 13 — affiliations, topics, co-authors…"
canonical: "https://research.elamur.ai/free/en/authors/zhen-zheng/"
---
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# Zhen Zheng

Zhen Zheng has 2 papers in our library, in 2020–2026; often with [Chuan Wu](https://md.research.elamur.ai/free/en/authors/chuan-wu/), [Jun Yang](https://md.research.elamur.ai/free/en/authors/jun-yang/), [Siyu Wang](https://md.research.elamur.ai/free/en/authors/siyu-wang/).

2 papers in our library · 2020–2026

[OpenAlex](https://openalex.org/A5103042903) · [ORCID](https://orcid.org/0009-0006-2692-713X) · [**h-index 13**](https://openalex.org/authors/A5103042903) · [38 works](https://openalex.org/works?filter=author.id:A5103042903) · [696 citations](https://openalex.org/works?filter=author.id:A5103042903&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/zhen-zheng/#papers) · [🔗 Cited 81 times in our library](https://md.research.elamur.ai/free/en/authors/zhen-zheng/cited-by/) · [⭐ Paper Stars ranking: #7797](https://md.research.elamur.ai/free/en/paper-stars/page/78/#star-7797)

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

## Affiliations

[🎓**Shandong University of Technology** Zibo · China 2026 · 2 papers*current*](https://ror.org/02mr3ar13) · [🎓**Shanghai Jiao Tong University** Shanghai · China 2025–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/shanghai-jiao-tong-university/) · [🏢**Alibaba Group** Hangzhou · China 2020–2023 · 17 papers](https://md.research.elamur.ai/free/en/companies/alibaba-group/) · [🎓**University of Science and Technology Beijing** Beijing · China 2012–2022 · 8 papers](https://md.research.elamur.ai/free/en/universities/university-of-science-and-technology-beijing/) · [🎓**Tsinghua University** Beijing · China 2017–2019 · 3 papers](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🏢**Microsoft** Redmond · United States 2024–2025 · 2 papers](https://md.research.elamur.ai/free/en/companies/microsoft/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 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).[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/) · [Hardware and Architecture · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/hardware-and-architecture/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/zhen-zheng/year/2026/) · [**2020** 1 paper](https://md.research.elamur.ai/free/en/authors/zhen-zheng/year/2020/)

## Papers

The most cited first (OpenAlex and our library).

1. **[DAPPLE: A Pipelined Data Parallel Approach for Training Large Models](https://md.research.elamur.ai/free/en/papers/fan-2020-dapple-pipelined-data-parallel-approach/)** *(2020 · 107 citations)* DAPPLE tackles the problem of training very large DNNs on GPU clusters whose interconnects vary, such as NVLink inside servers and slower Ethernet between them.
2. **[RoBSA: RoPE-based Blockwise Sparse Multi-head Latent Attention](https://md.research.elamur.ai/free/en/papers/shi-2026-robsa-rope-based-blockwise-sparse/)** *(2026)* During long-context decoding, attention becomes the main cost in LLM inference. For DeepSeek-R1 at a 128k-token context, it takes more than 90% of decoding time. Most sparse-attention techniques are built for standard MHA or GQA. They do not fit Multi-head Latent Attention (MLA), used by DeepSeek-V3, DeepSeek-R1 and…

## Co-authors here

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

- [Chuan Wu](https://md.research.elamur.ai/free/en/authors/chuan-wu/)
- [Jun Yang](https://md.research.elamur.ai/free/en/authors/jun-yang/)
- [Siyu Wang](https://md.research.elamur.ai/free/en/authors/siyu-wang/)

## 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 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/)

## Cited by

Papers of our library cite their works 81 times (of the 149,439 papers whose bibliographies we read); [3 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/zhen-zheng/cited-by/).

Updated 2 November 2026
