---
title: "Chengquan Jiang — author profile and papers in our library"
description: "Chengquan Jiang: 2 papers on Elamur Research (2024–2025), h-index 3 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/chengquan-jiang/"
---
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# Chengquan Jiang

Chengquan Jiang has 2 papers in our library, in 2024–2025, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [GPU & parallel computing](https://md.research.elamur.ai/free/en/topics/gpu-parallel-computing/); often with [Ge Zhang](https://md.research.elamur.ai/free/en/authors/ge-zhang/), [Haibin Lin](https://md.research.elamur.ai/free/en/authors/haibin-lin/), [Jiazhan Feng](https://md.research.elamur.ai/free/en/authors/jiazhan-feng/).

2 papers in our library · 2024–2025

[OpenAlex](https://openalex.org/A5021566476) · [ORCID](https://orcid.org/0009-0004-9356-6034) · [**h-index 3**](https://openalex.org/authors/A5021566476) · [12 works](https://openalex.org/works?filter=author.id:A5021566476) · [80 citations](https://openalex.org/works?filter=author.id:A5021566476&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/chengquan-jiang/#papers) · [🔗 Cited 234 times in our library](https://md.research.elamur.ai/free/en/authors/chengquan-jiang/cited-by/) · [⭐ Paper Stars ranking: #7021](https://md.research.elamur.ai/free/en/paper-stars/page/71/#star-7021)

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

## Affiliations

[🏢**ByteDance** Beijing · China 2020–2024 · 2 papersEmployment since 2020](https://md.research.elamur.ai/free/en/companies/bytedance/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution 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 · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [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/) · [Computer Networks and Communications · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-networks-and-communications/) · [Hardware and Architecture · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/hardware-and-architecture/)

🧭 Topics 3 Research subjects and languages the work is about.[GPU & parallel computing · 1 work](https://md.research.elamur.ai/free/en/topics/gpu-parallel-computing/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/)

## Works by year

### 2020s

[**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/chengquan-jiang/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/chengquan-jiang/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[ReTool: Reinforcement Learning for Strategic Tool Use in LLMs](https://md.research.elamur.ai/free/en/papers/feng-2025-retool-reinforcement-learning-strategic-tool/)** *(2025 · 88 citations)* RL-trained reasoning LLMs handle verbal reasoning well but often make mistakes on exact arithmetic, equation solving and symbolic manipulation. A code interpreter can do these steps reliably. ReTool, from ByteDance Seed, trains a model to decide on its own when and how to call such an interpreter while it reasons.
2. **[FLUX: Fast Software-based Communication Overlap On GPUs Through Kernel Fusion](https://md.research.elamur.ai/free/en/papers/chang-2024-flux-fast-software-based-communication/)** *(2024 · 67 citations)* Tensor parallelism splits individual layers of large models across GPUs. This lowers latency, but it adds AllGather and ReduceScatter traffic that can take a large share of runtime. Earlier overlap schemes, such as TransformerEngine, cut a GEMM and its collective into a few chunks, one per device, and schedule them…

## Co-authors here

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

- [Ge Zhang](https://md.research.elamur.ai/free/en/authors/ge-zhang/)
- [Haibin Lin](https://md.research.elamur.ai/free/en/authors/haibin-lin/)
- [Jiazhan Feng](https://md.research.elamur.ai/free/en/authors/jiazhan-feng/)
- [Shijue Huang](https://md.research.elamur.ai/free/en/authors/shijue-huang/)
- [Wanjun Zhong](https://md.research.elamur.ai/free/en/authors/wanjun-zhong/)
- [Xin Jin](https://md.research.elamur.ai/free/en/authors/xin-jin/)
- [Xingwei Qu](https://md.research.elamur.ai/free/en/authors/xingwei-qu/)
- [Yinmin Zhong](https://md.research.elamur.ai/free/en/authors/yinmin-zhong/)
- [Yujia Qin](https://md.research.elamur.ai/free/en/authors/yujia-qin/)
- [Ziheng Jiang](https://md.research.elamur.ai/free/en/authors/ziheng-jiang/)

## Cited by

Papers of our library cite their works 234 times (of the 149,439 papers whose bibliographies we read); [71 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/chengquan-jiang/cited-by/).

Updated 2 November 2026
