---
title: "Decheng Wu — author profile and papers — Elamur Research"
description: "Decheng Wu, Chongqing University of Posts and Telecommunications: 2 papers on Elamur Research (2025–2026), h-index 10 — affiliations…"
canonical: "https://research.elamur.ai/free/en/authors/decheng-wu/"
---
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# Decheng Wu

Decheng Wu has 2 papers in our library, in 2025–2026, 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/); often with [Ao Liu](https://md.research.elamur.ai/free/en/authors/ao-liu/), [Botong Zhou](https://md.research.elamur.ai/free/en/authors/botong-zhou/), [Can Xu](https://md.research.elamur.ai/free/en/authors/can-xu/).

2 papers in our library · 2025–2026

[OpenAlex](https://openalex.org/A5110593952) · [ORCID](https://orcid.org/0000-0001-7317-1634) · [**h-index 10**](https://openalex.org/authors/A5110593952) · [53 works](https://openalex.org/works?filter=author.id:A5110593952) · [263 citations](https://openalex.org/works?filter=author.id:A5110593952&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/decheng-wu/#papers) · [🔗 Cited 11 times in our library](https://md.research.elamur.ai/free/en/authors/decheng-wu/cited-by/) · [⭐ Paper Stars ranking: #11013](https://md.research.elamur.ai/free/en/paper-stars/page/111/#star-11013)

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

## Affiliations

[🎓**Chongqing University of Posts and Telecommunications** Chongqing · China 2021–2026 · 32 papers*current*](https://md.research.elamur.ai/free/en/universities/chongqing-university-of-posts-and-telecommunications/) · [🎓**Chongqing University** Chongqing · China 2018–2020 · 8 papers](https://md.research.elamur.ai/free/en/universities/chongqing-university/) · [🔬**Anhui Institute of Optics and Fine Mechanics** Hefei · China 2019–2025 · 2 papers](https://ror.org/03bzbv419) · [🏛️**Chinese Academy of Sciences** Beijing · China 2022–2025 · 2 papers](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 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 5 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/)

🧭 Topics 2 Research subjects and languages the work is about.[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

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/decheng-wu/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/decheng-wu/year/2025/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Hunyuan-TurboS: Advancing Large Language Models through Mamba-Transformer Synergy and Adaptive Chain-of-Thought](https://md.research.elamur.ai/free/en/papers/team-2025-hunyuan-hunyuan-turbos-advancing-large/)** *(2025 · 10 citations)* Hunyuan-TurboS tackles the tension between strong LLM quality and inference cost, especially for long inputs and reasoning-heavy requests.
2. **[Hunyuan-A13B Technical Report](https://md.research.elamur.ai/free/en/papers/team-2026-hunyuan-hunyuan-a13b-technical-report/)** *(2026 · 1 citation)* Serving frontier LLMs is costly because dense models use every weight for every token. Tencent's Hunyuan team addresses this with Hunyuan-A13B, an openly released sparse Mixture-of-Experts model. It has 80B parameters in total, but only about 13B are active per token: one always-on shared expert plus 8 of 64…

## Co-authors here

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

- [Ao Liu](https://md.research.elamur.ai/free/en/authors/ao-liu/) ×2
- [Botong Zhou](https://md.research.elamur.ai/free/en/authors/botong-zhou/) ×2
- [Can Xu](https://md.research.elamur.ai/free/en/authors/can-xu/) ×2
- [Chayse Zhou](https://md.research.elamur.ai/free/en/authors/chayse-zhou/) ×2
- [ChenChen Zhang](https://md.research.elamur.ai/free/en/authors/chenchen-zhang/) ×2
- [Chengcheng Xu](https://md.research.elamur.ai/free/en/authors/chengcheng-xu/) ×2
- [Chenhao Wang](https://md.research.elamur.ai/free/en/authors/chenhao-wang/) ×2
- [Dengpeng Wu](https://md.research.elamur.ai/free/en/authors/dengpeng-wu/) ×2
- [Dian Jiao](https://md.research.elamur.ai/free/en/authors/dian-jiao/) ×2
- [Dong Du](https://md.research.elamur.ai/free/en/authors/dong-du/) ×2
- [Tencent Hunyuan Team](https://md.research.elamur.ai/free/en/authors/tencent-hunyuan-team/) ×2

## Cited by

Papers of our library cite their works 11 times (of the 149,439 papers whose bibliographies we read); [4 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/decheng-wu/cited-by/).

Updated 1 November 2026
