---
title: "Minghui Chen — author profile and papers · Reasoning"
description: "Minghui Chen, Chinese Academy of Sciences: 2 papers on Elamur Research (2025–2026), h-index 0 — affiliations, topics, co-authors and…"
canonical: "https://research.elamur.ai/free/en/authors/minghui-chen/"
---
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# Minghui Chen

Minghui Chen has 2 papers in our library, in 2025–2026, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Chenxu Yang](https://md.research.elamur.ai/free/en/authors/chenxu-yang/), [Qingyi Si](https://md.research.elamur.ai/free/en/authors/qingyi-si/), [Weiping Wang](https://md.research.elamur.ai/free/en/authors/weiping-wang/).

2 papers in our library · 2025–2026

[OpenAlex](https://openalex.org/A5120604377) · [**h-index 0**](https://openalex.org/authors/A5120604377) · [2 works](https://openalex.org/works?filter=author.id:A5120604377) · [0 citations](https://openalex.org/works?filter=author.id:A5120604377&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/minghui-chen/#papers) · [🔗 Cited 110 times in our library](https://md.research.elamur.ai/free/en/authors/minghui-chen/cited-by/) · [⭐ Paper Stars ranking: #8155](https://md.research.elamur.ai/free/en/paper-stars/page/82/#star-8155)

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

## Affiliations

[🏛️**Chinese Academy of Sciences** Beijing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🔬**Institute of Information Engineering** Beijing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/labs/institute-of-information-engineering/) · [🎓**University of Chinese Academy of Sciences** Beijing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/university-of-chinese-academy-of-sciences/)

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

## 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/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/)

🧭 Topics 2 Research subjects and languages the work is about.[Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/)

## Works by year

### 2020s

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

## Papers

The most cited first (OpenAlex and our library).

1. **[Dynamic Early Exit in Reasoning Models](https://md.research.elamur.ai/free/en/papers/yang-2025-dynamic-early-exit-reasoning-models/)** *(2025 · 74 citations)* Large reasoning models such as DeepSeek-R1 and GPT-O1 often produce very long chains of thought (CoT). This "overthinking" adds latency and compute cost, and it can also turn a correct line of reasoning into a wrong one. In pilot runs, the authors forced models to answer at different points in their reasoning. Many…
2. **[Self-Distilled RLVR](https://md.research.elamur.ai/free/en/papers/yang-2026-self-distilled-rlvr/)** *(2026 · 37 citations)* Training reasoning LLMs with RLVR (for example, GRPO) assigns one sequence-level reward per rollout, so every token receives the same credit.

## Co-authors here

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

- [Chenxu Yang](https://md.research.elamur.ai/free/en/authors/chenxu-yang/) ×2
- [Qingyi Si](https://md.research.elamur.ai/free/en/authors/qingyi-si/) ×2
- [Weiping Wang](https://md.research.elamur.ai/free/en/authors/weiping-wang/) ×2
- [Zheng Lin](https://md.research.elamur.ai/free/en/authors/zheng-lin/) ×2
- [Chenyu Zhu](https://md.research.elamur.ai/free/en/authors/chenyu-zhu/)
- [Dingyu Yao](https://md.research.elamur.ai/free/en/authors/dingyu-yao/)
- [Jiaqi Wang](https://md.research.elamur.ai/free/en/authors/jiaqi-wang/)
- [Naibin Gu](https://md.research.elamur.ai/free/en/authors/naibin-gu/)
- [Nan Duan](https://md.research.elamur.ai/free/en/authors/nan-duan/)

## Cited by

Papers of our library cite their works 110 times (of the 149,439 papers whose bibliographies we read); [40 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/minghui-chen/cited-by/).

Updated 3 November 2026
