---
title: "Jingcheng Hu — author profile and papers · Reasoning"
description: "Jingcheng Hu, Xinjiang Medical University: 4 papers on Elamur Research (2024–2026), h-index 6 — affiliations, topics, co-authors and who…"
canonical: "https://research.elamur.ai/free/en/authors/jingcheng-hu/"
---
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# Jingcheng Hu

Jingcheng Hu has 4 papers in our library, in 2024–2026, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/); often with [Chengyuan Yao](https://md.research.elamur.ai/free/en/authors/chengyuan-yao/), [Fanqi Wan](https://md.research.elamur.ai/free/en/authors/fanqi-wan/), [Yinmin Zhang](https://md.research.elamur.ai/free/en/authors/yinmin-zhang/).

4 papers in our library · 2024–2026

[OpenAlex](https://openalex.org/A5109632338) · [**h-index 6**](https://openalex.org/authors/A5109632338) · [27 works](https://openalex.org/works?filter=author.id:A5109632338) · [228 citations](https://openalex.org/works?filter=author.id:A5109632338&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/jingcheng-hu/#papers) · [🔗 Cited 205 times in our library](https://md.research.elamur.ai/free/en/authors/jingcheng-hu/cited-by/) · [⭐ Paper Stars ranking: #6301](https://md.research.elamur.ai/free/en/paper-stars/page/64/#star-6301)

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

## Affiliations

[🏥**First Affiliated Hospital of Soochow University** Suzhou · China 2017–2026 · 12 papers*current*](https://ror.org/051jg5p78) · [🎓**Tsinghua University** Beijing · China 2023–2026 · 5 papers*current*](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🎓**Xinjiang Medical University** Ürümqi · China 2024–2026 · 2 papers*current*](https://ror.org/01p455v08) · [🏥**First Affiliated Hospital of Xinjiang Medical University** Ürümqi · China 2026 · 1 paper*current*](https://ror.org/02qx1ae98) · [🏢**Microsoft Research Asia** Beijing · China 2023–2024 · 2 papers](https://md.research.elamur.ai/free/en/companies/microsoft-research-asia/)

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 · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computational Theory and Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/)

🧭 Topics 3 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/)

## Works by year

### 2020s

[**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/jingcheng-hu/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/jingcheng-hu/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/jingcheng-hu/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model](https://md.research.elamur.ai/free/en/papers/hu-2025-open-reasoner-zero-open-source/)** *(2025 · 128 citations)* DeepSeek-R1-Zero showed that reinforcement learning applied directly to a base language model can steadily improve reasoning, but its training recipe was only briefly described and not reproducible.
2. **[Common 7B Language Models Already Possess Strong Math Capabilities](https://md.research.elamur.ai/free/en/papers/li-2024-common-7b-language-models-already/)** *(2024 · 79 citations)* The paper challenges the belief that math reasoning appears only in very large models or in models pre-trained heavily on mathematical text.
3. **[PaCoRe: Learning to Scale Test-Time Compute with Parallel Coordinated Reasoning](https://md.research.elamur.ai/free/en/papers/hu-2026-pacore-learning-scale-test-time/)** *(2026 · 5 citations)* Language models that reason step by step in a single chain hit a hard limit: once the context window is full, reasoning must stop.
4. **[STEP3-VL-10B Technical Report](https://md.research.elamur.ai/free/en/papers/huang-2026-step3-vl-10b-technical/)** *(2026 · 2 citations)* Compact multimodal models (around 10B parameters or fewer) are usually efficient but weaker at difficult perception and reasoning.

## Co-authors here

12 of 20 co-authors with a page, the most papers together first.

- [Chengyuan Yao](https://md.research.elamur.ai/free/en/authors/chengyuan-yao/) ×2
- [Fanqi Wan](https://md.research.elamur.ai/free/en/authors/fanqi-wan/) ×2
- [Yinmin Zhang](https://md.research.elamur.ai/free/en/authors/yinmin-zhang/) ×2
- [Ailin Huang](https://md.research.elamur.ai/free/en/authors/ailin-huang/)
- [Chen Li](https://md.research.elamur.ai/free/en/authors/chen-li/)
- [Chunrui Han](https://md.research.elamur.ai/free/en/authors/chunrui-han/)
- [Daxin Jiang](https://md.research.elamur.ai/free/en/authors/daxin-jiang/)
- [Han Hu](https://md.research.elamur.ai/free/en/authors/han-hu/)
- [Hangyu Guo](https://md.research.elamur.ai/free/en/authors/hangyu-guo/)
- [Heung-Yeung Shum](https://md.research.elamur.ai/free/en/authors/heung-yeung-shum/)
- [Houwen Peng](https://md.research.elamur.ai/free/en/authors/houwen-peng/)
- [Nanning Zheng](https://md.research.elamur.ai/free/en/authors/nanning-zheng/)

## 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/)
- [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2025](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/)

## Cited by

Papers of our library cite their works 205 times (of the 149,439 papers whose bibliographies we read); [83 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jingcheng-hu/cited-by/).

Updated 2 November 2026
