---
title: "Zhirong Wu — author profile and papers — Elamur Research"
description: "Zhirong Wu, Guilin University of Aerospace Technology: 2 papers on Elamur Research (2025), h-index 23 — affiliations, topics, co-authors…"
canonical: "https://research.elamur.ai/free/en/authors/zhirong-wu/"
---
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# Zhirong Wu

Zhirong Wu has 2 papers in our library, in 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/); often with [Bryan Dai](https://md.research.elamur.ai/free/en/authors/bryan-dai/), [Chong Luo](https://md.research.elamur.ai/free/en/authors/chong-luo/), [Jiang Bian](https://md.research.elamur.ai/free/en/authors/jiang-bian/).

2 papers in our library · 2025

[OpenAlex](https://openalex.org/A5059765313) · [ORCID](https://orcid.org/0000-0001-9346-9964) · [**h-index 23**](https://openalex.org/authors/A5059765313) · [88 works](https://openalex.org/works?filter=author.id:A5059765313) · [11,452 citations](https://openalex.org/works?filter=author.id:A5059765313&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/zhirong-wu/#papers) · [🔗 Cited 308 times in our library](https://md.research.elamur.ai/free/en/authors/zhirong-wu/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #7195](https://md.research.elamur.ai/free/en/paper-stars/page/72/#star-7195)

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

## Affiliations

[🎓**Guilin University of Aerospace Technology** Guilin · China 2023–2026 · 5 papersEmployment since 2023*current*](https://ror.org/00h1gc758) · [🎓**Nanjing University** Nanjing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/nanjing-university/) · [🏢**Microsoft Research Asia** Beijing · China 2018–2025 · 21 papers](https://md.research.elamur.ai/free/en/companies/microsoft-research-asia/) · [🎓**Nanjing Forestry University** Nanjing · China 2023–2024 · 9 papers](https://ror.org/03m96p165) · [🏢**Microsoft** Redmond · United States 2020–2025 · 8 papers](https://md.research.elamur.ai/free/en/companies/microsoft/) · [🎓**Hunan University of Science and Technology** Xiangtan · China 2020–2022 · 6 papers](https://ror.org/02m9vrb24) · [🎓**Chinese University of Hong Kong** Hong Kong · China 2015–2021 · 6 papers](https://md.research.elamur.ai/free/en/universities/chinese-university-of-hong-kong/) · [🎓**Shanghai Normal University** Shanghai · China 2005–2013 · 5 papers](https://ror.org/01cxqmw89) · [🏥**Zhengzhou Children's Hospital** Zhengzhou · China 2017–2024 · 2 papers](https://ror.org/01jfd9z49) · [🎓**Nanchang University** Nanchang · China 2021–2023 · 2 papers](https://ror.org/042v6xz23)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 11 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 4 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [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/) · [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 · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/)

## Works by year

### 2020s

[**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/zhirong-wu/year/2025/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/xie-2025-logic-rl-unleashing-llm/)** *(2025 · 104 citations)* Logic-RL tests whether the rule-based reinforcement learning (RL) approach behind DeepSeek-R1 can be reproduced with a smaller model, and what training data supports it best.
2. **[Reinforcement Learning with Verifiable Rewards Implicitly Incentivizes Correct Reasoning in Base LLMs](https://md.research.elamur.ai/free/en/papers/wen-2025-reinforcement-learning-verifiable-rewards-implicitly/)** *(2025 · 62 citations)* The paper addresses a disputed question: does reinforcement learning with verifiable rewards (RLVR) make LLMs reason better, or does it only make already-known solutions easier to sample? Earlier work saw base models catch up with RLVR-tuned models on Pass@K at large K.

## All works

4 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. **[3D ShapeNets: A deep representation for volumetric shapes ↗](https://doi.org/10.1109/cvpr.2015.7298801) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Zhirong Wu et al.*2015 · 4,663 citations*
2. **[A Simple Multi-Modality Transfer Learning Baseline for Sign Language Translation ↗](https://doi.org/10.1109/cvpr52688.2022.00506) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Yutong Chen et al.*2022 · 193 citations*
3. [**Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning arXiv:2502.14768**Tian Xie, Zitian Gao, Qingnan Ren, et al.*2025 · 104 citations*](https://md.research.elamur.ai/free/en/papers/xie-2025-logic-rl-unleashing-llm/)
4. [**Reinforcement Learning with Verifiable Rewards Implicitly Incentivizes Correct Reasoning in Base LLMs arXiv:2506.14245**Xumeng Wen, Zihan Liu, Shun Zheng, et al.*2025 · 62 citations*](https://md.research.elamur.ai/free/en/papers/wen-2025-reinforcement-learning-verifiable-rewards-implicitly/)

## Co-authors here

12 of 13 co-authors with a page, the most papers together first.

- [Bryan Dai](https://md.research.elamur.ai/free/en/authors/bryan-dai/)
- [Chong Luo](https://md.research.elamur.ai/free/en/authors/chong-luo/)
- [Jiang Bian](https://md.research.elamur.ai/free/en/authors/jiang-bian/)
- [Joey Tianyi Zhou](https://md.research.elamur.ai/free/en/authors/joey-tianyi-zhou/)
- [Junjie Li](https://md.research.elamur.ai/free/en/authors/junjie-li/)
- [Mao Yang](https://md.research.elamur.ai/free/en/authors/mao-yang/)
- [Shun Zheng](https://md.research.elamur.ai/free/en/authors/shun-zheng/)
- [Tian Xie](https://md.research.elamur.ai/free/en/authors/tian-xie/)
- [Xiao Liang](https://md.research.elamur.ai/free/en/authors/xiao-liang/)
- [Yang Wang](https://md.research.elamur.ai/free/en/authors/yang-wang/)
- [Zhijian Xu](https://md.research.elamur.ai/free/en/authors/zhijian-xu/)
- [Zihan Liu](https://md.research.elamur.ai/free/en/authors/zihan-liu/)

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings ×2

## Cited by

Papers of our library cite their works 308 times (of the 149,439 papers whose bibliographies we read); [70 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/zhirong-wu/cited-by/).

Updated 3 November 2026
