---
title: "Qinyuan Cheng · Fudan University — author profile and papers"
description: "Qinyuan Cheng, Fudan University: 5 papers on Elamur Research (2025–2026), h-index 6 — affiliations, topics, co-authors and who cites…"
canonical: "https://research.elamur.ai/free/en/authors/qinyuan-cheng/"
---
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# Qinyuan Cheng

Qinyuan Cheng has 5 papers in our library, in 2025–2026, most of them on [Speech & spoken language](https://md.research.elamur.ai/free/en/topics/speech/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Xipeng Qiu](https://md.research.elamur.ai/free/en/authors/xipeng-qiu/), [Shimin Li](https://md.research.elamur.ai/free/en/authors/shimin-li/), [Zhaoye Fei](https://md.research.elamur.ai/free/en/authors/zhaoye-fei/).

5 papers in our library · 2025–2026

[OpenAlex](https://openalex.org/A5004651932) · [**h-index 6**](https://openalex.org/authors/A5004651932) · [39 works](https://openalex.org/works?filter=author.id:A5004651932) · [103 citations](https://openalex.org/works?filter=author.id:A5004651932&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 5 works in our library](https://md.research.elamur.ai/free/en/authors/qinyuan-cheng/#papers) · [🔗 Cited 83 times in our library](https://md.research.elamur.ai/free/en/authors/qinyuan-cheng/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #8708](https://md.research.elamur.ai/free/en/paper-stars/page/88/#star-8708)

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

## Affiliations

[🎓**Fudan University** Shanghai · China 2022–2026 · 18 papers*current*](https://md.research.elamur.ai/free/en/universities/fudan-university/) · [🎓**Shanghai Innovation Institute** Shanghai · China 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/shanghai-innovation-institute/) · [🔬**Shanghai Artificial Intelligence Laboratory** Shanghai · China 2024 · 2 papers](https://md.research.elamur.ai/free/en/labs/shanghai-artificial-intelligence-laboratory/)

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 10 The field of science this work belongs to (OpenAlex fields).[Computer Science · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 5 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 · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/) · [Computer Science Applications · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-science-applications/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Experimental and Cognitive Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/experimental-and-cognitive-psychology/) · [Signal Processing · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/signal-processing/)

🧭 Topics 6 Research subjects and languages the work is about.[Code & programming languages · 1 work](https://md.research.elamur.ai/free/en/topics/code-and-programming/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Speech & spoken language · 2 works](https://md.research.elamur.ai/free/en/topics/speech/) · [Tokenization & segmentation · 1 work](https://md.research.elamur.ai/free/en/topics/tokenization/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/)

## Works by year

### 2020s

[**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/qinyuan-cheng/year/2026/) · [**2025** 3 papers](https://md.research.elamur.ai/free/en/authors/qinyuan-cheng/year/2025/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Revisiting the Test-Time Scaling of o1-like Models: Do they Truly Possess Test-Time Scaling Capabilities?](https://md.research.elamur.ai/free/en/papers/zeng-2025-revisiting-test-time-scaling-o1/)** *(2025 · 38 citations)* Open o1-style reasoning models such as QwQ, Deepseek-R1 (R1) and LIMO generate very long chains of thought (CoT).
2. **[VisuoThink: Empowering LVLM Reasoning with Multimodal Tree Search](https://md.research.elamur.ai/free/en/papers/wang-2025-visuothink-empowering-lvlm-reasoning-multimodal/)** *(2025 · 13 citations)* Large vision-language models (LVLMs) still struggle with geometry problems and spatial navigation. People handle such tasks by sketching, checking intermediate pictures and trying alternative routes. Earlier multimodal "slow thinking" methods either reason purely in text over a fixed input image or add visual help…
3. **[Case2Code: Scalable Synthetic Data for Code Generation](https://md.research.elamur.ai/free/en/papers/shao-2025-case2code-scalable-synthetic-data-code/)** *(2025 · 7 citations)* Code LLMs are often improved with synthetic instruction data, but this data usually comes from a strong teacher model.
4. **[XY-Tokenizer: Mitigating the Semantic-Acoustic Conflict in Low-Bitrate Speech Codecs](https://md.research.elamur.ai/free/en/papers/gong-2026-xy-tokenizer-mitigating-semantic-acoustic/)** *(2026 · 4 citations)* Speech LLMs need discrete tokens that carry both linguistic content and acoustic detail. At low bitrates, codecs typically trade one for the other. This paper introduces XY-Tokenizer, a codec of roughly 1 kbps designed to reduce that tension.
5. **[WESR: A Benchmark and Strong Baseline for Word-level Event-Speech Recognition](https://md.research.elamur.ai/free/en/papers/yang-2026-wesr-benchmark-strong-baseline-word/)** *(2026)* Most speech recognition systems discard non-verbal vocalizations such as laughter, coughing or whispering.

## All works

7 works of theirs in our library, the most cited first; 5 with a page here, the others link their original until we summarise them.

1. **[Revisiting the Test-Time Scaling of o1-like Models: Do they Truly Possess Test-Time Scaling Capabilities?](https://md.research.elamur.ai/free/en/papers/zeng-2025-revisiting-test-time-scaling-o1/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhiyuan Zeng, Qinyuan Cheng, Zhangyue Yin, et al.*2025 · 38 citations*
2. **[Scaling of Search and Learning: A Roadmap to Reproduce o1 from Reinforcement Learning Perspective ↗](https://arxiv.org/abs/2412.14135) arXiv:2412.14135 · no summary yet**Zhiyuan Zeng et al.*2024 · 33 citations*
3. **[VisuoThink: Empowering LVLM Reasoning with Multimodal Tree Search](https://md.research.elamur.ai/free/en/papers/wang-2025-visuothink-empowering-lvlm-reasoning-multimodal/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yikun Wang, Siyin Wang, Qinyuan Cheng, et al.*2025 · 13 citations*
4. **[Case2Code: Scalable Synthetic Data for Code Generation](https://md.research.elamur.ai/free/en/papers/shao-2025-case2code-scalable-synthetic-data-code/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Yunfan Shao, Linyang Li, Yichuan Ma, et al.*2025 · 7 citations*
5. **[XY-Tokenizer: Mitigating the Semantic-Acoustic Conflict in Low-Bitrate Speech Codecs](https://md.research.elamur.ai/free/en/papers/gong-2026-xy-tokenizer-mitigating-semantic-acoustic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yitian Gong, Luozhijie Jin, Kuangwei Chen, et al.*2026 · 4 citations*
6. **[Mitigating Negative Style Transfer in Hybrid Dialogue System ↗](https://arxiv.org/abs/2212.07183) arXiv:2212.07183 · no summary yet**Shimin Li et al.*2022 · 3 citations*
7. **[WESR: A Benchmark and Strong Baseline for Word-level Event-Speech Recognition](https://md.research.elamur.ai/free/en/papers/yang-2026-wesr-benchmark-strong-baseline-word/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chenchen Yang, Kexin Huang, Liwei Fan, et al.*2026*

## Co-authors here

12 of 22 co-authors with a page, the most papers together first.

- [Xipeng Qiu](https://md.research.elamur.ai/free/en/authors/xipeng-qiu/) ×5
- [Shimin Li](https://md.research.elamur.ai/free/en/authors/shimin-li/) ×3
- [Zhaoye Fei](https://md.research.elamur.ai/free/en/authors/zhaoye-fei/) ×3
- [Dong Zhang](https://md.research.elamur.ai/free/en/authors/dong-zhang/) ×2
- [Qipeng Guo](https://md.research.elamur.ai/free/en/authors/qipeng-guo/) ×2
- [Dacheng Tao](https://md.research.elamur.ai/free/en/authors/dacheng-tao/)
- [Hang Yan](https://md.research.elamur.ai/free/en/authors/hang-yan/)
- [Kexin Huang](https://md.research.elamur.ai/free/en/authors/kexin-huang/)
- [Liang Ding](https://md.research.elamur.ai/free/en/authors/liang-ding/)
- [Linyang Li](https://md.research.elamur.ai/free/en/authors/linyang-li/)
- [Luozhijie Jin](https://md.research.elamur.ai/free/en/authors/luozhijie-jin/)
- [Peiji Li](https://md.research.elamur.ai/free/en/authors/peiji-li/)

## 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/) ×3: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/), [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) ×2
- [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/): [COLING 2025](https://md.research.elamur.ai/free/en/venues/coling/2025/)
- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/)

## Cited by

Papers of our library cite their works 83 times (of the 149,439 papers whose bibliographies we read); [35 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/qinyuan-cheng/cited-by/).

Updated 2 November 2026