---
title: "Qingyao Li — author profile and papers — Elamur Research"
description: "Qingyao Li, Shanghai Jiao Tong University: 2 papers on Elamur Research (2025), h-index 4 — affiliations, topics, co-authors and who cites…"
canonical: "https://research.elamur.ai/free/en/authors/qingyao-li/"
---
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# Qingyao Li

Qingyao Li has 2 papers in our library, in 2025, most of them on [Code & programming languages](https://md.research.elamur.ai/free/en/topics/code-and-programming/); often with [Ruiming Tang](https://md.research.elamur.ai/free/en/authors/ruiming-tang/), [Weinan Zhang](https://md.research.elamur.ai/free/en/authors/weinan-zhang/), [Xinyi Dai](https://md.research.elamur.ai/free/en/authors/xinyi-dai/).

2 papers in our library · 2025

[OpenAlex](https://openalex.org/A5077296767) · [ORCID](https://orcid.org/0009-0000-3731-1548) · [Wikidata](https://www.wikidata.org/wiki/Q130968279) · [**h-index 4**](https://openalex.org/authors/A5077296767) · [13 works](https://openalex.org/works?filter=author.id:A5077296767) · [63 citations](https://openalex.org/works?filter=author.id:A5077296767&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/qingyao-li/#papers) · [🔗 Cited 21 times in our library](https://md.research.elamur.ai/free/en/authors/qingyao-li/cited-by/) · [⭐ Paper Stars ranking: #10426](https://md.research.elamur.ai/free/en/paper-stars/page/105/#star-10426)

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

## Affiliations

[🎓**Shanghai Jiao Tong University** Shanghai · China 2023–2026 · 11 papers*current*](https://md.research.elamur.ai/free/en/universities/shanghai-jiao-tong-university/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution 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).[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 Science Applications · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-science-applications/) · [Information Systems · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

🧭 Topics 1 Research subjects and languages the work is about.[Code & programming languages · 2 works](https://md.research.elamur.ai/free/en/topics/code-and-programming/)

## Works by year

### 2020s

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

## Papers

The most cited first (OpenAlex and our library).

1. **[RethinkMCTS: Refining Erroneous Thoughts in Monte Carlo Tree Search for Code Generation](https://md.research.elamur.ai/free/en/papers/li-2025-rethinkmcts-refining-erroneous-thoughts-monte/)** *(2025 · 16 citations)* The paper tackles a weakness of tree-search approaches to LLM code generation. Existing methods such as LATS search directly over code and handle mistakes through reflection, which piles up summaries of past errors in memory but never repairs the flawed reasoning itself. The authors propose RethinkMCTS, which runs…
2. **[CodePRM: Execution Feedback-enhanced Process Reward Model for Code Generation](https://md.research.elamur.ai/free/en/papers/li-2025-codeprm-execution-feedback-enhanced-process/)** *(2025 · 15 citations)* Process reward models (PRMs) that score intermediate reasoning steps work well in math, but code is harder.

## Co-authors here

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

- [Ruiming Tang](https://md.research.elamur.ai/free/en/authors/ruiming-tang/) ×2
- [Weinan Zhang](https://md.research.elamur.ai/free/en/authors/weinan-zhang/) ×2
- [Xinyi Dai](https://md.research.elamur.ai/free/en/authors/xinyi-dai/) ×2
- [Yasheng Wang](https://md.research.elamur.ai/free/en/authors/yasheng-wang/) ×2
- [Yong Yu](https://md.research.elamur.ai/free/en/authors/yong-yu/) ×2
- [Kounianhua Du](https://md.research.elamur.ai/free/en/authors/kounianhua-du/)
- [Wei Xia](https://md.research.elamur.ai/free/en/authors/wei-xia/)
- [Weiwen Liu](https://md.research.elamur.ai/free/en/authors/weiwen-liu/)
- [Xiangyang Li](https://md.research.elamur.ai/free/en/authors/xiangyang-li/)

## Venues

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

- [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2025](https://md.research.elamur.ai/free/en/venues/emnlp/2025/)
- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2025](https://md.research.elamur.ai/free/en/venues/findings/2025/)

## Cited by

Papers of our library cite their works 21 times (of the 149,439 papers whose bibliographies we read); [7 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/qingyao-li/cited-by/).

Updated 3 November 2026
