---
title: "Xiangyang Li — author profile and papers — Elamur Research"
description: "Xiangyang Li, University of Science and Technology of China: 3 papers on Elamur Research (2021–2026), h-index 46 — affiliations, topics…"
canonical: "https://research.elamur.ai/free/en/authors/xiangyang-li/"
---
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# Xiangyang Li

Xiangyang Li has 3 papers in our library, in 2021–2026, most of them on [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [English](https://md.research.elamur.ai/free/en/topics/english/); often with [Feng Wu](https://md.research.elamur.ai/free/en/authors/feng-wu/), [Hao Zhang](https://md.research.elamur.ai/free/en/authors/hao-zhang/), [Kuicai Dong](https://md.research.elamur.ai/free/en/authors/kuicai-dong/).

3 papers in our library · 2021–2026

[OpenAlex](https://openalex.org/A5082855855) · [ORCID](https://orcid.org/0000-0003-1623-316X) · [**h-index 46**](https://openalex.org/authors/A5082855855) · [685 works](https://openalex.org/works?filter=author.id:A5082855855) · [8,801 citations](https://openalex.org/works?filter=author.id:A5082855855&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/xiangyang-li/#papers) · [🔗 Cited 29 times in our library](https://md.research.elamur.ai/free/en/authors/xiangyang-li/cited-by/) · [⭐ Paper Stars ranking: #8478](https://md.research.elamur.ai/free/en/paper-stars/page/85/#star-8478)

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

## Affiliations

[🎓**University of Science and Technology of China** Hefei · China 2016–2026 · 46 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-science-and-technology-of-china/) · [🎓**Shandong University** Jinan · China 2023–2026 · 32 papers*current*](https://md.research.elamur.ai/free/en/universities/shandong-university/) · [🔬**Institute of High Energy Physics** Beijing · China 2024–2026 · 28 papers*current*](https://ror.org/03v8tnc06) · [🎓**Sun Yat-sen University** Guangzhou · China 2024–2026 · 28 papers*current*](https://md.research.elamur.ai/free/en/universities/sun-yat-sen-university/) · [🎓**University of Chinese Academy of Sciences** Beijing · China 2024–2026 · 27 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-chinese-academy-of-sciences/) · [🏢**China National Petroleum Corporation** Beijing · China 2011–2026 · 23 papers*current*](https://ror.org/05269d038) · [🔬**China Center of Advanced Science and Technology** Beijing · China 2024–2026 · 12 papers*current*](https://ror.org/02egfyg20) · [🔬**China Iron and Steel Research Institute Group** Beijing · China 2009–2026 · 7 papers*current*](https://ror.org/02e42hc22) · [🎓**Xi'an Aeronautical University** Xi'an · China 2019–2026 · 4 papers*current*](https://ror.org/03qn8zy63) · [🎓**Peking University** Beijing · China 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/peking-university/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 67 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 7 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 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/) · [Information Systems · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Sociology and Political Science · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/sociology-and-political-science/)

🧭 Topics 2 Research subjects and languages the work is about.[English · 1 work](https://md.research.elamur.ai/free/en/topics/english/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/xiangyang-li/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/xiangyang-li/year/2025/) · [**2021** 1 paper](https://md.research.elamur.ai/free/en/authors/xiangyang-li/year/2021/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Exploring Text-transformers in AAAI 2021 Shared Task: COVID-19 Fake News Detection in English](https://md.research.elamur.ai/free/en/papers/li-2021-exploring-text-transformers-aaai-2021/)** *(2021 · 44 citations)* The paper describes the third-place system in the Constraint@AAAI 2021 shared task. The task was binary classification of English social-media posts about COVID-19 (from Twitter, Facebook, Instagram and similar sources) as fake or real. The authors trained on the official dataset plus extra data they gathered online.…
2. **[CoIR: A Comprehensive Benchmark for Code Information Retrieval Models](https://md.research.elamur.ai/free/en/papers/li-2025-coir-comprehensive-benchmark-code-information/)** *(2025 · 29 citations)* Most IR systems and benchmarks target natural-language search. Existing code retrieval benchmarks such as CodeSearchNet, CosQA and XcodeEval cover only a few task types and narrow domains, and they use inconsistent metrics. Many models also appear to be tuned to these leaderboards. The authors present CoIR, a…
3. **[Escaping the Sisyphus Dilemma: Experience Replay for Robust Text-to-Optimization Modeling](https://md.research.elamur.ai/free/en/papers/xie-2026-escaping-sisyphus-dilemma-experience-replay/)** *(2026)* LLMs can turn natural-language problem descriptions into executable optimization models, such as MILP formulations for solvers like Gurobi.

## Co-authors here

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

- [Feng Wu](https://md.research.elamur.ai/free/en/authors/feng-wu/)
- [Hao Zhang](https://md.research.elamur.ai/free/en/authors/hao-zhang/)
- [Kuicai Dong](https://md.research.elamur.ai/free/en/authors/kuicai-dong/)
- [Ruiming Tang](https://md.research.elamur.ai/free/en/authors/ruiming-tang/)
- [Sujian Li](https://md.research.elamur.ai/free/en/authors/sujian-li/)
- [Wei Xia](https://md.research.elamur.ai/free/en/authors/wei-xia/)
- [Xiang Long](https://md.research.elamur.ai/free/en/authors/xiang-long/)
- [Xinyi Dai](https://md.research.elamur.ai/free/en/authors/xinyi-dai/)
- [Yasheng Wang](https://md.research.elamur.ai/free/en/authors/yasheng-wang/)
- [Yu Xia](https://md.research.elamur.ai/free/en/authors/yu-xia/)
- [Zheng Li](https://md.research.elamur.ai/free/en/authors/zheng-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/): [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/)
- [Communications in computer and information science](https://md.research.elamur.ai/free/en/venues/communications-in-computer-and-information-science/): [Communications in computer and information science 2021](https://md.research.elamur.ai/free/en/venues/communications-in-computer-and-information-science/2021/)
- [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 29 times (of the 149,439 papers whose bibliographies we read); [8 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/xiangyang-li/cited-by/).

Updated 2 November 2026
