---
title: "Meng Fang · University of Liverpool — author profile and papers"
description: "Meng Fang, University of Liverpool: 2 papers on Elamur Research (2026), h-index 26 — affiliations, topics, co-authors and who cites them in…"
canonical: "https://research.elamur.ai/free/en/authors/meng-fang/"
---
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# Meng Fang

Meng Fang has 2 papers in our library, in 2026, most of them on [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/); often with [Ling Chen](https://md.research.elamur.ai/free/en/authors/ling-chen/), [Biao Wu](https://md.research.elamur.ai/free/en/authors/biao-wu/), [Haozhe Wang](https://md.research.elamur.ai/free/en/authors/haozhe-wang/).

2 papers in our library · 2026

[OpenAlex](https://openalex.org/A5100400497) · [ORCID](https://orcid.org/0000-0003-0793-9187) · [**h-index 26**](https://openalex.org/authors/A5100400497) · [131 works](https://openalex.org/works?filter=author.id:A5100400497) · [2,736 citations](https://openalex.org/works?filter=author.id:A5100400497&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/meng-fang/#papers) · [🔗 Cited 284 times in our library](https://md.research.elamur.ai/free/en/authors/meng-fang/cited-by/) · [12 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #10730](https://md.research.elamur.ai/free/en/paper-stars/page/108/#star-10730)

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

## Affiliations

[🎓**University of Liverpool** Liverpool · United Kingdom 2022–2026 · 79 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-liverpool/) · [🎓**Eindhoven University of Technology** Eindhoven · Netherlands 2021–2026 · 29 papers](https://md.research.elamur.ai/free/en/universities/eindhoven-university-of-technology/) · [🏢**Tencent** Shenzhen · China 2018–2025 · 26 papers](https://md.research.elamur.ai/free/en/companies/tencent/) · [🎓**University of Technology Sydney** Sydney · Australia 2012–2023 · 22 papers](https://md.research.elamur.ai/free/en/universities/university-of-technology-sydney/) · [🎓**The University of Melbourne** Melbourne · Australia 2016–2018 · 10 papers](https://md.research.elamur.ai/free/en/universities/the-university-of-melbourne/) · [🏛️**Commonwealth Scientific and Industrial Research Organisation** Canberra · Australia 2013–2016 · 4 papers](https://md.research.elamur.ai/free/en/government/commonwealth-scientific-and-industrial-research-organisation/) · [🏛️**National Research and Innovation Agency** Jakarta · Indonesia 2023–2026 · 2 papers](https://ror.org/02hmjzt55) · [🎓**Monash University** Melbourne · Australia 2022–2023 · 2 papers](https://md.research.elamur.ai/free/en/universities/monash-university/) · [🎓**University of Cambridge** Cambridge · United Kingdom 2022–2023 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-cambridge/) · [🎓**Wuhan University** Wuhan · China 2010–2011 · 2 papers](https://md.research.elamur.ai/free/en/universities/wuhan-university/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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 · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Information Systems · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

🧭 Topics 1 Research subjects and languages the work is about.[Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/)

## Works by year

### 2020s

[**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/meng-fang/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Infinity-Parser: Layout-Aware Reinforcement Learning with High-quality Document Parsing Dataset](https://md.research.elamur.ai/free/en/papers/wang-2026-infinity-parser-layout-aware-reinforcement/)** *(2026 · 4 citations)* Converting scanned pages into structured Markdown is difficult. Pages mix paragraphs, tables, formulas and figures, and a parser must recover both the content and its layout and reading order. The authors identify two obstacles: there is little training data with precise, layout-aware annotation, and supervised…
2. **[Benchmarking Web Agent Safety under E-commerce Deceptive Interfaces](https://md.research.elamur.ai/free/en/papers/shi-2026-benchmarking-web-agent-safety-under/)** *(2026)* Autonomous multimodal web agents increasingly act on users' behalf online, yet safety evaluations have mostly targeted malicious instructions or prompt injection.

## All works

14 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. **[Learning how to Active Learn: A Deep Reinforcement Learning Approach ↗](https://aclanthology.org/D17-1063/) Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing · no summary yet**Meng Fang, Yuan Li, Trevor Cohn*2017 · 301 citations*
2. **[Learning Granularity-Unified Representations for Text-to-Image Person Re-identification ↗](https://doi.org/10.1145/3503161.3548028) ACM International Conference on Multimedia (ACM MM) · no summary yet**Zhiyin Shao et al.*2022 · 197 citations*
3. **[Saliency propagation from simple to difficult ↗](https://doi.org/10.1109/cvpr.2015.7298868) 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**Chen Gong et al.*2015 · 151 citations*
4. **[Dual Adversarial Neural Transfer for Low-Resource Named Entity Recognition ↗](https://aclanthology.org/P19-1336/) Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yet**Joey Tianyi Zhou et al.*2019 · 134 citations*
5. **[Model Transfer for Tagging Low-resource Languages using a Bilingual Dictionary ↗](https://aclanthology.org/P17-2093/) Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) · no summary yet**Meng Fang, Trevor Cohn*2017 · 112 citations*
6. **[Is Neural Topic Modelling Better than Clustering? An Empirical Study on Clustering with Contextual Embeddings for Topics ↗](https://aclanthology.org/2022.naacl-main.285/) Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yet**Zihan Zhang et al.*2022 · 87 citations*
7. **[OpenR: An Open Source Framework for Advanced Reasoning with Large Language Models ↗](https://arxiv.org/abs/2410.09671) arXiv:2410.09671 · no summary yet**Jun Wang et al.*2024 · 50 citations*
8. **[MathOdyssey: Benchmarking Mathematical Problem-Solving Skills in Large Language Models Using Odyssey Math Data ↗](https://arxiv.org/abs/2406.18321) arXiv:2406.18321 · no summary yet**Meng Fang et al.*2024 · 46 citations*
9. **[Large Language Models Are Neurosymbolic Reasoners ↗](https://arxiv.org/abs/2401.09334) arXiv:2401.09334 · no summary yet**Meng Fang et al.*2024 · 34 citations*
10. **[Infinity-Parser: Layout-Aware Reinforcement Learning with High-quality Document Parsing Dataset](https://md.research.elamur.ai/free/en/papers/wang-2026-infinity-parser-layout-aware-reinforcement/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Baode Wang, Biao Wu, Weizhen Li, et al.*2026 · 4 citations*
11. **[VaseVQA: Multimodal Agent and Benchmark for Ancient Greek Pottery ↗](https://aclanthology.org/2026.findings-eacl.60/) Findings of the Association for Computational Linguistics: EACL 2026 · no summary yet**Jinchao Ge et al.*2026 · 1 citation*
12. **[Benchmarking Web Agent Safety under E-commerce Deceptive Interfaces](https://md.research.elamur.ai/free/en/papers/shi-2026-benchmarking-web-agent-safety-under/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zijing Shi, Meng Fang, Ling Chen*2026*
13. **[DOSE: Data Selection for Multi-Modal LLMs via Off-the-Shelf Models ↗](https://aclanthology.org/2026.findings-acl.45/) Findings of the Association for Computational Linguistics: ACL 2026 · no summary yet**Biao Wu et al.*2026*
14. **[MATH-IDN: A Multilingual Mathematical Problem Solving Dataset Featuring Local Languages in Indonesia ↗](https://aclanthology.org/2026.findings-eacl.231/) Findings of the Association for Computational Linguistics: EACL 2026 · no summary yet**Xiao Xiao et al.*2026*

## Co-authors here

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

- [Ling Chen](https://md.research.elamur.ai/free/en/authors/ling-chen/) ×2
- [Biao Wu](https://md.research.elamur.ai/free/en/authors/biao-wu/)
- [Haozhe Wang](https://md.research.elamur.ai/free/en/authors/haozhe-wang/)
- [Jun Huang](https://md.research.elamur.ai/free/en/authors/jun-huang/)
- [Wei Chu](https://md.research.elamur.ai/free/en/authors/wei-chu/)
- [Yuan Qi](https://md.research.elamur.ai/free/en/authors/yuan-qi/)

## 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/)
- [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/) ×2
- Findings of the Association for Computational Linguistics: EACL 2026 ×2
- [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/)
- ACM International Conference on Multimedia (ACM MM)
- Findings of the Association for Computational Linguistics: ACL 2026
- IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

## Cited by

Papers of our library cite their works 284 times (of the 149,439 papers whose bibliographies we read); [53 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/meng-fang/cited-by/).

Updated 1 November 2026