---
title: "Xiuyi Chen — author profile and papers — Elamur Research"
description: "Xiuyi Chen, Chinese Academy of Sciences: 2 papers on Elamur Research (2025–2026), h-index 16 — affiliations, topics, co-authors and who…"
canonical: "https://research.elamur.ai/free/en/authors/xiuyi-chen/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/xiuyi-chen/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Xiuyi Chen

# Xiuyi Chen

Xiuyi Chen has 2 papers in our library, in 2025–2026, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/); often with [Bo XU](https://md.research.elamur.ai/free/en/authors/bo-xu/), [Duzhen Zhang](https://md.research.elamur.ai/free/en/authors/duzhen-zhang/), [Fei Yin](https://md.research.elamur.ai/free/en/authors/fei-yin/).

2 papers in our library · 2025–2026

[OpenAlex](https://openalex.org/A5009070585) · [ORCID](https://orcid.org/0000-0002-9351-4160) · [Wikidata](https://www.wikidata.org/wiki/Q131012139) · [**h-index 16**](https://openalex.org/authors/A5009070585) · [50 works](https://openalex.org/works?filter=author.id:A5009070585) · [687 citations](https://openalex.org/works?filter=author.id:A5009070585&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/xiuyi-chen/#papers) · [🔗 Cited 213 times in our library](https://md.research.elamur.ai/free/en/authors/xiuyi-chen/cited-by/) · [3 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6890](https://md.research.elamur.ai/free/en/paper-stars/page/69/#star-6890)

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

## Affiliations

[🏛️**Chinese Academy of Sciences** Beijing · China 2018–2026 · 20 papers*current*](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🔬**Institute of Automation** Beijing · China 2017–2026 · 18 papersEducation 2017–2022 · Ph.D*current*](https://md.research.elamur.ai/free/en/labs/institute-of-automation/) · [🏢**Baidu** Beijing · China 2023–2025 · 12 papers](https://md.research.elamur.ai/free/en/companies/baidu/) · [🎓**University of Chinese Academy of Sciences** Beijing · China 2018–2023 · 8 papers](https://md.research.elamur.ai/free/en/universities/university-of-chinese-academy-of-sciences/) · [🏢**Tencent** Shenzhen · China 2021–2022 · 4 papers](https://md.research.elamur.ai/free/en/companies/tencent/) · [🎓**Qingdao University of Science and Technology** Qingdao · China 2010–2011 · 3 papers](https://ror.org/041j8js14) · [🏢**Huawei Technologies** Shenzhen · China 2022–2023 · 2 papers](https://md.research.elamur.ai/free/en/companies/huawei-technologies/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 5 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 8 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/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Artificial Intelligence · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Chemistry · 1 work](https://md.research.elamur.ai/free/en/shelves/chemistry/) · [Computational Theory and Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/) · [Physical and Theoretical Chemistry · 1 work](https://md.research.elamur.ai/free/en/shelves/chemistry/physical-and-theoretical-chemistry/)

🧭 Topics 3 Research subjects and languages the work is about.[Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/)

## Works by year

### 2020s

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

## Papers

The most cited first (OpenAlex and our library).

1. **[From System 1 to System 2: A Survey of Reasoning Large Language Models](https://md.research.elamur.ai/free/en/papers/li-2025-system-1-system-2-survey/)** *(2025 · 165 citations)* Conventional LLMs respond quickly and intuitively, much like the fast "System 1" of dual-process cognitive theory, but they often fail on problems that require careful multi-step analysis.
2. **[ChemVLR: Prioritizing Reasoning in Perception for Chemical Vision-Language Understanding](https://md.research.elamur.ai/free/en/papers/zhao-2026-chemvlr-prioritizing-reasoning-perception-chemical/)** *(2026)* ChemVLR addresses a gap in chemical vision-language modeling. Existing chemical VLMs such as ChemVLM and TinyChemVL map images of molecules or reactions directly to answers. They give no interpretable rationale, and they make little use of the LLM's latent chemical knowledge. ChemVLR instead reasons explicitly during…

## All works

5 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. [**From System 1 to System 2: A Survey of Reasoning Large Language Models arXiv:2502.17419**Zhong-Zhi Li, Duzhen Zhang, Ming-Liang Zhang, et al.*2025 · 165 citations*](https://md.research.elamur.ai/free/en/papers/li-2025-system-1-system-2-survey/)
2. **[Bridging the Gap between Prior and Posterior Knowledge Selection for Knowledge-Grounded Dialogue Generation ↗](https://aclanthology.org/2020.emnlp-main.275/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Xiuyi Chen et al.*2020 · 103 citations*
3. **[DualGATs: Dual Graph Attention Networks for Emotion Recognition in Conversations ↗](https://aclanthology.org/2023.acl-long.408/) Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Duzhen Zhang, Feilong Chen, Xiuyi Chen*2023 · 91 citations*
4. **[Knowledge Aware Emotion Recognition in Textual Conversations via Multi-Task Incremental Transformer ↗](https://aclanthology.org/2020.coling-main.392/) Proceedings of the 28th International Conference on Computational Linguistics · no summary yet**Duzhen Zhang et al.*2020 · 63 citations*
5. **[ChemVLR: Prioritizing Reasoning in Perception for Chemical Vision-Language Understanding](https://md.research.elamur.ai/free/en/papers/zhao-2026-chemvlr-prioritizing-reasoning-perception-chemical/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xuanle Zhao, Xinyuan Cai, Xiang Cheng, et al.*2026*

## Co-authors here

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

- [Bo XU](https://md.research.elamur.ai/free/en/authors/bo-xu/)
- [Duzhen Zhang](https://md.research.elamur.ai/free/en/authors/duzhen-zhang/)
- [Fei Yin](https://md.research.elamur.ai/free/en/authors/fei-yin/)
- [Haotian Xu](https://md.research.elamur.ai/free/en/authors/haotian-xu/)
- [Jiaxin Zhang](https://md.research.elamur.ai/free/en/authors/jiaxin-zhang/)
- [Ming-Liang Zhang](https://md.research.elamur.ai/free/en/authors/ming-liang-zhang/)
- [Xinyuan Cai](https://md.research.elamur.ai/free/en/authors/xinyuan-cai/)
- [Xuanle Zhao](https://md.research.elamur.ai/free/en/authors/xuanle-zhao/)
- [Yingying Zhang](https://md.research.elamur.ai/free/en/authors/yingying-zhang/)
- [Zhong-Zhi Li](https://md.research.elamur.ai/free/en/authors/zhong-zhi-li/)

## Venues

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

- [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/)
- Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
- Proceedings of the 28th International Conference on Computational Linguistics
- Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

## Cited by

Papers of our library cite their works 213 times (of the 149,439 papers whose bibliographies we read); [64 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/xiuyi-chen/cited-by/).

Updated 2 November 2026
