---
title: "Yuxiang Chai — author profile and papers — Elamur Research"
description: "Yuxiang Chai, Chinese University of Hong Kong: 2 papers on Elamur Research (2026), h-index 3 — affiliations, topics, co-authors and who…"
canonical: "https://research.elamur.ai/free/en/authors/yuxiang-chai/"
---
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# Yuxiang Chai

Yuxiang Chai has 2 papers in our library, in 2026, most of them on [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Guangyi Liu](https://md.research.elamur.ai/free/en/authors/guangyi-liu/), [Hao Wang](https://md.research.elamur.ai/free/en/authors/hao-wang/), [Pengxiang Zhao](https://md.research.elamur.ai/free/en/authors/pengxiang-zhao/).

2 papers in our library · 2026

[OpenAlex](https://openalex.org/A5123024338) · [ORCID](https://orcid.org/0009-0005-1167-4312) · [**h-index 3**](https://openalex.org/authors/A5123024338) · [16 works](https://openalex.org/works?filter=author.id:A5123024338) · [29 citations](https://openalex.org/works?filter=author.id:A5123024338&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/yuxiang-chai/#papers) · [🔗 Cited 14 times in our library](https://md.research.elamur.ai/free/en/authors/yuxiang-chai/cited-by/) · [⭐ Paper Stars ranking: #9488](https://md.research.elamur.ai/free/en/paper-stars/page/95/#star-9488)

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

## Affiliations

[🎓**Chinese University of Hong Kong** Hong Kong · China 2025–2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/universities/chinese-university-of-hong-kong/)

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 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/) · [Human-Computer Interaction · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/human-computer-interaction/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/)

🧭 Topics 1 Research subjects and languages the work is about.[Evaluation & benchmarks · 2 works](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/yuxiang-chai/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[LearnAct: Few-Shot Mobile GUI Agent with a Unified Demonstration Benchmark](https://md.research.elamur.ai/free/en/papers/liu-2026-learnact-few-shot-mobile-gui/)** *(2026 · 9 citations)* Mobile GUI agents built on large language models often fail in rare, app-specific situations that pre-training or fine-tuning cannot fully cover.
2. **[MAS-Bench: A Unified Benchmark for Shortcut-Augmented Hybrid Mobile GUI Agents](https://md.research.elamur.ai/free/en/papers/zhao-2026-mas-bench-unified-benchmark-shortcut/)** *(2026 · 6 citations)* Mobile agents driven by multimodal LLMs usually act only through the interface: they tap, swipe and type step by step. This is flexible but slow. Shortcuts such as APIs, deep-links and RPA scripts can skip whole sequences of GUI steps, but no benchmark has systematically tested agents that mix the two.

## Co-authors here

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

- [Guangyi Liu](https://md.research.elamur.ai/free/en/authors/guangyi-liu/) ×2
- [Hao Wang](https://md.research.elamur.ai/free/en/authors/hao-wang/) ×2
- [Pengxiang Zhao](https://md.research.elamur.ai/free/en/authors/pengxiang-zhao/) ×2
- [WenHao Wang](https://md.research.elamur.ai/free/en/authors/wenhao-wang/) ×2
- [Yaozhen Liang](https://md.research.elamur.ai/free/en/authors/yaozhen-liang/) ×2
- [Zhengxi Lu](https://md.research.elamur.ai/free/en/authors/zhengxi-lu/) ×2
- [Kexin Zhang](https://md.research.elamur.ai/free/en/authors/kexin-zhang/)
- [Shuai Ren](https://md.research.elamur.ai/free/en/authors/shuai-ren/)
- [Siheng Chen](https://md.research.elamur.ai/free/en/authors/siheng-chen/)
- [Zhaolu Kang](https://md.research.elamur.ai/free/en/authors/zhaolu-kang/)
- [Zhiming Chen](https://md.research.elamur.ai/free/en/authors/zhiming-chen/)

## 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 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/)
- [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 14 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/yuxiang-chai/cited-by/).

Updated 1 November 2026
