---
title: "Zhengxi Lu — author profile and papers — Elamur Research"
description: "Zhengxi Lu: 4 papers on Elamur Research (2026), h-index 1 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/zhengxi-lu/"
---
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# Zhengxi Lu

Zhengxi Lu has 4 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/), [Fei Tang](https://md.research.elamur.ai/free/en/authors/fei-tang/), [Hao Wang](https://md.research.elamur.ai/free/en/authors/hao-wang/).

4 papers in our library · 2026

[OpenAlex](https://openalex.org/A5139758611) · [**h-index 1**](https://openalex.org/authors/A5139758611) · [3 works](https://openalex.org/works?filter=author.id:A5139758611) · [1 citations](https://openalex.org/works?filter=author.id:A5139758611&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/zhengxi-lu/#papers) · [🔗 Cited 15 times in our library](https://md.research.elamur.ai/free/en/authors/zhengxi-lu/cited-by/) · [⭐ Paper Stars ranking: #9327](https://md.research.elamur.ai/free/en/paper-stars/page/94/#star-9327)

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

## Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 9 The field of science this work belongs to (OpenAlex fields).[Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [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/) · [Human-Computer Interaction · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/human-computer-interaction/) · [Information Systems · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Engineering · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/) · [Industrial and Manufacturing Engineering · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/industrial-and-manufacturing-engineering/) · [Software · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/software/)

🧭 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** 4 papers](https://md.research.elamur.ai/free/en/authors/zhengxi-lu/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.
3. **[UI-Copilot: Advancing Long-Horizon GUI Automation via Tool-Integrated Policy Optimization](https://md.research.elamur.ai/free/en/papers/lu-2026-ui-copilot-advancing-long-horizon/)** *(2026 · 1 citation)* Multimodal GUI agents perform well on short mobile tasks but break down on long, memory-heavy ones. Existing 7B models lose about 90.9% of their accuracy on MemGUI-Bench. The authors trace these failures to three causes: forgetting earlier observations, losing track of task progress, and making arithmetic mistakes.
4. **[Experience-driven Multi-turn Reinforcement Learning for GUI Agents](https://md.research.elamur.ai/free/en/papers/lu-2026-experience-driven-multi-turn-reinforcement/)** *(2026)* Training vision-based GUI agents for long, multi-step tasks involves a trade-off. Single-turn RL methods such as GRPO learn from expert histories, but at deployment the agent must rely on its own past actions, so training and real use differ. Online multi-turn RL closes this gap, but it brings sparse rewards, high…

## Co-authors here

12 of 24 co-authors with a page, the most papers together first.

- [Guangyi Liu](https://md.research.elamur.ai/free/en/authors/guangyi-liu/) ×3
- [Fei Tang](https://md.research.elamur.ai/free/en/authors/fei-tang/) ×2
- [Hao Wang](https://md.research.elamur.ai/free/en/authors/hao-wang/) ×2
- [Jun Xiao](https://md.research.elamur.ai/free/en/authors/jun-xiao/) ×2
- [Pengxiang Zhao](https://md.research.elamur.ai/free/en/authors/pengxiang-zhao/) ×2
- [Weiming Lu](https://md.research.elamur.ai/free/en/authors/weiming-lu/) ×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
- [Yongliang Shen](https://md.research.elamur.ai/free/en/authors/yongliang-shen/) ×2
- [Yueting Zhuang](https://md.research.elamur.ai/free/en/authors/yueting-zhuang/) ×2
- [Yuxiang Chai](https://md.research.elamur.ai/free/en/authors/yuxiang-chai/) ×2
- [Fei Huang](https://md.research.elamur.ai/free/en/authors/fei-huang/)

## 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/) ×3
- [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 15 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/zhengxi-lu/cited-by/).

Updated 1 November 2026
