---
title: "Fei Tang — author profile and papers — Elamur Research"
description: "Fei Tang, Tencent: 2 papers on Elamur Research (2026), h-index 0 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/fei-tang/"
---
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# Fei Tang

Fei Tang has 2 papers in our library, in 2026; often with [Jun Xiao](https://md.research.elamur.ai/free/en/authors/jun-xiao/), [Weiming Lu](https://md.research.elamur.ai/free/en/authors/weiming-lu/), [Yongliang Shen](https://md.research.elamur.ai/free/en/authors/yongliang-shen/).

2 papers in our library · 2026

[OpenAlex](https://openalex.org/A5133804073) · [**h-index 0**](https://openalex.org/authors/A5133804073) · [16 works](https://openalex.org/works?filter=author.id:A5133804073) · [0 citations](https://openalex.org/works?filter=author.id:A5133804073&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/fei-tang/#papers) · [🔗 Cited 1 time in our library](https://md.research.elamur.ai/free/en/authors/fei-tang/cited-by/) · [⭐ Paper Stars ranking: #11505](https://md.research.elamur.ai/free/en/paper-stars/page/116/#star-11505)

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

## Affiliations

[🏢**Tencent** Shenzhen · China 2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/companies/tencent/) · [🎓**Zhejiang University** Hangzhou · China 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/zhejiang-university/)

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 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/) · [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/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Software · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/software/) · [Artificial Intelligence · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

## Works by year

### 2020s

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

## Papers

The most cited first (OpenAlex and our library).

1. **[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.
2. **[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 14 co-authors with a page, the most papers together first.

- [Jun Xiao](https://md.research.elamur.ai/free/en/authors/jun-xiao/) ×2
- [Weiming Lu](https://md.research.elamur.ai/free/en/authors/weiming-lu/) ×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
- [Zhengxi Lu](https://md.research.elamur.ai/free/en/authors/zhengxi-lu/) ×2
- [Fei Huang](https://md.research.elamur.ai/free/en/authors/fei-huang/)
- [Guangyi Liu](https://md.research.elamur.ai/free/en/authors/guangyi-liu/)
- [Haiyang Xu](https://md.research.elamur.ai/free/en/authors/haiyang-xu/)
- [Jiabo Ye](https://md.research.elamur.ai/free/en/authors/jiabo-ye/)
- [Jin Ma](https://md.research.elamur.ai/free/en/authors/jin-ma/)
- [Kaitao Song](https://md.research.elamur.ai/free/en/authors/kaitao-song/)
- [Ming Yan](https://md.research.elamur.ai/free/en/authors/ming-yan/)

## 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/) ×2: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2

## Cited by

Papers of our library cite their works 1 time (of the 149,439 papers whose bibliographies we read); [1 citing paper with a page here →](https://md.research.elamur.ai/free/en/authors/fei-tang/cited-by/).

Updated 1 November 2026
