---
title: "Yifei Wei — author profile and papers — Elamur Research"
description: "Yifei Wei, University of Southern California: 2 papers on Elamur Research (2026), h-index 1 — affiliations, topics, co-authors and who cites…"
canonical: "https://research.elamur.ai/free/en/authors/yifei-wei/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yifei-wei/)

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

# Yifei Wei

Yifei Wei has 2 papers in our library, in 2026; often with [Xiyang Hu](https://md.research.elamur.ai/free/en/authors/xiyang-hu/), [Yan Liu](https://md.research.elamur.ai/free/en/authors/yan-liu/), [Yi Liu](https://md.research.elamur.ai/free/en/authors/yi-liu/).

2 papers in our library · 2026

[OpenAlex](https://openalex.org/A5139769154) · [**h-index 1**](https://openalex.org/authors/A5139769154) · [2 works](https://openalex.org/works?filter=author.id:A5139769154) · [1 citations](https://openalex.org/works?filter=author.id:A5139769154&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/yifei-wei/#papers) · [⭐ Paper Stars ranking: #13204](https://md.research.elamur.ai/free/en/paper-stars/page/133/#star-13204)

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

## Affiliations

[🎓**Beihang University** Beijing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/beihang-university/) · [🎓**University of Southern California** Los Angeles · United States 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/university-of-southern-california/)

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).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [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/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Sociology and Political Science · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/sociology-and-political-science/)

## Works by year

### 2020s

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

## Papers

The most cited first (OpenAlex and our library).

1. **[Libra-VLA: Achieving Learning Equilibrium via Asynchronous Coarse-to-Fine Dual-System](https://md.research.elamur.ai/free/en/papers/wei-2026-libra-vla-achieving-learning-equilibrium/)** *(2026 · 1 citation)* Libra-VLA addresses a weakness of most Vision-Language-Action (VLA) robot policies. These policies translate visual and linguistic features straight into continuous motor commands in one flat step, which leaves a wide gap between semantics and actuation. The authors instead treat actions as living in a Hybrid Action…
2. **[Topology Matters: Measuring Memory Leakage in Multi-Agent LLMs](https://md.research.elamur.ai/free/en/papers/liu-2026-topology-matters-measuring-memory-leakage/)** *(2026)* LLM agents increasingly work in teams that exchange messages over a communication graph. This paper asks how the shape of that graph affects how easily private data stored in one agent's memory can be extracted by a malicious teammate. The authors build MAMA (Multi-Agent Memory Attack), a controlled benchmark.

## Co-authors here

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

- [Xiyang Hu](https://md.research.elamur.ai/free/en/authors/xiyang-hu/)
- [Yan Liu](https://md.research.elamur.ai/free/en/authors/yan-liu/)
- [Yi Liu](https://md.research.elamur.ai/free/en/authors/yi-liu/)
- [Yue Zhao](https://md.research.elamur.ai/free/en/authors/yue-zhao/)
- [Yushun Dong](https://md.research.elamur.ai/free/en/authors/yushun-dong/)
- [Yuxiang Lu](https://md.research.elamur.ai/free/en/authors/yuxiang-lu/)

## 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/)

Updated 1 November 2026
