Elamur Research⌕
☰
home / authors / Yuanhe Zhang

Yuanhe Zhang

Yuanhe Zhang has 2 papers in our library, in 2026, most of them on Language models & pretraining, Speech & spoken language; often with Zhenhong Zhou, Jie Zhang, Kun Wang.

2 papers in our library · 2026

OpenAlex · ORCID · h-index 3 · 14 works · 15 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 7 times in our library · ⭐ Paper Stars ranking: #11460

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓Shandong UniversityJinan · China2023–2026 · 9 paperscurrent🎓Beijing University of Posts and TelecommunicationsBeijing · China2026 · 1 papercurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 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 8The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksSocial Sciences · 1 workArtificial Intelligence · 2 worksComputer Networks and Communications · 1 workSociology and Political Science · 1 workArts and Humanities · 1 workLanguage and Linguistics · 1 workSignal Processing · 1 work

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 1 workSpeech & spoken language · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. CORBA: Contagious Recursive Blocking Attacks on Multi-Agent Systems Based on Large Language Models (2026 · 7 citations)
    The paper identifies a security gap in LLM-based multi-agent systems (LLM-MASs). Prior work mostly studied harmful content or attacks on single models and services. Here the authors target the cooperation between agents. They define a new threat class, Denial-of-Collaboration (DoC): the system keeps running but does…
  2. SEE: Signal Embedding Energy for Quantifying Noise Interference in Large Audio Language Models (2026 · 1 citation)
    Large Audio Language Models (LALMs) used in settings like car assistants or meeting tools often receive audio degraded by device and environmental noise.

 Co-authors here

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

Venues

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

 Cited by

Papers of our library cite their works 7 times (of the 149,439 papers whose bibliographies we read); 1 citing paper with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/yuanhe-zhang/