Elamur Research⌕
☰
home / authors / Huanqian Yan

Huanqian Yan

Huanqian Yan has 2 papers in our library, in 2026, most of them on Language models & pretraining, Bias, fairness & safety, Vision & language; often with Jingyuan Zhang, Kaiwen Wei, Xinyi Zeng.

2 papers in our library · 2026

OpenAlex · ORCID · h-index 10 · 38 works · 343 citations OpenAlex, 2026-10-14

📄 2 works in our library · ⭐ Paper Stars ranking: #13613

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

🎓Beihang UniversityBeijing · China2020–2026 · 18 paperscurrent🎓Tsinghua UniversityBeijing · China2024–2026 · 4 paperscurrent🎓Lanzhou UniversityLanzhou · China2017–2018 · 4 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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 7The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksComputer Science · 2 worksArts and Humanities · 1 workComputer Vision and Pattern Recognition · 1 workHuman-Computer Interaction · 1 workInformation Systems · 1 workLanguage and Linguistics · 1 work

🧭 Topics 3Research subjects and languages the work is about.Bias, fairness & safety · 1 workLanguage models & pretraining · 1 workVision & language · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Me-Agent: A Personalized Mobile Agent with Two-Level User Habit Learning for Enhanced Interaction (2026)
    LLM-driven phone agents usually execute only what the user states explicitly. They struggle when a request leaves out the app ("play some music") or the content ("play my favorite"), and they do not learn from a person's past behavior. Me-Agent addresses this without any fine-tuning by modeling user habits at two…
  2. SafeSteer: A Decoding-level Defense Mechanism for Multimodal Large Language Models (2026)
    Multimodal LLMs are easier to jailbreak than text-only models, especially when the harmful content is hidden in an image.

 Co-authors here

8 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.

Updated

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