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Xinyi Zeng

Xinyi Zeng has 3 papers in our library, in 2026, most of them on Language models & pretraining, Bias, fairness & safety, Vision & language; often with Jingyuan Zhang, Yu Tian, Huanqian Yan.

3 papers in our library · 2026

OpenAlex · h-index 0 · 3 works · 0 citations OpenAlex, 2026-10-14

📄 3 works in our library · ⭐ Paper Stars ranking: #13378

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

🎓Tsinghua UniversityBeijing · China2026 · 1 papercurrent

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 7The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 3 worksComputer Science · 3 worksArts and Humanities · 2 worksComputer Vision and Pattern Recognition · 2 worksLanguage and Linguistics · 2 worksHuman-Computer Interaction · 1 workInformation Systems · 1 work

🧭 Topics 3Research subjects and languages the work is about.Language models & pretraining · 2 worksBias, fairness & safety · 1 workVision & language · 1 work

 Works by year

2020s

20263 papers

 Papers

The most cited first (OpenAlex and our library).

  1. DPN-LE: Dual Personality Neuron Localization and Editing for Large Language Models (2026)
    Neuron-editing approaches to steering the personality of large language models, such as NPTI, alter tens of thousands of MLP neurons per trait and harm general abilities.
  2. 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…
  3. 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

11 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

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