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Zhenyu Guan

Zhenyu Guan has 2 papers in our library, in 2026, most of them on Language models & pretraining, Information retrieval & search, Vision & language; often with Bingkang Shi, Bingyu Yan, Hongzhu Yi.

2 papers in our library · 2026

OpenAlex · h-index 0 · 4 works · 0 citations OpenAlex, 2026-10-14

📄 2 works in our library · ⭐ Paper Stars ranking: #14122

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 · China2026 · 1 papercurrent🎓University of Chinese Academy of SciencesBeijing · 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 5The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArtificial Intelligence · 1 workArts and Humanities · 1 workComputer Vision and Pattern Recognition · 1 workLanguage and Linguistics · 1 work

🧭 Topics 3Research subjects and languages the work is about.Information retrieval & search · 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. Beyond Static Persona Consistency: Dynamic Persona Coherence in LLM Role-Playing (2026)
    LLM role-playing agents usually treat a character's persona as one fixed attribute. In long, pressured conversations they therefore either repeat themselves mechanically or abandon the character. This paper proposes Dynamic Persona Coherence, which separates a stable identity layer from an adaptive layer whose…
  2. L2Dir: Integrating L2-Norm and Directional Alignment for Unsupervised Contrastive Representation Learning in Multimodal Retrieval (2026)
    Contrastive training for multimodal retrieval usually relies on InfoNCE, which compares embeddings only by direction on the unit hypersphere and ignores vector length (L2-norm).

 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

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