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Ying Wang

Ying Wang has 3 papers in our library, in 2026, most of them on Language models & pretraining, Vision & language, Question answering; often with Lei Li, Tian Lan, Xinming Wang.

3 papers in our library · 2026

OpenAlex · h-index 0 · 2 works · 0 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 1 time in our library · ⭐ Paper Stars ranking: #12811

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

🎓Beijing University of TechnologyBeijing · China2025–2026 · 2 paperscurrent

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 9The field of science this work belongs to (OpenAlex fields).Computer Science · 3 worksArts and Humanities · 1 workArtificial Intelligence · 3 worksComputer Vision and Pattern Recognition · 2 worksInformation Systems · 1 workLanguage and Linguistics · 1 workExperimental and Cognitive Psychology · 1 workPsychology · 1 workSocial Psychology · 1 work

🧭 Topics 3Research subjects and languages the work is about.Language models & pretraining · 2 worksVision & language · 2 worksQuestion answering · 1 work

 Works by year

2020s

20263 papers

 Papers

The most cited first (OpenAlex and our library).

  1. WikiSeeker: Rethinking the Role of Vision-Language Models in Knowledge-Based Visual Question Answering (2026 · 1 citation)
    WikiSeeker targets Knowledge-Based Visual Question Answering (KB-VQA), where answers need encyclopedic facts that the image alone does not contain.
  2. Asymmetric Relational-Geometry Driven Universal Adversarial Perturbations for Vision-Language Models (2026)
    Vision-language pre-trained (VLP) models such as CLIP, BLIP and ALBEF can be fooled by adversarial inputs.
  3. CNSocialDepress: A Chinese Social Media Dataset for Depression Risk Detection and Structured Analysis (2026)
    Openly available Chinese resources for spotting depression risk are scarce, and most offer only yes/no labels without explaining why a user might be at risk.

 Co-authors here

4 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 1 time (of the 149,439 papers whose bibliographies we read); 1 citing paper with a page here →.

Updated

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