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Ning Yu

Ning Yu has 2 papers in our library, in 2026, most of them on Bias, fairness & safety, Vision & language; often with Li Wang, Qian Wang, Ruoxi Jia.

2 papers in our library · 2026

OpenAlex · ORCID · h-index 20 · 59 works · 1,991 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 19 times in our library · 3 more in our library without a page yet · ⭐ Paper Stars ranking: #11639

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

🎓SUNY BrockportBrockport · United States2019–2026 · 13 paperscurrent🏢NetflixLos Gatos · United States2024–2026 · 6 paperscurrent🎓State University of New YorkAlbany · United States2019–2026 · 3 paperscurrent🎓University of Maryland, College ParkCollege Park · United States2018–2021 · 12 papers🔬Max Planck Institute for InformaticsSaarbrücken · Germany2018–2021 · 10 papers🎓Georgia State UniversityAtlanta · United States2013–2017 · 8 papersEducation since 2013 · Computer Science🏢SalesforceSan Francisco · United States2022–2023 · 3 papers🔬Max Planck SocietyMunich · Germany2020–2021 · 3 papers🎓University of VirginiaCharlottesville · United States2016–2019 · 3 papers🎓University of PennsylvaniaPhiladelphia · United States2015 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksComputer Vision and Pattern Recognition · 2 worksComputer Graphics and Computer-Aided Design · 1 workArtificial Intelligence · 1 work

🧭 Topics 2Research subjects and languages the work is about.Bias, fairness & safety · 1 workVision & language · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. MAViS: A Multi-Agent Framework for Long-Sequence Video Storytelling (2026 · 1 citation)
    Current generative video models can produce convincing single shots, but they struggle to build minute-long stories.
  2. Beyond the Safety Tax: Mitigating Unsafe Text-to-Image Generation via External Safety Rectification (2026)
    Most safety defenses for text-to-image diffusion models change the generator itself, either by fine-tuning harmful concepts away (e.g., ESD, SafeGEN) or by steering sampling at inference (e.g., SLD).

All works

5 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Attributing Fake Images to GANs: Learning and Analyzing GAN Fingerprints ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetNing Yu, Larry Steven Davis, Mario Fritz2019 · 445 citations
  2. Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetNing Yu et al.2021 · 197 citations
  3. Dual Contrastive Loss and Attention for GANs ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetNing Yu et al.2021 · 53 citations
  4. MAViS: A Multi-Agent Framework for Long-Sequence Video StorytellingConference of the European Chapter of the Association for Computational Linguistics (EACL)Qian Wang, Ziqi Huang, Ruoxi Jia, et al.2026 · 1 citation
  5. Beyond the Safety Tax: Mitigating Unsafe Text-to-Image Generation via External Safety RectificationFindings of the Association for Computational LinguisticsXiangtao Meng, Yingkai Dong, Ning Yu, et al.2026

 Co-authors here

5 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 19 times (of the 149,439 papers whose bibliographies we read).

Updated

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