Yankun Wu

According to our database, Yankun Wu authored at least 13 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Privacy in Image Datasets: A Case Study on Pregnancy Ultrasounds.

Rawisara Lohanimit, Yankun Wu, Amelia Katirai, Yuta Nakashima, Noa Garcia

CoRR, February, 2026

Context Matters: Auditing Gender Bias in T2I Generation through Risk-Tiered Use-Case Profiles.

Jose Luna, Yankun Wu, Xiaofei Xie, Noa Garcia

Proceedings of the 2026 ACM Conference on Fairness, Accountability, and Transparency, 2026

2025

Instance-Level Generation for Representation Learning.

Yankun Wu, Zakaria Laskar, Giorgos Kordopatis-Zilos, Noa Garcia, Giorgos Tolias

CoRR, October, 2025

Revealing Gender Bias from Prompt to Image in Stable Diffusion.

Yankun Wu, Yuta Nakashima, Noa Garcia

J. Imaging, 2025

Reverse Law of Effect in Sequential Parlay Gambling.

Yankun Wu, Xu-Yang Zhang, Hang Zhang, Yunai Su, Tianmei Si

Proceedings of the 47th Annual Meeting of the Cognitive Science Society, 2025

2024

GOYA: Leveraging Generative Art for Content-Style Disentanglement.

Yankun Wu, Yuta Nakashima, Noa Garcia

J. Imaging, July, 2024

Gender Bias Evaluation in Text-to-image Generation: A Survey.

Yankun Wu, Yuta Nakashima, Noa Garcia

CoRR, 2024

Reproducibility Companion Paper: Stable Diffusion for Content-Style Disentanglement in Art Analysis.

Yankun Wu, Yuta Nakashima, Noa Garcia, Sheng Li, Zhaoyang Zeng

Proceedings of the 2024 International Conference on Multimedia Retrieval, 2024

Stable Diffusion Exposed: Gender Bias from Prompt to Image.

Yankun Wu, Yuta Nakashima, Noa Garcia

Proceedings of the Seventh AAAI/ACM Conference on AI, Ethics, and Society (AIES-24) - Full Archival Papers, October 21-23, 2024, San Jose, California, USA, 2024

Generative Models for Art and Society.

Yankun Wu

Proceedings of the Seventh AAAI/ACM Conference on AI, Ethics, and Society (AIES-24) - Student Abstracts, October 21-23, 2024, San Jose, California, USA, 2024

2023

Not Only Generative Art: Stable Diffusion for Content-Style Disentanglement in Art Analysis.

Yankun Wu, Yuta Nakashima, Noa Garcia

Proceedings of the 2023 ACM International Conference on Multimedia Retrieval, 2023

Uncurated Image-Text Datasets: Shedding Light on Demographic Bias.

Noa Garcia, Yusuke Hirota, Yankun Wu, Yuta Nakashima

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2017

Laplacian total margin support vector machine based on within-class scatter.

Huimin Pei, Yanyan Chen, Yankun Wu, Ping Zhong

Knowl. Based Syst., 2017