DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP

Amber Yijia Zheng, Yu Zhang, Jun Hu, Raymond A. Yeh, Chen Chen

arXiv, 2025

arXiv

Model Immunization from a Condition Number Perspective

Amber Yijia Zheng*, Site Bai*, Brian Bullins, Raymond A. Yeh (* equal contribution)

ICML 2025 Oral presentation (Top 1%)

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CFG-Zero*: Improved Classifier-Free Guidance for Flow Matching Models

Weichen Fan, Amber Yijia Zheng, Raymond A. Yeh, Ziwei Liu

arXiv, 2025

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Multi-concept Model Immunization through Differentiable Model Merging

Amber Yijia Zheng, Raymond A. Yeh

AAAI 2025

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Learning to obstruct few-shot image classification over restricted classes

Amber Yijia Zheng*, Chiao-An Yang*, Raymond A. Yeh (* equal contribution)

ECCV 2024

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IMMA: Immunizing text-to-image Models against Malicious Adaptation

Amber Yijia Zheng, Raymond A. Yeh

ECCV 2024

AI4CC Workshop in CVPR, 2024 (Best paper Runner-up)

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Graph Machine Learning through the Lens of Bilevel Optimization

Amber Yijia Zheng, Tong He, Yixuan Qiu, Minjie Wang, David Wipf

AISTATS 2024

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Learning Manifold Dimensions with Conditional Variational Autoencoders

Amber Yijia Zheng, Tong He, Yixuan Qiu, David Wipf

NeurIPS 2022

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