2025

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

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

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%)
Paper Project Page arXiv Code
CFG-Zero*: Improved Classifier-Free Guidance for Flow Matching Models

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

Weichen Fan, Amber Yijia Zheng, Raymond A. Yeh, Ziwei Liu
arXiv, 2025
Project Page arXiv Code
Multi-concept Model Immunization through Differentiable Model Merging

Multi-concept Model Immunization through Differentiable Model Merging

Amber Yijia Zheng, Raymond A. Yeh
AAAI 2025
Paper Project Page arXiv Code

2024

Learning to obstruct few-shot image classification over restricted classes

Learning to obstruct few-shot image classification over restricted classes

Amber Yijia Zheng*, Chiao-An Yang*, Raymond A. Yeh (* equal contribution)
ECCV 2024
Paper Project Page arXiv Code
IMMA: Immunizing text-to-image Models against Malicious Adaptation

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)
Paper Project Page arXiv Code
Graph Machine Learning through the Lens of Bilevel Optimization

Graph Machine Learning through the Lens of Bilevel Optimization

Amber Yijia Zheng, Tong He, Yixuan Qiu, Minjie Wang, David Wipf
AISTATS 2024
Paper arXiv Code

2022

Learning Manifold Dimensions with Conditional Variational Autoencoders

Learning Manifold Dimensions with Conditional Variational Autoencoders

Amber Yijia Zheng, Tong He, Yixuan Qiu, David Wipf
NeurIPS 2022
Paper arXiv Code