Amber Yijia Zheng
I am a Ph.D. student in Computer Science at Purdue University, advised by Prof. Raymond A. Yeh. I received my B.Sc. in Data Science from Shanghai University of Finance and Economics, where I worked with Prof. Yixuan Qiu.
I am currently a Research Scientist Intern at Meta GenAI, working with Xi Yin and Lu Liu as a core contributor to a large-scale video generation project. Previously, I worked with Chen Chen at Apple Camera, and with David Wipf and Tong He at AWS AI Lab.
My research interests include generative models, post-training for video and image generation, retrieval-augmented architectures, and model safety/immunization. I am passionate about building scalable, controllable generative systems that are both high-fidelity and safe. Please feel free to reach out via email!
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Meta GenAI as a Research Scientist Intern in 2025 summer.
DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP
Model Immunization from a Condition Number Perspective
CFG-Zero*: Improved Classifier-Free Guidance for Flow Matching Models
Multi-concept Model Immunization through Differentiable Model Merging
Learning to obstruct few-shot image classification over restricted classes
IMMA: Immunizing text-to-image Models against Malicious Adaptation
