I'm a Ph.D. student in Computer Science at Purdue University advised by Prof. Raymond A. Yeh. I received my B.Sc. in Data Science at School of Statistics and Management, Shanghai University of Finance and Economics, where I was working with Prof. Yixuan Qiu.
I interned at Apple working with Chen Chen and AWS AI Lab working with David Wipf and Tong He.
My research interests lie in generative models and their applications across diverse tasks. Currently, I am interested in leveraging language models for vision. My past works include model editing, model immunization, image restoration, and manifold learning. Please feel free to reach out via email!
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Purdue UniversityPh.D. Student in Computer ScienceAug. 2022 - present -
Shanghai University of Finance and EconomicsB.sc. in Data ScienceSept. 2018 - Jul. 2022
Experience
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AppleResearch InternApr. 2024 - Sept. 2024 -
Amazon Web ServiceApplied Scientist InternFeb. 2022 - Apr. 2024
News
Invited Talks
Selected Publications (view all )
Learning to obstruct few-shot image classification over restricted classes
Amber Yijia Zheng*, Chiao-An Yang*, Raymond A. Yeh (* equal contribution)
ECCV 2024
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)
Graph Machine Learning through the Lens of Bilevel Optimization
Amber Yijia Zheng, Tong He, Yixuan Qiu, Minjie Wang, David Wipf
AISTATS 2024
Learning Manifold Dimensions with Conditional Variational Autoencoders
Amber Yijia Zheng, Tong He, Yixuan Qiu, David Wipf
NeurIPS 2022
All publications
Services
Conference reviewer: NeurIPS, ICLR, CVPR
Awards
- Best paper Runner-up in AI4CC at CVPR 2024
- NeurIPS Scholar Award 2022
- Shanghai Outstanding Graduate 2022
- First-class People's Scholarship 2020, 2021, 2022