Amber Yijia Zheng
I'm a Ph.D. student in Computer Science at Purdue University advised by Prof. Raymond A. Yeh. I'm also working with David Wipf and Tong He at AWS Shanghai AI Lab. 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.
My research interests lie in developing algorithms and models for reliable and interpretable AI, specifically focusing on language and vision, Gen AI, and attributing model behaviors through the ML pipeline. Please feel free to reach out via email!
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CV  / 
Google Scholar  / 
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Linkedin
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'Yijia' sounds like 'One Plus' in Chinese. Can also call me '1+'.
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News
Feb 2024: I will join Apple as a research intern this summer.
Jan 2024: Our paper Graph Machine Learning through the Lens of Bilevel Optimization is accepted by AISTATS 2024!
Mar 2023: Invited speaker for Rising Star Lecture Series of ASTAR Center for Frontier AI Research (CFAR) (Link)
Oct 2022: I get NeurIPS 2022 Scholar Award.
Sept 2022: Our paper Learning Manifold Dimensions with Conditional Variational Autoencoders (paper, code) is accepted by NeurIPS 2022!
Aug 2022: I'm on boarding at Purdue as a PhD student. Boiler up!!
Jun 2022: I'm awarded Shanghai Outstanding Graduate and Honours Degree at Shanghai University of Finance and Economics.
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Invited Talks
Centre for Frontier AI Research, Singapore. (link, slides)
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IMMA: Immunizing text-to-image Models against Malicious Adaptation
Amber Yijia Zheng and Raymond A. Yeh
Project Page /
arXiv /
Code
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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
arXiv /
Code
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Services
Conference reviewer: NeurIPS, ICLR, CVPR
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Awards
NeurIPS 2022, Scholar Award, 2022
Shanghai Outstanding Graduate, 2022
First-class People's Scholarship, 2020, 2021, 2022
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Interests
Attempting to walk my (dog)-cat
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Updated in Feb. 2024. Cloned from this popular template.
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