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!

Email  /  CV  /  Google Scholar  /  Twitter  /  Github /  Linkedin

profile photo

'Yijia' sounds like 'One Plus' in Chinese. Can also call me '1+'.

News

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 A*STAR 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!

Invited Talks

Centre for Frontier AI Research, Singapore. (link, slides)

Research
imma IMMA: Immunizing text-to-image Models against Malicious Adaptation
Amber Yijia Zheng and Raymond A. Yeh
Project Page / arXiv / Code
bloomgml Graph Machine Learning through the Lens of Bilevel Optimization
Amber Yijia Zheng, Tong He, Yixuan Qiu, Minjie Wang, David Wipf
AISTATS, 2024
cvae Learning Manifold Dimensions with Conditional Variational Autoencoders
Amber Yijia Zheng, Tong He, Yixuan Qiu, David Wipf
NeurIPS, 2022
arXiv / Code
Services

Conference reviewer: NeurIPS, ICLR, CVPR

Awards

NeurIPS 2022, Scholar Award, 2022

Shanghai Outstanding Graduate, 2022

First-class People's Scholarship, 2020, 2021, 2022


Updated in Jan. 2024. Cloned from this popular template.