Amber Yijia Zheng

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.

Currently I'm a research intern at Apple working with Chen Chen. I interned at AWS Shanghai AI Lab working with David Wipf and Tong He on Generative models and Graph Machine Learning.

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

July 2024: Invited keynote speaker of T2MM @ICME 2024 (Link)

July 2024: Two papers are accepted by ECCV 2024!

Jun 2024: IMMA is selected as an oral presentation and awarded 🥈 Best Paper Runner-up 🥈 at AI4CC @CVPR 2024!

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.
Invited Talks

Jul 2024: Invited keynote spearker - T2MM @ICME (link)

Jun 2024: Oral presentation - AI for Content Creation Workshop @CVPR (slides)

Mar 2023: CFAR Rising Star speaker @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
ECCV, 2024
CVPRW, 2024 (Best paper Runner-up)
Project Page / arXiv / Code
imma Learning to obstruct few-shot image classification over restricted classes
Amber Yijia Zheng*, Chiao-An Yang*, Raymond A. Yeh
ECCV, 2024
Project Page / arXiv / Code (Coming soon)
bloomgml Graph Machine Learning through the Lens of Bilevel Optimization
Amber Yijia Zheng, Tong He, Yixuan Qiu, Minjie Wang, David Wipf
AISTATS, 2024
arXiv / Code
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

CVPR AI4CC, Best paper Runner-up, 2024

NeurIPS 2022, Scholar Award, 2022

Shanghai Outstanding Graduate, 2022

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

Attempting to walk my (dog)-cat
walkcat walkcat

Updated in July 2024. Cloned from this popular template.