Amber Yijia Zheng
Scholar

Amber Yijia Zheng

Google Scholar ID: SZQIVG0AAAAJ
PhD Student, Purdue University
Generative ModelsDeep Learning
Citations & Impact
All-time
Citations
66
 
H-index
5
 
i10-index
2
 
Publications
9
 
Co-authors
4
list available
Resume (English only)
Academic Achievements
  • Paper 'Knowledge Distillation Detection for Open-weights Models' accepted by NeurIPS 2025 (Sep 2025); Paper 'Model Immunization from a Condition Number Perspective' accepted as Oral in ICML 2025 (May 2025); Paper 'Multi-concept Model Immunization through Differentiable Model Merging' accepted by AAAI 2025 (Dec 2024); IMMA and LTO accepted by ECCV 2024 (Jul 2024); Invited keynote speaker of T2MM @ICME 2024 (Jul 2024); IMMA selected as an oral presentation and awarded Best Paper Runner-up at AI4CC @CVPR 2024 (Jun 2024); Paper 'Graph Machine Learning through the Lens of Bilevel Optimization' accepted by AISTATS 2024 (Jan 2024); Received NeurIPS 2022 Scholar Award (Oct 2022); Paper 'Learning Manifold Dimensions with Conditional Variational Autoencoders' accepted by NeurIPS 2022 (Sep 2022).
Research Experience
  • Research Scientist Intern at Meta GenAI since May 2025, working with Xi Yin and Lu Liu on a large-scale video generation project; Research Intern at Apple Camera from Apr. 2024 to Sept. 2024, worked with Chen Chen; Applied Scientist Intern at Amazon Web Services from Feb. 2022 to Apr. 2024, worked with David Wipf and Tong He.
Education
  • Ph.D. Student in Computer Science at Purdue University since Aug. 2022, advised by Prof. Raymond A. Yeh; B.Sc. in Data Science from Shanghai University of Finance and Economics, Sept. 2018 - Jul. 2022, worked with Prof. Yixuan Qiu.
Background
  • Research interests include generative models, post-training for video and image generation, retrieval-augmented architectures, and model safety/immunization. Passionate about building scalable, controllable generative systems that are both high-fidelity and safe.
Miscellany
  • Invited keynote speaker at T2MM @ICME (Jul 2024); Oral presentation at AI for Content Creation Workshop @CVPR (Jun 2024); CFAR Rising Star speaker at Centre for Frontier AI Research, Singapore (Mar 2023); Awarded Shanghai Outstanding Graduate and Honours Degree at Shanghai University of Finance and Economics (Jun 2022).