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Amber Yijia Zheng
Person information
- affiliation: Purdue University, Department of Computer Science, West Lafayette, IN, USA
Other persons with the same name
- Yijia Zheng — disambiguation page
- Yijia Zheng 0002
— Peking University, Academy for Advanced Interdisciplinary Studies, Beijing, China
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2020 – today
- 2026
[i10]Amber Yijia Zheng, Jae Joong Lee, Bedrich Benes, Raymond A. Yeh:
WebAccessVL: Making an Accessible Web via Violation-Conditioned VLM. CoRR abs/2602.03850 (2026)- 2025
[c6]Amber Yijia Zheng, Raymond A. Yeh:
Multi-concept Model Immunization through Differentiable Model Merging. AAAI 2025: 10546-10554
[c5]Amber Yijia Zheng, Site Bai, Brian Bullins, Raymond A. Yeh:
Model Immunization from a Condition Number Perspective. ICML 2025
[i9]Weichen Fan, Amber Yijia Zheng, Raymond A. Yeh, Ziwei Liu:
CFG-Zero*: Improved Classifier-Free Guidance for Flow Matching Models. CoRR abs/2503.18886 (2025)
[i8]Amber Yijia Zheng, Yu Zhang, Jun Hu, Raymond A. Yeh, Chen Chen:
DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP. CoRR abs/2505.23743 (2025)
[i7]Amber Yijia Zheng, Cedar Site Bai, Brian Bullins, Raymond A. Yeh:
Model Immunization from a Condition Number Perspective. CoRR abs/2505.23760 (2025)
[i6]Qin Shi, Amber Yijia Zheng, Qifan Song, Raymond A. Yeh:
Knowledge Distillation Detection for Open-weights Models. CoRR abs/2510.02302 (2025)- 2024
[c4]Amber Yijia Zheng, Tong He, Yixuan Qiu, Minjie Wang, David Wipf:
Graph Machine Learning through the Lens of Bilevel Optimization. AISTATS 2024: 982-990
[c3]Amber Yijia Zheng, Chiao-An Yang, Raymond A. Yeh:
Learning to Obstruct Few-Shot Image Classification over Restricted Classes. ECCV (20) 2024: 20-37
[c2]Amber Yijia Zheng, Raymond A. Yeh:
IMMA: Immunizing Text-to-Image Models Against Malicious Adaptation. ECCV (39) 2024: 458-475
[i5]Amber Yijia Zheng, Tong He, Yixuan Qiu, Minjie Wang, David Wipf:
BloomGML: Graph Machine Learning through the Lens of Bilevel Optimization. CoRR abs/2403.04763 (2024)
[i4]Amber Yijia Zheng, Chiao-An Yang, Raymond A. Yeh:
Learning to Obstruct Few-Shot Image Classification over Restricted Classes. CoRR abs/2409.19210 (2024)
[i3]Amber Yijia Zheng, Raymond A. Yeh:
Multi-concept Model Immunization through Differentiable Model Merging. CoRR abs/2412.15320 (2024)- 2023
[i2]Yijia Zheng, Tong He, Yixuan Qiu, David Wipf:
Learning Manifold Dimensions with Conditional Variational Autoencoders. CoRR abs/2302.11756 (2023)
[i1]Yijia Zheng, Raymond A. Yeh:
IMMA: Immunizing text-to-image Models against Malicious Adaptation. CoRR abs/2311.18815 (2023)- 2022
[c1]Yijia Zheng, Tong He, Yixuan Qiu, David P. Wipf:
Learning Manifold Dimensions with Conditional Variational Autoencoders. NeurIPS 2022
Coauthor Index

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last updated on 2026-03-15 00:08 CET by the dblp team
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