Amber Yijia Zheng

According to our database, Amber Yijia Zheng authored at least 12 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Designing to Forget: Deep Semi-parametric Models for Unlearning.

Amber Yijia Zheng, Yu-Shan Tai, Raymond A. Yeh

CoRR, March, 2026

WebAccessVL: Making an Accessible Web via Violation-Conditioned VLM.

Amber Yijia Zheng, Jae Joong Lee, Bedrich Benes, Raymond A. Yeh

CoRR, February, 2026

2025

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP.

Amber Yijia Zheng, Yu Zhang, Jun Hu, Raymond A. Yeh, Chen Chen

CoRR, May, 2025

CFG-Zero*: Improved Classifier-Free Guidance for Flow Matching Models.

Weichen Fan, Amber Yijia Zheng, Raymond A. Yeh, Ziwei Liu

CoRR, March, 2025

Knowledge Distillation Detection for Open-weights Models.

Qin Shi, Amber Yijia Zheng, Qifan Song, Raymond A. Yeh

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Model Immunization from a Condition Number Perspective.

Amber Yijia Zheng, Site Bai, Brian Bullins, Raymond A. Yeh

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Multi-concept Model Immunization through Differentiable Model Merging.

Amber Yijia Zheng, Raymond A. Yeh

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

BloomGML: Graph Machine Learning through the Lens of Bilevel Optimization.

Amber Yijia Zheng, Tong He, Yixuan Qiu, Minjie Wang, David Wipf

CoRR, 2024

Learning to Obstruct Few-Shot Image Classification over Restricted Classes.

Amber Yijia Zheng, Chiao-An Yang, Raymond A. Yeh

Proceedings of the Computer Vision - ECCV 2024, 2024

IMMA: Immunizing Text-to-Image Models Against Malicious Adaptation.

Amber Yijia Zheng, Raymond A. Yeh

Proceedings of the Computer Vision - ECCV 2024, 2024

Graph Machine Learning through the Lens of Bilevel Optimization.

Amber Yijia Zheng, Tong He, Yixuan Qiu, Minjie Wang, David Wipf

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2022

Learning Manifold Dimensions with Conditional Variational Autoencoders.

Yijia Zheng, Tong He, Yixuan Qiu, David P. Wipf

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022