Amber Yijia Zheng

14 papers A* 2A 1Journal 9Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Designing to Forget: Deep Semi-parametric Models for Unlearning.
CoRR
Amber Yijia Zheng, Yu-Shan Tai, Raymond A. Yeh
2026 J jnl
WebAccessVL: Making an Accessible Web via Violation-Conditioned VLM.
CoRR
Amber Yijia Zheng, Jae Joong Lee, Bedrich Benes, Raymond A. Yeh
2025 J jnl
CFG-Zero*: Improved Classifier-Free Guidance for Flow Matching Models.
CoRR
Weichen Fan, Amber Yijia Zheng, Raymond A. Yeh, Ziwei Liu
2025 J jnl
DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP.
CoRR
Amber Yijia Zheng, Yu Zhang, Jun Hu, Raymond A. Yeh, Chen Chen
2025 J jnl
Knowledge Distillation Detection for Open-weights Models.
CoRR
Qin Shi, Amber Yijia Zheng, Qifan Song, Raymond A. Yeh
2025 A* conf
Model Immunization from a Condition Number Perspective.
ICML
Amber Yijia Zheng, Site Bai, Brian Bullins, Raymond A. Yeh
2025 J jnl
Model Immunization from a Condition Number Perspective.
CoRR
Amber Yijia Zheng, Cedar Site Bai, Brian Bullins, Raymond A. Yeh
2025 A* conf
Multi-concept Model Immunization through Differentiable Model Merging.
AAAI
Amber Yijia Zheng, Raymond A. Yeh
2024 J jnl
BloomGML: Graph Machine Learning through the Lens of Bilevel Optimization.
CoRR
Amber Yijia Zheng, Tong He, Yixuan Qiu, Minjie Wang, David Wipf
2024 A conf
Graph Machine Learning through the Lens of Bilevel Optimization.
AISTATS
Amber Yijia Zheng, Tong He, Yixuan Qiu, Minjie Wang, David Wipf
2024 — conf
IMMA: Immunizing Text-to-Image Models Against Malicious Adaptation.
ECCV (39)
Amber Yijia Zheng, Raymond A. Yeh
2024 — conf
Learning to Obstruct Few-Shot Image Classification over Restricted Classes.
ECCV (20)
Amber Yijia Zheng, Chiao-An Yang, Raymond A. Yeh
2024 J jnl
Learning to Obstruct Few-Shot Image Classification over Restricted Classes.
CoRR
Amber Yijia Zheng, Chiao-An Yang, Raymond A. Yeh
2024 J jnl
Multi-concept Model Immunization through Differentiable Model Merging.
CoRR
Amber Yijia Zheng, Raymond A. Yeh