Learning Manifold Dimensions with Conditional Variational Autoencoders. - Yijia Zheng 001; Tong He 002; Yixuan Qiu; David P. Wipf (NeurIPS, 2022)

Graph Machine Learning through the Lens of Bilevel Optimization. - Amber Yijia Zheng; Tong He 002; Yixuan Qiu; Minjie Wang; David Wipf (AISTATS, 2024)

IMMA: Immunizing Text-to-Image Models Against Malicious Adaptation. - Amber Yijia Zheng; Raymond A. Yeh (ECCV (39), 2024)

Learning to Obstruct Few-Shot Image Classification over Restricted Classes. - Amber Yijia Zheng; Chiao-An Yang; Raymond A. Yeh (ECCV (20), 2024)

BloomGML: Graph Machine Learning through the Lens of Bilevel Optimization. - Amber Yijia Zheng; Tong He 002; Yixuan Qiu; Minjie Wang; David Wipf (CoRR, 2024)

Multi-concept Model Immunization through Differentiable Model Merging. - Amber Yijia Zheng; Raymond A. Yeh (AAAI, 2025)

CFG-Zero*: Improved Classifier-Free Guidance for Flow Matching Models. - Weichen Fan; Amber Yijia Zheng; Raymond A. Yeh; Ziwei Liu 002 (CoRR, 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 003 (CoRR, 2025)

Model Immunization from a Condition Number Perspective. - Amber Yijia Zheng; Cedar Site Bai; Brian Bullins; Raymond A. Yeh (CoRR, 2025)