Liu, Yanzhu

7 publications

ICLR 2025 Easing Training Process of Rectified Flow Models via Lengthening Inter-Path Distance Xu Shifeng, Yanzhu Liu, Adams Wai-Kin Kong

CVPR 2024 MACE: Mass Concept Erasure in Diffusion Models Shilin Lu, Zilan Wang, Leyang Li, Yanzhu Liu, Adams Wai-Kin Kong

AAAI 2023 Counterfactual Dynamics Forecasting - A New Setting of Quantitative Reasoning Yanzhu Liu, Ying Sun, Joo-Hwee Lim

ICCV 2023 TF-ICON: Diffusion-Based Training-Free Cross-Domain Image Composition Shilin Lu, Yanzhu Liu, Adams Wai-Kin Kong

ICCV 2019 Probabilistic Deep Ordinal Regression Based on Gaussian Processes Yanzhu Liu, Fan Wang, Adams Wai Kin Kong

CVPR 2018 A Constrained Deep Neural Network for Ordinal Regression Yanzhu Liu, Adams Wai Kin Kong, Chi Keong Goh

IJCAI 2017 Deep Ordinal Regression Based on Data Relationship for Small Datasets Yanzhu Liu, Adams Wai-Kin Kong, Chi Keong Goh