| 2025 | ICLR | Easing Training Process of Rectified Flow Models Via Lengthening Inter-Path Distance. | Shifeng Xu, Yanzhu Liu, Adams Wai-Kin Kong |
| 2024 | CVPR | MACE: Mass Concept Erasure in Diffusion Models. | Shilin Lu, Zilan Wang, Leyang Li, Yanzhu Liu, Adams Wai-Kin Kong |
| 2023 | AAAI | Counterfactual Dynamics Forecasting - a New Setting of Quantitative Reasoning. | Yanzhu Liu, Ying Sun, Joo-Hwee Lim |
| 2023 | ICCV | TF-ICON: Diffusion-Based Training-Free Cross-Domain Image Composition. | Shilin Lu, Yanzhu Liu, Adams Wai-Kin Kong |
| 2019 | ICCV | Probabilistic Deep Ordinal Regression Based on Gaussian Processes. | Yanzhu Liu, Fan Wang, Adams Wai-Kin Kong |
| 2018 | CVPR | A Constrained Deep Neural Network for Ordinal Regression. | Yanzhu Liu, Adams Wai-Kin Kong, Chi Keong Goh |
| 2017 | IJCAI | Deep Ordinal Regression Based on Data Relationship for Small Datasets. | Yanzhu Liu, Adams Wai-Kin Kong, Chi Keong Goh |
| 2015 | ICA3PP | Distributed Authentication in the Cloud Computing Environment. | Yanzhu Liu, Zhi Li, Yuxia Sun |
| 2009 | CIKM | Heterogeneous cross domain ranking in latent space. | Bo Wang, Jie Tang, Wei Fan, Songcan Chen, Zi Yang, Yanzhu Liu |