Zhang, Fengda

7 publications

ICML 2025 D-Fusion: Direct Preference Optimization for Aligning Diffusion Models with Visually Consistent Samples Zijing Hu, Fengda Zhang, Kun Kuang

ICCV 2025 Decoding Correlation-Induced Misalignment in the Stable Diffusion Workflow for Text-to-Image Generation Yunze Tong, Fengda Zhang, Didi Zhu, Jun Xiao, Kun Kuang

ICML 2025 Latent Score-Based Reweighting for Robust Classification on Imbalanced Tabular Data Yunze Tong, Fengda Zhang, Zihao Tang, Kaifeng Gao, Kai Huang, Pengfei Lyu, Jun Xiao, Kun Kuang

CVPR 2025 Towards Better Alignment: Training Diffusion Models with Reinforcement Learning Against Sparse Rewards Zijing Hu, Fengda Zhang, Long Chen, Kun Kuang, Jiahui Li, Kaifeng Gao, Jun Xiao, Xin Wang, Wenwu Zhu

CVPR 2024 Distributionally Generative Augmentation for Fair Facial Attribute Classification Fengda Zhang, Qianpei He, Kun Kuang, Jiashuo Liu, Long Chen, Chao Wu, Jun Xiao, Hanwang Zhang

ICLR 2023 Fairness-Aware Contrastive Learning with Partially Annotated Sensitive Attributes Fengda Zhang, Kun Kuang, Long Chen, Yuxuan Liu, Chao Wu, Jun Xiao

ICMLW 2022 Towards Multi-Level Fairness and Robustness on Federated Learning Fengda Zhang, Kun Kuang, Yuxuan Liu, Long Chen, Jiaxun Lu, Yunfeng Shao, Fei Wu, Chao Wu, Jun Xiao