Semi-Supervised Graph Embedding via Multi-instance Kernel Learning. - Zhi-Fan Wu; Yufeng Li 008 (BigComp, 2020)

NGC: A Unified Framework for Learning with Open-World Noisy Data. - Zhi-Fan Wu; Tong Wei 001; Jianwen Jiang; Chaojie Mao; Mingqian Tang; Yufeng Li 008 (ICCV, 2021)

Robust Semi-Supervised Learning when Not All Classes have Labels. - Lan-Zhe Guo; Yi-Ge Zhang; Zhi-Fan Wu; Jie-Jing Shao; Yufeng Li 008 (NeurIPS, 2022)

Grow and Merge: A Unified Framework for Continuous Categories Discovery. - Xinwei Zhang; Jianwen Jiang; Yutong Feng; Zhi-Fan Wu; Xibin Zhao; Hai Wan; Mingqian Tang; Rong Jin 001; Yue Gao 002 (NeurIPS, 2022)

Structured Model Probing: Empowering Efficient Transfer Learning by Structured Regularization. - Zhi-Fan Wu; Chaojie Mao; Xue Wang 010; Jianwen Jiang; Yiliang Lv; Rong Jin 001 (CVPR, 2024)

Chains of Diffusion Models. - Yanheng Wei; Lianghua Huang; Zhi-Fan Wu; Wei Wang 354; Yu Liu; Mingda Jia; Shuailei Ma (ECCV (72), 2024)

MultiGen: Zero-Shot Image Generation from Multi-modal Prompts. - Zhi-Fan Wu; Lianghua Huang; Wei Wang 354; Yanheng Wei; Yu Liu (ECCV (8), 2024)

FlashFace: Human Image Personalization with High-fidelity Identity Preservation. - Shilong Zhang; Lianghua Huang; Xi Chen; Yifei Zhang; Zhi-Fan Wu; Yutong Feng; Wei Wang 354; Yujun Shen; Yu Liu 015; Ping Luo 002 (CoRR, 2024)

Group Diffusion Transformers are Unsupervised Multitask Learners. - Lianghua Huang; Wei Wang 354; Zhi-Fan Wu; Huanzhang Dou; Yupeng Shi; Yutong Feng; Chen Liang; Yu Liu 063; Jingren Zhou 001 (CoRR, 2024)

In-Context LoRA for Diffusion Transformers. - Lianghua Huang; Wei Wang 354; Zhi-Fan Wu; Yupeng Shi; Huanzhang Dou; Chen Liang; Yutong Feng; Yu Liu 063; Jingren Zhou 001 (CoRR, 2024)

IDEA-Bench: How Far are Generative Models from Professional Designing? - Liang Chen; Lianghua Huang; Jingwu Fang; Huanzhang Dou; Wei Wang 354; Zhi-Fan Wu; Yupeng Shi; Junge Zhang; Xin Zhao 012; Yu Liu 063 (CoRR, 2024)

ChatDiT: A Training-Free Baseline for Task-Agnostic Free-Form Chatting with Diffusion Transformers. - Lianghua Huang; Wei Wang 354; Zhi-Fan Wu; Yupeng Shi; Liang Chen; Tong Shen; Han Zhang 010; Huanzhang Dou; Yu Liu 063; Jingren Zhou 001 (CoRR, 2024)

IDEA-Bench: How Far are Generative Models from Professional Designing? - Chen Liang; Lianghua Huang; Jingwu Fang; Huanzhang Dou; Wei Wang; Zhi-Fan Wu; Yupeng Shi; Junge Zhang; Xin Zhao; Yu Liu (CVPR, 2025)

Wan: Open and Advanced Large-Scale Video Generative Models. - Ang Wang; Baole Ai; Bin Wen; Chaojie Mao; Chen-Wei Xie; Di Chen; Feiwu Yu; Haiming Zhao; Jianxiao Yang; Jianyuan Zeng; Jiayu Wang; Jingfeng Zhang; et al. (CoRR, 2025)