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2020 – today
- 2024
[c7]Zhi-Fan Wu, Chaojie Mao, Xue Wang, Jianwen Jiang, Yiliang Lv, Rong Jin:
Structured Model Probing: Empowering Efficient Transfer Learning by Structured Regularization. CVPR 2024: 16838-16847- [c6]Yanheng Wei, Lianghua Huang, Zhi-Fan Wu, Wei Wang, Yu Liu, Mingda Jia, Shuailei Ma:
Chains of Diffusion Models. ECCV (72) 2024: 18-34 - [c5]Zhi-Fan Wu, Lianghua Huang, Wei Wang, Yanheng Wei, Yu Liu:
MultiGen: Zero-Shot Image Generation from Multi-modal Prompts. ECCV (8) 2024: 297-313 - [i7]Shilong Zhang, Lianghua Huang, Xi Chen, Yifei Zhang, Zhi-Fan Wu, Yutong Feng, Wei Wang, Yujun Shen, Yu Liu, Ping Luo:
FlashFace: Human Image Personalization with High-fidelity Identity Preservation. CoRR abs/2403.17008 (2024) - [i6]Lianghua Huang, Wei Wang, Zhi-Fan Wu, Huanzhang Dou, Yupeng Shi, Yutong Feng, Chen Liang, Yu Liu, Jingren Zhou:
Group Diffusion Transformers are Unsupervised Multitask Learners. CoRR abs/2410.15027 (2024) - [i5]Lianghua Huang, Wei Wang, Zhi-Fan Wu, Yupeng Shi, Huanzhang Dou, Chen Liang, Yutong Feng, Yu Liu, Jingren Zhou:
In-Context LoRA for Diffusion Transformers. CoRR abs/2410.23775 (2024) - [i4]Liang Chen, Lianghua Huang, Jingwu Fang, Huanzhang Dou, Wei Wang, Zhi-Fan Wu, Yupeng Shi, Junge Zhang, Xin Zhao, Yu Liu:
IDEA-Bench: How Far are Generative Models from Professional Designing? CoRR abs/2412.11767 (2024) - [i3]Lianghua Huang, Wei Wang, Zhi-Fan Wu, Yupeng Shi, Liang Chen, Tong Shen, Han Zhang, Huanzhang Dou, Yu Liu, Jingren Zhou:
ChatDiT: A Training-Free Baseline for Task-Agnostic Free-Form Chatting with Diffusion Transformers. CoRR abs/2412.12571 (2024) - 2022
- [c4]Lan-Zhe Guo, Yi-Ge Zhang, Zhi-Fan Wu, Jie-Jing Shao, Yufeng Li:
Robust Semi-Supervised Learning when Not All Classes have Labels. NeurIPS 2022 - [c3]Xinwei Zhang, Jianwen Jiang, Yutong Feng, Zhi-Fan Wu, Xibin Zhao, Hai Wan, Mingqian Tang, Rong Jin, Yue Gao:
Grow and Merge: A Unified Framework for Continuous Categories Discovery. NeurIPS 2022 - [i2]Xinwei Zhang, Jianwen Jiang, Yutong Feng, Zhi-Fan Wu, Xibin Zhao, Hai Wan, Mingqian Tang, Rong Jin, Yue Gao:
Grow and Merge: A Unified Framework for Continuous Categories Discovery. CoRR abs/2210.04174 (2022) - 2021
- [c2]Zhi-Fan Wu, Tong Wei, Jianwen Jiang, Chaojie Mao, Mingqian Tang, Yufeng Li:
NGC: A Unified Framework for Learning with Open-World Noisy Data. ICCV 2021: 62-71 - [i1]Zhi-Fan Wu, Tong Wei, Jianwen Jiang, Chaojie Mao, Mingqian Tang, Yufeng Li:
NGC: A Unified Framework for Learning with Open-World Noisy Data. CoRR abs/2108.11035 (2021) - 2020
- [c1]Zhi-Fan Wu, Yufeng Li:
Semi-Supervised Graph Embedding via Multi-instance Kernel Learning. BigComp 2020: 90-97
Coauthor Index
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