Wei, Yongxian

8 publications

NeurIPS 2025 Adaptive Defense Against Harmful Fine-Tuning for Large Language Models via Bayesian Data Scheduler Zixuan Hu, Li Shen, Zhenyi Wang, Yongxian Wei, Dacheng Tao

CVPR 2025 LoRA Recycle: Unlocking Tuning-Free Few-Shot Adaptability in Visual Foundation Models by Recycling Pre-Tuned LoRAs Zixuan Hu, Yongxian Wei, Li Shen, Chun Yuan, Dacheng Tao

ICML 2025 Modeling Multi-Task Model Merging as Adaptive Projective Gradient Descent Yongxian Wei, Anke Tang, Li Shen, Zixuan Hu, Chun Yuan, Xiaochun Cao

ICLR 2025 Open-Vocabulary Customization from CLIP via Data-Free Knowledge Distillation Yongxian Wei, Zixuan Hu, Li Shen, Zhenyi Wang, Chun Yuan, Dacheng Tao

ICML 2025 Whoever Started the Interference Should End It: Guiding Data-Free Model Merging via Task Vectors Runxi Cheng, Feng Xiong, Yongxian Wei, Wanyun Zhu, Chun Yuan

CVPR 2024 FREE: Faster and Better Data-Free Meta-Learning Yongxian Wei, Zixuan Hu, Zhenyi Wang, Li Shen, Chun Yuan, Dacheng Tao

ICML 2024 Sparse Model Inversion: Efficient Inversion of Vision Transformers for Data-Free Applications Zixuan Hu, Yongxian Wei, Li Shen, Zhenyi Wang, Lei Li, Chun Yuan, Dacheng Tao

ICML 2024 Task Groupings Regularization: Data-Free Meta-Learning with Heterogeneous Pre-Trained Models Yongxian Wei, Zixuan Hu, Li Shen, Zhenyi Wang, Yu Li, Chun Yuan, Dacheng Tao