Wei, Yongxian

9 publications

ICLR 2026 OptMerge: Unifying Multimodal LLM Capabilities and Modalities via Model Merging Yongxian Wei, Runxi Cheng, Weike Jin, Enneng Yang, Li Shen, Lu Hou, SiNan Du, Chun Yuan, Xiaochun Cao, Dacheng Tao

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