Yongxian Wei

Venues

Frequent coauthors

Papers

1. Prune&Comp: Free Lunch for Layer-Pruned LLMs via Iterative Pruning with Magnitude Compensation
   AAAI 2026 ·

   Xinrui Chen

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2. Adaptive Defense against Harmful Fine-Tuning for Large Language Models via Bayesian Data Scheduler
   NeurIPS 2025 ·

   Zixuan Hu

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3. LoRA Recycle: Unlocking Tuning-Free Few-Shot Adaptability in Visual Foundation Models by Recycling Pre-Tuned LoRAs
   CVPR 2025 ·

   Zixuan Hu

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4. Modeling Multi-Task Model Merging as Adaptive Projective Gradient Descent
   ICML 2025 · Yongxian Wei
5. Open-Vocabulary Customization from CLIP via Data-Free Knowledge Distillation
   ICLR 2025 · Yongxian Wei
6. Whoever Started the interference Should End It: Guiding Data-Free Model Merging via Task Vectors
   ICML 2025 ·

   Runxi Cheng

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7. Free: Faster and Better Data-Free Meta-Learning
   CVPR 2024 · Yongxian Wei
8. Sparse Model Inversion: Efficient Inversion of Vision Transformers for Data-Free Applications
   ICML 2024 ·

   Zixuan Hu

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9. Task Groupings Regularization: Data-Free Meta-Learning with Heterogeneous Pre-trained Models
   ICML 2024 · Yongxian Wei