| 2026 | AAAI | Prune&Comp: Free Lunch for Layer-Pruned LLMs via Iterative Pruning with Magnitude Compensation. | Xinrui Chen, Hongxing Zhang, Fanyi Zeng, Yongxian Wei, Yizhi Wang, Xitong Ling, Guanghao Li, Chun Yuan |
| 2025 | CVPR | 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 |
| 2025 | ICLR | Open-Vocabulary Customization from CLIP via Data-Free Knowledge Distillation. | Yongxian Wei, Zixuan Hu, Li Shen, Zhenyi Wang, Chun Yuan, Dacheng Tao |
| 2025 | ICML | 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 |
| 2025 | ICML | Modeling Multi-Task Model Merging as Adaptive Projective Gradient Descent. | Yongxian Wei, Anke Tang, Li Shen, Zixuan Hu, Chun Yuan, Xiaochun Cao |
| 2024 | CVPR | Free: Faster and Better Data-Free Meta-Learning. | Yongxian Wei, Zixuan Hu, Zhenyi Wang, Li Shen, Chun Yuan, Dacheng Tao |
| 2024 | ICML | 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 |
| 2024 | ICML | 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 |
| 2022 | SEKE | Zero-Shot Object Detection with Multi-label Context. | Yongxian Wei, Yong Ma |