| 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 | ICCV | Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts. | Zixuan Hu, Dongxiao Li, Xinzhu Ma, Shixiang Tang, Xiaotong Li, Wenhan Yang, Ling-Yu Duan |
| 2025 | ICLR | Which Tasks Should Be Compressed Together? A Causal Discovery Approach for Efficient Multi-Task Representation Compression. | Sha Guo, Jing Chen, Zixuan Hu, Zhuo Chen, Wenhan Yang, Yu Lin, Xing Jiang, Lingyu Duan |
| 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 | Beyond Entropy: Region Confidence Proxy for Wild Test-Time Adaptation. | Zixuan Hu, Yichun Hu, Xiaotong Li, Shixiang Tang, Lingyu Duan |
| 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 | LEAD: Exploring Logit Space Evolution for Model Selection. | Zixuan Hu, Xiaotong Li, Shixiang Tang, Jun Liu, Yichun Hu, Ling-Yu Duan |
| 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 |
| 2024 | PG | StegaVideo: Robust High-Resolution Video Steganography with Temporal and Edge Guidance. | Kun Hu, Zixuan Hu, Qianhui Zhu, Xiaochao Wang, Xingjun Wang |
| 2023 | CVPR | Architecture, Dataset and Model-Scale Agnostic Data-free Meta-Learning. | Zixuan Hu, Li Shen, Zhenyi Wang, Tongliang Liu, Chun Yuan, Dacheng Tao |
| 2023 | ICCV | Exploring Model Transferability through the Lens of Potential Energy. | Xiaotong Li, Zixuan Hu, Yixiao Ge, Ying Shan, Ling-Yu Duan |
| 2023 | ICML | Learning to Learn from APIs: Black-Box Data-Free Meta-Learning. | Zixuan Hu, Li Shen, Zhenyi Wang, Baoyuan Wu, Chun Yuan, Dacheng Tao |
| 2022 | ECCV | mc-BEiT: Multi-choice Discretization for Image BERT Pre-training. | Xiaotong Li, Yixiao Ge, Kun Yi, Zixuan Hu, Ying Shan, Ling-Yu Duan |