Zero-Shot Object Detection with Multi-label Context. - Yongxian Wei; Yong Ma (SEKE, 2022)

Task-Distributionally Robust Data-Free Meta-Learning. - Zixuan Hu; Li Shen 008; Zhenyi Wang 001; Yongxian Wei; Baoyuan Wu; Chun Yuan; Dacheng Tao (CoRR, 2023)

Free: Faster and Better Data-Free Meta-Learning. - Yongxian Wei; Zixuan Hu; Zhenyi Wang 001; Li Shen 008; Chun Yuan; Dacheng Tao (CVPR, 2024)

Sparse Model Inversion: Efficient Inversion of Vision Transformers for Data-Free Applications. - Zixuan Hu; Yongxian Wei; Li Shen 008; Zhenyi Wang 001; Lei Li 051; Chun Yuan; Dacheng Tao (ICML, 2024)

Task Groupings Regularization: Data-Free Meta-Learning with Heterogeneous Pre-trained Models. - Yongxian Wei; Zixuan Hu; Li Shen 008; Zhenyi Wang 001; Yu Li 006; Chun Yuan; Dacheng Tao (ICML, 2024)

Learn To Learn More Precisely. - Runxi Cheng; Yongxian Wei; Xianglong He; Wanyun Zhu; Songsong Huang; Fei Richard Yu; Fei Ma 006; Chun Yuan (CoRR, 2024)

Unlocking Tuning-Free Few-Shot Adaptability in Visual Foundation Models by Recycling Pre-Tuned LoRAs. - Zixuan Hu; Yongxian Wei; Li Shen 008; Chun Yuan; Dacheng Tao (CoRR, 2024)

Task-specific Part Discovery for Fine-grained Few-shot Classification. - Yongxian Wei; Xiu-Shen Wei (Mach. Intell. Res., 2024)

Meta-Learning Without Data via Unconditional Diffusion Models. - Yongxian Wei; Zixuan Hu; Li Shen 008; Zhenyi Wang 001; Lei Li 051; Yu Li 006; Chun Yuan (IEEE Trans. Circuits Syst. Video Technol., 2024)

LoRA Recycle: Unlocking Tuning-Free Few-Shot Adaptability in Visual Foundation Models by Recycling Pre-Tuned LoRAs. - Zixuan Hu; Yongxian Wei; Li Shen 008; Chun Yuan; Dacheng Tao (CVPR, 2025)

Open-Vocabulary Customization from CLIP via Data-Free Knowledge Distillation. - Yongxian Wei; Zixuan Hu; Li Shen 008; Zhenyi Wang 001; Chun Yuan; Dacheng Tao (ICLR, 2025)

Modeling Multi-Task Model Merging as Adaptive Projective Gradient Descent. - Yongxian Wei; Anke Tang; Li Shen 008; Chun Yuan; Xiaochun Cao (CoRR, 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 (CoRR, 2025)

Unifying Multimodal Large Language Model Capabilities and Modalities via Model Merging. - Yongxian Wei; Runxi Cheng; Weike Jin; Enneng Yang; Li Shen 008; Lu Hou; Sinan Du; Chun Yuan; Xiaochun Cao; Dacheng Tao (CoRR, 2025)

Prune&Comp: Free Lunch for Layer-Pruned LLMs via Iterative Pruning with Magnitude Compensation. - Xinrui Chen 001; Hongxing Zhang; Fanyi Zeng; Yongxian Wei; Yizhi Wang; Xitong Ling; Guanghao Li; Chun Yuan (CoRR, 2025)