Yongxian Wei

According to our database, Yongxian Wei authored at least 22 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Memory Grafting: Scaling Language Model Pre-training via Offline Conditional Memory.

Runxi Cheng, Yuchen Guan, Yongxian Wei, Qianpu Sun, Qixiu Li, Sinan Du, Feng Xiong, Chun Yuan, Yan Lu, Yeyun Gong

CoRR, May, 2026

Task-Distributionally Robust Data-Free Meta-Learning.

Zixuan Hu, Yongxian Wei, Li Shen, Zhenyi Wang, Baoyuan Wu, Chun Yuan, Dacheng Tao

IEEE Trans. Pattern Anal. Mach. Intell., January, 2026

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

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

VQRAE: Representation Quantization Autoencoders for Multimodal Understanding, Generation and Reconstruction.

Sinan Du, Jiahao Guo, Bo Li, Shuhao Cui, Zhengzhuo Xu, Yifu Luo, Yongxian Wei, Kun Gai, Xinggang Wang, Kai Wu, Chun Yuan

CoRR, November, 2025

OmniAlpha: A Sequence-to-Sequence Framework for Unified Multi-Task RGBA Generation.

Hao Yu, Jiabo Zhan, Zile Wang, Jinglin Wang, Huaisong Zhang, Hongyu Li, Xinrui Chen, Yongxian Wei, Chun Yuan

CoRR, November, 2025

Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis for Large Reasoning Models.

Yongxian Wei, Yilin Zhao, Li Shen, Xinrui Chen, Runxi Cheng, Sinan Du, Hao Yu, Gang Liu, Jiahong Yan, Chun Yuan, Dian Li

CoRR, November, 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

CoRR, October, 2025

Mixture of Neuron Experts.

Runxi Cheng, Yuchen Guan, Yucheng Ding, Qingguo Hu, Yongxian Wei, Chun Yuan, Yelong Shen, Weizhu Chen, Yeyun Gong

CoRR, October, 2025

Unifying Multimodal Large Language Model 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

CoRR, May, 2025

Modeling Multi-Task Model Merging as Adaptive Projective Gradient Descent.

Yongxian Wei, Anke Tang, Li Shen, Chun Yuan, Xiaochun Cao

CoRR, January, 2025

Modeling Multi-Task Model Merging as Adaptive Projective Gradient Descent.

Yongxian Wei, Anke Tang, Li Shen, Zixuan Hu, Chun Yuan, Xiaochun Cao

Proceedings of the Forty-second International Conference on Machine Learning, 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

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Open-Vocabulary Customization from CLIP via Data-Free Knowledge Distillation.

Yongxian Wei, Zixuan Hu, Li Shen, Zhenyi Wang, Chun Yuan, Dacheng Tao

Proceedings of the Thirteenth International Conference on Learning Representations, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Meta-Learning Without Data via Unconditional Diffusion Models.

Yongxian Wei, Zixuan Hu, Li Shen, Zhenyi Wang, Lei Li, Yu Li, Chun Yuan

IEEE Trans. Circuits Syst. Video Technol., November, 2024

Task-specific Part Discovery for Fine-grained Few-shot Classification.

Yongxian Wei, Xiu-Shen Wei

Mach. Intell. Res., October, 2024

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

CoRR, 2024

Learn To Learn More Precisely.

Runxi Cheng, Yongxian Wei, Xianglong He, Wanyun Zhu, Songsong Huang, Fei Richard Yu, Fei Ma, Chun Yuan

CoRR, 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

Proceedings of the Forty-first International Conference on Machine Learning, 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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Free: Faster and Better Data-Free Meta-Learning.

Yongxian Wei, Zixuan Hu, Zhenyi Wang, Li Shen, Chun Yuan, Dacheng Tao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2022

Zero-Shot Object Detection with Multi-label Context.

Yongxian Wei, Yong Ma

Proceedings of the 34th International Conference on Software Engineering and Knowledge Engineering, 2022