Chen Liu

According to our database, Chen Liu authored at least 15 papers between 2019 and 2025.

Collaborative distances:

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

2025

When Preferences Diverge: Aligning Diffusion Models with Minority-Aware Adaptive DPO.

Lingfan Zhang, Chen Liu, Chengming Xu, Kai Hu, Donghao Luo, Chengjie Wang, Yanwei Fu, Yuan Yao

CoRR, March, 2025

2024

Towards Global Optimal Visual In-Context Learning Prompt Selection.

Chengming Xu, Chen Liu, Yikai Wang, Yanwei Fu

CoRR, 2024

A Generalization Theory of Cross-Modality Distillation with Contrastive Learning.

Hangyu Lin, Chen Liu, Chengming Xu, Zhengqi Gao, Yanwei Fu, Yuan Yao

CoRR, 2024

Towards Global Optimal Visual In-Context Learning Prompt Selection.

Chengming Xu, Chen Liu, Yikai Wang, Yuan Yao, Yanwei Fu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

PatchMix Augmentation to Identify Causal Features in Few-Shot Learning.

Chengming Xu, Chen Liu, Xinwei Sun, Siqian Yang, Yabiao Wang, Chengjie Wang, Yanwei Fu

IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

Exploring Structural Sparsity of Deep Networks Via Inverse Scale Spaces.

Yanwei Fu, Chen Liu, Donghao Li, Zuyuan Zhong, Xinwei Sun, Jinshan Zeng, Yuan Yao

IEEE Trans. Pattern Anal. Mach. Intell., 2023

Optimal Sample Selection Through Uncertainty Estimation and Its Application in Deep Learning.

Yong Lin, Chen Liu, Chenlu Ye, Qing Lian, Yuan Yao, Tong Zhang

CoRR, 2023

2022

Split-PU: Hardness-aware Training Strategy for Positive-Unlabeled Learning.

Chengming Xu, Chen Liu, Siqian Yang, Yabiao Wang, Shijie Zhang, Lijie Jia, Yanwei Fu

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

2021

Learning Dynamic Alignment via Meta-Filter for Few-Shot Learning.

Chengming Xu, Yanwei Fu, Chen Liu, Chengjie Wang, Jilin Li, Feiyue Huang, Li Zhang, Xiangyang Xue

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Adaptive End-to-End Budgeted Network Learning via Inverse Scale Space.

Zuyuan Zhong, Chen Liu, Yanwei Fu

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Learning a Few-shot Embedding Model with Contrastive Learning.

Chen Liu, Yanwei Fu, Chengming Xu, Siqian Yang, Jilin Li, Chengjie Wang, Li Zhang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

DessiLBI: Exploring Structural Sparsity of Deep Networks via Differential Inclusion Paths.

Yanwei Fu, Chen Liu, Donghao Li, Xinwei Sun, Jinshan Zeng, Yuan Yao

Proceedings of the 37th International Conference on Machine Learning, 2020

Instance Credibility Inference for Few-Shot Learning.

Yikai Wang, Chengming Xu, Chen Liu, Li Zhang, Yanwei Fu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

An Embarrassingly Simple Baseline to One-shot Learning.

Chen Liu, Chengming Xu, Yikai Wang, Li Zhang, Yanwei Fu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Parsimonious Deep Learning: A Differential Inclusion Approach with Global Convergence.

Yanwei Fu, Chen Liu, Donghao Li, Xinwei Sun, Jinshan Zeng, Yuan Yao

CoRR, 2019