Chen Liu

23 papers A* 6A 1Journal 15Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Dual-Domain Teacher for Unsupervised Domain Adaptation Detection.
IEEE Trans. Multim.
Fei Wang, Luhui Zhao, Shijie Hong, Zhe Wang, Chen Liu, Changxin Gao, Jinsheng Li, Xin Li, Dapeng Luo
2025 J jnl
Optimal Sample Selection Through Uncertainty Estimation and Its Application in Deep Learning.
J. Mach. Learn. Res.
Yong Lin, Chen Liu, Chenlu Ye, Qing Lian, Yuan Yao, Tong Zhang
2025 J jnl
Towards Reliable and Holistic Visual In-Context Learning Prompt Selection.
CoRR
Wenxiao Wu, Jing-Hao Xue, Chengming Xu, Chen Liu, Xinwei Sun, Changxin Gao, Nong Sang, Yanwei Fu
2025 J jnl
When Preferences Diverge: Aligning Diffusion Models with Minority-Aware Adaptive DPO.
CoRR
Lingfan Zhang, Chen Liu, Chengming Xu, Kai Hu, Donghao Luo, Chengjie Wang, Yanwei Fu, Yuan Yao
2024 J jnl
A Generalization Theory of Cross-Modality Distillation with Contrastive Learning.
CoRR
Hangyu Lin, Chen Liu, Chengming Xu, Zhengqi Gao, Yanwei Fu, Yuan Yao
2024 A* conf
Towards Global Optimal Visual In-Context Learning Prompt Selection.
NeurIPS
Chengming Xu, Chen Liu, Yikai Wang, Yuan Yao, Yanwei Fu
2024 J jnl
Towards Global Optimal Visual In-Context Learning Prompt Selection.
CoRR
Chengming Xu, Chen Liu, Yikai Wang, Yanwei Fu
2023 J jnl
Exploring Structural Sparsity of Deep Networks Via Inverse Scale Spaces.
IEEE Trans. Pattern Anal. Mach. Intell.
Yanwei Fu, Chen Liu, Donghao Li, Zuyuan Zhong, Xinwei Sun, Jinshan Zeng, Yuan Yao
2023 J jnl
Optimal Sample Selection Through Uncertainty Estimation and Its Application in Deep Learning.
CoRR
Yong Lin, Chen Liu, Chenlu Ye, Qing Lian, Yuan Yao, Tong Zhang
2023 J jnl
PatchMix Augmentation to Identify Causal Features in Few-Shot Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Chengming Xu, Chen Liu, Xinwei Sun, Siqian Yang, Yabiao Wang, Chengjie Wang, Yanwei Fu
2022 J jnl
PatchMix Augmentation to Identify Causal Features in Few-shot Learning.
CoRR
Chengming Xu, Chen Liu, Xinwei Sun, Siqian Yang, Yabiao Wang, Chengjie Wang, Yanwei Fu
2022 A* conf
Split-PU: Hardness-aware Training Strategy for Positive-Unlabeled Learning.
ACM Multimedia
Chengming Xu, Chen Liu, Siqian Yang, Yabiao Wang, Shijie Zhang, Lijie Jia, Yanwei Fu
2022 J jnl
Split-PU: Hardness-aware Training Strategy for Positive-Unlabeled Learning.
CoRR
Chengming Xu, Chen Liu, Siqian Yang, Yabiao Wang, Shijie Zhang, Lijie Jia, Yanwei Fu
2021 A conf
Adaptive End-to-End Budgeted Network Learning via Inverse Scale Space.
BMVC
Zuyuan Zhong, Chen Liu, Yanwei Fu
2021 A* conf
Learning Dynamic Alignment via Meta-Filter for Few-Shot Learning.
CVPR
Chengming Xu, Yanwei Fu, Chen Liu, Chengjie Wang, Jilin Li, Feiyue Huang, Li Zhang, Xiangyang Xue
2021 J jnl
Learning Dynamic Alignment via Meta-filter for Few-shot Learning.
CoRR
Chengming Xu, Chen Liu, Li Zhang, Chengjie Wang, Jilin Li, Feiyue Huang, Xiangyang Xue, Yanwei Fu
2021 A* conf
Learning a Few-shot Embedding Model with Contrastive Learning.
AAAI
Chen Liu, Yanwei Fu, Chengming Xu, Siqian Yang, Jilin Li, Chengjie Wang, Li Zhang
2020 — conf
An Embarrassingly Simple Baseline to One-shot Learning.
CVPR Workshops
Chen Liu, Chengming Xu, Yikai Wang, Li Zhang, Yanwei Fu
2020 A* conf
DessiLBI: Exploring Structural Sparsity of Deep Networks via Differential Inclusion Paths.
ICML
Yanwei Fu, Chen Liu, Donghao Li, Xinwei Sun, Jinshan Zeng, Yuan Yao
2020 J jnl
DessiLBI: Exploring Structural Sparsity of Deep Networks via Differential Inclusion Paths.
CoRR
Yanwei Fu, Chen Liu, Donghao Li, Xinwei Sun, Jinshan Zeng, Yuan Yao
2020 A* conf
Instance Credibility Inference for Few-Shot Learning.
CVPR
Yikai Wang, Chengming Xu, Chen Liu, Li Zhang, Yanwei Fu
2020 J jnl
Instance Credibility Inference for Few-Shot Learning.
CoRR
Yikai Wang, Chengming Xu, Chen Liu, Li Zhang, Yanwei Fu
2019 J jnl
Parsimonious Deep Learning: A Differential Inclusion Approach with Global Convergence.
CoRR
Yanwei Fu, Chen Liu, Donghao Li, Xinwei Sun, Jinshan Zeng, Yuan Yao