Peisong Wen
13 papers · 2021–2026 · 6 conferences · across top CS/AI conferences
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Keywords
generalization bound
(2)
auc optimization
(2)
representation learning
(2)
semantic segmentation
(1)
image generation
(1)
binary classification
(1)
feature learning
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entropy minimization
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self-supervised learning
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attention mechanism
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data augmentation
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image synthesis
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fine-grained classification
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semantic representation
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modality alignment
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model adaptation
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tensor decomposition
(1)
multiclass classification
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message passing
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image restoration
(1)
Papers
TuckA: Hierarchical Compact Tensor Experts for Efficient Fine-Tuning
AAAI 2026
HiGFA: Hierarchical Guidance for Fine-grained Data Augmentation with Diffusion Models
AAAI 2026
When the Future Becomes the Past: Taming Temporal Correspondence for Self-supervised Video Representation Learning
CVPR 2025
AUCSeg: AUC-oriented Pixel-level Long-tail Semantic Segmentation
NIPS 2024
Towards Decision-Friendly AUC: Learning Multi-Classifier with AUCΒ΅
AAAI 2023
Feature Directions Matter: Long-Tailed Learning via Rotated Balanced Representation
ICML 2023
Weighted ROC Curve in Cost Space: Extending AUC to Cost-Sensitive Learning
NIPS 2023
Building Bridge Across the Time: Disruption and Restoration of Murals In the Wild
ICCV 2023
Dist-PU: Positive-Unlabeled Learning From a Label Distribution Perspective
CVPR 2022
Exploring the Algorithm-Dependent Generalization of AUPRC Optimization with List Stability
NIPS 2022
A Sparse-Motif Ensemble Graph Convolutional Network against Over-smoothing
IJCAI 2022
When False Positive is Intolerant: End-to-End Optimization with Low FPR for Multipartite Ranking
NIPS 2021
Seeking the Shape of Sound: An Adaptive Framework for Learning Voice-Face Association
CVPR 2021