Peisong Wen
14 papers · 2021–2026 · 6 venues · across top CS/AI venues
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🗺️ Taxonomy Completionist (35) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
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Topic Evolution
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Dynamic Duo
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Research topics
Machine Learning
(12)
Core Methods
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Deep Learning
(7)
Computer Vision
(5)
Application Areas
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Learning Types · Machine Learning
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Learning Types · Deep Learning
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Artificial Intelligence
(2)
Analysis
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Architectures
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Optimization & Theory · Machine Learning
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Optimization & Theory · Deep Learning
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Processing
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Mathematics & Optimization
(1)
Core AI
(1)
Keywords
representation learning
(3)
auc optimization
(2)
generalization bound
(2)
self-supervised learning
(2)
image generation
(1)
binary classification
(1)
semantic segmentation
(1)
entropy minimization
(1)
feature learning
(1)
image restoration
(1)
attention mechanism
(1)
data augmentation
(1)
image synthesis
(1)
fine-grained classification
(1)
model adaptation
(1)
semantic representation
(1)
modality alignment
(1)
tensor decomposition
(1)
message passing
(1)
transfer learning
(1)
Papers
From Static to Dynamic: Exploring Self-supervised Image-to-Video Representation Transfer Learning
CVPR 2026
HiGFA: Hierarchical Guidance for Fine-grained Data Augmentation with Diffusion Models
AAAI 2026
TuckA: Hierarchical Compact Tensor Experts for Efficient Fine-Tuning
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
NeurIPS 2024
Building Bridge Across the Time: Disruption and Restoration of Murals In the Wild
ICCV 2023
Feature Directions Matter: Long-Tailed Learning via Rotated Balanced Representation
ICML 2023
Towards Decision-Friendly AUC: Learning Multi-Classifier with AUCµ
AAAI 2023
Weighted ROC Curve in Cost Space: Extending AUC to Cost-Sensitive Learning
NeurIPS 2023
A Sparse-Motif Ensemble Graph Convolutional Network against Over-smoothing
IJCAI 2022
Dist-PU: Positive-Unlabeled Learning From a Label Distribution Perspective
CVPR 2022
Exploring the Algorithm-Dependent Generalization of AUPRC Optimization with List Stability
NeurIPS 2022
Seeking the Shape of Sound: An Adaptive Framework for Learning Voice-Face Association
CVPR 2021
When False Positive is Intolerant: End-to-End Optimization with Low FPR for Multipartite Ranking
NeurIPS 2021