Shikun Li
9 papers · 2020–2025 · 6 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (29) 🐣 Hot Topic Early Bird
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Keyword Collector
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Research topics
Machine Learning
(9)
Learning Types · Machine Learning
(7)
Core Methods
(6)
Deep Learning
(4)
Application Areas
(3)
Optimization & Theory
(3)
Artificial Intelligence
(2)
Computer Vision
(2)
Architectures
(2)
Learning Paradigms
(2)
Learning Types · Deep Learning
(2)
Data Science & Analytics
(1)
Healthcare & Medicine
(1)
Analysis
(1)
Applications
(1)
Keywords
distribution matching
(2)
noisy label
(2)
dataset condensation
(2)
label noise
(2)
bilevel optimization
(2)
synthetic data
(2)
representation learning
(2)
medical imaging
(1)
noisy label learning
(1)
image classification
(1)
supervised contrastive learning
(1)
deep learning
(1)
privacy-preserving learning
(1)
feature representation
(1)
transformer
(1)
test-time adaptation
(1)
domain adaptation
(1)
maximum mean discrepancy
(1)
label aggregation
(1)
classifier learning
(1)
Papers
TopoTTA: Topology-Enhanced Test-Time Adaptation for Tubular Structure Segmentation
ICCV 2025
Coupled Confusion Correction: Learning from Crowds with Sparse Annotations
AAAI 2024
DANCE: Dual-View Distribution Alignment for Dataset Condensation
IJCAI 2024
Learning Natural Consistency Representation for Face Forgery Video Detection
ECCV 2024
M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy
AAAI 2024
Model Conversion via Differentially Private Data-Free Distillation
IJCAI 2023
Estimating Noise Transition Matrix with Label Correlations for Noisy Multi-Label Learning
NeurIPS 2022
Selective-Supervised Contrastive Learning With Noisy Labels
CVPR 2022
Coupled-View Deep Classifier Learning from Multiple Noisy Annotators
AAAI 2020