Shikun Li
9 papers · 2020–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (6) π Academic Marathon (5) π Renaissance Researcher (6) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (28)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Cross-Pollinator
(15)
Conferences
AAAI (3)
IJCAI (2)
CVPR (1)
ECCV (1)
ICCV (1)
NIPS (1)
Top co-authors
Research topics
Keywords
label noise
(2)
bi-level optimization
(2)
noisy label
(2)
distribution matching
(2)
synthetic datum
(2)
dataset condensation
(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)
test-time adaptation
(1)
domain adaptation
(1)
label aggregation
(1)
maximum mean discrepancy
(1)
multi-label classification
(1)
annotator modeling
(1)
classifier learning
(1)
Papers
TopoTTA: Topology-Enhanced Test-Time Adaptation for Tubular Structure Segmentation
ICCV 2025
M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy
AAAI 2024
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
Model Conversion via Differentially Private Data-Free Distillation
IJCAI 2023
Selective-Supervised Contrastive Learning With Noisy Labels
CVPR 2022
Estimating Noise Transition Matrix with Label Correlations for Noisy Multi-Label Learning
NIPS 2022
Coupled-View Deep Classifier Learning from Multiple Noisy Annotators
AAAI 2020