Shichao Kan
8 papers · 2020–2025 · 7 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (17) 🐣 Hot Topic Early Bird
🔥
Unstoppable · Bronze
❓
The Questioner
🚀
Conference Pioneer
Top co-authors
Research topics
Machine Learning
(6)
Deep Learning
(5)
Core Methods
(4)
Learning Types · Machine Learning
(3)
Learning Types · Deep Learning
(3)
Architectures
(2)
Optimization & Theory · Machine Learning
(2)
Techniques
(2)
Artificial Intelligence
(1)
Computer Vision
(1)
Core AI
(1)
Learning Paradigms · Artificial Intelligence
(1)
Learning Paradigms · Machine Learning
(1)
Models
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
representation learning
(2)
image retrieval
(2)
feature embedding
(2)
deep metric learning
(2)
feature learning
(1)
self-attention mechanism
(1)
prototype learning
(1)
attention mechanism
(1)
scene graph generation
(1)
fine-grained classification
(1)
constrained optimization
(1)
generalization error
(1)
singular value decomposition
(1)
spatial variation
(1)
generalization analysis
(1)
linear complexity
(1)
diffusion model
(1)
memory efficiency
(1)
data heterogeneity
(1)
generalization capability
(1)
Papers
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning?
AAAI 2025
Noise-Guided Predicate Representation Extraction and Diffusion-Enhanced Discretization for Scene Graph Generation
ICML 2025
HRDecoder: High-Resolution Decoder Network for Fundus Image Lesion Segmentation
MICCAI 2024
Singularformer: Learning to Decompose Self-Attention to Linearize the Complexity of Transformer
IJCAI 2023
Coded Residual Transform for Generalizable Deep Metric Learning
NeurIPS 2022
Relative Order Analysis and Optimization for Unsupervised Deep Metric Learning
CVPR 2021
Spatial Assembly Networks for Image Representation Learning
CVPR 2021
Unsupervised Deep Metric Learning with Transformed Attention Consistency and Contrastive Clustering Loss
ECCV 2020