Kun Fu
9 papers · 2019–2025 · 6 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (29) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver
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Prolific Year · Productive
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Keyword Collector
(55)
Top co-authors
Research topics
Deep Learning
(7)
Machine Learning
(7)
Learning Types · Machine Learning
(5)
Artificial Intelligence
(4)
Computer Vision
(3)
Application Areas
(3)
Architectures
(3)
Core AI
(3)
Core Methods
(3)
Learning Types · Deep Learning
(3)
Analysis
(2)
Domain-Specific
(2)
Models
(2)
Healthcare & Medicine
(1)
Interdisciplinary
(1)
Keywords
graph representation learning
(2)
foundation model
(2)
graph neural network
(2)
remote sensing
(2)
multimodal learning
(2)
self-supervised learning
(2)
graph contrastive learning
(2)
token selection
(1)
graph representation
(1)
prototype learning
(1)
diverse sampling
(1)
efficient computing
(1)
adaptive sampling
(1)
protein representation
(1)
efficient inference
(1)
attention mechanism
(1)
graph transformer
(1)
contrastive divergence
(1)
message passing
(1)
feature matching
(1)
Papers
DUALFormer: Dual Graph Transformer
ICLR 2025
ProtCLIP: Function-Informed Protein Multi-Modal Learning
AAAI 2025
RS-vHeat: Heat Conduction Guided Efficient Remote Sensing Foundation Model
ICCV 2025
Synergy of GFlowNet and Protein Language Model Makes a Diverse Antibody Designer
AAAI 2025
TokenSelect: Efficient Long-Context Inference and Length Extrapolation for LLMs via Dynamic Token-Level KV Cache Selection
EMNLP 2025
Improving Graph Contrastive Learning via Adaptive Positive Sampling
CVPR 2024
Unified Graph Augmentations for Generalized Contrastive Learning on Graphs
NeurIPS 2024
Breaking Immutable: Information-Coupled Prototype Elaboration for Few-Shot Object Detection
AAAI 2023
SCRDet: Towards More Robust Detection for Small, Cluttered and Rotated Objects
ICCV 2019