Youyong Kong
12 papers · 2020–2026 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (31) 🌍 Conference Polyglot · Silver 🗃️ Keyword Collector (60)
🔥
Unstoppable · Bronze
⚡
Prolific Year · Productive
💎
Century Club · Bronze
Top co-authors
Research topics
Machine Learning
(9)
Deep Learning
(8)
Architectures
(8)
Core Methods
(7)
Learning Types · Machine Learning
(5)
Application Areas
(4)
Artificial Intelligence
(3)
Computer Vision
(3)
Healthcare & Medicine
(3)
Clinical
(2)
Core AI
(2)
Domain-Specific
(2)
Learning Paradigms
(2)
Learning Types · Deep Learning
(2)
Mathematics & Optimization
(1)
Keywords
graph neural network
(6)
survival prediction
(2)
heterogeneous graph
(2)
whole slide image
(2)
semantic segmentation
(1)
semi-supervised learning
(1)
image classification
(1)
pose estimation
(1)
catastrophic forgetting
(1)
feature extraction
(1)
graph classification
(1)
medical imaging
(1)
graph representation learning
(1)
knowledge distillation
(1)
prompt learning
(1)
transfer learning
(1)
feature embedding
(1)
out-of-distribution generalization
(1)
distribution shift
(1)
in-context learning
(1)
Papers
Intraoperative 2D/3D Registration via Spherical Similarity Learning and Differentiable Levenberg-Marquardt Optimization
WACV 2026
Exploring Rationale Learning for Continual Graph Learning
AAAI 2025
HePa: Heterogeneous Graph Prompting for All-Level Classification Tasks
AAAI 2025
Learning Heterogeneous Tissues with Mixture of Experts for Gigapixel Whole Slide Images
CVPR 2025
Suit the Node Pair to the Case: A Multi-Scale Node Pair Grouping Strategy for Graph-MLP Distillation
IJCAI 2025
Topology-Aware Dynamic Reweighting for Distribution Shifts on Graph
ICML 2025
Leveraging Tumor Heterogeneity: Heterogeneous Graph Representation Learning for Cancer Survival Prediction in Whole Slide Images
NeurIPS 2024
Multiscale Low-Frequency Memory Network for Improved Feature Extraction in Convolutional Neural Networks
AAAI 2024
ST-LDM: A Universal Framework for Text-Grounded Object Generation in Real Images
ECCV 2024
RH-BrainFS: Regional Heterogeneous Multimodal Brain Networks Fusion Strategy
NeurIPS 2023
Hierarchical Diffusion Scattering Graph Neural Network
IJCAI 2022
Deep Complementary Joint Model for Complex Scene Registration and Few-shot Segmentation on Medical Images
ECCV 2020