Mingkai Lin
8 papers · 2023–2026 · 2 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
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Research topics
Deep Learning
(8)
Architectures
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Machine Learning
(6)
Application Areas
(5)
Artificial Intelligence
(4)
Learning Types · Deep Learning
(4)
Core AI
(2)
Core Methods
(2)
Learning Paradigms · Artificial Intelligence
(2)
Learning Types · Machine Learning
(2)
Data Science & Analytics
(1)
Learning Paradigms · Machine Learning
(1)
Methods
(1)
Models
(1)
Optimization & Theory
(1)
Keywords
graph neural network
(5)
knowledge distillation
(3)
domain adaptation
(2)
representation learning
(2)
multi-domain learning
(2)
graph representation learning
(2)
transfer learning
(2)
link prediction
(1)
neural tangent kernel
(1)
feature alignment
(1)
graph classification
(1)
time series forecasting
(1)
variational inference
(1)
dynamic routing
(1)
message passing
(1)
graph representation
(1)
locality sensitive hashing
(1)
graph embedding
(1)
domain generalization
(1)
transformer architecture
(1)
Papers
Demystifying GNN-to-MLP Knowledge Transfer: Theoretical Grounding and Dual-Stream Distillation Method
AAAI 2026
Learnable Matrix Profile for Motif Discovery on Multivariate Time Series
AAAI 2026
Multimodal Graph Representation Learning with Dynamic Information Pathways
AAAI 2026
Aggregation Mechanism Based Graph Heterogeneous Networks Distillation
IJCAI 2025
QuantileFormer: Probabilistic Time Series Forecasting with a Pattern-Mixture Decomposed VAE Transformer
IJCAI 2025
Unified Graph Neural Networks Pre-training for Multi-domain Graphs
AAAI 2025
Label Attentive Distillation for GNN-Based Graph Classification
AAAI 2024
Multi-Domain Generalized Graph Meta Learning
AAAI 2023