Yanwei Yu
16 papers · 2022–2026 · 2 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (30) 🌍 Conference Polyglot · Bronze 🏆 Keyword Champion 🔬 Deep Specialist (10)
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Research topics
Machine Learning
(15)
Deep Learning
(11)
Core Methods
(11)
Architectures
(10)
Data Science & Analytics
(8)
Learning Types · Machine Learning
(7)
Applications
(6)
Artificial Intelligence
(5)
Application Areas
(4)
Learning Paradigms
(4)
Learning Types · Deep Learning
(4)
Methods
(4)
Core AI
(3)
Optimization & Theory
(1)
Keywords
graph neural network
(5)
representation learning
(5)
sequential recommendation
(3)
self-supervised learning
(3)
graph convolutional network
(3)
contrastive learning
(2)
mobility data
(2)
spatio-temporal data
(2)
trajectory-user linking
(2)
spatio-temporal modeling
(2)
time series forecasting
(2)
relationship inference
(1)
transfer learning
(1)
graph structure
(1)
knowledge distillation
(1)
attention mechanism
(1)
temporal modeling
(1)
message passing
(1)
dynamic graph learning
(1)
semi-supervised learning
(1)
Papers
Automatic Channel Pruning by Searching with Structure Embedding for Hash Network
AAAI 2026
Multiplex Heterogeneous Graph Neural Networks with Euclidean-Riemannian Mutual Space Synergy
AAAI 2026
S²HyRec: Self-Supervised Hypergraph Sequential Recommendation
AAAI 2026
Self-Supervised Cross-City Trajectory Representation Learning Based on Meta-Learning
AAAI 2026
TrajAgg: Dual-Scale Feature Aggregation with Hybrid Training for Trajectory Similarity Computation in Free Space
AAAI 2026
CoLA-Former: Graph Transformer Using Communal Linear Attention for Lightweight Sequential Recommendation
IJCAI 2025
Correlation-Attention Masked Temporal Transformer for User Identity Linkage Using Heterogeneous Mobility Data
AAAI 2025
DGraFormer: Dynamic Graph Learning Guided Multi-Scale Transformer for Multivariate Time Series Forecasting
IJCAI 2025
Lightweight Yet Fine-Grained: A Graph Capsule Convolutional Network with Subspace Alignment for Shared-Account Sequential Recommendation
AAAI 2025
MaskDGNN: Self-Supervised Dynamic Graph Neural Networks with Activeness-aware Temporal Masking
IJCAI 2025
Non-collective Calibrating Strategy for Time Series Forecasting
IJCAI 2025
Scalable Trajectory-User Linking with Dual-Stream Representation Networks
AAAI 2025
Spatiotemporal-aware Trend-Seasonality Decomposition Network for Traffic Flow Forecasting
AAAI 2025
Multi-Relational Graph Attention Network for Social Relationship Inference from Human Mobility Data
IJCAI 2024
Graph Structure Learning on User Mobility Data for Social Relationship Inference
AAAI 2023
Mutual Distillation Learning Network for Trajectory-User Linking
IJCAI 2022