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← Authors

Yanwei Yu

16 papers · 2022–2026 · 2 conferences · across top CS/AI conferences

Achievements

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+6 more ↓ 🐝 Cross-Pollinator (15) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (2) πŸ—ΊοΈ Taxonomy Completionist (31)
πŸ† Keyword Champion πŸ”¬ Deep Specialist (10) πŸ—ƒοΈ Keyword Collector (85) πŸ’Ž Century Club (11) πŸ”₯ Unstoppable (5) ⚑ Prolific Year (8)

Conferences

AAAI (10) IJCAI (6)

Top co-authors

Junyu Dong (6) Yuan Cao (5) Guiyuan Jiang (5) Bin Wang (5) Zhongying Zhao (5) Xingyu Zhao (4) Wei Chen (3) Jianpeng Qi (3) Guangming Qin (2) Chao Huang (2)

Keywords

graph neural network (5) representation learning (5) sequential recommendation (3) self-supervised learning (3) graph convolutional network (3) contrastive learning (2) mobility datum (2) spatio-temporal datum (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

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 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 SΒ²HyRec: Self-Supervised Hypergraph Sequential Recommendation AAAI 2026 MaskDGNN: Self-Supervised Dynamic Graph Neural Networks with Activeness-aware Temporal Masking IJCAI 2025 DGraFormer: Dynamic Graph Learning Guided Multi-Scale Transformer for Multivariate Time Series Forecasting IJCAI 2025 CoLA-Former: Graph Transformer Using Communal Linear Attention for Lightweight Sequential Recommendation IJCAI 2025 Non-collective Calibrating Strategy for Time Series Forecasting IJCAI 2025 Spatiotemporal-aware Trend-Seasonality Decomposition Network for Traffic Flow Forecasting AAAI 2025 Correlation-Attention Masked Temporal Transformer for User Identity Linkage Using Heterogeneous Mobility Data AAAI 2025 Scalable Trajectory-User Linking with Dual-Stream Representation Networks AAAI 2025 Lightweight Yet Fine-Grained: A Graph Capsule Convolutional Network with Subspace Alignment for Shared-Account Sequential Recommendation 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