PPaperPicks

Yanwei Yu

24 papers at tracked venues · 14 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. Automatic Channel Pruning by Searching with Structure Embedding for Hash Network
  2. Multiplex Heterogeneous Graph Neural Networks with Euclidean-Riemannian Mutual Space Synergy
  3. ScaleGNN: Towards Scalable Graph Neural Networks via Adaptive High-order Neighboring Feature Fusion
  4. Self-Supervised Cross-City Trajectory Representation Learning Based on Meta-Learning
    AAAI 2026 · Yanwei Yu
  5. S²HyRec: Self-Supervised Hypergraph Sequential Recommendation
  6. TrajAgg: Dual-Scale Feature Aggregation with Hybrid Training for Trajectory Similarity Computation in Free Space
  7. Weighted Graph Clustering via Scale Contraction and Graph Structure Learning
  8. CoLA-Former: Graph Transformer Using Communal Linear Attention for Lightweight Sequential Recommendation
  9. Correlation-Attention Masked Temporal Transformer for User Identity Linkage Using Heterogeneous Mobility Data
  10. DGraFormer: Dynamic Graph Learning Guided Multi-Scale Transformer for Multivariate Time Series Forecasting
  11. Exploring the Tradeoff Between Diversity and Discrimination for Continuous Category Discovery
  12. Hierarchy-Consistent Learning and Adaptive Loss Balancing for Hierarchical Multi-Label Classification
  13. Lightweight Yet Fine-Grained: A Graph Capsule Convolutional Network with Subspace Alignment for Shared-Account Sequential Recommendation
  14. MaskDGNN: Self-Supervised Dynamic Graph Neural Networks with Activeness-aware Temporal Masking
  15. Non-collective Calibrating Strategy for Time Series Forecasting
  16. Scalable Trajectory-User Linking with Dual-Stream Representation Networks
  17. Self-Supervised Trajectory Representation Learning with Multi-Scale Spatio-Temporal Feature Exploration
  18. Spatiotemporal-aware Trend-Seasonality Decomposition Network for Traffic Flow Forecasting
  19. UMGAD: Unsupervised Multiplex Graph Anomaly Detection
  20. Dataset Condensation for Time Series Classification via Dual Domain Matching
  21. Hierarchical Graph Contrastive Learning for Review-Enhanced Recommendation
  22. Hypergraph Hash Learning for Efficient Trajectory Similarity Computation
  23. MoTTo: Scalable Motif Counting with Time-aware Topology Constraint for Large-scale Temporal Graphs
  24. Multi-Relational Graph Attention Network for Social Relationship Inference from Human Mobility Data