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Guodong Long

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Papers (18)

  1. Federated Weather Modeling on Sensor Data cs.LG · 2026 · author #2
  2. Bi-level Heterogeneous Learning for Time Series Foundation Models: A Federated Learning Approach cs.LG · 2026 · author #2
  3. Discrete Prototypical Memories for Federated Time Series Foundation Models cs.LG · 2026 · author #7
  4. A Survey of Personalized Federated Foundation Models for Privacy-Preserving Recommendation cs.LG · 2025 · author #2
  5. Attributed Graph Clustering: A Deep Attentional Embedding Approach cs.LG · 2019 · author #4
  6. Graph WaveNet for Deep Spatial-Temporal Graph Modeling cs.LG · 2019 · author #3
  7. Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph cs.LG · 2019 · author #3
  8. DAGCN: Dual Attention Graph Convolutional Networks cs.LG · 2019 · author #5
  9. Distributionally Robust Semi-Supervised Learning for People-Centric Sensing cs.HC · 2018 · author #5
  10. Universal Network Representation for Heterogeneous Information Networks cs.SI · 2018 · author #6
  11. NeuRec: On Nonlinear Transformation for Personalized Ranking cs.IR · 2018 · author #5
  12. Tensorized Self-Attention: Efficiently Modeling Pairwise and Global Dependencies Together cs.CL · 2018 · author #3
  13. Multi-modality Sensor Data Classification with Selective Attention cs.CV · 2018 · author #6
  14. Bi-Directional Block Self-Attention for Fast and Memory-Efficient Sequence Modeling cs.CL · 2018 · author #3
  15. Adversarially Regularized Graph Autoencoder for Graph Embedding cs.LG · 2018 · author #3
  16. Reinforced Self-Attention Network: a Hybrid of Hard and Soft Attention for Sequence Modeling cs.CL · 2018 · author #3
  17. DiSAN: Directional Self-Attention Network for RNN/CNN-Free Language Understanding cs.CL · 2017 · author #3
  18. Dynamic Concept Composition for Zero-Example Event Detection cs.CV · 2016 · author #3

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