All Stories

  1. Local Clustering on Complex Graphs and Complex Hypergraphs
  2. Generalizable Multi-Pass Training of Ads Recommendation Models with Foundation Model Guidance
  3. Connecting Domains and Contrasting Samples: A Ladder for Domain Generalization
  4. APEX 2 : Adaptive and Extreme Summarization for Personalized Knowledge Graphs
  5. Co-clustering for Federated Recommender System
  6. Deep Co-Attention Network for Multi-View Subspace Learning
  7. Domain Adaptive Multi-Modality Neural Attention Network for Financial Forecasting
  8. Crowd Teaching with Imperfect Labels
  9. Convolution-Consistent Collective Matrix Completion
  10. Towards Explainable Representation of Time-Evolving Graphs via Spatial-Temporal Graph Attention Networks
  11. Task-Adversarial Co-Generative Nets
  12. Optimizing the Wisdom of the Crowd
  13. Multi-task Crowdsourcing via an Optimization Framework
  14. Textual Indicator Extraction from Aviation Accident Reports
  15. Should patients with diabetes be encouraged to integrate social media into their care plan?
  16. Unlearn What You Have Learned
  17. Function-on-Function Regression with Mode-Sparsity Regularization
  18. GTA 3 2018
  19. Local Algorithm for User Action Prediction Towards Display Ads
  20. A Local Algorithm for Structure-Preserving Graph Cut
  21. Multi-task Function-on-function Regression with Co-grouping Structured Sparsity
  22. Jointly Modeling Label and Feature Heterogeneity in Medical Informatics
  23. Co-Clustering Structural Temporal Data with Applications to Semiconductor Manufacturing
  24. Comparing Random Forest with Logistic Regression for Predicting Class-Imbalanced Civil War Onset Data
  25. A Graph-based Recommendation across Heterogeneous Domains
  26. Co-Clustering based Dual Prediction for Cargo Pricing Optimization
  27. Model Multiple Heterogeneity via Hierarchical Multi-Latent Space Learning
  28. MI2LS