All Stories

  1. GFS: A Preemption-aware Scheduling Framework for GPU Clusters with Predictive Spot Instance Management
  2. DANet: A RAG-inspired Dual Attention Model for Few-shot Time Series Prediction
  3. Large Language Models for Constructing and Optimizing Machine Learning Workflows: A Survey
  4. HtFLlib: A Comprehensive Heterogeneous Federated Learning Library and Benchmark
  5. PipeCo: Pipelining Cold Start of Deep Learning Inference Services on Serverless Platforms
  6. PipeCo: Pipelining Cold Start of Deep Learning Inference Services on Serverless Platforms
  7. FeadSeq: A Personalized Federated Anomaly Detection Framework for Discrete Event Sequences
  8. PipeCo: Pipelining Cold Start of Deep Learning Inference Services on Serverless Platforms
  9. Singleton CTR Prediction: Towards Single-User Modeling Paradigm with Large Language Models
  10. Mitigating Forgetting in Adapting Pre-trained Language Models to Text Processing Tasks via Consistency Alignment
  11. Pattern-oriented Attention Mechanism for Multivariate Time Series Forecasting
  12. PREFER: A Pre-trained Model Recommendation Framework for Edge Computing Enabled Traffic Flow Prediction
  13. Iterative Time Series Imputation by Maintaining Dependency Consistency
  14. Distributed Recommendation Systems: Survey and Research Directions
  15. PREACT: Predictive Resource Allocation for Bursty Workloads in a Co-located Data Center
  16. Enhancing Next-Item Recommendation Through Adaptive User Group Modeling
  17. SMONE: A Session-based Recommendation Model Based on Neighbor Sessions with Similar Probabilistic Intentions
  18. KAE-Informer: A Knowledge Auto-Embedding Informer for Forecasting Long-Term Workloads of Microservices
  19. FASTER: A Dynamic Fairness-assurance Strategy for Session-based Recommender Systems
  20. MASR: A Model-Agnostic Sparse Routing Architecture for Arbitrary Order Feature Sharing in Multi-Task Learning
  21. Learning a Hierarchical Intent Model for Next-Item Recommendation
  22. Predicting a Person’s Next Activity Region with a Dynamic Region-Relation-Aware Graph Neural Network
  23. TFROM
  24. Accelerate the Execution of a Service Processes
  25. A decision support system for multi-disciplinary treatment
  26. Leveraging Kernel-Incorporated Matrix Factorization for App Recommendation
  27. TSLAM
  28. Decentralized executions of privacy awareness data analytics workflows in the cloud
  29. SAAP
  30. Improving the Quality of Recommendations for Users and Items in the Tail of Distribution
  31. Recommendations Based on Comprehensively Exploiting the Latent Factors Hidden in Items’ Ratings and Content
  32. Learning Informative Priors from Heterogeneous Domains to Improve Recommendation in Cold-Start User Domains
  33. Towards a Decoupled Context-Oriented Programming Language for the Internet of Things
  34. CPU load prediction for cloud environment based on a dynamic ensemble model