All Stories

  1. Corrigendum: LyDRL: Lyapunov-guided Deep Reinforcement Learning for Stable Task Offloading in Connected Autonomous Vehicles
  2. Accelerating Diffusion Models via Parallel Denoising
  3. LyDRL: Lyapunov-guided Deep Reinforcement Learning for Stable Task Offloading in Connected Autonomous Vehicles
  4. Revisiting Feature Interactions from the Perspective of Quadratic Neural Networks for Click-through Rate Prediction
  5. Graph Structure Learning for Robust Recommendation
  6. HEDMGame: Fragmentation-Aware Mitigation of Heterogeneous Edge DoS Attacks
  7. Bottlenecked Heterogeneous Graph Contrastive Learning for Robust Recommendation
  8. Towards Distribution Matching between Collaborative and Language Spaces for Generative Recommendation
  9. Intent Representation Learning with Large Language Model for Recommendation
  10. Unveiling Contrastive Learning's Capability of Neighborhood Aggregation for Collaborative Filtering
  11. MixRec: Individual and Collective Mixing Empowers Data Augmentation for Recommender Systems
  12. Simplify to the Limit! Embedding-Less Graph Collaborative Filtering for Recommender Systems
  13. Denoising Heterogeneous Graph Pre-training Framework for Recommendation
  14. AdaGIN: Adaptive Graph Interaction Network for Click-Through Rate Prediction
  15. SimCEN: Simple Contrast-enhanced Network for CTR Prediction
  16. FaaSConf: QoS-aware Hybrid Resources Configuration for Serverless Workflows
  17. Causal Discovery Using Weight-Based Conditional Independence Test
  18. CETN: Contrast-enhanced Through Network for Click-Through Rate Prediction
  19. Exploring the Individuality and Collectivity of Intents behind Interactions for Graph Collaborative Filtering
  20. Heterogeneous Adaptive Preference Learning for Recommendation
  21. Local community detection in multiple private networks
  22. Local Overlapping Spatial-aware Community Detection
  23. EFTuner: A Bi-Objective Configuration Parameter Auto-Tuning Method Towards Energy-Efficient Big Data Processing
  24. Neighbor Library-Aware Graph Neural Network for Third Party Library Recommendation
  25. Revisiting Graph-based Recommender Systems from the Perspective of Variational Auto-Encoder
  26. PSL: An Algorithm for Partial Bayesian Network Structure Learning
  27. DeepCAT: A Cost-Efficient Online Configuration Auto-Tuning Approach for Big Data Frameworks
  28. An LSH-based Offloading Method for IoMT Services in Integrated Cloud-Edge Environment
  29. A time-aware dynamic service quality prediction approach for services
  30. Enhanced Adaptive Cloudlet Placement Approach for Mobile Application on Spark