All Stories

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