All Stories

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