All Stories

  1. Post-hoc Provider Fairness Adaptation via Hierarchical Exposure Alignment
  2. VLHP: Learning Discriminative Vision-Language Hybrid Prototypes for Weakly Supervised Semantic Segmentation
  3. I 3 -MRec: Invariant Learning with Information Bottleneck for Incomplete Modality Recommendation
  4. User Invariant Preference Learning for Multi-Behavior Recommendation
  5. Federated Semantic Learning for Privacy-preserving Cross-domain Recommendation
  6. Understanding Before Recommendation: Semantic Aspect-Aware Review Exploitation via Large Language Models
  7. Attribute-driven Disentangled Representation Learning for Multimodal Recommendation
  8. Cluster-based Graph Collaborative Filtering
  9. Behavior Pattern Mining-based Multi-Behavior Recommendation
  10. Behavior-Contextualized Item Preference Modeling for Multi-Behavior Recommendation
  11. Disentangled Cascaded Graph Convolution Networks for Multi-Behavior Recommendation
  12. Modeling Multi-Relational Connectivity for Personalized Fashion Matching
  13. Sample Less, Learn More: Efficient Action Recognition via Frame Feature Restoration
  14. Semantic-Guided Feature Distillation for Multimodal Recommendation
  15. DA-DAN: A Dual Adversarial Domain Adaption Network for Unsupervised Non-overlapping Cross-domain Recommendation
  16. Dual attentive graph convolutional networks for cross-domain recommendation
  17. Multi-Behavior Recommendation with Cascading Graph Convolution Networks
  18. Adaptive Collaborative Soft Label Learning for Unsupervised Multi-view Feature Selection
  19. Cascading Residual Graph Convolutional Network for Multi-Behavior Recommendation
  20. On Modality Bias Recognition and Reduction
  21. Feature-Level Attentive ICF for Recommendation
  22. A Unified End-to-End Retriever-Reader Framework for Knowledge-based VQA
  23. Bit-aware Semantic Transformer Hashing for Multi-modal Retrieval
  24. Privacy-Preserving Synthetic Data Generation for Recommendation Systems
  25. Efficient Multi-modal Hashing with Online Query Adaption for Multimedia Retrieval
  26. A Novel Patch Convolutional Neural Network for View-based 3D Model Retrieval
  27. Two-pronged Strategy
  28. UGRec: Modeling Directed and Undirected Relations for Recommendation
  29. Interest-aware Message-Passing GCN for Recommendation
  30. Attention feature matching for weakly-supervised video relocalization
  31. Fine-Grained Privacy Detection with Graph-Regularized Hierarchical Attentive Representation Learning
  32. Personalized Item Recommendation for Second-hand Trading Platform
  33. Texture Semantically Aligned with Visibility-aware for Partial Person Re-identification
  34. Pairwise View Weighted Graph Network for View-based 3D Model Retrieval
  35. Flexible Multi-modal Hashing for Scalable Multimedia Retrieval
  36. Long-tail Hashtag Recommendation for Micro-videos with Graph Convolutional Network
  37. User Diverse Preference Modeling by Multimodal Attentive Metric Learning
  38. Deep Spatial Pyramid Features Collaborative Reconstruction for Partial Person ReID
  39. Personalized Hashtag Recommendation for Micro-videos
  40. Explainable Video Action Reasoning via Prior Knowledge and State Transitions
  41. Flexible Online Multi-modal Hashing for Large-scale Multimedia Retrieval
  42. Attentive Aspect Modeling for Review-Aware Recommendation
  43. Compositional Coding for Collaborative Filtering
  44. Online Multi-modal Hashing with Dynamic Query-adaption
  45. Quantifying and Alleviating the Language Prior Problem in Visual Question Answering
  46. MMALFM
  47. Aspect-Aware Latent Factor Model
  48. Exploring User-Specific Information in Music Retrieval
  49. Which Information Sources are More Effective and Reliable in Video Search
  50. On Effective Personalized Music Retrieval by Exploring Online User Behaviors