All Stories

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