All Stories

  1. AgenticScholar: Agentic Data Management with Pipeline Orchestration for Scholarly Corpora
  2. Practical Parameterized Query Optimization via Efficient Plan Reuse and List-wise Ranking
  3. Continual Text-to-Video Retrieval with Frame Fusion and Task-Aware Routing
  4. Benchmarking In-the-Wild Multimodal Disease Recognition and A Versatile Baseline
  5. DPO: Dual-Perturbation Optimization for Test-time Adaptation in 3D Object Detection
  6. Physics-guided Active Sample Reweighting for Urban Flow Prediction
  7. Explicit Knowledge Graph Reasoning for Conversational Recommendation
  8. Universal Adversarial Perturbations for Vision-Language Pre-trained Models
  9. Filter-based Stance Network for Rumor Verification
  10. Multi-head Siamese Prototype Learning against both Data and Label Corruption
  11. Zero-Shot Learning by Harnessing Adversarial Samples
  12. Semi-decentralized Federated Ego Graph Learning for Recommendation
  13. Semantic Enhanced Video Captioning with Multi-feature Fusion
  14. Video Captioning by Learning from Global Sentence and Looking Ahead
  15. Proactive Privacy-preserving Learning for Cross-modal Retrieval
  16. Robust Learning with Adversarial Perturbations and Label Noise
  17. Machine Unlearning for Image Retrieval
  18. PipAttack: Poisoning Federated Recommender Systems for Manipulating Item Promotion
  19. Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation
  20. CausalRec: Causal Inference for Visual Debiasing in Visually-Aware Recommendation
  21. Joint-teaching: Learning to Refine Knowledge for Resource-constrained Unsupervised Cross-modal Retrieval
  22. Local Graph Convolutional Networks for Cross-Modal Hashing
  23. Imbalanced Source-free Domain Adaptation
  24. Learning Transferrable and Interpretable Representations for Domain Generalization
  25. Domain Adaptive Semantic Segmentation without Source Data
  26. Mitigating Generation Shifts for Generalized Zero-Shot Learning
  27. Learning Elastic Embeddings for Customizing On-Device Recommenders
  28. Privacy Protection in Deep Multi-modal Retrieval
  29. Learning to Ask Appropriate Questions in Conversational Recommendation
  30. Graph Embedding for Recommendation against Attribute Inference Attacks
  31. CRSAL
  32. Prototype-Matching Graph Network for Heterogeneous Domain Adaptation
  33. Incomplete Cross-modal Retrieval with Dual-Aligned Variational Autoencoders
  34. Rethinking Generative Zero-Shot Learning: An Ensemble Learning Perspective for Recognising Visual Patches
  35. Adversarial Bipartite Graph Learning for Video Domain Adaptation
  36. Try This Instead
  37. GAG
  38. Exploiting Cross-session Information for Session-based Recommendation with Graph Neural Networks
  39. Next Point-of-Interest Recommendation on Resource-Constrained Mobile Devices
  40. Rethinking the Item Order in Session-based Recommendation with Graph Neural Networks
  41. Alleviating Feature Confusion for Generative Zero-shot Learning
  42. Cycle-consistent Conditional Adversarial Transfer Networks
  43. CRA-Net
  44. Curiosity-driven Reinforcement Learning for Diverse Visual Paragraph Generation
  45. Enhancing Collaborative Filtering with Generative Augmentation
  46. Deep Collaborative Discrete Hashing with Semantic-Invariant Structure
  47. Coarse-to-Fine Annotation Enrichment for Semantic Segmentation Learning
  48. Neural Memory Streaming Recommender Networks with Adversarial Training
  49. Streaming Ranking Based Recommender Systems
  50. Feature Reconstruction by Laplacian Eigenmaps for Efficient Instance Search
  51. Modal-adversarial Semantic Learning Network for Extendable Cross-modal Retrieval
  52. Discrete Deep Learning for Fast Content-Aware Recommendation
  53. Jointly Modeling Static Visual Appearance and Temporal Pattern for Unsupervised Video Hashing
  54. Unifying Multi-Source Social Media Data for Personalized Travel Route Planning
  55. POI Popularity Prediction via Hierarchical Fusion of Multiple Social Clues
  56. Event Early Embedding
  57. Transductive Visual-Semantic Embedding for Zero-shot Learning
  58. Joint Modeling of User Check-in Behaviors for Real-time Point-of-Interest Recommendation
  59. Supervised Robust Discrete Multimodal Hashing for Cross-Media Retrieval
  60. What are Popular
  61. Joint Modeling of Users' Interests and Mobility Patterns for Point-of-Interest Recommendation
  62. Linear cross-modal hashing for efficient multimedia search