PPaperPicks

Edith C. H. Ngai

University of Hong Kong, Department of Electrical and Electronic Engineering, Hong Kong

23 papers at tracked venues · 18 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. CAMMSR: Category-Guided Attentive Mixture of Experts for Multimodal Sequential Recommendation
  2. FUSED: Toward Federated Multimodal Retrieval across Sovereign Data Domains
  3. Learning and Editing Universal Graph Prompt Tuning via Reinforcement Learning
  4. Multi-modal Dynamic Proxy Learning for Personalized Multiple Clustering
  5. OCR-Memory: Optical Context Retrieval for Long-Horizon Agent Memory
  6. RAMA: Retrieval-Augmented Multi-Agent Framework for Misinformation Detection in Multimodal Fact-Checking
  7. VI-MMRec: Similarity-Aware Training Cost-free Virtual User-Item Interactions for Multimodal Recommendation
  8. Verify Before You Commit: Towards Faithful Reasoning in LLM Agents via Self-Auditing
  9. Well Begun is Half Done: Training-Free and Model-Agnostic Semantically Guaranteed User Representation Initialization for Multimodal Recommendation
  10. COHESION: Composite Graph Convolutional Network with Dual-Stage Fusion for Multimodal Recommendation
  11. Enhancing Graph Collaborative Filtering with FourierKAN Feature Transformation
  12. Exploring Multimodal Foundation AI and Expert-in-the-Loop for Sustainable Management of Wild Salmon Fisheries in Indigenous Rivers
  13. Gumiho: A Hybrid Architecture to Prioritize Early Tokens in Speculative Decoding
  14. MDVT: Enhancing Multimodal Recommendation with Model-Agnostic Multimodal-Driven Virtual Triplets
  15. MENTOR: Multi-level Self-supervised Learning for Multimodal Recommendation
  16. NLGCL: Naturally Existing Neighbor Layers Graph Contrastive Learning for Recommendation
  17. NoteIt: A System Converting Instructional Videos to Interactable Notes Through Multimodal Video Understanding
  18. RealFactBench: A Benchmark for Evaluating Large Language Models in Real-World Fact-Checking
  19. The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation
  20. AlignGroup: Learning and Aligning Group Consensus with Member Preferences for Group Recommendation
  21. Internal Cross-layer Gradients for Extending Homogeneity to Heterogeneity in Federated Learning
  22. Multi-Scale Contrastive Attention Representation Learning for Encrypted Traffic Classification
  23. ReCDA: Concept Drift Adaptation with Representation Enhancement for Network Intrusion Detection