PPaperPicks

Xiao-Ming Wu

Hong Kong Polytechnic University, Department of Computing, Hong Kong

31 papers at tracked venues · 24 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. Accelerating Generative Recommendation via Simple Categorical User Sequence Compression
  2. FOREVER: Forgetting Curve-Inspired Memory Replay for Language Model Continual Learning
  3. Full Retraining, Incremental Fine-tuning, and Hybrid Serving: Model Updating and Serving for Industrial Generative Recommender Systems
  4. Mitigating the Threshold Priming Effect in Large Language Model-Based Relevance Judgments via Personality Simulation
  5. AIMMerging: Adaptive Iterative Model Merging Using Training Trajectories for Language Model Continual Learning
  6. Beyond Random Masking: When Dropout meets Graph Convolutional Networks
  7. Can Classic GNNs Be Strong Baselines for Graph-level Tasks? Simple Architectures Meet Excellence
  8. Can LLMs Outshine Conventional Recommenders? A Comparative Evaluation
  9. GEMeX-RMCoT: An Enhanced Med-VQA Dataset for Region-Aware Multimodal Chain-of-Thought Reasoning
  10. GEMeX: A Large-Scale, Groundable, and Explainable Medical VQA Benchmark for Chest X-Ray Diagnosis
  11. GeoEdit: Geometric Knowledge Editing for Large Language Models
  12. Legommenders: A Comprehensive Content-Based Recommendation Library with LLM Support
  13. Leveraging ChatGPT to Empower Training-free Dataset Condensation for Content-based Recommendation
  14. MCNet: Monotonic Calibration Networks for Expressive Uncertainty Calibration in Online Advertising
  15. Node Identifiers: Compact, Discrete Representations for Efficient Graph Learning
  16. Recurrent Knowledge Identification and Fusion for Language Model Continual Learning
  17. Benchmarking News Recommendation in the Era of Green AI
  18. Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification
  19. Continual Dialogue State Tracking via Reason-of-Select Distillation
  20. Correlation Matching Transformation Transformers for UHD Image Restoration
  21. Discrete Semantic Tokenization for Deep CTR Prediction
  22. EasyGen: Easing Multimodal Generation with BiDiffuser and LLMs
  23. Enhancing Graph Transformers with Hierarchical Distance Structural Encoding
  24. Learning Category Trees for ID-Based Recommendation: Exploring the Power of Differentiable Vector Quantization
  25. Multimodal Pretraining, Adaptation, and Generation for Recommendation: A Survey
  26. ONCE: Boosting Content-based Recommendation with Both Open- and Closed-source Large Language Models
  27. SEAL: A Framework for Systematic Evaluation of Real-World Super-Resolution
  28. SelfPromer: Self-Prompt Dehazing Transformers with Depth-Consistency
  29. TaSL: Continual Dialog State Tracking via Task Skill Localization and Consolidation
  30. UniFashion: A Unified Vision-Language Model for Multimodal Fashion Retrieval and Generation
  31. Zero-shot Cross-domain Dialogue State Tracking via Context-aware Auto-prompting and Instruction-following Contrastive Decoding