PPaperPicks

Yiu-ming Cheung

Hong Kong Baptist University, Department of Computer Science, Hong Kong

30 papers at tracked venues · 28 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. Break the Tie: Learning Cluster-Customized Category Relationships for Categorical Data Clustering
  2. DRFGD: Disentangled Representation-Focused Generative Defense for Attack-Tolerant Cross-Modal Hashing
  3. Advancing Machine-Generated Text Detection from an Easy to Hard Supervision Perspective
  4. Asynchronous Federated Clustering with Unknown Number of Clusters
  5. Bifurcate then Alienate: Incomplete Multi-view Clustering via Coupled Distribution Learning with Linear Overhead
  6. Categorical Data Clustering via Value Order Estimated Distance Metric Learning
  7. Component-Level Segmentation for Oracle Bone Inscription Decipherment
  8. Epistemic Uncertainty for Generated Image Detection
  9. FedGPS: Statistical Rectification Against Data Heterogeneity in Federated Learning
  10. GBRIP: Granular Ball Representation for Imbalanced Partial Label Learning
  11. Mitigating Forgetting in Adapting Pre-trained Language Models to Text Processing Tasks via Consistency Alignment
  12. Modeling and Identifying Distractors with Curriculum for Robust 3D Gaussian Splatting
  13. PRO-VPT: Distribution-Adaptive Visual Prompt Tuning via Prompt Relocation
  14. ReCon: Enhancing True Correspondence Discrimination through Relation Consistency for Robust Noisy Correspondence Learning
  15. Simple yet Effective Incomplete Multi-view Clustering: Similarity-level Imputation and Intra-view Hybrid-group Prototype Construction
  16. Unlocker: Disentangle the Deadlock of Learning between Label-noisy and Long-tailed Data
  17. Adapt PointFormer: 3D Point Cloud Analysis via Adapting 2D Visual Transformers
  18. Ask, Attend, Attack: An Effective Decision-Based Black-Box Targeted Attack for Image-to-Text Models
  19. Feature Fusion from Head to Tail for Long-Tailed Visual Recognition
  20. Federated Learning with Extremely Noisy Clients via Negative Distillation
  21. FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion
  22. GaussianMarker: Uncertainty-Aware Copyright Protection of 3D Gaussian Splatting
  23. Improving Visual Prompt Tuning by Gaussian Neighborhood Minimization for Long-Tailed Visual Recognition
  24. Interpreting and Improving Large Language Models in Arithmetic Calculation
  25. Learning Order Forest for Qualitative-Attribute Data Clustering
  26. Learning to Shape In-distribution Feature Space for Out-of-distribution Detection
  27. MOKD: Cross-domain Finetuning for Few-shot Classification via Maximizing Optimized Kernel Dependence
  28. QGRL: Quaternion Graph Representation Learning for Heterogeneous Feature Data Clustering
  29. UGNCL: Uncertainty-Guided Noisy Correspondence Learning for Efficient Cross-Modal Matching
  30. Variational Multi-scale Representation for Estimating Uncertainty in 3D Gaussian Splatting