PPaperPicks

Yang Lu

Xiamen University, School of Informatics, China

23 papers at tracked venues · 21 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. Break the Tie: Learning Cluster-Customized Category Relationships for Categorical Data Clustering
  2. Joint Implicit and Explicit Language Learning for Pedestrian Attribute Recognition
  3. Target Refocusing via Attention Redistribution for Open-Vocabulary Semantic Segmentation: An Explainability Perspective
  4. Asynchronous Federated Clustering with Unknown Number of Clusters
  5. Categorical Data Clustering via Value Order Estimated Distance Metric Learning
  6. FATE: A Prompt-Tuning-Based Semi-Supervised Learning Framework for Extremely Limited Labeled Data
  7. MaskViM: Domain Generalized Semantic Segmentation with State Space Models
  8. Mind the Gap: Confidence Discrepancy Can Guide Federated Semi-Supervised Learning Across Pseudo-Mismatch
  9. Novel Category Discovery with X-Agent Attention for Open-Vocabulary Semantic Segmentation
  10. PRO-VPT: Distribution-Adaptive Visual Prompt Tuning via Prompt Relocation
  11. Progressive Data Dropout: An Embarrassingly Simple Approach to Train Faster
  12. Unlocker: Disentangle the Deadlock of Learning between Label-noisy and Long-tailed Data
  13. You are Your Own Best Teacher: Achieving Centralized-level Performance in Federated Learning under Heterogeneous and Long-Tailed Data
  14. CLIP-Guided Federated Learning on Heterogeneity and Long-Tailed Data
  15. Diverse Consensuses Paired with Motion Estimation-Based Multi-Model Fitting
  16. Dynamically Anchored Prompting for Task-Imbalanced Continual Learning
  17. Feature Fusion from Head to Tail for Long-Tailed Visual Recognition
  18. Federated Learning with Extremely Noisy Clients via Negative Distillation
    AAAI 2024 · Yang Lu
  19. Improving Visual Prompt Tuning by Gaussian Neighborhood Minimization for Long-Tailed Visual Recognition
  20. Learning Order Forest for Qualitative-Attribute Data Clustering
  21. Relationship Prompt Learning is Enough for Open-Vocabulary Semantic Segmentation
  22. Robust Pseudo-label Learning with Neighbor Relation for Unsupervised Visible-Infrared Person Re-Identification
  23. Semi-supervised Visible-Infrared Person Re-identification via Modality Unification and Confidence Guidance