PPaperPicks

Yun Sing Koh

24 papers at tracked venues · 9 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. HoGA: Higher-Order Graph Attention via Diversity-Aware k-Hop Sampling
  2. Overcoming Fine-Grained Visual Challenges in Animal Re-Identification via Semantic Feature Alignment
  3. Zero-Shot Domain Generalisation via Prompt-Driven Feature Refinement
  4. Balancing Invariant and Specific Knowledge for Domain Generalization with Online Knowledge Distillation
  5. CABIN: Debiasing Vision-Language Models Using Backdoor Adjustments
  6. GloPER: Unsupervised Animal Pattern Extraction from Local Reconstruction
  7. LIBRA: Measuring Bias of Large Language Model from a Local Context
  8. Longitudinal Surveys Are Texts: LLM-Enhanced Analysis of School Attendance in New Zealand
  9. Machine Learning for Data Streams with CapyMOA
  10. Message-Passing Under Heterophily for Graph Classification
  11. MetaWild: A Multimodal Dataset for Animal Re-Identification with Environmental Metadata
  12. Privacy-Preserving Low-Rank Adaptation Against Membership Inference Attacks for Latent Diffusion Models
  13. Thematic Bottleneck Models for Multimodal Analysis of School Attendance
  14. Thematic-LM: A LLM-based Multi-agent System for Large-scale Thematic Analysis
  15. Diving Deep: Forecasting Sea Surface Temperatures and Anomalies
  16. Learning After Learning: Positive Backward Transfer in Continual Learning
  17. Quantile-Regression-Ensemble: A Deep Learning Algorithm for Downscaling Extreme Precipitation
  18. Recurrent Concept Drifts on Data Streams
  19. Remote Sensing for Water Quality: A Multi-Task, Metadata-Driven Hypernetwork Approach
  20. SSAT-Adapter: Enhancing Vision-Language Model Few-shot Learning with Auxiliary Tasks
  21. Sketch-Based Replay Projection for Continual Learning
  22. Symmetric Self-Paced Learning for Domain Generalization
  23. Time-Evolving Data Science and Artificial Intelligence for Advanced Open Environmental Science (TAIAO) Programme
    IJCAI 2024 · Yun Sing Koh
  24. Unveiling Climate Drivers via Feature Importance Shift Analysis in New Zealand