All Stories

  1. 24 th International Workshop on Data Mining in Bioinformatics (BIOKDD 2025)
  2. Scaling Terrain-Aware Spatial Machine Learning for Flood Mapping on Large Scale Earth Imagery Data
  3. Computing Approximate Graph Edit Distance via Optimal Transport
  4. Urban Traffic Simulation with Shared Mobility Services: An Approach Using Spatiotemporal Network Kernel Density Estimation and MATSim
  5. T-FSM: A Task-Based System for Massively Parallel Frequent Subgraph Pattern Mining from a Big Graph
  6. Realistic urban traffic simulation with ride-hailing services
  7. An elevation-guided annotation tool for flood extent mapping on earth imagery (demo paper)
  8. Quantifying and Reducing Registration Uncertainty of Spatial Vector Labels on Earth Imagery
  9. 21th International Workshop on Data Mining in Bioinformatics (BIOKDD 2022)
  10. Unsupervised Adversarial Network Alignment with Reinforcement Learning
  11. Mining Order-preserving Submatrices under Data Uncertainty: A Possible-world Approach and Efficient Approximation Methods
  12. Efficient Algorithms for Maximal k-Biplex Enumeration
  13. Earth Imagery Segmentation on Terrain Surface with Limited Training Labels: A Semi-supervised Approach based on Physics-Guided Graph Co-Training
  14. Mapping Road Safety Barriers Across Street View Image Sequences
  15. MentalSpot
  16. Weakly Supervised Spatial Deep Learning based on Imperfect Vector Labels with Registration Errors
  17. TrajNet
  18. 20th International Workshop on Data Mining in Bioinformatics (BIOKDD 2021)
  19. Predicting Economic Growth by Region Embedding: A Multigraph Convolutional Network Approach
  20. Price Forecast with High-Frequency Finance Data
  21. Lightweight Fault Tolerance in Pregel-Like Systems
  22. T-thinker