All Stories

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