All Stories

  1. Advancing Certified Robustness of Explanation via Gradient Quantization

    Article • October 2024, ACM (Association for Computing Machinery)

    Wei-Shinn Ku, Yang Xiao, Yuchen Fang

  2. Traffic Accident Hotspot Prediction Using Temporal Convolutional Networks: A Spatio-Temporal Approach

    Article • November 2023, ACM (Association for Computing Machinery)

    Wei-Shinn Ku

  3. A Multimodal Geo Dataset for High-resolution Precipitation Forecasting

    Article • November 2023, ACM (Association for Computing Machinery)

    Wei-Shinn Ku

  4. A Novel Quadtree-Based Genetic Programming Search for Searchable Encryption Optimization

    Article • July 2023, ACM (Association for Computing Machinery)

    Wei-Shinn Ku

  5. Low-rank Nonnegative Tensor Decomposition in Hyperbolic Space

    Article • August 2022, ACM (Association for Computing Machinery)

    Wei-Shinn Ku

  6. Modeling Real Estate Dynamics Using Temporal Encoding

    Article • November 2021, ACM (Association for Computing Machinery)

    Wei-Shinn Ku

  7. MentalSpot

    Article • October 2021, ACM (Association for Computing Machinery)

    Wei-Shinn Ku, Da Yan

  8. Geometric Graph Representation Learning on Protein Structure Prediction

    Article • August 2021, ACM (Association for Computing Machinery)

    Wei-Shinn Ku

  9. TrajNet

    Article • August 2021, ACM (Association for Computing Machinery)

    Da Yan, Wei-Shinn Ku

  10. Predicting Economic Growth by Region Embedding: A Multigraph Convolutional Network Approach

    Article • October 2020, ACM (Association for Computing Machinery)

    Wei-Shinn Ku, Da Yan

  11. Turbo-GTS

    Article • ACM Transactions on Spatial Algorithms and Systems, February 2020, ACM (Association for Computing Machinery)

    Wei-Shinn Ku

  12. Learning-Based Cleansing for Indoor RFID Data

    Article • June 2016, ACM (Association for Computing Machinery)

    Torben Bach Pedersen, Wei-Shinn Ku

  13. A spatial keyword evaluation framework for network-based spatial queries

    Article • November 2013, ACM (Association for Computing Machinery)

    Wei-Shinn Ku