All Stories

  1. AutoSTF: Decoupled Neural Architecture Search for Cost-Effective Automated Spatio-Temporal Forecasting

    Article • July 2025, ACM (Association for Computing Machinery)

    Jinliang Deng, Weijia Zhang

  2. Enhancing Spatio-temporal Quantile Forecasting with Curriculum Learning: Lessons Learned

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

    Arian Prabowo, Renhe Jiang, Jinliang Deng

  3. Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting

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

    Jinliang Deng, Renhe Jiang

  4. Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting

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

    Renhe Jiang, Jinliang Deng

  5. Drift: Fine-Grained Prediction of the Co-Evolution of Production and Test Code via Machine Learning

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

    Jinliang Deng

  6. DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction

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

    Jinliang Deng, Renhe Jiang

  7. ST-Norm

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

    Jinliang Deng, Renhe Jiang

  8. The Pulse of Urban Transport: Exploring the Co-evolving Pattern for Spatio-temporal Forecasting

    Article • ACM Transactions on Knowledge Discovery from Data, May 2021, ACM (Association for Computing Machinery)

    Jinliang Deng, Renhe Jiang