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Deng, Jinliang

  1. A Multi-view Multi-task Learning Framework for Multi-variate Time Series Forecasting
    2021/09/02 by Deng, Jinliang, Chen, Xiusi, Jiang, Renhe +2 · 3 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  2. Parsimony or Capability? Decomposition Delivers Both in Long-term Time Series Forecasting
    2024/01/22 by Jinliang Deng, Deng, Jinliang, Ye, Feiyang +7 · 4 citations
    Computer Science · Decision Sciences · #FOS: Computer and information sciences #Forecasting Techniques and Applications #Machine Learning (cs.LG) #Stock Market Forecasting Methods #Time Series Analysis and Forecasting
  3. AutoSTF: Decoupled Neural Architecture Search for Cost-Effective Automated Spatio-Temporal Forecasting
    2024/09/25 by Lyu, Tengfei, Zhang, Weijia, Deng, Jinliang +1 · 4 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  4. Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting
    2023/12/01 by Haotian Gao, Renhe Jiang, Gao, Haotian +7 · 3 citations
    Engineering · Computer Science · #Traffic Prediction and Management Techniques #Time Series Analysis and Forecasting #Anomaly Detection Techniques and Applications
  5. Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting
    2024/05/17 by Dong, Zheng, Jiang, Renhe, Gao, Haotian +4 · 3 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  6. FAN: Fourier Analysis Networks
    2024/10/03 by Dong, Yihong, Li, Ge, Tao, Yongding +7 · 2 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  7. Enhancing Spatio-temporal Quantile Forecasting with Curriculum Learning: Lessons Learned
    2024/06/18 by Du Yin, Jinliang Deng, Yin, Du +15 · 1 citation
    Computer Science · Environmental Science · #Artificial Intelligence (cs.AI) #Atmospheric and Environmental Gas Dynamics #FOS: Computer and information sciences #Geochemistry and Geologic Mapping #Machine Learning (cs.LG) #Soil Geostatistics and Mapping
  8. Disentangling Structured Components: Towards Adaptive, Interpretable and Scalable Time Series Forecasting
    2023/05/22 by Deng, Jinliang, Chen, Xiusi, Jiang, Renhe +4 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  9. STAEformer: Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting
    2023/08/21 by Hangchen Liu, Zheng Dong, Liu, Hangchen +11 · 1 citation
    Computer Science · Engineering · Social Sciences · #FOS: Computer and information sciences #Human Mobility and Location-Based Analysis #Machine Learning (cs.LG) #Time Series Analysis and Forecasting #Traffic Prediction and Management Techniques
  10. Learning Gaussian Mixture Representations for Tensor Time Series Forecasting
    2023/06/01 by Deng, Jiewen, Deng, Jinliang, Jiang, Renhe +1 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG)