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Joint Modeling of Local and Global Temporal Dynamics for Multivariate
  Time Series Forecasting with Missing Values

Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values

22 November 2019
Xianfeng Tang
Huaxiu Yao
Yiwei Sun
Charu C. Aggarwal
P. Mitra
Suhang Wang
    AI4TS
ArXivPDFHTML

Papers citing "Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values"

13 / 13 papers shown
Title
DeepSTA: A Spatial-Temporal Attention Network for Logistics Delivery Timely Rate Prediction in Anomaly Conditions
DeepSTA: A Spatial-Temporal Attention Network for Logistics Delivery Timely Rate Prediction in Anomaly Conditions
Jinhui Yi
Huan Yan
Haotian Wang
Jian Yuan
Y. Li
37
4
0
01 May 2025
Learning to Estimate Package Delivery Time in Mixed Imbalanced Delivery and Pickup Logistics Services
Learning to Estimate Package Delivery Time in Mixed Imbalanced Delivery and Pickup Logistics Services
Jinhui Yi
Huan Yan
Haotian Wang
Jian Yuan
Y. Li
AI4TS
26
0
0
01 May 2025
Graph Convolutional Networks for Traffic Forecasting with Missing Values
Graph Convolutional Networks for Traffic Forecasting with Missing Values
Jingwei Zuo
K. Zeitouni
Y. Taher
Sandra García-Rodríguez
GNN
AI4TS
20
39
0
13 Dec 2022
DBT-DMAE: An Effective Multivariate Time Series Pre-Train Model under
  Missing Data
DBT-DMAE: An Effective Multivariate Time Series Pre-Train Model under Missing Data
Kai Zhang
Qinmin Yang
C. Li
AI4TS
17
0
0
16 Sep 2022
STDEN: Towards Physics-Guided Neural Networks for Traffic Flow
  Prediction
STDEN: Towards Physics-Guided Neural Networks for Traffic Flow Prediction
Jiahao Ji
Jingyuan Wang
Zhe Jiang
Jiawei Jiang
Hu Zhang
DiffM
PINN
OOD
AI4CE
12
77
0
01 Sep 2022
Multi-Variate Time Series Forecasting on Variable Subsets
Multi-Variate Time Series Forecasting on Variable Subsets
Jatin Chauhan
A. Raghuveer
Rishi Saket
Jay Nandy
B. Ravindran
AI4TS
25
9
0
25 Jun 2022
Event-Aware Multimodal Mobility Nowcasting
Event-Aware Multimodal Mobility Nowcasting
Zhaonan Wang
Renhe Jiang
Hao Xue
Flora D. Salim
Xuan Song
Ryosuke Shibasaki
32
35
0
14 Dec 2021
LIFE: Learning Individual Features for Multivariate Time Series
  Prediction with Missing Values
LIFE: Learning Individual Features for Multivariate Time Series Prediction with Missing Values
Zhao Zhang
Shao-Qun Zhang
Yuan Jiang
Zhi-Hua Zhou
AI4TS
29
6
0
30 Sep 2021
A Review of Deep Learning Methods for Irregularly Sampled Medical Time
  Series Data
A Review of Deep Learning Methods for Irregularly Sampled Medical Time Series Data
Chenxi Sun
linda Qiao
Moxian Song
Hongyan Li
AI4TS
OOD
25
56
0
23 Oct 2020
RDIS: Random Drop Imputation with Self-Training for Incomplete Time
  Series Data
RDIS: Random Drop Imputation with Self-Training for Incomplete Time Series Data
Taehyean Choi
Ji-Su Kang
Jong-Hwan Kim
SyDa
AI4TS
22
21
0
20 Oct 2020
Physics-aware Spatiotemporal Modules with Auxiliary Tasks for
  Meta-Learning
Physics-aware Spatiotemporal Modules with Auxiliary Tasks for Meta-Learning
Sungyong Seo
Chuizheng Meng
Sirisha Rambhatla
Yan Liu
AI4CE
11
11
0
15 Jun 2020
Recurrent Neural Networks for Multivariate Time Series with Missing
  Values
Recurrent Neural Networks for Multivariate Time Series with Missing Values
Zhengping Che
S. Purushotham
Kyunghyun Cho
David Sontag
Yan Liu
AI4TS
210
1,897
0
06 Jun 2016
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
230
7,903
0
13 Jun 2015
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