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Deep Learning for Spatio-Temporal Data Mining: A Survey

Deep Learning for Spatio-Temporal Data Mining: A Survey

11 June 2019
Senzhang Wang
Jiannong Cao
Philip S. Yu
    AI4TS
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Papers citing "Deep Learning for Spatio-Temporal Data Mining: A Survey"

17 / 17 papers shown
Title
Geometry-aware Active Learning of Spatiotemporal Dynamic Systems
Geometry-aware Active Learning of Spatiotemporal Dynamic Systems
Xizhuo
Zhang
AI4CE
19
0
0
26 Apr 2025
C2F-TP: A Coarse-to-Fine Denoising Framework for Uncertainty-Aware
  Trajectory Prediction
C2F-TP: A Coarse-to-Fine Denoising Framework for Uncertainty-Aware Trajectory Prediction
Zichen Wang
Hao Miao
Senzhang Wang
Renzhi Wang
Jianxin Wang
Jian Zhang
70
0
0
17 Dec 2024
UniFlow: A Foundation Model for Unified Urban Spatio-Temporal Flow Prediction
UniFlow: A Foundation Model for Unified Urban Spatio-Temporal Flow Prediction
Yuan Yuan
Jingtao Ding
Chonghua Han
Depeng Jin
Yong Li
Yong Li
AI4TS
AI4CE
77
1
0
20 Nov 2024
From Incomplete Coarse-Grained to Complete Fine-Grained: A Two-Stage
  Framework for Spatiotemporal Data Reconstruction
From Incomplete Coarse-Grained to Complete Fine-Grained: A Two-Stage Framework for Spatiotemporal Data Reconstruction
Ziyu Sun
Haoyang Su
E. Wang
Funing Yang
Yongjian Yang
Wenbin Liu
AI4TS
DiffM
14
0
0
05 Oct 2024
Non-stationary and Sparsely-correlated Multi-output Gaussian Process
  with Spike-and-Slab Prior
Non-stationary and Sparsely-correlated Multi-output Gaussian Process with Spike-and-Slab Prior
Wang Xinming
Li Yongxiang
Yue Xiaowei
Wu Jianguo
16
0
0
05 Sep 2024
STEMO: Early Spatio-temporal Forecasting with Multi-Objective
  Reinforcement Learning
STEMO: Early Spatio-temporal Forecasting with Multi-Objective Reinforcement Learning
Wei Shao
Yufan Kang
Ziyan Peng
Xiao Xiao
Lei Wang
Yuhui Yang
Flora D Salim
30
0
0
06 Jun 2024
HRNet: Differentially Private Hierarchical and Multi-Resolution Network
  for Human Mobility Data Synthesization
HRNet: Differentially Private Hierarchical and Multi-Resolution Network for Human Mobility Data Synthesization
Shun Takagi
Li Xiong
Fumiyuki Kato
Yang Cao
Masatoshi Yoshikawa
3DH
31
2
0
13 May 2024
Deep Multi-View Channel-Wise Spatio-Temporal Network for Traffic Flow
  Prediction
Deep Multi-View Channel-Wise Spatio-Temporal Network for Traffic Flow Prediction
Hao Miao
Senzhang Wang
Meiyue Zhang
Diansheng Guo
Funing Sun
Fan Yang
26
1
0
23 Apr 2024
SVQ: Sparse Vector Quantization for Spatiotemporal Forecasting
SVQ: Sparse Vector Quantization for Spatiotemporal Forecasting
Chao Chen
Tian Zhou
Yanjun Zhao
Hui Liu
Liang Sun
Rong Jin
12
0
0
06 Dec 2023
Large Models for Time Series and Spatio-Temporal Data: A Survey and
  Outlook
Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook
Ming Jin
Qingsong Wen
Yuxuan Liang
Chaoli Zhang
Siqiao Xue
...
Shirui Pan
Vincent S. Tseng
Yu Zheng
Lei Chen
Hui Xiong
AI4TS
SyDa
22
116
0
16 Oct 2023
A Simple Framework for Multi-mode Spatial-Temporal Data Modeling
A Simple Framework for Multi-mode Spatial-Temporal Data Modeling
Zihang Liu
Le Yu
T. Zhu
Lei Sun
AI4TS
19
0
0
22 Aug 2023
Spatiotemporal-Augmented Graph Neural Networks for Human Mobility
  Simulation
Spatiotemporal-Augmented Graph Neural Networks for Human Mobility Simulation
Yu Wang
Tongya Zheng
Shunyu Liu
Zunlei Feng
Kaixuan Chen
Yunzhi Hao
Min-Gyoo Song
10
7
0
15 Jun 2023
Inverting the Fundamental Diagram and Forecasting Boundary Conditions:
  How Machine Learning Can Improve Macroscopic Models for Traffic Flow
Inverting the Fundamental Diagram and Forecasting Boundary Conditions: How Machine Learning Can Improve Macroscopic Models for Traffic Flow
Maya Briani
E. Cristiani
Elia Onofri
11
2
0
21 Mar 2023
Predicting Human Mobility via Self-supervised Disentanglement Learning
Predicting Human Mobility via Self-supervised Disentanglement Learning
Qiang Gao
Jinyung Hong
Xovee Xu
Ping Kuang
Fan Zhou
Goce Trajcevski
13
12
0
17 Nov 2022
Privacy-Aware Human Mobility Prediction via Adversarial Networks
Privacy-Aware Human Mobility Prediction via Adversarial Networks
Yuting Zhan
Alex Kyllo
A. Mashhadi
Hamed Haddadi
7
7
0
19 Jan 2022
Deep Learning for Road Traffic Forecasting: Does it Make a Difference?
Deep Learning for Road Traffic Forecasting: Does it Make a Difference?
Eric L. Manibardo
I. Laña
Javier Del Ser
AI4TS
11
66
0
02 Dec 2020
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
188
7,816
0
13 Jun 2015
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