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Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows
  Prediction

Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction

1 October 2016
Junbo Zhang
Yu Zheng
Dekang Qi
    3DPC
    AI4TS
ArXivPDFHTML

Papers citing "Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction"

50 / 104 papers shown
Title
Urban Computing in the Era of Large Language Models
Urban Computing in the Era of Large Language Models
Zhonghang Li
Lianghao Xia
Xubin Ren
J. Tang
Tianyi Chen
Yong-mei Xu
C. Huang
76
0
0
02 Apr 2025
Timeseries Foundation Models for Mobility: A Benchmark Comparison with Traditional and Deep Learning Models
Timeseries Foundation Models for Mobility: A Benchmark Comparison with Traditional and Deep Learning Models
Anita Graser
AI4TS
28
0
0
31 Mar 2025
GMG: A Video Prediction Method Based on Global Focus and Motion Guided
GMG: A Video Prediction Method Based on Global Focus and Motion Guided
Yuhao Du
Hui Liu
Haoxiang Peng
Xinyuan Chen
Chenrong Wu
J. Zhang
59
0
0
14 Mar 2025
Data Driven Decision Making with Time Series and Spatio-temporal Data
Data Driven Decision Making with Time Series and Spatio-temporal Data
Bin Yang
Yuxuan Liang
Chenjuan Guo
Christian S. Jensen
AI4TS
130
0
0
11 Mar 2025
GraphSparseNet: a Novel Method for Large Scale Traffic Flow Prediction
GraphSparseNet: a Novel Method for Large Scale Traffic Flow Prediction
Weiyang Kong
Kaiqi Wu
Sen Zhang
Yubao Liu
AI4TS
GNN
78
0
0
27 Feb 2025
Beyond Fixed Variables: Expanding-variate Time Series Forecasting via Flat Scheme and Spatio-temporal Focal Learning
Beyond Fixed Variables: Expanding-variate Time Series Forecasting via Flat Scheme and Spatio-temporal Focal Learning
Minbo Ma
Kai Tang
Huan Li
Fei Teng
Dalin Zhang
Tianrui Li
AI4TS
41
0
0
24 Feb 2025
Collaborative Deterministic-Diffusion Model for Probabilistic Spatiotemporal Prediction
Collaborative Deterministic-Diffusion Model for Probabilistic Spatiotemporal Prediction
Zhi Sheng
Yuan Yuan
Yudi Zhang
Depeng Jin
Yong Li
DiffM
AI4CE
46
0
0
16 Feb 2025
Dynamic Trend Fusion Module for Traffic Flow Prediction
Dynamic Trend Fusion Module for Traffic Flow Prediction
Jing Chen
Haocheng Ye
Zhian Ying
Yuntao Sun
Wenqiang Xu
AI4TS
42
6
0
18 Jan 2025
Efficient Traffic Prediction Through Spatio-Temporal Distillation
Efficient Traffic Prediction Through Spatio-Temporal Distillation
Qianru Zhang
Xinyi Gao
Haixin Wang
S. Yiu
Hongzhi Yin
AI4TS
35
2
0
15 Jan 2025
Multimodal joint prediction of traffic spatial-temporal data with graph sparse attention mechanism and bidirectional temporal convolutional network
Multimodal joint prediction of traffic spatial-temporal data with graph sparse attention mechanism and bidirectional temporal convolutional network
Dongran Zhang
Jiangnan Yan
K. Polat
A. Alhudhaif
Jun Li
AI4TS
29
11
0
31 Dec 2024
HiMoE: Heterogeneity-Informed Mixture-of-Experts for Fair Spatial-Temporal Forecasting
Shaohan Yu
Pan Deng
Yu Zhao
J. Liu
Ziáng Wang
MoE
164
0
0
30 Nov 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
79
2
0
20 Nov 2024
Spatially Constrained Transformer with Efficient Global Relation
  Modelling for Spatio-Temporal Prediction
Spatially Constrained Transformer with Efficient Global Relation Modelling for Spatio-Temporal Prediction
Ashutosh Sao
Simon Gottschalk
AI4TS
34
0
0
11 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
31
0
0
05 Oct 2024
Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts
Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts
X. Shi
Shiyu Wang
Yuqi Nie
Dianqi Li
Zhou Ye
Qingsong Wen
Ming Jin
AI4TS
34
26
0
24 Sep 2024
UMOD: A Novel and Effective Urban Metro Origin-Destination Flow
  Prediction Method
UMOD: A Novel and Effective Urban Metro Origin-Destination Flow Prediction Method
Peng Xie
Minbo Ma
Bin Wang
Junbo Zhang
Tianrui Li
29
0
0
08 Sep 2024
Spatio-Temporal Partial Sensing Forecast for Long-term Traffic
Spatio-Temporal Partial Sensing Forecast for Long-term Traffic
Zibo Liu
Zhe Jiang
Zelin Xu
Tingsong Xiao
Zhengkun Xiao
Haibo Wang
Shigang Chen
AI4TS
37
0
0
02 Aug 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
41
1
0
23 Apr 2024
Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models
Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models
Weijiao Zhang
Jindong Han
Zhao Xu
Hang Ni
Hao Liu
Hui Xiong
Hui Xiong
AI4CE
77
15
0
30 Jan 2024
Learning Time-aware Graph Structures for Spatially Correlated Time
  Series Forecasting
Learning Time-aware Graph Structures for Spatially Correlated Time Series Forecasting
Minbo Ma
Jilin Hu
Christian S. Jensen
Fei Teng
Peng Han
Zhiqiang Xu
Tian-Jie Li
AI4TS
44
3
0
27 Dec 2023
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
32
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
33
117
0
16 Oct 2023
Rethinking Sensors Modeling: Hierarchical Information Enhanced Traffic
  Forecasting
Rethinking Sensors Modeling: Hierarchical Information Enhanced Traffic Forecasting
Qian Ma
Zijian Zhang
Xiangyu Zhao
Haoliang Li
Hongwei Zhao
Yiqi Wang
Zitao Liu
Wanyu Wang
8
12
0
20 Sep 2023
Federated Learning for Connected and Automated Vehicles: A Survey of
  Existing Approaches and Challenges
Federated Learning for Connected and Automated Vehicles: A Survey of Existing Approaches and Challenges
Vishnu Pandi Chellapandi
Liangqi Yuan
Christopher G. Brinton
Stanislaw H. .Zak
Ziran Wang
FedML
27
75
0
21 Aug 2023
LaDe: The First Comprehensive Last-mile Delivery Dataset from Industry
LaDe: The First Comprehensive Last-mile Delivery Dataset from Industry
Lixia Wu
Haomin Wen
Haoyuan Hu
Xiaowei Mao
Yutong Xia
...
Y. Liang
Liuqing Yang
Roger Zimmermann
Youfang Lin
Huaiyu Wan
37
8
0
19 Jun 2023
Uncertainty Quantification via Spatial-Temporal Tweedie Model for
  Zero-inflated and Long-tail Travel Demand Prediction
Uncertainty Quantification via Spatial-Temporal Tweedie Model for Zero-inflated and Long-tail Travel Demand Prediction
Xinke Jiang
Dingyi Zhuang
Xianghui Zhang
Hao Chen
Jiayuan Luo
Xiaowei Gao
19
20
0
16 Jun 2023
Graph-based Multi-ODE Neural Networks for Spatio-Temporal Traffic
  Forecasting
Graph-based Multi-ODE Neural Networks for Spatio-Temporal Traffic Forecasting
Zibo Liu
Parshin Shojaee
Chandan K. Reddy
AI4TS
AI4CE
24
9
0
30 May 2023
PastNet: Introducing Physical Inductive Biases for Spatio-temporal Video Prediction
PastNet: Introducing Physical Inductive Biases for Spatio-temporal Video Prediction
Hao Wu
Wei Xion
Fan Xu
Xian-Sheng Hua
C. L. Philip Chen
Xiansheng Hua
AI4TS
23
27
0
19 May 2023
Dynamic Causal Explanation Based Diffusion-Variational Graph Neural
  Network for Spatio-temporal Forecasting
Dynamic Causal Explanation Based Diffusion-Variational Graph Neural Network for Spatio-temporal Forecasting
G. Liang
Prayag Tiwari
Sławomir Nowaczyk
Stefan Byttner
F. Alonso-Fernandez
DiffM
36
12
0
16 May 2023
AutoSTL: Automated Spatio-Temporal Multi-Task Learning
AutoSTL: Automated Spatio-Temporal Multi-Task Learning
Zijian Zhang
Xiangyu Zhao
Hao Miao
Chunxu Zhang
Hongwei Zhao
Junbo Zhang
AI4TS
20
19
0
16 Apr 2023
Inductive biases in deep learning models for weather prediction
Inductive biases in deep learning models for weather prediction
Jannik Thümmel
Matthias Karlbauer
S. Otte
C. Zarfl
Georg Martius
...
Thomas Scholten
Ulrich Friedrich
V. Wulfmeyer
B. Goswami
Martin Volker Butz
AI4CE
33
5
0
06 Apr 2023
Urban Regional Function Guided Traffic Flow Prediction
Urban Regional Function Guided Traffic Flow Prediction
Kuo Wang
Lingbo Liu
Yang Liu
Guanbin Li
Fan Zhou
Liang Lin
25
25
0
17 Mar 2023
Fairness-enhancing deep learning for ride-hailing demand prediction
Fairness-enhancing deep learning for ride-hailing demand prediction
Yunhan Zheng
Qingyi Wang
Dingyi Zhuang
Shenhao Wang
Jinhua Zhao
41
12
0
10 Mar 2023
Fast Temporal Wavelet Graph Neural Networks
Fast Temporal Wavelet Graph Neural Networks
D. Nguyen
Manh Tuan Nguyen
Truong Son-Hy
Risi Kondor
AI4TS
23
7
0
17 Feb 2023
Streaming Traffic Flow Prediction Based on Continuous Reinforcement
  Learning
Streaming Traffic Flow Prediction Based on Continuous Reinforcement Learning
Yanan Xiao
Minyu Liu
Zichen Zhang
Lu Jiang
Minghao Yin
Jianan Wang
AI4TS
25
5
0
24 Dec 2022
Spatial-temporal traffic modeling with a fusion graph reconstructed by
  tensor decomposition
Spatial-temporal traffic modeling with a fusion graph reconstructed by tensor decomposition
Qin Li
Xu Yang
Yong Wang
Yuankai Wu
Deqiang He
34
10
0
12 Dec 2022
Geo-Adaptive Deep Spatio-Temporal predictive modeling for human mobility
Geo-Adaptive Deep Spatio-Temporal predictive modeling for human mobility
S. M. A. Zaidi
V. Chandola
Eunhye Yoo
3DH
31
0
0
27 Nov 2022
Spatial-Temporal Graph Convolutional Gated Recurrent Network for Traffic
  Forecasting
Spatial-Temporal Graph Convolutional Gated Recurrent Network for Traffic Forecasting
Le Zhao
Mingcai Chen
Yuntao Du
Haiyang Yang
Chongjun Wang
GNN
AI4TS
11
4
0
06 Oct 2022
Practical Adversarial Attacks on Spatiotemporal Traffic Forecasting
  Models
Practical Adversarial Attacks on Spatiotemporal Traffic Forecasting Models
F. Liu
Haowen Liu
Wenzhao Jiang
OOD
64
33
0
05 Oct 2022
Towards Learning in Grey Spatiotemporal Systems: A Prophet to
  Non-consecutive Spatiotemporal Dynamics
Towards Learning in Grey Spatiotemporal Systems: A Prophet to Non-consecutive Spatiotemporal Dynamics
Zhengyang Zhou
Yang Kuo
Wei Sun
Binwu Wang
Mingxing Zhou
Yunan Zong
Yang Wang
AI4TS
24
3
0
17 Aug 2022
Towards Spatio-Temporal Cross-Platform Graph Embedding Fusion for Urban
  Traffic Flow Prediction
Towards Spatio-Temporal Cross-Platform Graph Embedding Fusion for Urban Traffic Flow Prediction
Mahan Tabatabaie
James S. Maniscalco
Connor Lynch
Suining He
AI4TS
14
0
0
15 Aug 2022
A Baselined Gated Attention Recurrent Network for Request Prediction in
  Ridesharing
A Baselined Gated Attention Recurrent Network for Request Prediction in Ridesharing
Jingran Shen
Nikos Tziritas
Georgios Theodoropoulos
AI4TS
26
7
0
11 Jul 2022
Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive
  Learning
Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning
Cheng Tan
Zhangyang Gao
Lirong Wu
Yongjie Xu
Jun-Xiong Xia
Siyuan Li
Stan Z. Li
31
107
0
24 Jun 2022
SimVP: Simpler yet Better Video Prediction
SimVP: Simpler yet Better Video Prediction
Zhangyang Gao
Cheng Tan
Lirong Wu
Stan Z. Li
27
211
0
09 Jun 2022
A Cross-City Federated Transfer Learning Framework: A Case Study on
  Urban Region Profiling
A Cross-City Federated Transfer Learning Framework: A Case Study on Urban Region Profiling
Gaode Chen
Yijun Su
Xinghua Zhang
Anmin Hu
Guochun Chen
Siyuan Feng
Jinlin Xiang
Junbo Zhang
Yu Zheng
35
5
0
31 May 2022
Predicting vacant parking space availability zone-wisely: a graph based
  spatio-temporal prediction approach
Predicting vacant parking space availability zone-wisely: a graph based spatio-temporal prediction approach
Yajing Feng
Qian Hu
Zhenzhou Tang
13
4
0
03 May 2022
Spatio-Temporal Latent Graph Structure Learning for Traffic Forecasting
Spatio-Temporal Latent Graph Structure Learning for Traffic Forecasting
Jiabin Tang
Tang Qian
Shikun Liu
Shengdong Du
Jie Hu
Tianrui Li
AI4TS
22
22
0
25 Feb 2022
Dynamic Relation Discovery and Utilization in Multi-Entity Time Series
  Forecasting
Dynamic Relation Discovery and Utilization in Multi-Entity Time Series Forecasting
Lin Huang
Lijun Wu
Jia Zhang
Jiang Bian
Tie-Yan Liu
AI4TS
26
2
0
18 Feb 2022
Improving short-term bike sharing demand forecast through an irregular
  convolutional neural network
Improving short-term bike sharing demand forecast through an irregular convolutional neural network
Xinyu Li
Yang Xu
Xiaohu Zhang
Wenzhong Shi
Y. Yue
Qingquan Li
AI4TS
9
52
0
09 Feb 2022
Spatial-Temporal Sequential Hypergraph Network for Crime Prediction with
  Dynamic Multiplex Relation Learning
Spatial-Temporal Sequential Hypergraph Network for Crime Prediction with Dynamic Multiplex Relation Learning
Lianghao Xia
Chao Huang
Yong-mei Xu
Peng Dai
Liefeng Bo
Xiyue Zhang
Tianyi Chen
AI4TS
28
65
0
07 Jan 2022
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