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Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models

Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models

30 January 2024
Weijiao Zhang
Jindong Han
Zhao Xu
Hang Ni
Hao Liu
Hui Xiong
Hui Xiong
    AI4CE
ArXivPDFHTML

Papers citing "Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models"

28 / 28 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
43
0
0
02 Apr 2025
AllSpark: A Multimodal Spatio-Temporal General Intelligence Model with Ten Modalities via Language as a Reference Framework
AllSpark: A Multimodal Spatio-Temporal General Intelligence Model with Ten Modalities via Language as a Reference Framework
Run Shao
Cheng Yang
Qiujun Li
Qing Zhu
Yongjun Zhang
...
Yu Liu
Yong Tang
Dapeng Liu
Shizhong Yang
Haifeng Li
72
0
0
08 Jan 2025
Exploring Large Language Models for Human Mobility Prediction under
  Public Events
Exploring Large Language Models for Human Mobility Prediction under Public Events
Yuebing Liang
Yichao Liu
Xiaohan Wang
Zhan Zhao
89
11
0
29 Nov 2023
Optimizing and Fine-tuning Large Language Model for Urban Renewal
Optimizing and Fine-tuning Large Language Model for Urban Renewal
Xi Wang
Xianyao Ling
Tom Zhang
Xuecao Li
Shaolan Wang
Zhixing Li
Liang Zhang
Peng Gong
31
7
0
27 Nov 2023
One Fits All: Universal Time Series Analysis by Pretrained LM and
  Specially Designed Adaptors
One Fits All: Universal Time Series Analysis by Pretrained LM and Specially Designed Adaptors
Tian Zhou
Peisong Niu
Xue Wang
Liang Sun
Rong Jin
AI4TS
31
2
0
24 Nov 2023
PT-Tuning: Bridging the Gap between Time Series Masked Reconstruction
  and Forecasting via Prompt Token Tuning
PT-Tuning: Bridging the Gap between Time Series Masked Reconstruction and Forecasting via Prompt Token Tuning
Hao Liu
Jinrui Gan
Xiaoxuan Fan
Yi Zhang
Chuanxian Luo
...
Guangxin Jiang
Yucheng Qian
Changwei Zhao
Huan Ma
Zhenyu Guo
AI4TS
26
2
0
07 Nov 2023
GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks
GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks
Zhonghang Li
Lianghao Xia
Yong-mei Xu
Chao Huang
AI4TS
AI4CE
43
6
0
07 Nov 2023
Machine Learning for Urban Air Quality Analytics: A Survey
Machine Learning for Urban Air Quality Analytics: A Survey
Jindong Han
Weijiao Zhang
Hao Liu
Hui Xiong
AI4CE
43
4
0
14 Oct 2023
LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving
LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving
Hao Sha
Yao Mu
Yuxuan Jiang
Li Chen
Chenfeng Xu
Ping Luo
Shengbo Eben Li
Masayoshi Tomizuka
Wei Zhan
Mingyu Ding
56
79
0
04 Oct 2023
PromptST: Prompt-Enhanced Spatio-Temporal Multi-Attribute Prediction
PromptST: Prompt-Enhanced Spatio-Temporal Multi-Attribute Prediction
Zijian Zhang
Xiangyu Zhao
Qidong Liu
Chunxu Zhang
Qian Ma
Wanyu Wang
Hongwei Zhao
Yiqi Wang
Zitao Liu
AI4TS
46
3
0
18 Sep 2023
SAMRS: Scaling-up Remote Sensing Segmentation Dataset with Segment
  Anything Model
SAMRS: Scaling-up Remote Sensing Segmentation Dataset with Segment Anything Model
Di Wang
Jing Zhang
Bo Du
Minqiang Xu
Lin Liu
Dacheng Tao
L. Zhang
75
52
0
03 May 2023
CSP: Self-Supervised Contrastive Spatial Pre-Training for
  Geospatial-Visual Representations
CSP: Self-Supervised Contrastive Spatial Pre-Training for Geospatial-Visual Representations
Gengchen Mai
Ni Lao
Yutong He
Jiaming Song
Stefano Ermon
38
30
0
01 May 2023
Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial
  Representation Learning
Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial Representation Learning
Colorado Reed
Ritwik Gupta
Shufan Li
S. Brockman
Christopher Funk
Brian Clipp
Kurt Keutzer
Salvatore Candido
M. Uyttendaele
Trevor Darrell
79
93
0
30 Dec 2022
SpaBERT: A Pretrained Language Model from Geographic Data for Geo-Entity
  Representation
SpaBERT: A Pretrained Language Model from Geographic Data for Geo-Entity Representation
Zekun Li
Jina Kim
Yao-Yi Chiang
Muhao Chen
41
17
0
21 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
35
22
0
05 Oct 2022
Leveraging Language Foundation Models for Human Mobility Forecasting
Leveraging Language Foundation Models for Human Mobility Forecasting
Hao Xue
Bhanu Prakash Voutharoja
Flora D. Salim
AI4TS
73
44
0
11 Sep 2022
Large Language Models are Zero-Shot Reasoners
Large Language Models are Zero-Shot Reasoners
Takeshi Kojima
S. Gu
Machel Reid
Yutaka Matsuo
Yusuke Iwasawa
ReLM
LRM
264
2,712
0
24 May 2022
Model Reprogramming: Resource-Efficient Cross-Domain Machine Learning
Model Reprogramming: Resource-Efficient Cross-Domain Machine Learning
Pin-Yu Chen
VLM
56
40
0
22 Feb 2022
Domain Adversarial Spatial-Temporal Network: A Transferable Framework
  for Short-term Traffic Forecasting across Cities
Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across Cities
Yihong Tang
Ao Qu
A. Chow
W. Lam
S. Wong
Wei-Ying Ma
AI4TS
48
31
0
08 Feb 2022
CoST: Contrastive Learning of Disentangled Seasonal-Trend
  Representations for Time Series Forecasting
CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting
Gerald Woo
Chenghao Liu
Doyen Sahoo
Akshat Kumar
Steven C. H. Hoi
AI4TS
85
357
0
03 Feb 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
233
5,353
0
11 Nov 2021
Attention Augmented Convolutional Transformer for Tabular Time-series
Attention Augmented Convolutional Transformer for Tabular Time-series
Sharath M. Shankaranarayana
D. Runje
LMTD
AI4TS
23
7
0
05 Oct 2021
Region Invariant Normalizing Flows for Mobility Transfer
Region Invariant Normalizing Flows for Mobility Transfer
Vinayak Gupta
Srikanta J. Bedathur
27
10
0
13 Sep 2021
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
252
2,999
0
18 Apr 2021
Multi-Time Attention Networks for Irregularly Sampled Time Series
Multi-Time Attention Networks for Irregularly Sampled Time Series
Satya Narayan Shukla
Benjamin M. Marlin
AI4TS
75
142
0
25 Jan 2021
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
212
3,054
0
23 Jan 2020
Using Deep Learning and Google Street View to Estimate the Demographic
  Makeup of the US
Using Deep Learning and Google Street View to Estimate the Demographic Makeup of the US
Timnit Gebru
J. Krause
Yilun Wang
Duyun Chen
Jia Deng
Erez Aiden Lieberman
Li Fei-Fei
HAI
53
377
0
22 Feb 2017
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
212
29,632
0
16 Jan 2013
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