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

50 / 265 papers shown
Title
LLaMA: Open and Efficient Foundation Language Models
LLaMA: Open and Efficient Foundation Language Models
Hugo Touvron
Thibaut Lavril
Gautier Izacard
Xavier Martinet
Marie-Anne Lachaux
...
Faisal Azhar
Aurelien Rodriguez
Armand Joulin
Edouard Grave
Guillaume Lample
ALM
PILM
1.2K
13,100
0
27 Feb 2023
FedCLIP: Fast Generalization and Personalization for CLIP in Federated
  Learning
FedCLIP: Fast Generalization and Personalization for CLIP in Federated Learning
Wang Lu
Xixu Hu
Jindong Wang
Xingxu Xie
FedML
VLM
54
54
0
27 Feb 2023
Knowledge-infused Contrastive Learning for Urban Imagery-based
  Socioeconomic Prediction
Knowledge-infused Contrastive Learning for Urban Imagery-based Socioeconomic Prediction
Yu Liu
Xin Zhang
Jingtao Ding
Yanxin Xi
Yong Li
62
34
0
25 Feb 2023
One Fits All:Power General Time Series Analysis by Pretrained LM
One Fits All:Power General Time Series Analysis by Pretrained LM
Tian Zhou
Peisong Niu
Xue Wang
Liang Sun
Rong Jin
AI4TS
73
412
0
23 Feb 2023
A Comprehensive Survey on Pretrained Foundation Models: A History from
  BERT to ChatGPT
A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT
Ce Zhou
Qian Li
Chen Li
Jun Yu
Yixin Liu
...
P. Xie
Caiming Xiong
Jian Pei
Philip S. Yu
U. Chicago
AI4CE
55
518
0
18 Feb 2023
Towards Geospatial Foundation Models via Continual Pretraining
Towards Geospatial Foundation Models via Continual Pretraining
Matías Mendieta
Boran Han
Xingjian Shi
Yi Zhu
Chen Chen
VLM
AI4CE
81
70
0
09 Feb 2023
SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling
SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling
Jiaxiang Dong
Haixu Wu
Haoran Zhang
Li Zhang
Jianmin Wang
Mingsheng Long
AI4TS
91
92
0
02 Feb 2023
Learning Generalized Zero-Shot Learners for Open-Domain Image
  Geolocalization
Learning Generalized Zero-Shot Learners for Open-Domain Image Geolocalization
Lukas Haas
Silas Alberti
Michal Skreta
VLM
60
22
0
01 Feb 2023
A Comprehensive Survey of Continual Learning: Theory, Method and
  Application
A Comprehensive Survey of Continual Learning: Theory, Method and Application
Liyuan Wang
Xingxing Zhang
Hang Su
Jun Zhu
KELM
CLL
123
670
0
31 Jan 2023
ClimaX: A foundation model for weather and climate
ClimaX: A foundation model for weather and climate
Tung Nguyen
Johannes Brandstetter
Ashish Kapoor
Jayesh K. Gupta
Aditya Grover
AI4Cl
AI4CE
57
255
0
24 Jan 2023
Prompt Federated Learning for Weather Forecasting: Toward Foundation
  Models on Meteorological Data
Prompt Federated Learning for Weather Forecasting: Toward Foundation Models on Meteorological Data
Shen Chen
Guodong Long
Tao Shen
Jing Jiang
AI4TS
52
37
0
22 Jan 2023
MGeo: Multi-Modal Geographic Pre-Training Method
MGeo: Multi-Modal Geographic Pre-Training Method
Ruixue Ding
Boli Chen
Pengjun Xie
Fei Huang
Xin Li
Qiang-Wei Zhang
Yao Xu
46
18
0
11 Jan 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
153
184
0
30 Dec 2022
ResFed: Communication Efficient Federated Learning by Transmitting Deep
  Compressed Residuals
ResFed: Communication Efficient Federated Learning by Transmitting Deep Compressed Residuals
Rui Song
Liguo Zhou
Lingjuan Lyu
Andreas Festag
Alois Knoll
FedML
58
5
0
11 Dec 2022
A Time Series is Worth 64 Words: Long-term Forecasting with Transformers
A Time Series is Worth 64 Words: Long-term Forecasting with Transformers
Yuqi Nie
Nam H. Nguyen
Phanwadee Sinthong
Jayant Kalagnanam
AIFin
AI4TS
72
1,332
0
27 Nov 2022
Self-supervised Trajectory Representation Learning with Temporal
  Regularities and Travel Semantics
Self-supervised Trajectory Representation Learning with Temporal Regularities and Travel Semantics
Jiawei Jiang
Dayan Pan
Houxing Ren
Xiaohan Jiang
Chao Li
Jingyuan Wang
AI4TS
55
67
0
17 Nov 2022
Time-aware Prompting for Text Generation
Time-aware Prompting for Text Generation
Shuyang Cao
Lu Wang
52
12
0
03 Nov 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
99
31
0
21 Oct 2022
Machine Learning for a Sustainable Energy Future
Machine Learning for a Sustainable Energy Future
Zhenpeng Yao
Yanwei Lum
Andrew K. Johnston
L. M. Mejia-Mendoza
Xiaoxia Zhou
Yonggang Wen
Alán Aspuru-Guzik
E. Sargent
Z. Seh
58
226
0
19 Oct 2022
Practical Adversarial Attacks on Spatiotemporal Traffic Forecasting
  Models
Practical Adversarial Attacks on Spatiotemporal Traffic Forecasting Models
Fan Liu
Haowen Liu
Wenzhao Jiang
OOD
98
32
0
05 Oct 2022
PromptCast: A New Prompt-based Learning Paradigm for Time Series
  Forecasting
PromptCast: A New Prompt-based Learning Paradigm for Time Series Forecasting
Hao Xue
Flora D.Salim
AI4TS
84
154
0
20 Sep 2022
Jointly Contrastive Representation Learning on Road Network and
  Trajectory
Jointly Contrastive Representation Learning on Road Network and Trajectory
Zhenyu Mao
Ziyue Li
Dedong Li
Lei Bai
Rui Zhao
AI4TS
63
48
0
14 Sep 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
135
72
0
11 Sep 2022
Foundations and Trends in Multimodal Machine Learning: Principles,
  Challenges, and Open Questions
Foundations and Trends in Multimodal Machine Learning: Principles, Challenges, and Open Questions
Paul Pu Liang
Amir Zadeh
Louis-Philippe Morency
79
73
0
07 Sep 2022
FedPrompt: Communication-Efficient and Privacy Preserving Prompt Tuning
  in Federated Learning
FedPrompt: Communication-Efficient and Privacy Preserving Prompt Tuning in Federated Learning
Haodong Zhao
Wei Du
Fang Li
Peixuan Li
Gongshen Liu
FedML
46
69
0
25 Aug 2022
FedOBD: Opportunistic Block Dropout for Efficiently Training Large-scale
  Neural Networks through Federated Learning
FedOBD: Opportunistic Block Dropout for Efficiently Training Large-scale Neural Networks through Federated Learning
Yuanyuan Chen
Zichen Chen
Pengcheng Wu
Han Yu
AI4CE
57
18
0
10 Aug 2022
Advancing Plain Vision Transformer Towards Remote Sensing Foundation
  Model
Advancing Plain Vision Transformer Towards Remote Sensing Foundation Model
Di Wang
Qiming Zhang
Yufei Xu
Jing Zhang
Bo Du
Dacheng Tao
Lefei Zhang
59
255
0
08 Aug 2022
Pre-training General Trajectory Embeddings with Maximum Multi-view
  Entropy Coding
Pre-training General Trajectory Embeddings with Maximum Multi-view Entropy Coding
Yan Lin
Huaiyu Wan
Shengnan Guo
Jilin Hu
Christian S. Jensen
Youfang Lin
AI4TS
63
21
0
29 Jul 2022
Self-supervised Learning in Remote Sensing: A Review
Self-supervised Learning in Remote Sensing: A Review
Yi Wang
C. Albrecht
Nassim Ait Ali Braham
Lichao Mou
Xiao Xiang Zhu
71
223
0
27 Jun 2022
Pre-training Enhanced Spatial-temporal Graph Neural Network for
  Multivariate Time Series Forecasting
Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series Forecasting
Zezhi Shao
Zhao Zhang
Fei Wang
Yongjun Xu
AI4TS
89
222
0
18 Jun 2022
Decentralized Training of Foundation Models in Heterogeneous
  Environments
Decentralized Training of Foundation Models in Heterogeneous Environments
Binhang Yuan
Yongjun He
Jared Davis
Tianyi Zhang
Tri Dao
Beidi Chen
Percy Liang
Christopher Ré
Ce Zhang
63
93
0
02 Jun 2022
Spatio-Temporal Graph Few-Shot Learning with Cross-City Knowledge
  Transfer
Spatio-Temporal Graph Few-Shot Learning with Cross-City Knowledge Transfer
Bin Lu
Xiaoying Gan
Weinan Zhang
Huaxiu Yao
Luoyi Fu
Xinbing Wang
AI4TS
51
73
0
27 May 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
488
4,077
0
24 May 2022
Visual Spatial Reasoning
Visual Spatial Reasoning
Fangyu Liu
Guy Edward Toh Emerson
Nigel Collier
ReLM
88
174
0
30 Apr 2022
STaR: Bootstrapping Reasoning With Reasoning
STaR: Bootstrapping Reasoning With Reasoning
E. Zelikman
Yuhuai Wu
Jesse Mu
Noah D. Goodman
ReLM
LRM
91
481
0
28 Mar 2022
Visual Prompt Tuning
Visual Prompt Tuning
Menglin Jia
Luming Tang
Bor-Chun Chen
Claire Cardie
Serge Belongie
Bharath Hariharan
Ser-Nam Lim
VLM
VPVLM
139
1,615
0
23 Mar 2022
ERNIE-GeoL: A Geography-and-Language Pre-trained Model and its
  Applications in Baidu Maps
ERNIE-GeoL: A Geography-and-Language Pre-trained Model and its Applications in Baidu Maps
Jizhou Huang
Haifeng Wang
Yibo Sun
Yunsheng Shi
Zhengjie Huang
An Zhuo
Shikun Feng
48
45
0
17 Mar 2022
FourCastNet: A Global Data-driven High-resolution Weather Model using
  Adaptive Fourier Neural Operators
FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators
Jaideep Pathak
Shashank Subramanian
P. Harrington
S. Raja
Ashesh Chattopadhyay
...
Zong-Yi Li
Kamyar Azizzadenesheli
Pedram Hassanzadeh
K. Kashinath
Anima Anandkumar
AI4Cl
200
682
0
22 Feb 2022
Model Reprogramming: Resource-Efficient Cross-Domain Machine Learning
Model Reprogramming: Resource-Efficient Cross-Domain Machine Learning
Pin-Yu Chen
VLM
121
62
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
130
58
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
142
401
0
03 Feb 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
738
9,267
0
28 Jan 2022
Doing More with Less: Overcoming Data Scarcity for POI Recommendation
  via Cross-Region Transfer
Doing More with Less: Overcoming Data Scarcity for POI Recommendation via Cross-Region Transfer
Vinayak Gupta
Srikanta J. Bedathur
75
19
0
16 Jan 2022
Self-supervised Autoregressive Domain Adaptation for Time Series Data
Self-supervised Autoregressive Domain Adaptation for Time Series Data
Mohamed Ragab
Emadeldeen Eldele
Zhenghua Chen
Min-man Wu
C. Kwoh
Xiaoli Li
AI4TS
44
50
0
29 Nov 2021
Adaptive Fourier Neural Operators: Efficient Token Mixers for
  Transformers
Adaptive Fourier Neural Operators: Efficient Token Mixers for Transformers
John Guibas
Morteza Mardani
Zong-Yi Li
Andrew Tao
Anima Anandkumar
Bryan Catanzaro
57
237
0
24 Nov 2021
Incentive Mechanisms for Federated Learning: From Economic and Game
  Theoretic Perspective
Incentive Mechanisms for Federated Learning: From Economic and Game Theoretic Perspective
Xuezhen Tu
Kun Zhu
Nguyen Cong Luong
Dusit Niyato
Yang Zhang
Juan Li
FedML
AI4CE
65
120
0
20 Nov 2021
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
427
7,705
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
79
8
0
05 Oct 2021
Region Invariant Normalizing Flows for Mobility Transfer
Region Invariant Normalizing Flows for Mobility Transfer
Vinayak Gupta
Srikanta J. Bedathur
84
12
0
13 Sep 2021
GeoVectors: A Linked Open Corpus of OpenStreetMap Embeddings on World
  Scale
GeoVectors: A Linked Open Corpus of OpenStreetMap Embeddings on World Scale
Nicolas Tempelmeier
Simon Gottschalk
Elena Demidova
45
14
0
30 Aug 2021
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