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UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal
  Prediction

UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction

19 February 2024
Yuan Yuan
Jingtao Ding
J. Feng
Depeng Jin
Yong Li
    AI4TS
ArXivPDFHTML

Papers citing "UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction"

16 / 16 papers shown
Title
VTS-LLM: Domain-Adaptive LLM Agent for Enhancing Awareness in Vessel Traffic Services through Natural Language
VTS-LLM: Domain-Adaptive LLM Agent for Enhancing Awareness in Vessel Traffic Services through Natural Language
Sijin Sun
Liangbin Zhao
Ming Deng
Xiuju Fu
19
0
0
02 May 2025
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
73
0
0
02 Apr 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
71
0
0
27 Feb 2025
Strada-LLM: Graph LLM for traffic prediction
Strada-LLM: Graph LLM for traffic prediction
Seyed Mohamad Moghadas
Yangxintong Lyu
Bruno Cornelis
Alexandre Alahi
Adrian Munteanu
AI4TS
56
0
0
17 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
MM-Path: Multi-modal, Multi-granularity Path Representation Learning -- Extended Version
MM-Path: Multi-modal, Multi-granularity Path Representation Learning -- Extended Version
Ronghui Xu
Hanyin Cheng
Chenjuan Guo
Hongfan Gao
J. Hu
Sean Bin Yang
Bin Yang
69
4
0
03 Jan 2025
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
1
0
20 Nov 2024
FoMo: A Foundation Model for Mobile Traffic Forecasting with Diffusion Model
FoMo: A Foundation Model for Mobile Traffic Forecasting with Diffusion Model
Haoye Chai
Shiyuan Zhang
Xiaoqian Qi
Yong Li
23
0
0
20 Oct 2024
Incorporating Long-term Data in Training Short-term Traffic Prediction
  Model
Incorporating Long-term Data in Training Short-term Traffic Prediction Model
Xiannan Huang
Shuhan Qiu
Yan Cheng
Quan Yuan
Chao Yang
AI4TS
28
0
0
16 Oct 2024
CityBench: Evaluating the Capabilities of Large Language Model as World
  Model
CityBench: Evaluating the Capabilities of Large Language Model as World Model
Jie Feng
Jun Zhang
Junbo Yan
Xin Zhang
Tianjian Ouyang
Tianhui Liu
Yuwei Du
Siqi Guo
Yong Li
ELM
41
0
0
20 Jun 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
14
0
30 Jan 2024
Towards Generative Modeling of Urban Flow through Knowledge-enhanced
  Denoising Diffusion
Towards Generative Modeling of Urban Flow through Knowledge-enhanced Denoising Diffusion
Zhilun Zhou
Jingtao Ding
Yu Liu
Depeng Jin
Yong Li
DiffM
AI4CE
26
20
0
19 Sep 2023
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
291
2,712
0
24 May 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
97
54
0
08 Feb 2022
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
220
4,424
0
23 Jan 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
237
11,568
0
09 Mar 2017
1