Saved in:
| Main Authors: | Zhang, Huaiwu, Xia, Yutong, Zhong, Siru, Wang, Kun, Tong, Zekun, Wen, Qingsong, Zimmermann, Roger, Liang, Yuxuan |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2405.18910 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
UrbanCLIP: Learning Text-enhanced Urban Region Profiling with Contrastive Language-Image Pretraining from the Web
by: Yan, Yibo, et al.
Published: (2023)
by: Yan, Yibo, et al.
Published: (2023)
CaPulse: Detecting Anomalies by Tuning in to the Causal Rhythms of Time Series
by: Xia, Yutong, et al.
Published: (2025)
by: Xia, Yutong, et al.
Published: (2025)
UrbanVLP: Multi-Granularity Vision-Language Pretraining for Urban Socioeconomic Indicator Prediction
by: Hao, Xixuan, et al.
Published: (2024)
by: Hao, Xixuan, et al.
Published: (2024)
DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion Models
by: Wen, Haomin, et al.
Published: (2023)
by: Wen, Haomin, et al.
Published: (2023)
Causal Time Series Generation via Diffusion Models
by: Xia, Yutong, et al.
Published: (2025)
by: Xia, Yutong, et al.
Published: (2025)
Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classification
by: Xia, Yutong, et al.
Published: (2024)
by: Xia, Yutong, et al.
Published: (2024)
Spatio-Temporal Field Neural Networks for Air Quality Inference
by: Feng, Yutong, et al.
Published: (2024)
by: Feng, Yutong, et al.
Published: (2024)
A Real‐Time Data‐Driven Cycling Routing Approach: A Case Study in Singapore
by: Yutong Yang, et al.
Published: (2026)
by: Yutong Yang, et al.
Published: (2026)
Breaking the Regional Barrier: Inductive Semantic Topology Learning for Worldwide Air Quality Forecasting
by: Cui, Zhiqing, et al.
Published: (2026)
by: Cui, Zhiqing, et al.
Published: (2026)
Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting
by: Zhong, Siru, et al.
Published: (2025)
by: Zhong, Siru, et al.
Published: (2025)
Perceive, Route and Modulate: Dynamic Pattern Recalibration for Time Series Forecasting
by: Zhong, Siru, et al.
Published: (2026)
by: Zhong, Siru, et al.
Published: (2026)
UrbanCross: Enhancing Satellite Image-Text Retrieval with Cross-Domain Adaptation
by: Zhong, Siru, et al.
Published: (2024)
by: Zhong, Siru, et al.
Published: (2024)
Foundation Models for Spatio-Temporal Data Science: A Tutorial and Survey
by: Liang, Yuxuan, et al.
Published: (2025)
by: Liang, Yuxuan, et al.
Published: (2025)
OccamVTS: Distilling Vision Models to 1% Parameters for Time Series Forecasting
by: Lyu, Sisuo, et al.
Published: (2025)
by: Lyu, Sisuo, et al.
Published: (2025)
Vision-Enhanced Time Series Forecasting via Latent Diffusion Models
by: Ruan, Weilin, et al.
Published: (2025)
by: Ruan, Weilin, et al.
Published: (2025)
Navigating Spatio-Temporal Heterogeneity: A Graph Transformer Approach for Traffic Forecasting
by: Zhou, Jianxiang, et al.
Published: (2024)
by: Zhou, Jianxiang, et al.
Published: (2024)
DynST: Dynamic Sparse Training for Resource-Constrained Spatio-Temporal Forecasting
by: Wu, Hao, et al.
Published: (2024)
by: Wu, Hao, et al.
Published: (2024)
Cross Space and Time: A Spatio-Temporal Unitized Model for Traffic Flow Forecasting
by: Ruan, Weilin, et al.
Published: (2024)
by: Ruan, Weilin, et al.
Published: (2024)
A Cost-Effective Framework for Predicting Parking Availability Using Geospatial Data and Machine Learning
by: Bagosher, Madyan, et al.
Published: (2025)
by: Bagosher, Madyan, et al.
Published: (2025)
UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting
by: Liu, Xu, et al.
Published: (2023)
by: Liu, Xu, et al.
Published: (2023)
TS-Memory: Plug-and-Play Memory for Time Series Foundation Models
by: Lyu, Sisuo, et al.
Published: (2026)
by: Lyu, Sisuo, et al.
Published: (2026)
CulturePark: Boosting Cross-cultural Understanding in Large Language Models
by: Li, Cheng, et al.
Published: (2024)
by: Li, Cheng, et al.
Published: (2024)
LaDe: The First Comprehensive Last-mile Delivery Dataset from Industry
by: Wu, Lixia, et al.
Published: (2023)
by: Wu, Lixia, et al.
Published: (2023)
FGBench: A Dataset and Benchmark for Molecular Property Reasoning at Functional Group-Level in Large Language Models
by: Liu, Xuan, et al.
Published: (2025)
by: Liu, Xuan, et al.
Published: (2025)
Automated Parking Planning with Vision-Based BEV Approach
by: Zhao, Yuxuan
Published: (2024)
by: Zhao, Yuxuan
Published: (2024)
Parking Availability Prediction via Fusing Multi-Source Data with A Self-Supervised Learning Enhanced Spatio-Temporal Inverted Transformer
by: Huang, Yin, et al.
Published: (2025)
by: Huang, Yin, et al.
Published: (2025)
Frequency-Domain Data-Driven Predictive Control
by: Meijer, T. J., et al.
Published: (2024)
by: Meijer, T. J., et al.
Published: (2024)
AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks
by: Wang, Qiongyan, et al.
Published: (2025)
by: Wang, Qiongyan, et al.
Published: (2025)
Graph Data Selection for Domain Adaptation: A Model-Free Approach
by: Li, Ting-Wei, et al.
Published: (2025)
by: Li, Ting-Wei, et al.
Published: (2025)
Machine Learning‐Based Prediction of Parking Space Availability in IoT‐Enabled Smart Parking Management Systems
by: Anchal Dahiya, et al.
Published: (2024)
by: Anchal Dahiya, et al.
Published: (2024)
Analysis of Classifier Training on Synthetic Data for Cross-Domain Datasets
by: Cortés, Andoni, et al.
Published: (2024)
by: Cortés, Andoni, et al.
Published: (2024)
FlowNet: Modeling Dynamic Spatio-Temporal Systems via Flow Propagation
by: Feng, Yutong, et al.
Published: (2025)
by: Feng, Yutong, et al.
Published: (2025)
AgentSafe: Safeguarding Large Language Model-based Multi-agent Systems via Hierarchical Data Management
by: Mao, Junyuan, et al.
Published: (2025)
by: Mao, Junyuan, et al.
Published: (2025)
From Indexing to Coding: A New Paradigm for Data Availability Sampling
by: Grundei, Moritz, et al.
Published: (2025)
by: Grundei, Moritz, et al.
Published: (2025)
DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition
by: Luo, Hanjun, et al.
Published: (2024)
by: Luo, Hanjun, et al.
Published: (2024)
DataLight: Offline Data-Driven Traffic Signal Control
by: Zhang, Liang, et al.
Published: (2023)
by: Zhang, Liang, et al.
Published: (2023)
Intelligent Cross-Organizational Process Mining: A Survey and New Perspectives
by: Yang, Yiyuan, et al.
Published: (2024)
by: Yang, Yiyuan, et al.
Published: (2024)
Semi-Data-Driven Model Predictive Control: A Physics-Informed Data-Driven Control Approach
by: Zieglmeier, Sebastian, et al.
Published: (2025)
by: Zieglmeier, Sebastian, et al.
Published: (2025)
Learning to Factorize and Adapt: A Versatile Approach Toward Universal Spatio-Temporal Foundation Models
by: Zhong, Siru, et al.
Published: (2026)
by: Zhong, Siru, et al.
Published: (2026)
Deep Learning for Cross-Domain Data Fusion in Urban Computing: Taxonomy, Advances, and Outlook
by: Zou, Xingchen, et al.
Published: (2024)
by: Zou, Xingchen, et al.
Published: (2024)
Similar Items
-
UrbanCLIP: Learning Text-enhanced Urban Region Profiling with Contrastive Language-Image Pretraining from the Web
by: Yan, Yibo, et al.
Published: (2023) -
CaPulse: Detecting Anomalies by Tuning in to the Causal Rhythms of Time Series
by: Xia, Yutong, et al.
Published: (2025) -
UrbanVLP: Multi-Granularity Vision-Language Pretraining for Urban Socioeconomic Indicator Prediction
by: Hao, Xixuan, et al.
Published: (2024) -
DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion Models
by: Wen, Haomin, et al.
Published: (2023) -
Causal Time Series Generation via Diffusion Models
by: Xia, Yutong, et al.
Published: (2025)