Spatio-temporal Prediction of Fine-Grained Origin-Destination Matrices with Applications in Ridesharing
Fuente:
arXiv
Saved in:
| Main Authors: | Yang, Run, Dai, Runpeng, Gao, Siran, Tang, Xiaocheng, Zhou, Fan, Zhu, Hongtu |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Breach in the Shield: Unveiling the Vulnerabilities of Large Language Models
by: Dai, Runpeng, et al.
Published: (2025)
by: Dai, Runpeng, et al.
Published: (2025)
Causal Deepsets for Off-policy Evaluation under Spatial or Spatio-temporal Interferences
by: Dai, Runpeng, et al.
Published: (2024)
by: Dai, Runpeng, et al.
Published: (2024)
Origin-Destination Demand Prediction: An Urban Radiation and Attraction Perspective
by: Ma, Xuan, et al.
Published: (2024)
by: Ma, Xuan, et al.
Published: (2024)
Causality Enhanced Origin-Destination Flow Prediction in Data-Scarce Cities
by: Feng, Tao, et al.
Published: (2025)
by: Feng, Tao, et al.
Published: (2025)
Fine-grained Spatio-temporal Event Prediction with Self-adaptive Anchor Graph
by: Zhou, Wang-Tao, et al.
Published: (2025)
by: Zhou, Wang-Tao, et al.
Published: (2025)
STContext: A Multifaceted Dataset for Developing Context-aware Spatio-temporal Crowd Mobility Prediction Models
by: Chen, Liyue, et al.
Published: (2025)
by: Chen, Liyue, et al.
Published: (2025)
CDE: Curiosity-Driven Exploration for Efficient Reinforcement Learning in Large Language Models
by: Dai, Runpeng, et al.
Published: (2025)
by: Dai, Runpeng, et al.
Published: (2025)
FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems
by: Erichson, N. Benjamin, et al.
Published: (2025)
by: Erichson, N. Benjamin, et al.
Published: (2025)
FLoRG: Federated Fine-tuning with Low-rank Gram Matrices and Procrustes Alignment
by: Meng, Chuiyang, et al.
Published: (2026)
by: Meng, Chuiyang, et al.
Published: (2026)
Spatio-temporal Causal Learning for Streamflow Forecasting
by: Wan, Shu, et al.
Published: (2024)
by: Wan, Shu, et al.
Published: (2024)
AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data
by: Tang, Jianheng, et al.
Published: (2025)
by: Tang, Jianheng, et al.
Published: (2025)
HISA: Efficient Hierarchical Indexing for Fine-Grained Sparse Attention
by: Xu, Yufei, et al.
Published: (2026)
by: Xu, Yufei, et al.
Published: (2026)
AllSpark: A Multimodal Spatio-Temporal General Intelligence Model with Ten Modalities via Language as a Reference Framework
by: Shao, Run, et al.
Published: (2023)
by: Shao, Run, et al.
Published: (2023)
Efficient and Interpretable Traffic Destination Prediction using Explainable Boosting Machines
by: Yousif, Yasin, et al.
Published: (2024)
by: Yousif, Yasin, et al.
Published: (2024)
STEMO: Early Spatio-temporal Forecasting with Multi-Objective Reinforcement Learning
by: Shao, Wei, et al.
Published: (2024)
by: Shao, Wei, et al.
Published: (2024)
EasyST: A Simple Framework for Spatio-Temporal Prediction
by: Tang, Jiabin, et al.
Published: (2024)
by: Tang, Jiabin, et al.
Published: (2024)
Multi-Hierarchical Fine-Grained Feature Mapping Driven by Feature Contribution for Molecular Odor Prediction
by: Xie, Hong Xin, et al.
Published: (2025)
by: Xie, Hong Xin, et al.
Published: (2025)
Discrete Diffusion in Large Language and Multimodal Models: A Survey
by: Yu, Runpeng, et al.
Published: (2025)
by: Yu, Runpeng, et al.
Published: (2025)
Multi-Level Collaboration in Model Merging
by: Li, Qi, et al.
Published: (2025)
by: Li, Qi, et al.
Published: (2025)
KAN or MLP: A Fairer Comparison
by: Yu, Runpeng, et al.
Published: (2024)
by: Yu, Runpeng, et al.
Published: (2024)
Deep Multi-View Channel-Wise Spatio-Temporal Network for Traffic Flow Prediction
by: Miao, Hao, et al.
Published: (2024)
by: Miao, Hao, et al.
Published: (2024)
Modeling Spatio-temporal Dynamical Systems with Neural Discrete Learning and Levels-of-Experts
by: Wang, Kun, et al.
Published: (2024)
by: Wang, Kun, et al.
Published: (2024)
Fine-Grained Iterative Adversarial Attacks with Limited Computation Budget
by: Hou, Zhichao, et al.
Published: (2025)
by: Hou, Zhichao, et al.
Published: (2025)
Spatio-temporal Multivariate Time Series Forecast with Chosen Variables
by: Liu, Zibo, et al.
Published: (2025)
by: Liu, Zibo, et al.
Published: (2025)
E-ICL: Enhancing Fine-Grained Emotion Recognition through the Lens of Prototype Theory
by: Ren, Zhaochun, et al.
Published: (2024)
by: Ren, Zhaochun, et al.
Published: (2024)
UrbanPulse: A Cross-City Deep Learning Framework for Ultra-Fine-Grained Population Transfer Prediction
by: Yang, Hongrong, et al.
Published: (2025)
by: Yang, Hongrong, et al.
Published: (2025)
Riemannian Liquid Spatio-Temporal Graph Network
by: Lu, Liangsi, et al.
Published: (2026)
by: Lu, Liangsi, et al.
Published: (2026)
Directly Aligning the Full Diffusion Trajectory with Fine-Grained Human Preference
by: Shen, Xiangwei, et al.
Published: (2025)
by: Shen, Xiangwei, et al.
Published: (2025)
Decorrelating the Future: Joint Frequency Domain Learning for Spatio-temporal Forecasting
by: Wang, Zepu, et al.
Published: (2026)
by: Wang, Zepu, et al.
Published: (2026)
Spacetime $E(n)$-Transformer: Equivariant Attention for Spatio-temporal Graphs
by: Charles, Sergio G.
Published: (2024)
by: Charles, Sergio G.
Published: (2024)
Crime Forecasting: A Spatio-temporal Analysis with Deep Learning Models
by: Mao, Li, et al.
Published: (2025)
by: Mao, Li, et al.
Published: (2025)
Enhancing Spatio-temporal Quantile Forecasting with Curriculum Learning: Lessons Learned
by: Yin, Du, et al.
Published: (2024)
by: Yin, Du, et al.
Published: (2024)
Beyond Fixed Variables: Expanding-variate Time Series Forecasting via Flat Scheme and Spatio-temporal Focal Learning
by: Ma, Minbo, et al.
Published: (2025)
by: Ma, Minbo, et al.
Published: (2025)
A Modular Multitask Reasoning Framework Integrating Spatio-temporal Models and LLMs
by: Hettige, Kethmi Hirushini, et al.
Published: (2025)
by: Hettige, Kethmi Hirushini, et al.
Published: (2025)
Origin Tracer: A Method for Detecting LoRA Fine-Tuning Origins in LLMs
by: Liang, Hongyu, et al.
Published: (2025)
by: Liang, Hongyu, et al.
Published: (2025)
STeP-Diff: Spatio-Temporal Physics-Informed Diffusion Models for Mobile Fine-Grained Pollution Forecasting
by: Zhou, Nan, et al.
Published: (2025)
by: Zhou, Nan, et al.
Published: (2025)
Damba-ST: Domain-Adaptive Mamba for Efficient Urban Spatio-Temporal Prediction
by: An, Rui, et al.
Published: (2025)
by: An, Rui, et al.
Published: (2025)
RAST: A Retrieval Augmented Spatio-Temporal Framework for Traffic Prediction
by: Ruan, Weilin, et al.
Published: (2025)
by: Ruan, Weilin, et al.
Published: (2025)
POWQMIX: Weighted Value Factorization with Potentially Optimal Joint Actions Recognition for Cooperative Multi-Agent Reinforcement Learning
by: Huang, Chang, et al.
Published: (2024)
by: Huang, Chang, et al.
Published: (2024)
Towards Effective Fusion and Forecasting of Multimodal Spatio-temporal Data for Smart Mobility
by: Wang, Chenxing
Published: (2024)
by: Wang, Chenxing
Published: (2024)
Similar Items
-
Breach in the Shield: Unveiling the Vulnerabilities of Large Language Models
by: Dai, Runpeng, et al.
Published: (2025) -
Causal Deepsets for Off-policy Evaluation under Spatial or Spatio-temporal Interferences
by: Dai, Runpeng, et al.
Published: (2024) -
Origin-Destination Demand Prediction: An Urban Radiation and Attraction Perspective
by: Ma, Xuan, et al.
Published: (2024) -
Causality Enhanced Origin-Destination Flow Prediction in Data-Scarce Cities
by: Feng, Tao, et al.
Published: (2025) -
Fine-grained Spatio-temporal Event Prediction with Self-adaptive Anchor Graph
by: Zhou, Wang-Tao, et al.
Published: (2025)