Saved in:
| Main Authors: | Liu, Qingxiang, Sun, Sheng, Liang, Yuxuan, Xue, Jingjing, Liu, Min |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2404.03702 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Learning with Calibration: Exploring Test-Time Computing of Spatio-Temporal Forecasting
by: Chen, Wei, et al.
Published: (2025)
by: Chen, Wei, et al.
Published: (2025)
Expand and Compress: Exploring Tuning Principles for Continual Spatio-Temporal Graph Forecasting
by: Chen, Wei, et al.
Published: (2024)
by: Chen, Wei, et al.
Published: (2024)
ST-LoRA: Low-rank Adaptation for Spatio-Temporal Forecasting
by: Ruan, Weilin, et al.
Published: (2024)
by: Ruan, Weilin, et al.
Published: (2024)
Discrete Prototypical Memories for Federated Time Series Foundation Models
by: Deng, Liwei, et al.
Published: (2026)
by: Deng, Liwei, et al.
Published: (2026)
GeoMAE: Masking Representation Learning for Spatio-Temporal Graph Forecasting with Missing Values
by: Ke, Songyu, et al.
Published: (2025)
by: Ke, Songyu, et al.
Published: (2025)
FlowNet: Modeling Dynamic Spatio-Temporal Systems via Flow Propagation
by: Feng, Yutong, et al.
Published: (2025)
by: Feng, Yutong, et al.
Published: (2025)
RePST: Language Model Empowered Spatio-Temporal Forecasting via Semantic-Oriented Reprogramming
by: Wang, Hao, et al.
Published: (2024)
by: Wang, Hao, et al.
Published: (2024)
Tackling Noisy Clients in Federated Learning with End-to-end Label Correction
by: Jiang, Xuefeng, et al.
Published: (2024)
by: Jiang, Xuefeng, et al.
Published: (2024)
Learning from Complexity: Exploring Dynamic Sample Pruning of Spatio-Temporal Training
by: Chen, Wei, et al.
Published: (2026)
by: Chen, Wei, et al.
Published: (2026)
UrbanFM: Scaling Urban Spatio-Temporal Foundation Models
by: Chen, Wei, et al.
Published: (2026)
by: Chen, Wei, et al.
Published: (2026)
X-VORTEX: Spatio-Temporal Contrastive Learning for Wake Vortex Trajectory Forecasting
by: Qu, Zhan, et al.
Published: (2026)
by: Qu, Zhan, et al.
Published: (2026)
Adaptive Spatio-Temporal Graphs with Self-Supervised Pretraining for Multi-Horizon Weather Forecasting
by: Liu, Yao
Published: (2025)
by: Liu, Yao
Published: (2025)
Prompt-Based Spatio-Temporal Graph Transfer Learning
by: Hu, Junfeng, et al.
Published: (2024)
by: Hu, Junfeng, et al.
Published: (2024)
Spatio-Temporal Partial Sensing Forecast for Long-term Traffic
by: Liu, Zibo, et al.
Published: (2024)
by: Liu, Zibo, et al.
Published: (2024)
RAST: A Retrieval Augmented Spatio-Temporal Framework for Traffic Prediction
by: Ruan, Weilin, et al.
Published: (2025)
by: Ruan, Weilin, et al.
Published: (2025)
Spatio-Temporal Field Neural Networks for Air Quality Inference
by: Feng, Yutong, et al.
Published: (2024)
by: Feng, Yutong, 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)
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)
Nested Spatio-Temporal Time Series Forecasting
by: Ai, Yinghao, et al.
Published: (2026)
by: Ai, Yinghao, et al.
Published: (2026)
Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Network
by: Zhang, Weijia, et al.
Published: (2023)
by: Zhang, Weijia, et al.
Published: (2023)
Distribution-aware Online Continual Learning for Urban Spatio-Temporal Forecasting
by: Wang, Chengxin, et al.
Published: (2024)
by: Wang, Chengxin, et al.
Published: (2024)
REFOL: Resource-Efficient Federated Online Learning for Traffic Flow Forecasting
by: Liu, Qingxiang, et al.
Published: (2024)
by: Liu, Qingxiang, et al.
Published: (2024)
Spatio-temporal Causal Learning for Streamflow Forecasting
by: Wan, Shu, et al.
Published: (2024)
by: Wan, Shu, et al.
Published: (2024)
Dual-Kernel Graph Community Contrastive Learning
by: Chen, Xiang, et al.
Published: (2025)
by: Chen, Xiang, et al.
Published: (2025)
Event-CausNet: Unlocking Causal Knowledge from Text with Large Language Models for Reliable Spatio-Temporal Forecasting
by: Niu, Luyao, et al.
Published: (2025)
by: Niu, Luyao, et al.
Published: (2025)
Automated Spatio-Temporal Weather Modeling for Load Forecasting
by: Keisler, Julie, et al.
Published: (2024)
by: Keisler, Julie, et al.
Published: (2024)
A Survey on Diffusion Models for Time Series and Spatio-Temporal Data
by: Yang, Yiyuan, et al.
Published: (2024)
by: Yang, Yiyuan, et al.
Published: (2024)
SAMSGL: Series-Aligned Multi-Scale Graph Learning for Spatio-Temporal Forecasting
by: Zou, Xiaobei, et al.
Published: (2023)
by: Zou, Xiaobei, et al.
Published: (2023)
CauSTream: Causal Spatio-Temporal Representation Learning for Streamflow Forecasting
by: Wan, Shu, et al.
Published: (2025)
by: Wan, Shu, et al.
Published: (2025)
Cross-Subject EEG Emotion Recognition Based on Temporal Asynchronous Alignment Contrastive Learning
by: Xie, Ying, et al.
Published: (2026)
by: Xie, Ying, et al.
Published: (2026)
STTS-EAD: Improving Spatio-Temporal Learning Based Time Series Prediction via
by: Liang, Yuanyuan, et al.
Published: (2025)
by: Liang, Yuanyuan, et al.
Published: (2025)
AutoSTF: Decoupled Neural Architecture Search for Cost-Effective Automated Spatio-Temporal Forecasting
by: Lyu, Tengfei, et al.
Published: (2024)
by: Lyu, Tengfei, et al.
Published: (2024)
APFL: Analytic Personalized Federated Learning via Dual-Stream Least Squares
by: Fan, Kejia, et al.
Published: (2025)
by: Fan, Kejia, et al.
Published: (2025)
Perfect Alignment May be Poisonous to Graph Contrastive Learning
by: Liu, Jingyu, et al.
Published: (2023)
by: Liu, Jingyu, et al.
Published: (2023)
UltraSTF: Ultra-Compact Model for Large-Scale Spatio-Temporal Forecasting
by: Yeh, Chin-Chia Michael, et al.
Published: (2025)
by: Yeh, Chin-Chia Michael, et al.
Published: (2025)
Dual-Branched Spatio-temporal Fusion Network for Multi-horizon Tropical Cyclone Track Forecast
by: Liu, Zili, et al.
Published: (2022)
by: Liu, Zili, et al.
Published: (2022)
Semi-Supervised Federated Learning via Dual Contrastive Learning and Soft Labeling for Intelligent Fault Diagnosis
by: Dai, Yajiao, et al.
Published: (2025)
by: Dai, Yajiao, et al.
Published: (2025)
Adversarial Spatio-Temporal Attention Networks for Epileptic Seizure Forecasting
by: Li, Zan, et al.
Published: (2025)
by: Li, Zan, et al.
Published: (2025)
On ADMM in Heterogeneous Federated Learning: Personalization, Robustness, and Fairness
by: Zhu, Shengkun, et al.
Published: (2024)
by: Zhu, Shengkun, et al.
Published: (2024)
Enhancing Spatio-temporal Quantile Forecasting with Curriculum Learning: Lessons Learned
by: Yin, Du, et al.
Published: (2024)
by: Yin, Du, et al.
Published: (2024)
Similar Items
-
Learning with Calibration: Exploring Test-Time Computing of Spatio-Temporal Forecasting
by: Chen, Wei, et al.
Published: (2025) -
Expand and Compress: Exploring Tuning Principles for Continual Spatio-Temporal Graph Forecasting
by: Chen, Wei, et al.
Published: (2024) -
ST-LoRA: Low-rank Adaptation for Spatio-Temporal Forecasting
by: Ruan, Weilin, et al.
Published: (2024) -
Discrete Prototypical Memories for Federated Time Series Foundation Models
by: Deng, Liwei, et al.
Published: (2026) -
GeoMAE: Masking Representation Learning for Spatio-Temporal Graph Forecasting with Missing Values
by: Ke, Songyu, et al.
Published: (2025)