Copertina

Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Liang, Daojun, Zhang, Haixia, Yuan, Dongfeng
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

DistPred: A Distribution-Free Probabilistic Inference Method for Regression and Forecasting
di: Liang, Daojun, et al.
Pubblicazione: (2024)

Multi-Head Encoding for Extreme Label Classification
di: Liang, Daojun, et al.
Pubblicazione: (2024)

Does Long-Term Series Forecasting Need Complex Attention and Extra Long Inputs?
di: Liang, Daojun, et al.
Pubblicazione: (2023)

Minusformer: Improving Time Series Forecasting by Progressively Learning Residuals
di: Liang, Daojun, et al.
Pubblicazione: (2024)

Act Now: A Novel Online Forecasting Framework for Large-Scale Streaming Data
di: Liang, Daojun, et al.
Pubblicazione: (2024)

Wireless Traffic Prediction with Large Language Model
di: Zhang, Chuanting, et al.
Pubblicazione: (2025)

There are no Champions in Supervised Long-Term Time Series Forecasting
di: Brigato, Lorenzo, et al.
Pubblicazione: (2025)

Extralonger: Toward a Unified Perspective of Spatial-Temporal Factors for Extra-Long-Term Traffic Forecasting
di: Zhang, Zhiwei, et al.
Pubblicazione: (2024)

Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective
di: Fang, Yuchen, et al.
Pubblicazione: (2024)

DeepBooTS: Dual-Stream Residual Boosting for Drift-Resilient Time-Series Forecasting
di: Liang, Daojun, et al.
Pubblicazione: (2025)

The Forecast After the Forecast: A Post-Processing Shift in Time Series
di: Liang, Daojun, et al.
Pubblicazione: (2026)

PESD-TSF: A Period-Aware and Explicit Structured Decomposition Framework for Long-Term Time Series Forecasting
di: Wang, Hua, et al.
Pubblicazione: (2026)

Local Truncation Error-Guided Neural ODEs for Large Scale Traffic Forecasting
di: Zhang, Xiao, et al.
Pubblicazione: (2026)

Multi-View Neural Differential Equations for Continuous-Time Stream Data in Long-Term Traffic Forecasting
di: Liu, Zibo, et al.
Pubblicazione: (2024)

Efficient Traffic Forecasting on Large-Scale Road Network by Regularized Adaptive Graph Convolution
di: Wu, Kaiqi, et al.
Pubblicazione: (2025)

Multi-Scale Dilated Convolution Network for Long-Term Time Series Forecasting
di: Li, Feifei, et al.
Pubblicazione: (2024)

Evaluating Self-Supervised Learning via Risk Decomposition
di: Dubois, Yann, et al.
Pubblicazione: (2023)

Spatiotemporal-aware Trend-Seasonality Decomposition Network for Traffic Flow Forecasting
di: Cao, Lingxiao, et al.
Pubblicazione: (2025)

UoMo: A Universal Model of Mobile Traffic Forecasting for Wireless Network Optimization
di: Chai, Haoye, et al.
Pubblicazione: (2024)

Label-free Monitoring of Self-Supervised Learning Progress
di: Xu, Isaac, et al.
Pubblicazione: (2024)

ISMRNN: An Implicitly Segmented RNN Method with Mamba for Long-Term Time Series Forecasting
di: Zhao, GaoXiang, et al.
Pubblicazione: (2024)

Embracing Large Language Models in Traffic Flow Forecasting
di: Zhao, Yusheng, et al.
Pubblicazione: (2024)

GraphSparseNet: a Novel Method for Large Scale Traffic Flow Prediction
di: Kong, Weiyang, et al.
Pubblicazione: (2025)

FaST: Efficient and Effective Long-Horizon Forecasting for Large-Scale Spatial-Temporal Graphs via Mixture-of-Experts
di: Zhao, Yiji, et al.
Pubblicazione: (2026)

Spatio-Temporal Partial Sensing Forecast for Long-term Traffic
di: Liu, Zibo, et al.
Pubblicazione: (2024)

Dynamic Long-Term Time-Series Forecasting via Meta Transformer Networks
di: Ma'sum, Muhammad Anwar, et al.
Pubblicazione: (2024)

Data Augmentation Policy Search for Long-Term Forecasting
di: Nochumsohn, Liran, et al.
Pubblicazione: (2024)

Hybrid Transformer and Spatial-Temporal Self-Supervised Learning for Long-term Traffic Prediction
di: Zhu, Wang, et al.
Pubblicazione: (2024)

Multi-Modal View Enhanced Large Vision Models for Long-Term Time Series Forecasting
di: Shen, ChengAo, et al.
Pubblicazione: (2025)

Leveraging Multivariate Long-Term History Representation for Time Series Forecasting
di: Zhang, Huiliang, et al.
Pubblicazione: (2025)

Self-Supervised Contrastive Learning for Long-term Forecasting
di: Park, Junwoo, et al.
Pubblicazione: (2024)

Not All Data are Good Labels: On the Self-supervised Labeling for Time Series Forecasting
di: Yang, Yuxuan, et al.
Pubblicazione: (2025)

DPWMixer: Dual-Path Wavelet Mixer for Long-Term Time Series Forecasting
di: Qianyang, Li, et al.
Pubblicazione: (2025)

Unlocking the Power of Patch: Patch-Based MLP for Long-Term Time Series Forecasting
di: Tang, Peiwang, et al.
Pubblicazione: (2024)

DecoKAN: Interpretable Decomposition for Forecasting Cryptocurrency Market Dynamics
di: Gao, Yuan, et al.
Pubblicazione: (2025)

Efficient Prompt Learning for Traffic Forecasting
di: Zhang, Qianru, et al.
Pubblicazione: (2026)

HADL Framework for Noise Resilient Long-Term Time Series Forecasting
di: Dey, Aditya, et al.
Pubblicazione: (2025)

VQLTI: Long-Term Tropical Cyclone Intensity Forecasting with Physical Constraints
di: Wang, Xinyu, et al.
Pubblicazione: (2025)

Generalising Traffic Forecasting to Regions without Traffic Observations
di: Su, Xinyu, et al.
Pubblicazione: (2025)

Long-Term Prediction Accuracy Improvement of Data-Driven Medium-Range Global Weather Forecast
di: Hu, Yifan, et al.
Pubblicazione: (2024)