Imagen de Portada

LSDM: LLM-Enhanced Spatio-temporal Diffusion Model for Service-Level Mobile Traffic Prediction

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Zhang, Shiyuan, Li, Tong, Xiao, Zhu, Du, Hongyang, Huang, Kaibin
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

U-MASK: User-adaptive Spatio-Temporal Masking for Personalized Mobile AI Applications
por: Zhang, Shiyuan, et al.
Publicado: (2026)

GEnSHIN: Graphical Enhanced Spatio-temporal Hierarchical Inference Network for Traffic Flow Prediction
por: Zhou, Zhiyan, et al.
Publicado: (2026)

Unveiling the Power of Noise Priors: Enhancing Diffusion Models for Mobile Traffic Prediction
por: Sheng, Zhi, et al.
Publicado: (2025)

SFADNet: Spatio-temporal Fused Graph based on Attention Decoupling Network for Traffic Prediction
por: Wu, Mei, et al.
Publicado: (2025)

Crime Forecasting: A Spatio-temporal Analysis with Deep Learning Models
por: Mao, Li, et al.
Publicado: (2025)

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

Generative Feature Imputing -- A Technique for Error-resilient Semantic Communication
por: Huang, Jianhao, et al.
Publicado: (2025)

NetSpatial: Spatially Conditional Traffic Generation for Cellular Planning and Operations
por: Zhang, Shiyuan, et al.
Publicado: (2026)

FastSTI: A Fast Conditional Pseudo Numerical Diffusion Model for Spatio-temporal Traffic Data Imputation
por: Cheng, Shaokang, et al.
Publicado: (2024)

JPPO++: Joint Power and Denoising-inspired Prompt Optimization for Mobile LLM Services
por: You, Feiran, et al.
Publicado: (2024)

OpenCity: Open Spatio-Temporal Foundation Models for Traffic Prediction
por: Li, Zhonghang, et al.
Publicado: (2024)

Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction
por: Ji, Jiahao, et al.
Publicado: (2022)

STContext: A Multifaceted Dataset for Developing Context-aware Spatio-temporal Crowd Mobility Prediction Models
por: Chen, Liyue, et al.
Publicado: (2025)

Accurate Network Traffic Matrix Prediction via LEAD: a Large Language Model-Enhanced Adapter-Based Conditional Diffusion Model
por: Sun, Yu, et al.
Publicado: (2026)

Modeling Spatio-temporal Dynamical Systems with Neural Discrete Learning and Levels-of-Experts
por: Wang, Kun, et al.
Publicado: (2024)

Enhancing Spatio-temporal Quantile Forecasting with Curriculum Learning: Lessons Learned
por: Yin, Du, et al.
Publicado: (2024)

ICST-DNET: An Interpretable Causal Spatio-Temporal Diffusion Network for Traffic Speed Prediction
por: Rong, Yi, et al.
Publicado: (2024)

Intelligent Mobile AI-Generated Content Services via Interactive Prompt Engineering and Dynamic Service Provisioning
por: Liu, Yinqiu, et al.
Publicado: (2025)

Causally-Aware Spatio-Temporal Multi-Graph Convolution Network for Accurate and Reliable Traffic Prediction
por: Dong, Pingping, et al.
Publicado: (2024)

Efficient Traffic Prediction Through Spatio-Temporal Distillation
por: Zhang, Qianru, et al.
Publicado: (2025)

Training Machine Learning Models on Human Spatio-temporal Mobility Data: An Experimental Study [Experiment Paper]
por: Liu, Yueyang, et al.
Publicado: (2025)

DP-LET: An Efficient Spatio-Temporal Network Traffic Prediction Framework
por: Wang, Xintong, et al.
Publicado: (2025)

SUSTeR: Sparse Unstructured Spatio Temporal Reconstruction on Traffic Prediction
por: Wölker, Yannick, et al.
Publicado: (2025)

STLGRU: Spatio-Temporal Lightweight Graph GRU for Traffic Flow Prediction
por: Bhaumik, Kishor Kumar, et al.
Publicado: (2022)

Global Spatio-Temporal Fusion-based Traffic Prediction Algorithm with Anomaly Aware
por: Liu, Chaoqun, et al.
Publicado: (2024)

Spatio-Temporal Hierarchical Causal Models
por: Li, Xintong, et al.
Publicado: (2025)

FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems
por: Erichson, N. Benjamin, et al.
Publicado: (2025)

U-STS-LLM A Unified Spatio-Temporal Steered Large Language Model for Traffic Prediction and Imputation
por: Zhang, Yichen, et al.
Publicado: (2026)

Spatio-temporal Prediction of Fine-Grained Origin-Destination Matrices with Applications in Ridesharing
por: Yang, Run, et al.
Publicado: (2025)

Towards Effective Fusion and Forecasting of Multimodal Spatio-temporal Data for Smart Mobility
por: Wang, Chenxing
Publicado: (2024)

TrafficLLM: Enhancing Large Language Models for Network Traffic Analysis with Generic Traffic Representation
por: Cui, Tianyu, et al.
Publicado: (2025)

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

Spatio-temporal Multivariate Time Series Forecast with Chosen Variables
por: Liu, Zibo, et al.
Publicado: (2025)

Modeling Spatio-temporal Extremes via Conditional Variational Autoencoders
por: Ma, Xiaoyu, et al.
Publicado: (2025)

zkLLM: Zero Knowledge Proofs for Large Language Models
por: Sun, Haochen, et al.
Publicado: (2024)

RAST: A Retrieval Augmented Spatio-Temporal Framework for Traffic Prediction
por: Ruan, Weilin, et al.
Publicado: (2025)

Positional-aware Spatio-Temporal Network for Large-Scale Traffic Prediction
por: Chen, Runfei
Publicado: (2026)

CrossTrafficLLM: A Human-Centric Framework for Interpretable Traffic Intelligence via Large Language Model
por: Du, Zeming, et al.
Publicado: (2025)

NetMCP: Network-Aware Model Context Protocol Platform for LLM Capability Extension
por: Li, Enhan, et al.
Publicado: (2025)

SpecSTG: A Fast Spectral Diffusion Framework for Probabilistic Spatio-Temporal Traffic Forecasting
por: Lin, Lequan, et al.
Publicado: (2024)