Cover Image

Spatial-Temporal Feedback Diffusion Guidance for Controlled Traffic Imputation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Mao, Xiaowei, Ding, Huihu, Lin, Yan, Wu, Tingrui, Guo, Shengnan, Qiu, Dazhuo, Fang, Feiling, Hu, Jilin, Wan, Huaiyu
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Survey and Benchmarking of Spatial-Temporal Traffic Data Imputation Models
by: Guo, Shengnan, et al.
Published: (2024)

DiffLight: A Partial Rewards Conditioned Diffusion Model for Traffic Signal Control with Missing Data
by: Chen, Hanyang, et al.
Published: (2024)

STD-PLM: Understanding Both Spatial and Temporal Properties of Spatial-Temporal Data with PLM
by: Huang, YiHeng, et al.
Published: (2024)

DiSGMM: A Method for Time-varying Microscopic Weight Completion on Road Networks
by: Lin, Yan, et al.
Published: (2026)

RIPCN: A Road Impedance Principal Component Network for Probabilistic Traffic Flow Forecasting
by: Lv, Haochen, et al.
Published: (2025)

Micro-Macro Spatial-Temporal Graph-based Encoder-Decoder for Map-Constrained Trajectory Recovery
by: Wei, Tonglong, et al.
Published: (2024)

UVTM: Universal Vehicle Trajectory Modeling with ST Feature Domain Generation
by: Lin, Yan, et al.
Published: (2024)

PLMTrajRec: A Scalable and Generalizable Trajectory Recovery Method with Pre-trained Language Models
by: Wei, Tonglong, et al.
Published: (2024)

TrajFM: A Vehicle Trajectory Foundation Model for Region and Task Transferability
by: Lin, Yan, et al.
Published: (2024)

TrajCogn: Leveraging LLMs for Cognizing Movement Patterns and Travel Purposes from Trajectories
by: Zhou, Zeyu, et al.
Published: (2024)

Zoom In, Reason Out: Efficient Far-field Anomaly Detection in Expressway Surveillance Videos via Focused VLM Reasoning Guided by Bayesian Inference
by: Mao, Xiaowei, et al.
Published: (2026)

Spatial-Temporal Cross-View Contrastive Pre-training for Check-in Sequence Representation Learning
by: Gong, Letian, et al.
Published: (2024)

Towards An Efficient and Effective En Route Travel Time Estimation Framework
by: Shen, Zekai, et al.
Published: (2025)

TransferTraj: A Vehicle Trajectory Learning Model for Region and Task Transferability
by: Wei, Tonglong, et al.
Published: (2025)

DutyTTE: Deciphering Uncertainty in Origin-Destination Travel Time Estimation
by: Mao, Xiaowei, et al.
Published: (2024)

TrajMamba: An Efficient and Semantic-rich Vehicle Trajectory Pre-training Model
by: Liu, Yichen, et al.
Published: (2025)

Diff-RNTraj: A Structure-aware Diffusion Model for Road Network-constrained Trajectory Generation
by: Wei, Tonglong, et al.
Published: (2024)

SSD-TS: Exploring the Potential of Linear State Space Models for Diffusion Models in Time Series Imputation
by: Gao, Hongfan, et al.
Published: (2024)

Spatial-Temporal Knowledge Distillation for Takeaway Recommendation
by: Zhao, Shuyuan, et al.
Published: (2024)

Random Attention Span
by: Wei, Dazhuo
Published: (2024)

STK-Adapter: Incorporating Evolving Graph and Event Chain for Temporal Knowledge Graph Extrapolation
by: Zhao, Shuyuan, et al.
Published: (2026)

PTrajM: Efficient and Semantic-rich Trajectory Learning with Pretrained Trajectory-Mamba
by: Lin, Yan, et al.
Published: (2024)

PAST: A Primary-Auxiliary Spatio-Temporal Network for Traffic Time Series Imputation
by: Hu, Hanwen, et al.
Published: (2025)

A Generative Adaptive Replay Continual Learning Model for Temporal Knowledge Graph Reasoning
by: Zhang, Zhiyu, et al.
Published: (2025)

STAMImputer: Spatio-Temporal Attention MoE for Traffic Data Imputation
by: Wang, Yiming, et al.
Published: (2025)

Mobility-LLM: Learning Visiting Intentions and Travel Preferences from Human Mobility Data with Large Language Models
by: Gong, Letian, et al.
Published: (2024)

DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion Models
by: Wen, Haomin, et al.
Published: (2023)

Exploring Palette based Color Guidance in Diffusion Models
by: Qiu, Qianru, et al.
Published: (2025)

Finding Counterfactual Evidences for Node Classification
by: Qiu, Dazhuo, et al.
Published: (2025)

Hermes: A Multi-Scale Spatial-Temporal Hypergraph Network for Stock Time Series Forecasting
by: Qiu, Xiangfei, et al.
Published: (2025)

Feedback Guidance of Diffusion Models
by: Koulischer, Felix, et al.
Published: (2025)

Inference-Time Alignment Control for Diffusion Models with Reinforcement Learning Guidance
by: Jin, Luozhijie, et al.
Published: (2025)

Interpreting Graph Inference with Skyline Explanations
by: Qiu, Dazhuo, et al.
Published: (2025)

Generating Robust Counterfactual Witnesses for Graph Neural Networks
by: Qiu, Dazhuo, et al.
Published: (2024)

Multimodal Feedback for Task Guidance in Augmented Reality
by: Guo, Hu, et al.
Published: (2025)

DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting
by: Qiu, Xiangfei, et al.
Published: (2024)

SAMoRA: Semantic-Aware Mixture of LoRA Experts for Task-Adaptive Learning
by: Shi, Boyan, et al.
Published: (2026)

Large Language Model Prompt Datasets: An In-depth Analysis and Insights
by: Zhang, Yuanming, et al.
Published: (2025)

DATA-WA: Demand-based Adaptive Task Assignment with Dynamic Worker Availability Windows
by: Chen, Jinwen, et al.
Published: (2025)

SDA-GRIN for Adaptive Spatial-Temporal Multivariate Time Series Imputation
by: Eskandari, Amir, et al.
Published: (2024)