Work

STDA: Spatio-Temporal Deviation Alignment Learning for Cross-City Fine-Grained Urban Flow Inference

Year: 2025

Type: article

Source: IEEE Transactions on Knowledge and Data Engineering

DOI: 10.1109/tkde.2025.3565504

Authors: Min Yang, Xiaoyu Li, Bin Xu, Xiushan Nie, Muming Zhao, Chengqi Zhang, Yu Zheng, Yongshun Gong

Institutions: Shandong University, Shandong Jianzhu University, Beijing Forestry University, Hong Kong Polytechnic University, Jingdong (China)

Language: English

Topic: Traffic Prediction and Management Techniques

Subfield: Building and Construction

Field: Engineering

Domain: Physical Sciences

SDGs: Sustainable cities and communities, Industry, innovation and infrastructure

Open Access status: closed

Funders: National Natural Science Foundation of China, Taishan Scholar Project of Shandong Province

Awards: G5783774562, G5968890584, G6604316187

OpenAlex ID: W4409916696

FWCI: 2.133

Cites: 42

Cited by: 5

Related to: 10