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20212024
most citedPre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series Forecasting

298 citations · 429 across the 17 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.AI2023

AdapTraj: A Multi-Source Domain Generalization Framework for Multi-Agent Trajectory Prediction

Tangwen Qian, Yile Chen, Gao Cong +2

Multi-agent trajectory prediction, as a critical task in modeling complex interactions of objects in dynamic systems, has attracted significant research attention in recent years.…

cs.LG2023★ 1 cited

Dynamic Frequency Domain Graph Convolutional Network for Traffic Forecasting

Yujie Li, Zezhi Shao, Yongjun Xu +3

Complex spatial dependencies in transportation networks make traffic prediction extremely challenging. Much existing work is devoted to learning dynamic graph structures among sens…

cs.LG2023★ 6 cited

Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis

Zezhi Shao, Fei Wang, Yongjun Xu +10

Multivariate Time Series (MTS) analysis is crucial to understanding and managing complex systems, such as traffic and energy systems, and a variety of approaches to MTS forecasting…

cs.LG2023★ 5 cited

DSformer: A Double Sampling Transformer for Multivariate Time Series Long-term Prediction

Chengqing Yu, Fei Wang, Zezhi Shao +3

Multivariate time series long-term prediction, which aims to predict the change of data in a long time, can provide references for decision-making. Although transformer-based model…

cs.LG2023★ 25 cited

HUTFormer: Hierarchical U-Net Transformer for Long-Term Traffic Forecasting

Zezhi Shao, Fei Wang, Tao Sun +7

Traffic forecasting, which aims to predict traffic conditions based on historical observations, has been an enduring research topic and is widely recognized as an essential compone…