Learning Latent Road Correlations from Trajectories. - Zheng Dong 006; Quanjun Chen; Renhe Jiang; Huanchen Wang; Xuan Song 001; Hao Tian (IEEE Big Data, 2022)

A Geomagnetic Sensor Dataset for Traffic Flow Prediction. - Huanchen Wang; Quanjun Chen; Zheng Dong 006; Xuan Song 001; Hao Tian; Donglong Yang; Manxia Liu (IEEE Big Data, 2022)

Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting. - Hangchen Liu; Zheng Dong 006; Renhe Jiang; Jiewen Deng; Jinliang Deng; Quanjun Chen; Xuan Song 001 (CIKM, 2023)

STAEformer: Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting. - Hangchen Liu; Zheng Dong 006; Renhe Jiang; Jiewen Deng; Jinliang Deng; Quanjun Chen; Xuan Song 001 (CoRR, 2023)

Spatio-Temporal-Decoupled Masked Pre-training: Benchmarked on Traffic Forecasting. - Haotian Gao; Renhe Jiang; Zheng Dong 006; Jinliang Deng; Yuxin Ma; Xuan Song 001 (CoRR, 2023)

Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting. - Haotian Gao; Renhe Jiang; Zheng Dong 006; Jinliang Deng; Yuxin Ma; Xuan Song 001 (IJCAI, 2024)

Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting. - Zheng Dong 006; Renhe Jiang; Haotian Gao; Hangchen Liu; Jinliang Deng; Qingsong Wen; Xuan Song 001 (KDD, 2024)

Robust Traffic Forecasting against Spatial Shift over Years. - Hongjun Wang 007; Jiyuan Chen; Tong Pan; Zheng Dong 006; Lingyu Zhang 001; Renhe Jiang; Xuan Song 001 (CoRR, 2024)

STGformer: Efficient Spatiotemporal Graph Transformer for Traffic Forecasting. - Hongjun Wang 007; Jiyuan Chen; Tong Pan; Zheng Dong 006; Lingyu Zhang 001; Renhe Jiang; Xuan Song 001 (CoRR, 2024)

Evaluating the Generalization Ability of Spatiotemporal Model in Urban Scenario. - Hongjun Wang 007; Jiyuan Chen; Tong Pan; Zheng Dong 006; Lingyu Zhang 001; Renhe Jiang; Xuan Song 001 (CoRR, 2024)