Junshu Dai — accepted AI-conference papers

2026

Dual-branch Spatial-Temporal Self-supervised Representation for Enhanced Road Network Learning

Qinghong Guo, Yu Wang, Ji Cao, Tongya Zheng, Junshu Dai, Bingde Hu +2

AAAI 2026technical

Road network representation learning (RNRL) has attracted increasing attention from both researchers and practitioners as various spatiotemporal tasks are emerging. Recent advanced methods leverage Graph Neural Networks (GNNs) and contrastive learning to characterize the spatial structure of road se

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2025

Holistic Semantic Representation for Navigational Trajectory Generation

Ji Cao, Tongya Zheng, Qinghong Guo, Yu Wang, Junshu Dai, Shunyu Liu +3

AAAI 2025technical

Trajectory generation has garnered significant attention from researchers in the field of spatio-temporal analysis, as it can generate substantial synthesized human mobility trajectories that enhance user privacy and alleviate data scarcity. However, existing trajectory generation methods often focu…

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