Shaojiang Wang — accepted AI-conference papers

2026

G-VTM: A Multimodal Vision-Trajectory Model for Generalized Vehicle Trajectory Prediction

Xinyue Zhang, Letian Gong, Yan Lin, Jinjun Cheng, Junlin Zhang, Guanyu Yao +4

IJCAI 2026

Generalized vehicle trajectory prediction across diverse junctions, including urban intersections and roundabouts, remains a fundamental task in Cooperative Vehicle–Infrastructure Systems (CVIS). This study faces two key challenges: (1) Generalize across junctions with heterogeneous map semantics an

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2026

Tracking Topological Shifts: How Can Dynamic Graph Invariant Learning Enable Reliable Out-of-Time Spatio-Temporal Prediction?

Xinyan Hao, Huaiyu Wan, Shengnan Guo, Shaojiang Wang, Youfang Lin

IJCAI 2026

Spatio-temporal graph networks form the foundation of modern traffic prediction, yet their deployment is fundamentally challenged by the pervasive reality of distribution shifts. While out-of-distribution (OOD) learning holds promise for robustness, existing methods rely on static graph structures,

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