Lang Zhang — accepted AI-conference papers

2026

EyeCue: Driver Cognitive Distraction Detection via Gaze-Empowered Egocentric Video Understanding

Lang Zhang, JinYi Yoon, Matthew Corbett, Abhijit Sarkar, Bo Ji

IJCAI 2026

Driver cognitive distraction is a major cause of road collisions and remains difficult to detect. Unlike manual or visual distraction, cognitive distraction is diverted by thoughts unrelated to driving, even when the driver appears visually attentive and exhibits no explicit physical movements. In t

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2026

H²SCAN: Adaptive Time Series Representation Learning via Heterogeneous Hypergraph Structure-aware Contrasts

Biao Chen, Zijie Tang, Junhua Fang, Feng Lu, Lang Zhang, Pengpeng Zhao

IJCAI 2026

Learning universal representations for time series is fundamental for diverse downstream tasks. However, current approaches largely rely on handcrafted data augmentations, which may distort intrinsic temporal dynamics and structural regularities. In addition, most static representation learning fram

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2026

Other Vehicle Trajectories Are Also Needed: A Driving World Model Unifies Ego-Other Vehicle Trajectories in Video Latent Space

Jian Zhu, Zhengyu Jia, Tian Gao, Jiaxin Deng, Shidi Li, Lang Zhang +3

AAAI 2026technical

Advanced end-to-end autonomous driving systems predict other vehicles

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