3 papers
cs.RO2026
Latent World Models for Automated Driving: A Unified Taxonomy, Evaluation Framework, and Open Challenges
Rongxiang Zeng, Yongqi Dong
Emerging generative world models and vision-language-action (VLA) systems are rapidly reshaping automated driving by enabling scalable simulation, long-horizon forecasting, and cap…
cs.LG2025
Parking Availability Prediction via Fusing Multi-Source Data with A Self-Supervised Learning Enhanced Spatio-Temporal Inverted Transformer
Yin Huang, Yongqi Dong, Youhua Tang +1
The rapid growth of private car ownership has worsened the urban parking predicament, underscoring the need for accurate and effective parking availability prediction to support ur…
cs.LG2025
A Self-Supervised Transformer for Unusable Shared Bike Detection
Yin Huang, Yongqi Dong, Youhua Tang +1
The rapid expansion of bike-sharing systems (BSS) has greatly improved urban "last-mile" connectivity, yet large-scale deployments face escalating operational challenges, particula…