Guojiang Shen

LLM-Enabled UAV Dispatch: A System-Level Survey and Taxonomy

Unmanned aerial vehicle (UAV) dispatch is beginning to move beyond isolated path planning and optimization-driven resource allocation toward system-level coordination supported by semantic reasoning and LLM-based interfaces. This survey provides a unified characterization of LLM-enabled UAV dispatch systems that bridge...

Exploring Multimodal Adapters with Multi-Task Decoders for Video Action Recognition.

Large-scale vision-language pretrained models like CLIP, paired with parameter-efficient fine-tuning techniques, have emerged as promising solutions for image-to-video transfer in video action recognition. However, existing methods often prioritize strong supervised performance at the expense of transferability and gen...

MGCRN: Missing-aware Graph Convolutional Recurrent Network for spatio-temporal forecasting

ASTPKEFormer: Adaptive Spatiotemporal Prior Knowledge Embedding-Induced Transformers for Traffic Data Forecasting

ASTPKEformer is proposed, a prior knowledge-guided Trans-former framework for traffic prediction that outperforms state-of-the-art (SOTA) baselines, validating its effectiveness and enhancing the representation capability.

Exploring Bus Stop Mobility Pattern With Temporal Variation: A Multiperiod Prediction Framework

Passenger demand prediction is essential for intelligent transportation systems (ITSs) and the Internet of Vehicles (IoV), supporting efficient transit management, network bandwidth allocation, onboard content distribution, and edge computing scheduling. With buses increasingly equipped with wireless connectivity, pass...