Xiangjie Kong

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.