Jianhua Ma

Automated graph construction and graph neural network search: a survey

Graphs are widely used to describe objects and their interactions in physically-informed real-world networking scenario including transportation, networking and energy, etc. Graph neural network (GNN) is the latest deep learning (DL) model for processing graph-structured data, widely applied in various tasks, e.g., p...

Lesion-aware visio-linguistic context regularization for radiology report generation.

While Large Language Models (LLMs) have revolutionized image captioning, their direct application to radiology report generation (RRG) faces two key challenges: the semantic dilution of lesion features due to indiscriminate global image encoding, and the stylistic drift resulting from LLMs' lack of strict clinical cons...

Multiple targets tracking with unmanned aerial vehicle swarm based on multi-agent deep reinforcement learning framework with safety network