Academic Background In the real world, network data (such as social networks, citation networks, etc.) often contain multiple types of nodes and edges, and these network structures evolve dynamically over time. To better analyze these complex networks, researchers have proposed network embedding techniques, which aim to represent nodes and edges in...

Sepsis is a systemic inflammatory response syndrome triggered by infection, often leading to multiple organ failure and high mortality rates. Although modern medical technology has made significant progress in the treatment of sepsis, some patients still die due to the rapid deterioration of their condition. Therefore, accurately predicting the mor...

SEAFormer++ - An Efficient Transformer Architecture Designed for Mobile Visual Recognition Research Background and Problem Statement In recent years, the field of computer vision has undergone a significant shift from Convolutional Neural Networks (CNNs) to Transformer-based methods. However, despite Vision Transformers demonstrating excellent glob...

Protein Structure Prediction: Challenges, Progress, and Shifts in Research Paradigms Protein structure prediction is an important interdisciplinary research topic that has attracted researchers from various fields including biochemistry, medicine, physics, mathematics, and computer science. Researchers have adopted multiple research paradigms to so...

Research Report on Fully Automated Multimodal MRI Multi-task Learning for Glioma Segmentation and IDH Gene Typing Background of the Study Glioma is the most common primary brain tumor in the central nervous system. According to the World Health Organization (WHO) 2016 classification, gliomas are divided into low-grade gliomas (LGG, grades II and II...