Background Introduction In the field of machine learning, Semi-Supervised Learning (SSL) has garnered significant attention due to its ability to leverage a small amount of labeled data and a large amount of unlabeled data for learning. Particularly in scenarios where data labeling is costly, graph-based semi-supervised learning methods have become...
Academic Background In recent years, with the rapid development of large language models (LLMs), their applications in the field of natural language processing (NLP) have become increasingly widespread. LLMs such as ChatGPT and LLaMA have demonstrated powerful capabilities in language generation and comprehension, even excelling in emotional expres...
Academic Background In fields such as decision analysis, pattern recognition, and medical diagnosis, fuzzy set theory provides essential mathematical tools for handling uncertainty and ambiguity. Traditional fuzzy sets (Fuzzy Set, FS) and intuitionistic fuzzy sets (Intuitionistic Fuzzy Set, IFS) have certain limitations when dealing with complex da...
Background Introduction With the rapid development of unmanned aerial vehicle (UAV) technology, low-altitude remote sensing images captured by UAVs have been widely used in tasks such as disaster management, search and rescue. However, small object detection in UAV images remains a challenging problem. Due to the fact that small objects occupy only...
Academic Background With the continuous growth of global energy demand, Energy Storage Technology (EST) plays a crucial role in mitigating environmental impacts and reducing carbon footprints. EST is not only an essential component of renewable energy but also a key factor in decarbonizing the global energy structure. However, selecting the appropr...
Academic Background In modern football economics, a player’s transfer market value is not only determined by their on-field performance but also influenced by factors such as their popularity and social media presence. With the globalization of the football industry, clubs are increasingly relying on data-driven analysis for decision-making in the ...
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...
Breast cancer is one of the most common malignancies among women worldwide. Although early intervention and appropriate treatment have significantly improved patient survival rates, approximately 30% of cases still experience recurrence and distant metastasis, resulting in a 5-year survival rate of less than 23%. Traditional clinical prediction met...
In the field of genomics, understanding the spatial organization of the genome is crucial for uncovering gene regulatory mechanisms. Hi-C technology, as a genome-wide chromosome conformation capture technique, can reveal the three-dimensional structure of the genome, particularly the key role of chromatin loops in gene regulation. However, existing...
Privacy-Preserving Framework for Genomic Analysis: A Study Based on Multi-Key Homomorphic Encryption Academic Background With the reduction in the cost of genome sequencing, the widespread availability of genomic data has opened up new possibilities for personalized medicine (also known as genomic medicine). However, genomic data contains a vast am...