6 papers
Mining Negative Sequential Patterns to Improve Viral Genomic Feature Representation and Classification
Wenxi Zhu, Wensheng Gan, Zhenlian Qi
Viruses represent the most abundant biological entities on Earth and play a pivotal role in microbial ecosystems, yet, as prominent human pathogens, they are closely linked to huma…
Advances in Large Language Models for Medicine
Zhiyu Kan, Wensheng Gan, Zhenlian Qi +1
Artificial intelligence (AI) technology has advanced rapidly in recent years, with large language models (LLMs) emerging as a significant breakthrough. LLMs are increasingly making…
Utility-based Privacy Preserving Data Mining
Qingfeng Zhou, Wensheng Gan, Zhenlian Qi +1
With the advent of big data, periodic pattern mining has demonstrated significant value in real-world applications, including smart home systems, healthcare systems, and the medica…
Mixture of Experts (MoE): A Big Data Perspective
Wensheng Gan, Zhenyao Ning, Zhenlian Qi +1
As the era of big data arrives, traditional artificial intelligence algorithms have difficulty processing the demands of massive and diverse data. Mixture of experts (MoE) has show…
Large Language Models for Medicine: A Survey
Yanxin Zheng, Wensheng Gan, Zefeng Chen +3
To address challenges in the digital economy's landscape of digital intelligence, large language models (LLMs) have been developed. Improvements in computational power and availabl…
Large Language Models for Education: A Survey
Hanyi Xu, Wensheng Gan, Zhenlian Qi +2
Artificial intelligence (AI) has a profound impact on traditional education. In recent years, large language models (LLMs) have been increasingly used in various applications such…