20 citations · 57 across the 14 of their papers we have counts for
14 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…
Large Language Models in Law: A Survey
Jinqi Lai, Wensheng Gan, Jiayang Wu +2
The advent of artificial intelligence (AI) has significantly impacted the traditional judicial industry. Moreover, recently, with the development of AI-generated content (AIGC), AI…
Large Language Models in Education: Vision and Opportunities
Wensheng Gan, Zhenlian Qi, Jiayang Wu +1
With the rapid development of artificial intelligence technology, large language models (LLMs) have become a hot research topic. Education plays an important role in human social d…
Interaction in Metaverse: A Survey
Hong Lin, Zirun Gan, Wensheng Gan +3
Human-computer interaction (HCI) emerged with the birth of the computer and has been upgraded through decades of development. Metaverse has attracted a lot of interest with its imm…
TALENT: Targeted Mining of Non-overlapping Sequential Patterns
Zefeng Chen, Wensheng Gan, Gengsen Huang +3
With the widespread application of efficient pattern mining algorithms, sequential patterns that allow gap constraints have become a valuable tool to discover knowledge from biolog…
Towards Top- Non-Overlapping Sequential Patterns
Zefeng Chen, Wensheng Gan, Gengsen Huang +2
Sequential pattern mining (SPM) has excellent prospects and application spaces and has been widely used in different fields. The non-overlapping SPM, as one of the data mining tech…
The Human-Centric Metaverse: A Survey
Riyan Yang, Lin Li, Wensheng Gan +2
In the era of the Web of Things, the Metaverse is expected to be the landing site for the next generation of the Internet, resulting in the increased popularity of related technolo…
Maximal co-occurrence nonoverlapping sequential rule mining
Yan Li, Chang Zhang, Jie Li +4
The aim of sequential pattern mining (SPM) is to discover potentially useful information from a given se-quence. Although various SPM methods have been investigated, most of these…
Metaverse Security and Privacy: An Overview
Zefeng Chen, Jiayang Wu, Wensheng Gan +1
Metaverse is a living space and cyberspace that realizes the process of virtualizing and digitizing the real world. It integrates a plethora of existing technologies with the goal…