257 citations · 1.5k across the 57 of their papers we have counts for
59 papers
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…
Open Metaverse: Issues, Evolution, and Future
Zefeng Chen, Wensheng Gan, Jiayi Sun +2
With the evolution of content on the web and the Internet, there is a need for cyberspace that can be used to work, live, and play in digital worlds regardless of geography. The Me…
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…
Privacy-Preserving Federated Discovery of DNA Motifs with Differential Privacy
Yao Chen, Wensheng Gan, Gengsen Huang +2
DNA motif discovery is an important issue in gene research, which aims to identify transcription factor binding sites (i.e., motifs) in DNA sequences to reveal the mechanisms that…
AI-Generated Content (AIGC): A Survey
Jiayang Wu, Wensheng Gan, Zefeng Chen +2
To address the challenges of digital intelligence in the digital economy, artificial intelligence-generated content (AIGC) has emerged. AIGC uses artificial intelligence to assist…
Targeted Mining of Top-k High Utility Itemsets
Shan Huang, Wensheng Gan, Jinbao Miao +2
Finding high-importance patterns in data is an emerging data mining task known as High-utility itemset mining (HUIM). Given a minimum utility threshold, a HUIM algorithm extracts a…
Web 3.0: The Future of Internet
Wensheng Gan, Zhenqiang Ye, Shicheng Wan +1
With the rapid growth of the Internet, human daily life has become deeply bound to the Internet. To take advantage of massive amounts of data and information on the internet, the W…
Federated Learning for Metaverse: A Survey
Yao Chen, Shan Huang, Wensheng Gan +2
The metaverse, which is at the stage of innovation and exploration, faces the dilemma of data collection and the problem of private data leakage in the process of development. This…
Web3: The Next Internet Revolution
Shicheng Wan, Hong Lin, Wensheng Gan +2
Since the first appearance of the World Wide Web, people more rely on the Web for their cyber social activities. The second phase of World Wide Web, named Web 2.0, has been extensi…
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…
HUSP-SP: Faster Utility Mining on Sequence Data
Chunkai Zhang, Yuting Yang, Zilin Du +2
High-utility sequential pattern mining (HUSPM) has emerged as an important topic due to its wide application and considerable popularity. However, due to the combinatorial explosio…
Towards Sequence Utility Maximization under Utility Occupancy Measure
Gengsen Huang, Wensheng Gan, Philip S. Yu
The discovery of utility-driven patterns is a useful and difficult research topic. It can extract significant and interesting information from specific and varied databases, increa…
Internet of Behaviors: A Survey
Jiayi Sun, Wensheng Gan, Han-Chieh Chao +2
The Internet of Behavior is a research theme that aims to analyze human behavior data on the Internet from the perspective of behavioral psychology, obtain insights about human beh…
Federated Learning Attacks and Defenses: A Survey
Yao Chen, Yijie Gui, Hong Lin +2
In terms of artificial intelligence, there are several security and privacy deficiencies in the traditional centralized training methods of machine learning models by a server. To…
Metaverse in Education: Vision, Opportunities, and Challenges
Hong Lin, Shicheng Wan, Wensheng Gan +2
Traditional education has been updated with the development of information technology in human history. Within big data and cyber-physical systems, the Metaverse has generated stro…
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…
Big Data Meets Metaverse: A Survey
Jiayi Sun, Wensheng Gan, Zefeng Chen +2
We are living in the era of big data. The Metaverse is an emerging technology in the future, and it has a combination of big data, AI (artificial intelligence), VR (Virtual Reality…
Towards Correlated Sequential Rules
Lili Chen, Wensheng Gan, Chien-Ming Chen
The goal of high-utility sequential pattern mining (HUSPM) is to efficiently discover profitable or useful sequential patterns in a large number of sequences. However, simply being…
Metaverse: Survey, Applications, Security, and Opportunities
Jiayi Sun, Wensheng Gan, Han-Chieh Chao +1
As a fusion of various emerging digital technologies, the Metaverse aims to build a virtual shared digital space. It is closely related to extended reality, digital twin, blockchai…
Contrast Pattern Mining: A Survey
Yao Chen, Wensheng Gan, Yongdong Wu +1
Contrast pattern mining (CPM) is an important and popular subfield of data mining. Traditional sequential patterns cannot describe the contrast information between different classe…
Totally-ordered Sequential Rules for Utility Maximization
Chunkai Zhang, Maohua Lyu, Wensheng Gan +1
High utility sequential pattern mining (HUSPM) is a significant and valuable activity in knowledge discovery and data analytics with many real-world applications. In some cases, HU…
A Generic Algorithm for Top-K On-Shelf Utility Mining
Jiahui Chen, Xu Guo, Wensheng Gan +2
On-shelf utility mining (OSUM) is an emerging research direction in data mining. It aims to discover itemsets that have high relative utility in their selling time period. Compared…
Itemset Utility Maximization with Correlation Measure
Jiahui Chen, Yixin Xu, Shicheng Wan +2
As an important data mining technology, high utility itemset mining (HUIM) is used to find out interesting but hidden information (e.g., profit and risk). HUIM has been widely appl…
Temporal Fuzzy Utility Maximization with Remaining Measure
Shicheng Wan, Zhenqiang Ye, Wensheng Gan +1
High utility itemset mining approaches discover hidden patterns from large amounts of temporal data. However, an inescapable problem of high utility itemset mining is that its disc…