activity
20182023
most citedAI-Generated Content (AIGC): A Survey

91 citations · 411 across the 33 of their papers we have counts for

collaborators

46 papers

cs.DB20233 cited

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…

cs.DB20233 cited

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…

cs.DB2023

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…

cs.CR2023

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…

cs.AI202391 cited

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…

cs.DB20232 cited

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…