8 citations · 10 across the 5 of their papers we have counts for
5 papers
MaskMatch: Boosting Semi-Supervised Learning Through Mask Autoencoder-Driven Feature Learning
Wenjin Zhang, Keyi Li, Sen Yang +4
Conventional methods in semi-supervised learning (SSL) often face challenges related to limited data utilization, mainly due to their reliance on threshold-based techniques for sel…
Exploring Runtime Decision Support for Trauma Resuscitation
Keyi Li, Sen Yang, Travis M. Sullivan +2
AI-based recommender systems have been successfully applied in many domains (e.g., e-commerce, feeds ranking). Medical experts believe that incorporating such methods into a clinic…
Generating Privacy-Preserving Process Data with Deep Generative Models
Keyi Li, Sen Yang, Travis M. Sullivan +2
Process data with confidential information cannot be shared directly in public, which hinders the research in process data mining and analytics. Data encryption methods have been s…
Process-oriented Iterative Multiple Alignment for Medical Process Mining
Shuhong Chen, Sen Yang, Moliang Zhou +2
Adapted from biological sequence alignment, trace alignment is a process mining technique used to visualize and analyze workflow data. Any analysis done with this method, however,…
Evaluation of Trace Alignment Quality and its Application in Medical Process Mining
Moliang Zhou, Sen Yang, Shuyu Lv +5
Trace alignment algorithms have been used in process mining for discovering the consensus treatment procedures and process deviations. Different alignment algorithms, however, may…