From AutomationML to ROS: A model-driven approach for software engineering of industrial robotics using ontological reasoning. - Yingbing Hua; Stefan Zander; Mirko Bordignon; Björn Hein (ETFA, 2016)

Empowering the Model-driven Engineering of Robotic Applications using Ontological Semantics and Reasoning. - Stefan Zander; Nadia Ahmed; Yingbing Hua (KEOD, 2016)

Concept Learning in AutomationML with Formal Semantics and Inductive Logic Programming. - Yingbing Hua; Björn Hein (CASE, 2018)

Concept Learning in Engineering based on Refinement Operator. - Yingbing Hua; Björn Hein (ILP Up-and-Coming / Short Papers, 2018)

Interpreting OWL Complex Classes in AutomationML based on Bidirectional Translation. - Yingbing Hua; Björn Hein (ETFA, 2019)

Interactive Learning Engineering Concepts in AutomationML. - Yingbing Hua; Björn Hein (ETFA, 2019)

Rapid Restart Hill Climbing for Learning Description Logic Concepts. - Yingbing Hua; Björn Hein (ILP, 2019)

By-example data query for AutomationML using tree patterns. - Yingbing Hua (IEEE DataPort, 2019)

AQT - A Query Template for AutomationML. - Yingbing Hua; Björn Hein (IEEE Trans. Ind. Informatics, 2021)

Methods for Semantic Interoperability in AutomationML-based Engineering. - Yingbing Hua (2021)