Yang Li

M.Sc. Yang Li

Fakultät für Informatik (FIN)
AG Datenbanken & Software Engineering
Universitätsplatz 2, 39106, Magdeburg, G29-001
Vita

Since May 2016 Research assisstant, Otto-von-Guericke-University Magdeburg
Aug. 2012 - Dec. 2015: Network Engineer, Huawei Technologies Co Ltd.
Sep. 2010 - Jun. 2012: M.Sc. Control Engineering, Dept. of Automation, Harbin Engineering University
Sep. 2006 - Jun. 2010: B.Sc. Biomedical Engineering, Dept. of Automation, Harbin Engineering University

Projekte
Publikationen
  • Xiao Chen, Gabriel Campero Durand, Roman Zoun, David Broneske, Yang Li, and Gunter Saake. The Best of Both Worlds: Combining Hand-Tuned and Word-Embedding-Based Similarity Measures for Entity Resolution. In Datenbanksysteme für Business, Technologie und Web, pages 215 – 224, March 2019.
     
  • Yang Li, Sandro Schulze, and Gunter Saake. Reverse Engineering Variability from Requirement Documents based on Probabilistic Relevance and Word Embedding. In International Systems and Software Product Line Conference, SPLC, pages 121–131. ACM, September 2018.
     
  • Yang Li. Feature and Variability Extraction from Natural Language Software Requirements Specifications. In International Systems and Software Product Line Conference, SPLC, pages 72–78. ACM, September 2018.
     
  • Ziyin Chen, Zhe Lin, Chunyu Yue, and Yang Li. Particle Swarm Optimized Command Filtered Backstepping Control for an Active Magnetic Bearing System. In IEEE International Conference on Information and Automation, ICIA, pages 155–160. IEEE, August 2018.
     
  • Yang Li, Sandro Schulze, and Gunter Saake. Extracting Features from Requirements: Achieving Accuracy and Automation with Neural Networks. In IEEE International Conference on Software Analysis, Evolution and Reengineering, March 2018.
     
  • Yang Li, Sandro Schulze, and Gunter Saake. Reverse Engineering Variability from Natural Language Documents: A Systematic Literature Review. In International Systems and Software Product Line Conference, SPLC, pages 133–142. ACM, 2017.
     

Betreute Arbeiten


  • Meng Zhang. Feature and Variability Extraction from Informal Product Descriptions. Master's thesis, University of Magdeburg, Germany, October 2017.
     

 

Forschung
  • Software Product Lines
  • Feature Modeling
  • Machine Learning

Letzte Änderung: 07.12.2018 - Ansprechpartner:

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