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
  • Yang Li, Sandro Schulze, and Jiahua Xu. Feature Terms Prediction: A Feasible Way to Indicate the Notion of Features in Software Product Line. In The International Conference on Evaluation and Assessment in Software Engineering (EASE), EASE, pages 90–99. ACM, April 2020.
     
  • Jiahua Xu, Tung-Lung Liu, Zhenglei Wu, Zheng Wu, Yang Li, and Andreas Nürnberger. Neurorehabilitation System in Virtual Reality with Low-Cost BCI Devices. In IEEE International Conference on Human-Machine Systems, ICHMS. IEEE, September 2020.
     
  • Yang Li, Sandro Schulze, Helene Hvidegaard Scherrebeck, and Thomas Sorensen Fogdal. Automated Extraction of Domain Knowledge in Practice: The Case of Feature Extraction from Requirements at Danfoss. In International Conference on Systems and Software Product Line Engineering (SPLC). ACM, 2020. accepted.
     
  • 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.
     
  • Ziyin Chen, Zhe Lin, and Yang Li. Output Feedback Control of an Active Magnetic Bearing System based on Adaptive Command Filtered Backstepping. In Chinese Control Conference, CCC, pages 3060–3065. IEEE, July 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


  • Devanshu Bipin Khokhani. Human Behaviour Analysis to Develop a Prioritization Model. Master's thesis, University of Magdeburg, April 2020.
     
  • Tripura Priyanka Siripurapu. Requirements Entailment Based on Multi-Turn Inference Matching and Enhanced with External Knowledge. Master's thesis, University of Magdeburg, December 2019.
     
  • Sri Kanth Vaka. A Characteristic Based Approach for Extracting Features from Requirements. Master's thesis, University of Magdeburg, September 2019.
     
  • Nikhil PrakashRao Raikar. Clustering And Keyword Based Feature Extraction Using Textual Requirements. Master's thesis, University of Magdeburg, May 2019.
     
  • Prabhu Kumar Reddy Appalapuri. Deep Sentiment Representation Through Char-level CNN and LSTM. Master's thesis, University of Magdeburg, April 2019.
     
  • Jaydeepkumar Gondaliya. Optimization of Supplier Scouting Process Using Rule-Based and Machine Learning Algorithms. Master's thesis, University of Magdeburg, November 2019.
     
  • 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:

Sie können eine Nachricht versenden an: Webmaster
Sicherheitsabfrage:
Captcha
 
Lösung: