Dr. Xiaoxing Yang

Profile of Dr. Xiaoxing Yang

Assistant Professor
Department of Computer Science

EDUCATION

  • 2007.9 – 2013.5   University of Science and Technology of China, PhD in CS ; 
  • 2012.5 – 2012.11   University of Birmingham, Visiting Researcher ; 
  • 2003.9 – 2007.7   University of Science and Technology of China, BS in CS . 

 

WORKING EXPERIENCE

  • 2025.9 – present   Hong Kong Chu Hai College (HKCHC), Assistant Professor; 
  • 2019.2 – 2025.8   Shenzhen Technology University, Assistant Professor; 
  • 2016.2 – 2019.8   Sun Yat-Sen University, Associate Researcher; 
  • 2013.7 – 2016.1   Sichuan Academy of Aerospace Technology, Engineer. 

 

MAIN PROJECTS

  • 2022.10 – 2025.8, Higher Education Stability Support Program General Project: Research on the algorithm of software defect prediction for sorting tasks, 196,000 RMB, preside;
  • 2021.7 – 2022.6, Guangdong Provincial Key Laboratory: Construction of defect pattern library based on evolutionary neural network, 30,000 RMB, preside;
  • 2017.1 – 2019.12, National Natural Science Foundation of China (No. 61602534): Research on metric validity and modeling algorithm for software defect prediction, 200,000 RMB, preside;
  • Fundamental Research Funds for the Central Universities: Research on regression models for software defect prediction, 150,000 RMB, preside;
  • 2018.1 – 2021.12, National Natural Science Foundation of China: Disaster resistance reliability prediction and comprehensive simulation of urban building clusters, 5,100,000 RMB, participant.

 

SELECTED PUBLICATION

Journal Articles

  • Dong, W. Wen, T. Xu, and X. Yang, “Joint optimization of data-center selection and video-streaming distribution for crowdsourced live streaming in a geo-distributed cloud platform,” IEEE Transactions on Network and Service Management, vol. PP, pp. 1–1, Mar. 2019. DOI: 10.1109/TNSM.2019.2907785.
  • Yang and W. Wen, “Ridge and lasso regression models for cross-version defect prediction,” IEEE Transactions on Reliability, vol. PP, pp. 1–12, Jun. 2018. DOI: 10.1109/TR.2018.2847353.
  • Yang, K. Tang, and X. Yao, “A learning-to-rank approach to software defect prediction,” Reliability, IEEE Transactions on, vol. 64, pp. 234–246, Mar. 2015. DOI: 10.1109/TR.2014.2370891.

Conference Proceedings

  • Dai, X. Yang, B. Huang, and X. Lu, “A framework based on deep neural network for ranking-oriented software defect prediction,” in 202/ IEEE 2/rd International Conference on Software Quality, Reliability, and Security (QRS), 2023, pp. 60–71. DOI: 10.1109/QRS60937.2023.00016.
  • Li, X. Yang, J. Su, and W. Wen, “A multi-objective learning method for building sparse defect prediction models,” in 2020 IEEE 20th International Conference on Software Quality, Reliability and Security (QRS), 2020, pp. 204–211. DOI: 10.1109/QRS51102.2020.00037.
  • Yang, X. Li, W. Wen, and J. Su, “An investigation of ensemble approaches to cross-version defect prediction,” Jul. 2019, pp. 437–442. DOI: 10.18293/SEKE2019–113.

 

TEACHING 

  • Artificial Intelligence;
  • Operating System Design;
  • Calculus;
  • College Computer,
  • Programming Fundamentals, 
  • Introduction to Data Mining,
  • Data Mining, etc.

 

ADMISSION