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Miao Zhang

Dr. Miao Zhang

張妙 PhD Graduate (2021) 2021

Now Lecturer, School of Artificial Intelligence, Shenzhen Technology University, China (since Sep 2021; MSc China University of Mining & Technology). NOTE: not currently at CUMT.

Personal website ↗

About

Dr. Miao Zhang is a PhD graduate in the Department of Computer Science, City University of Hong Kong.

Now Lecturer, School of Artificial Intelligence, Shenzhen Technology University, China (since Sep 2021; MSc China University of Mining & Technology). NOTE: not currently at CUMT..

Research Interests

Publications (13)

  • The impact of the distance metric and measure on SMOTE-based techniques in software defect prediction.
    Inf. Softw. Technol.2022PDF ↗DOI ↗
  • Validating class integration test order generation systems with Metamorphic Testing.
    Inf. Softw. Technol.2021PDF ↗DOI ↗
  • ROCT: Radius-based Class Overlap Cleaning Technique to Alleviate the Class Overlap Problem in Software Defect Prediction.
    COMPSAC2021PDF ↗DOI ↗
  • Investigation on the stability of SMOTE-based oversampling techniques in software defect prediction.
    Inf. Softw. Technol.2021PDF ↗DOI ↗
  • Evaluating the effects of similar-class combination on class integration test order generation.
    Inf. Softw. Technol.2021PDF ↗DOI ↗
  • COSTE: Complexity-based OverSampling TEchnique to alleviate the class imbalance problem in software defect prediction.
    Inf. Softw. Technol.2021PDF ↗DOI ↗
  • An Integration Test Order Strategy to Consider Control Coupling.
  • AComNN: Attention enhanced Compound Neural Network for financial time-series forecasting with cross-regional features.
    Appl. Soft Comput.2021PDF ↗DOI ↗
  • A Multi-Modal Transformer-based Code Summarization Approach for Smart Contracts.
  • Smart Contracts Vulnerability Auditing with Multi-semantics.
    COMPSAC2020PDF ↗DOI ↗
  • A Drift Propensity Detection Technique to Improve the Performance for Cross-Version Software Defect Prediction.
    COMPSAC2020PDF ↗DOI ↗
  • Assessing the Significant Impact of Concept Drift in Software Defect Prediction.
    COMPSAC (1)2019PDF ↗DOI ↗
  • A Heuristic Approach to Break Cycles for the Class Integration Test Order Generation.
    COMPSAC (1)2019PDF ↗DOI ↗