Which Surrogate Works for Empirical Performance Modelling? A Case Study with Differential Evolution. - Ke Li 001; Zilin Xiang; Kay Chen Tan (CEC, 2019)

Understanding the automated parameter optimization on transfer learning for cross-project defect prediction: an empirical study. - Ke Li 001; Zilin Xiang; Tao Chen 001; Shuo Wang 005; Kay Chen Tan (ICSE, 2020)

BiLO-CPDP: Bi-Level Programming for Automated Model Discovery in Cross-Project Defect Prediction. - Ke Li 001; Zilin Xiang; Tao Chen 001; Kay Chen Tan (ASE, 2020)

Understanding the Automated Parameter Optimization on Transfer Learning for CPDP: An Empirical Study. - Ke Li 001; Zilin Xiang; Tao Chen 001; Shuo Wang 005; Kay Chen Tan (CoRR, 2020)