Driving Timing Convergence of FPGA Designs through Machine Learning and Cloud Computing. - Nachiket Kapre; Bibin Chandrashekaran; Harnhua Ng; Kirvy Teo (FCCM, 2015)

InTime: A Machine Learning Approach for Efficient Selection of FPGA CAD Tool Parameters. - Nachiket Kapre; Harnhua Ng; Kirvy Teo; Jaco Naude (FPGA, 2015)

Improving Classification Accuracy of a Machine Learning Approach for FPGA Timing Closure. - Que Yanghua; Nachiket Kapre; Harnhua Ng; Kirvy Teo (FCCM, 2016)

Case for Design-Specific Machine Learning in Timing Closure of FPGA Designs. - Que Yanghua; Chinnakkannu Adaikkala Raj; Harnhua Ng; Kirvy Teo; Nachiket Kapre (FPGA, 2016)

Boosting convergence of timing closure using feature selection in a Learning-driven approach. - Que Yanghua; Harnhua Ng; Nachiket Kapre (FPL, 2016)