A Platform for Monolithic Back End of Line III-V Integration. - Jun Tao; Debarghya Sarkar; Sizhe Weng; Hyun Uk Chae; Ragib Ahsan; Rehan Kapadia (DRC, 2020)

Correcting for Selection Bias in Learning-to-rank Systems. - Zohreh Ovaisi; Ragib Ahsan; Yifan Zhang; Kathryn Vasilaky; Elena Zheleva (WWW, 2020)

A Comprehensive Analysis on Detecting Chronic Kidney Disease by Employing Machine Learning Algorithms. - Mirza Muntasir Nishat; Fahim Faisal; Rezuanur Rahman Dip; Sarker Md. Nasrullah; Ragib Ahsan; Fahim Shikder; Md. Asfi-Ar-Raihan Asif; Md Ashraful Hoque (EAI Endorsed Trans. Pervasive Health Technol., 2021)

Relational Causal Models with Cycles: Representation and Reasoning. - Ragib Ahsan; David Arbour; Elena Zheleva (CLeaR, 2022)

Non-parametric inference of relational dependence. - Ragib Ahsan; Zahra Fatemi; David Arbour; Elena Zheleva (UAI, 2022)

Learning Relational Causal Models with Cycles through Relational Acyclification. - Ragib Ahsan; David Arbour; Elena Zheleva (AAAI, 2023)

Relational Causal Discovery with Latent Confounders. - Matteo Negro; Andrea Piras; Ragib Ahsan; David Arbour; Elena Zheleva (UAI, 2025)