Loss-Aversively Fair Classification. - Junaid Ali 001; Muhammad Bilal Zafar; Adish Singla; Krishna P. Gummadi (AIES, 2019)

Accounting for Model Uncertainty in Algorithmic Discrimination. - Junaid Ali 001; Preethi Lahoti; Krishna P. Gummadi (AIES, 2021)

On the Fairness of Time-Critical Influence Maximization in Social Networks (Extended Abstract). - Junaid Ali 001; Mahmoudreza Babaei; Abhijnan Chakraborty; Baharan Mirzasoleiman; Krishna P. Gummadi; Adish Singla (ICDE, 2022)

Evaluating the Fairness of Discriminative Foundation Models in Computer Vision. - Junaid Ali 001; Matthäus Kleindessner; Florian Wenzel; Kailash Budhathoki; Volkan Cevher; Chris Russell 001 (AIES, 2023)

On the Fairness of Time-Critical Influence Maximization in Social Networks. - Junaid Ali 001; Mahmoudreza Babaei; Abhijnan Chakraborty; Baharan Mirzasoleiman; Krishna P. Gummadi; Adish Singla (IEEE Trans. Knowl. Data Eng., 2023)

(De)Noise: Moderating the Inconsistency Between Human Decision-Makers. - Nina Grgic-Hlaca; Junaid Ali 001; Krishna P. Gummadi; Jennifer Wortman Vaughan (Proc. ACM Hum. Comput. Interact., 2024)