Dialectic: Enhancing Text Input Fields with Automatic Feedback to Improve Social Content Writing Quality. - Hamed Nilforoshan; James Sands; Kevin Lin; Rahul Khanna; Eugene Wu 002 (CoRR, 2017)

PreCog: Improving Crowdsourced Data Quality Before Acquisition. - Hamed Nilforoshan; Jiannan Wang 001; Eugene Wu 002 (CoRR, 2017)

Leveraging Quality Prediction Models for Automatic Writing Feedback. - Hamed Nilforoshan; Eugene Wu 002 (ICWSM, 2018)

SliceNDice: Mining Suspicious Multi-Attribute Entity Groups with Multi-View Graphs. - Hamed Nilforoshan; Neil Shah (DSAA, 2019)

Causal Conceptions of Fairness and their Consequences. - Hamed Nilforoshan; Johann D. Gaebler; Ravi Shroff; Sharad Goel (ICML, 2022)

Human interaction networks reveal that large cities facilitate segregation. - Hamed Nilforoshan; Wenli Looi; Emma Pierson; Blanca Villanueva; Nic Fishman; Yiling Chen; John Sholar; Beth Redbird; David Grusky; Jure Leskovec (CoRR, 2022)

Zero-shot causal learning. - Hamed Nilforoshan; Michael Moor; Yusuf H. Roohani; Yining Chen; Anja Surina; Michihiro Yasunaga; Sara Oblak; Jure Leskovec (NeurIPS, 2023)

Graph-based clinical recommender: Predicting specialists procedure orders using graph representation learning. - Sajjad Fouladvand; Federico Reyes Gomez; Hamed Nilforoshan; Matthew Schwede; Morteza Noshad; Olivia Jee; Jiaxuan You; Rok Sosic; Jure Leskovec; Jonathan H. Chen (J. Biomed. Informatics, 2023)

The Measure and Mismeasure of Fairness. - Sam Corbett-Davies; Johann D. Gaebler; Hamed Nilforoshan; Ravi Shroff; Sharad Goel (J. Mach. Learn. Res., 2023)

Human mobility networks reveal increased segregation in large cities. - Hamed Nilforoshan; Wenli Looi; Emma Pierson; Blanca Villanueva; Nic Fishman; Yiling Chen; John Sholar; Beth Redbird; David Grusky; Jure Leskovec (Nat., 2023)