Learning Fair and Interpretable Representations via Linear Orthogonalization. - Yuzi He; Keith Burghardt; Kristina Lerman (CoRR, 2019)

A Geometric Solution to Fair Representations. - Yuzi He; Keith Burghardt; Kristina Lerman (AIES, 2020)

Inherent Trade-offs in the Fair Allocation of Treatments. - Yuzi He; Keith Burghardt; Siyi Guo; Kristina Lerman (CoRR, 2020)

The Construction of Super Smart Cities and the Internet of Things Listed Companies' Total Factor Productivity. - Sheng Liu; Liutong Hou; Xiuying Chen; Yuzi He; Xuanhe Tang (EBEE, 2021)

Heterogeneous Effects of Software Patches in aMultiplayer Online Battle Arena Game. - Yuzi He; Christopher Tran 001; Julie Jiang; Keith Burghardt; Emilio Ferrara; Elena Zheleva; Kristina Lerman (FDG, 2021)

Identifying Shifts in Collective Attention to Topics on Social Media. - Yuzi He; Ashwin Rao; Keith Burghardt; Kristina Lerman (SBP-BRiMS, 2021)

Heterogeneous Effects of Software Patches in a Multiplayer Online Battle Arena Game. - Yuzi He; Christopher Tran 001; Julie Jiang; Keith Burghardt; Emilio Ferrara; Elena Zheleva; Kristina Lerman (CoRR, 2021)

Learning Fairer Interventions. - Yuzi He; Keith Burghardt; Siyi Guo; Kristina Lerman (AIES, 2022)

Digital Management Capability and Innovation of Manufacturing Enterprises in the Era of Big Data. - Sheng Liu; Liutong Hou; Xiuying Chen; Xuanhe Tang; Yuzi He (ICBDE, 2022)

Leveraging change point detection to discover natural experiments in data. - Yuzi He; Keith A. Burghardt; Kristina Lerman (EPJ Data Sci., 2022)

Detecting Prefix Bias in LLM-based Reward Models. - Ashwin Kumar; Yuzi He; Aram H. Markosyan; Bobbie Chern; Imanol Arrieta Ibarra (FAccT, 2025)