A tactile vision substitution system for the study of active sensing. - Brian Hsu; Cheng-Han Hsieh; Sung-Nien Yu; Ehud Ahissar; Amos Arieli; Yael Zilbershtain-Kra (EMBC, 2013)

Implementing a More Challenging Parsons Problem Interface for Teaching Computer Science. - Nathaniel Weinman; Brian Hsu; Alexia Camacho (SIGCSE, 2020)

Pushing the limits of fairness impossibility: Who's the fairest of them all? - Brian Hsu; Rahul Mazumder; Preetam Nandy; Kinjal Basu 001 (NeurIPS, 2022)

Disentangling and Operationalizing AI Fairness at LinkedIn. - Joaquin Quiñonero Candela; Yuwen Wu; Brian Hsu; Sakshi Jain; Jennifer Ramos; Jon Adams; Robert Hallman; Kinjal Basu 001 (FAccT, 2023)

Detection and Mitigation of Algorithmic Bias via Predictive Parity. - Cyrus DiCiccio; Brian Hsu; YinYin Yu; Preetam Nandy; Kinjal Basu 001 (FAccT, 2023)

An Operational Perspective to Fairness Interventions: Where and How to Intervene. - Brian Hsu; Xiaotong Chen; Ying Han; Hongseok Namkoong; Kinjal Basu 001 (CoRR, 2023)

GPT-4o System Card. - Aaron Hurst; Adam Lerer; Adam P. Goucher; Adam Perelman; Aditya Ramesh; Aidan Clark; AJ Ostrow; Akila Welihinda; Alan Hayes; Alec Radford; Aleksander Madry; Alex Baker-Whitcomb; et al. (CoRR, 2024)

From Models to Systems: A Comprehensive Fairness Framework for Compositional Recommender Systems. - Brian Hsu; Cyrus DiCiccio; Natesh Sivasubramoniapillai; Hongseok Namkoong (CoRR, 2024)

HiPerRAG: High-Performance Retrieval Augmented Generation for Scientific Insights. - Ozan Gökdemir; Carlo Siebenschuh; Alexander Brace; Azton Wells; Brian Hsu; Kyle Hippe; Priyanka Setty; Aswathy Ajith; J. Gregory Pauloski; Varuni Sastry; Sam Foreman; Huihuo Zheng; et al. (PASC, 2025)

HiPerRAG: High-Performance Retrieval Augmented Generation for Scientific Insights. - Ozan Gökdemir; Carlo Siebenschuh; Alexander Brace; Azton Wells; Brian Hsu; Kyle Hippe; Priyanka Vasanthakumari; Aswathy Ajith; J. Gregory Pauloski; Varuni Katti Sastry; Sam Foreman; Huihuo Zheng; et al. (CoRR, 2025)