Brian Hsu

13 papers A* 1A 1Journal 6Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
PRISM: Protocol Refinement through Intelligent Simulation Modeling.
CoRR
Brian Hsu, Priyanka Setty, Rory Butler, Ryan Lewis, Casey Stone, Rebecca Weinberg, Thomas S. Brettin, Rick L. Stevens, Ian T. Foster, Arvind Ramanathan
2025 — conf
HiPerRAG: High-Performance Retrieval Augmented Generation for Scientific Insights.
PASC
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, Heng Ma, Bharat Kale, Nicholas Chia, Thomas Gibbs, Michael E. Papka, Thomas S. Brettin, Francis J. Alexander, Anima Anandkumar, Ian T. Foster, Rick Stevens, Venkatram Vishwanath, Arvind Ramanathan
2025 J jnl
HiPerRAG: High-Performance Retrieval Augmented Generation for Scientific Insights.
CoRR
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, Heng Ma, Bharat Kale, Nicholas Chia, Thomas Gibbs, Michael E. Papka, Thomas S. Brettin, Francis J. Alexander, Anima Anandkumar, Ian T. Foster, Rick Stevens, Venkatram Vishwanath, Arvind Ramanathan
2024 J jnl
From Models to Systems: A Comprehensive Fairness Framework for Compositional Recommender Systems.
CoRR
Brian Hsu, Cyrus DiCiccio, Natesh Sivasubramoniapillai, Hongseok Namkoong
2024 — conf
From Models to Systems: A Comprehensive Framework for AI System Fairness in Compositional Recommender Systems.
AFME
Brian Hsu, Cyrus DiCiccio, Natesh S. Pillai, Hongseok Namkoong
2023 J jnl
An Operational Perspective to Fairness Interventions: Where and How to Intervene.
CoRR
Brian Hsu, Xiaotong Chen, Ying Han, Hongseok Namkoong, Kinjal Basu
2023 — conf
Detection and Mitigation of Algorithmic Bias via Predictive Parity.
FAccT
Cyrus DiCiccio, Brian Hsu, YinYin Yu, Preetam Nandy, Kinjal Basu
2023 — conf
Disentangling and Operationalizing AI Fairness at LinkedIn.
FAccT
Joaquin Quiñonero Candela, Yuwen Wu, Brian Hsu, Sakshi Jain, Jennifer Ramos, Jon Adams, Robert Hallman, Kinjal Basu
2023 J jnl
Disentangling and Operationalizing AI Fairness at LinkedIn.
CoRR
Joaquin Quiñonero Candela, Yuwen Wu, Brian Hsu, Sakshi Jain, Jen Ramos, Jon Adams, Robert Hallman, Kinjal Basu
2022 A* conf
Pushing the limits of fairness impossibility: Who's the fairest of them all?
NeurIPS
Brian Hsu, Rahul Mazumder, Preetam Nandy, Kinjal Basu
2022 J jnl
Pushing the limits of fairness impossibility: Who's the fairest of them all?
CoRR
Brian Hsu, Rahul Mazumder, Preetam Nandy, Kinjal Basu
2020 A conf
Implementing a More Challenging Parsons Problem Interface for Teaching Computer Science.
SIGCSE
Nathaniel Weinman, Brian Hsu, Alexia Camacho
2013 — conf
A tactile vision substitution system for the study of active sensing.
EMBC
Brian Hsu, Cheng-Han Hsieh, Sung-Nien Yu, Ehud Ahissar, Amos Arieli, Yael Zilbershtain-Kra