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2020 – today
- 2026
[i6]Brian Hsu, Priyanka Setty, Rory Butler, Ryan Lewis, Casey Stone, Rebecca Weinberg, Thomas S. Brettin, Rick L. Stevens, Ian T. Foster, Arvind Ramanathan:
PRISM: Protocol Refinement through Intelligent Simulation Modeling. CoRR abs/2601.05356 (2026)- 2025
- [c6]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:
HiPerRAG: High-Performance Retrieval Augmented Generation for Scientific Insights. PASC 2025: 1-13 - [i5]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:
HiPerRAG: High-Performance Retrieval Augmented Generation for Scientific Insights. CoRR abs/2505.04846 (2025) - 2024
- [i4]Brian Hsu, Cyrus DiCiccio, Natesh Sivasubramoniapillai, Hongseok Namkoong:
From Models to Systems: A Comprehensive Fairness Framework for Compositional Recommender Systems. CoRR abs/2412.04655 (2024) - 2023
- [c5]Joaquin Quiñonero Candela, Yuwen Wu, Brian Hsu, Sakshi Jain, Jennifer Ramos, Jon Adams, Robert Hallman, Kinjal Basu:
Disentangling and Operationalizing AI Fairness at LinkedIn. FAccT 2023: 1213-1228 - [c4]Cyrus DiCiccio, Brian Hsu, YinYin Yu, Preetam Nandy, Kinjal Basu:
Detection and Mitigation of Algorithmic Bias via Predictive Parity. FAccT 2023: 1801-1816 - [i3]Brian Hsu, Xiaotong Chen, Ying Han, Hongseok Namkoong, Kinjal Basu:
An Operational Perspective to Fairness Interventions: Where and How to Intervene. CoRR abs/2302.01574 (2023) - [i2]Joaquin Quiñonero Candela, Yuwen Wu, Brian Hsu, Sakshi Jain, Jen Ramos, Jon Adams, Robert Hallman, Kinjal Basu:
Disentangling and Operationalizing AI Fairness at LinkedIn. CoRR abs/2306.00025 (2023) - 2022
- [c3]Brian Hsu, Rahul Mazumder, Preetam Nandy, Kinjal Basu:
Pushing the limits of fairness impossibility: Who's the fairest of them all? NeurIPS 2022 - [i1]Brian Hsu, Rahul Mazumder, Preetam Nandy, Kinjal Basu:
Pushing the limits of fairness impossibility: Who's the fairest of them all? CoRR abs/2208.12606 (2022) - 2020
- [c2]Nathaniel Weinman, Brian Hsu, Alexia Camacho:
Implementing a More Challenging Parsons Problem Interface for Teaching Computer Science. SIGCSE 2020: 1417
2010 – 2019
- 2013
- [c1]Brian Hsu, Cheng-Han Hsieh, Sung-Nien Yu, Ehud Ahissar, Amos Arieli, Yael Zilbershtain-Kra:
A tactile vision substitution system for the study of active sensing. EMBC 2013: 3206-3209
Coauthor Index
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last updated on 2026-02-13 01:54 CET by the dblp team
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