Adaptive Instrument Module: Space Instrument Controller "brain" Through Programmable Logic Devices. - Ann Garrison Darrin; Richard Conde; Bobbie Chern; Phil Luers; Steve Jurczyk; Carl Mills (Evolvable Hardware, 2001)

Spatially-Adaptivewavelet Image Compression via Structural Masking. - Matthew Gaubatz; Stephanie Kwan; Bobbie Chern; Damon M. Chandler; Sheila S. Hemami (ICIP, 2006)

Achieving the capacity of the N-relay Gaussian diamond network within logn bits. - Bobbie Chern; Ayfer Özgür (ITW, 2012)

Reference based genome compression. - Bobbie Chern; Idoia Ochoa; Alexandros Manolakos; Albert No; Kartik Venkat; Tsachy Weissman (ITW, 2012)

On information flow and feedback in relay networks. - Bobbie Chern; Ayfer Özgür (ITW, 2013)

Achieving the Capacity of the $N$ -Relay Gaussian Diamond Network Within log $N$ Bits. - Bobbie Chern; Ayfer Özgür (IEEE Trans. Inf. Theory, 2014)

Central limit theorems for some set partition statistics. - Bobbie Chern; Persi Diaconis; Daniel M. Kane; Robert C. Rhoades (Adv. Appl. Math., 2015)

On Feedback in Gaussian Multihop Networks. - Bobbie Chern; Farzan Farnia; Ayfer Özgür (IEEE Trans. Inf. Theory, 2015)

Fairness On The Ground: Applying Algorithmic Fairness Approaches to Production Systems. - Chloé Bakalar; Renata Barreto; Stevie Bergman; Miranda Bogen; Bobbie Chern; Sam Corbett-Davies; Melissa Hall; Isabel Kloumann; Michelle S. Lam; Joaquin Quiñonero Candela; Manish Raghavan; Joshua Simons; et al. (CoRR, 2021)

Adaptive Sampling Strategies to Construct Equitable Training Datasets. - William Cai; Ro Encarnacion; Bobbie Chern; Sam Corbett-Davies; Miranda Bogen; Stevie Bergman; Sharad Goel (FAccT, 2022)

Quantifying and Mitigating the Impact of Label Errors on Model Disparity Metrics. - Julius Adebayo; Melissa Hall; Bowen Yu; Bobbie Chern (ICLR, 2023)

Towards Reliable Assessments of Demographic Disparities in Multi-Label Image Classifiers. - Melissa Hall; Bobbie Chern; Laura Gustafson; Denisse Ventura; Harshad Kulkarni; Candace Ross; Nicolas Usunier (CoRR, 2023)

Mitigating the Impact of Labeling Errors on Training via Rockafellian Relaxation. - Louis L. Chen; Bobbie Chern; Eric Eckstrand; Amogh Mahapatra; Johannes O. Royset (CoRR, 2024)

The Llama 3 Herd of Models. - Abhimanyu Dubey; Abhinav Jauhri; Abhinav Pandey; Abhishek Kadian; Ahmad Al-Dahle; Aiesha Letman; Akhil Mathur; Alan Schelten; Amy Yang; Angela Fan; Anirudh Goyal; Anthony Hartshorn; et al. (CoRR, 2024)

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

Towards Understanding the Fragility of Multilingual LLMs against Fine-Tuning Attacks. - Samuele Poppi; Zheng-Xin Yong; Yifei He; Bobbie Chern; Han Zhao 002; Aobo Yang; Jianfeng Chi (NAACL (Findings), 2025)