Interactive and intelligent visual communication systems. - Gillian R. Hayes; Donald J. Patterson; Mohamad Monibi; Samuel J. Kaufman (IDC, 2008)

Online everywhere: evolving mobile instant messaging practices. - Donald J. Patterson; Christopher J. O. Baker; Xianghua Ding; Samuel J. Kaufman; Kah Liu; Andrew Zaldivar (UbiComp, 2008)

An Ecosystem for Learning and Using Sensor-Driven IM Status Messages. - Donald J. Patterson; Xianghua Ding; Samuel J. Kaufman; Kah Liu; Andrew Zaldivar (IEEE Pervasive Comput., 2009)

Design and evaluation of a computer science and engineering course for middle school girls. - Gabriela Marcu; Samuel J. Kaufman; Jaihee Kate Lee; Rebecca W. Black; Paul Dourish; Gillian R. Hayes; Debra J. Richardson (SIGCSE, 2010)

Sampling invariants from frequency distributions. - Grigory Fedyukovich; Samuel J. Kaufman; Rastislav Bodík (FMCAD, 2017)

Swizzle Inventor: Data Movement Synthesis for GPU Kernels. - Phitchaya Mangpo Phothilimthana; Archibald Samuel Elliott; An Wang 003; Abhinav Jangda; Bastian Hagedorn; Henrik Barthels; Samuel J. Kaufman; Vinod Grover; Emina Torlak; Rastislav Bodík (ASPLOS, 2019)

A Learned Performance Model for the Tensor Processing Unit. - Samuel J. Kaufman; Phitchaya Mangpo Phothilimthana; Yanqi Zhou; Mike Burrows (CoRR, 2020)

Learning inductive invariants by sampling from frequency distributions. - Grigory Fedyukovich; Samuel J. Kaufman; Rastislav Bodík (Formal Methods Syst. Des., 2020)

A Flexible Approach to Autotuning Multi-Pass Machine Learning Compilers. - Phitchaya Mangpo Phothilimthana; Amit Sabne; Nikhil Sarda; Karthik Srinivasa Murthy; Yanqi Zhou; Christof Angermueller; Mike Burrows; Sudip Roy 002; Ketan Mandke; Rezsa Farahani; Yu Emma Wang; Berkin Ilbeyi; et al. (PACT, 2021)

A Learned Performance Model for Tensor Processing Units. - Samuel J. Kaufman; Phitchaya Mangpo Phothilimthana; Yanqi Zhou; Charith Mendis; Sudip Roy 002; Amit Sabne; Mike Burrows (MLSys, 2021)

Prioritizing Mutants to Guide Mutation Testing. - Samuel J. Kaufman; Ryan Featherman; Justin Alvin; Bob Kurtz; Paul Ammann; René Just (ICSE, 2022)

Equivalent Mutants in the Wild: Identifying and Efficiently Suppressing Equivalent Mutants for Java Programs. - Benjamin Kushigian; Samuel J. Kaufman; Ryan Featherman; Hannah Potter; Ardi Madadi; René Just (ISSTA, 2024)

Morello: Compiling Fast Neural Networks with Dynamic Programming and Spatial Compression. - Samuel J. Kaufman; René Just; Rastislav Bodík (CoRR, 2025)