Transforming enterprise communications through the blending of social networking and unified communications. - Michael J. Burns; R. Bruce Craig Jr.; Brian D. Friedman; Peter D. Schott; Christophe Senot (Bell Labs Tech. J., 2011)

A Multidimensional Approach to Characterizing and Visualizing Latent Relationships in Enterprise Social Networks. - Michael J. Burns; Brian D. Friedman (Bell Labs Tech. J., 2012)

Enterprise social network analysis and modeling: A tale of two graphs. - Jin Cao 002; Hongyu Gao; Li Erran Li; Brian D. Friedman (INFOCOM, 2013)

Enterprise Social Networking Data Analytics Within Alcatel-Lucent. - Brian D. Friedman; Michael J. Burns; Jin Cao (Bell Labs Tech. J., 2014)

An efficient and non-intrusive GPU scheduling framework for deep learning training systems. - Shaoqi Wang; Oscar J. Gonzalez; Xiaobo Zhou 002; Thomas Williams; Brian D. Friedman; Martin Havemann; Thomas Y. C. Woo (SC, 2020)

Proteus: A High-Throughput Inference-Serving System with Accuracy Scaling. - Sohaib Ahmad; Hui Guan 001; Brian D. Friedman; Thomas Williams; Ramesh K. Sitaraman; Thomas Y. C. Woo (ASPLOS (1), 2024)

Automating Code Adaptation for MLOps - A Benchmarking Study on LLMs. - Harsh Patel; Buvaneswari A. Ramanan; Manzoor A. Khan; Thomas Williams; Brian D. Friedman; Lawrence M. Drabeck (CoRR, 2024)