Disha: A Direction Toward Software Engineering on the Net. - Raman Kannan; Zhen Chen; William Schroeder; Bo Cao; Rajesh Rao; Joe Occoner; Veenatejaswini Sanjivi; Kavitha Challapalli; Nanditha Gade; Bandish Chitre (WebNet, 1997)

Automating tactile graphics translation. - Richard E. Ladner; Melody Y. Ivory; Rajesh Rao; Sheryl Burgstahler; Dan Comden; Sangyun Hahn; Matthew Renzelmann; Satria Krisnandi; Mahalakshmi Ramasamy; Beverly Slabosky; Andrew Martin; Amelia Lacenski; et al. (ASSETS, 2005)

Spanner: Google's Globally Distributed Database. - James C. Corbett; Jeffrey Dean; Michael Epstein; Andrew Fikes; Christopher Frost 001; J. J. Furman; Sanjay Ghemawat; Andrey Gubarev; Christopher Heiser; Peter Hochschild; Wilson C. Hsieh; Sebastian Kanthak; et al. (ACM Trans. Comput. Syst., 2013)

Record fT, fmax, and GHz amplification in 2dimensional CVD MoS2 embedded gate fets. - Atresh Sanne; Saungeun Park; Rudresh Ghosh; Maruthi N. Yogeesh; Chison Liu; Deji Akinwande; Sanjay Kumar Banerjee; Leo Mathew; Rajesh Rao (ISCAS, 2017)

Spanner: Becoming a SQL System. - David F. Bacon; Nathan Bales; Nicolas Bruno; Brian F. Cooper; Adam Dickinson; Andrew Fikes; Campbell Fraser; Andrey Gubarev; Milind Joshi; Eugene Kogan; Alexander Lloyd; Sergey Melnik 001; et al. (SIGMOD Conference, 2017)

Time-Varying Autoregression with Low-Rank Tensors. - Kameron Decker Harris; Aleksandr Y. Aravkin; Rajesh Rao; Bingni Wen Brunton (SIAM J. Appl. Dyn. Syst., 2021)

Towards Structuring Real-World Data at Scale: Deep Learning for Extracting Key Oncology Information from Clinical Text with Patient-Level Supervision. - Sam Preston; Mu Wei; Rajesh Rao; Robert Tinn; Naoto Usuyama; Michael Lucas; Roshanthi Weerasinghe; Soohee Lee; Brian Piening; Paul Tittel; Naveen Valluri; Tristan Naumann; et al. (CoRR, 2022)

Large-Scale Domain-Specific Pretraining for Biomedical Vision-Language Processing. - Sheng Zhang 012; Yanbo Xu; Naoto Usuyama; Jaspreet Bagga; Robert Tinn; Sam Preston; Rajesh Rao; Mu Wei; Naveen Valluri; Cliff Wong; Matthew P. Lungren; Tristan Naumann; et al. (CoRR, 2023)

Toward structuring real-world data: Deep learning for extracting oncology information from clinical text with patient-level supervision. - Sam Preston; Mu Wei; Rajesh Rao; Robert Tinn; Naoto Usuyama; Michael Lucas; Yu Gu 017; Roshanthi Weerasinghe; Soohee Lee; Brian Piening; Paul Tittel; Naveen Valluri; et al. (Patterns, 2023)