Francisco Romero*, Caleb Winston*, Johann Hauswald, Matei Zaharia, and Christos Kozyrakis. "Zelda: Video Analytics using Vision-Language Models". Preprint.
Francisco Romero*, Johann Hauswald*, Aditi Partap, Daniel Kang, Matei Zaharia, and Christos Kozyrakis. "Optimizing Video Analytics with Declarative Model Relationships". Conference on Very Large Data Bases (VLDB), Vancouver, Canada, 2023 (to appear).
Francisco Romero*, Daniel Kang*, Peter Bailis, Christos Kozyrakis, and Matei Zaharia. "VIVA: An End-to-End System for Interactive Video Analytics". Conference on Innovative Data Systems Research (CIDR), Chaminade, California, 2022.
Francisco Romero, Gohar Irfan Chaudhry, Íñigo Goiri, Pragna Gopa, Paul Batum, Neeraja J. Yadwadkar, Rodrigo Fonseca, Christos Kozyrakis, and Ricardo Bianchini. "Faa$T: A Transparent Auto-Scaling Cache for Serverless Applications". Symposium on Cloud Computing (SoCC), Seattle, Washington, 2021.
Francisco Romero*, Mark Zhao*, Neeraja J. Yadwadkar, and Christos Kozyrakis. "Llama: A Heterogeneous & Serverless Framework for Auto-Tuning Video Analytics Pipelines". Symposium on Cloud Computing (SoCC), Seattle, Washington, 2021.
Francisco Romero*, Qian Li*, Neeraja J. Yadwadkar, and Christos Kozyrakis. "INFaaS: Automated Model-less Inference Serving". Usenix Annual Technical Conference (ATC), Virtual, 2021. Winner of best paper award!
Daniel Mendoza, Francisco Romero, Qian Li, Neeraja J. Yadwadkar, and Christos Kozyrakis. "Interference-Aware Scheduling for Inference Serving". Workshop on Machine Learning and Systems (EuroMLSys), Virtual, 2021.
Sadjad Fouladi, Francisco Romero, Dan Iter, Qian Li, Shuvo Chatterjee, Christos Kozyrakis, Matei Zaharia, and Keith Winstein. "From Laptop to Lambda: Outsourcing Everyday Jobs to Thousands of Transient Functional Containers". Usenix Annual Technical Conference (ATC), Renton, Washington, 2019.
Neeraja J. Yadwadkar, Francisco Romero, Qian Li, and Christos Kozyrakis. "A Case for Managed and Model-less Inference Serving". Hot Topics in Operating Systems (HotOS), Bertinoro, Italy, 2019.
Francisco Romero and Christina Delimitrou. "Mage: Online and Interference-Aware Scheduling for Multi-Scale Heterogeneous Systems". Parallel Architectures and Compilation Techniques (PACT), Limassol, Cyprus, 2018.
James Gibson, Athanasios Katsamanis, Francisco Romero, Bo Xiao, Panayiotis Georgiou, and Shrikanth Narayanan. "Multiple Instance Learning for Behavioral Coding". IEEE Transactions on Affective Computing, 2016.
James Gibson, Nikolaos Malandrakis, Francisco Romero, David Atkins, and Shrikanth Narayanan. "Predicting Therapist Empathy in Motivational Interviews using Language Features Inspired by Psycholinguistic Norms". Proc. of Interspeech, Dresden, Germany, 2015.
Daniel Thompson, Harry Marr, and Francisco Romero. "Processing System with Encoding for Processing Multiple Analog Signals." US Patent 9,391,631, July 2016 (filed January 2015).
VIVA: An End-to-End System for Interactive Video Analytics
Platform Lab Review, Virtual, 2022.
Conference on Innovative Data Systems Research (CIDR), Chaminade, CA, 2022.
Faa$T: A Transparent Auto-Scaling Cache for Serverless Applications
Symposium on Cloud Computing (SoCC), Seattle, WA, 2021.
Platform Lab Review, Virtual, 2021.
Llama: A Heterogeneous & Serverless Framework for Auto-Tuning Video Analytics Pipelines
Symposium on Cloud Computing (SoCC), Seattle, WA, 2021.
Stanford Systems Seminar, Virtual, 2021.
Platform Lab Retreat, Virtual, 2020.
INFaaS: Automated Model-less Inference Serving
Usenix Annual Technical Conference (ATC), Virtual, 2021.
Uber, Virtual, 2021.
SRC JUMP Center CRISP Meeting, Virtual, 2020.
Stanford SystemX Conference, Stanford, CA, 2019.
NVIDIA, Santa Clara, CA, 2019.
Google, Mountain View, CA, 2019.
Platform Lab Retreat, Santa Cruz, CA, 2019.
The TRaCaR Ratio: A Method for Selecting the Right Storage Technology
Platform Lab Seminar, Stanford, CA, 2019.
Mage: Online and Interference-Aware Scheduling for Multi-Scale Heterogeneous Systems
Parallel Architectures and Compilation Techniques (PACT), Limassol, Cyprus, 2018.