I'm a 4th year Computer Science PhD student at Stanford, advised by David Mazieres and Matei Zaharia. I previously studied Computer Science at MIT (B.S.'19, M.Eng.'19) with a concentration in systems, supervised by Robert Morris.
Cornflakes: Zero-Copy Serialization for Microsecond-Scale Networking
Deepti Raghavan, Shreya Ravi, Gina Yuan, Pratiksha Thaker, Sanjari Srivastava, Micah Murray, Pedro Henrique Penna, Amy Ousterhout, Philip Levis, Matei Zaharia, Irene Zhang. SOSP 2023.
Sidecar: In-Network Performance Enhancements in the Age of Paranoid Transport Protocols [paper] [source]
Gina Yuan, David K. Zhang, Matthew Sotoudeh, Michael Welzl, Keith Winstein. HotNets 2022.
Offload Annotations: Bringing Heterogeneous Computing to Existing Libraries and Workloads [paper] [source]
Gina Yuan, Shoumik Palkar, Deepak Narayanan, Matei Zaharia. USENIX ATC 2020.
Aurum: A Data Discovery System [paper] [source]
Raul Castro Fernandez, Ziawasch Abedjan, Famien Koko, Gina Yuan, Samuel Madden, Michael Stonebraker. ICDE 2018.
Extricating IoT Devices from Vendor Infrastructure with Karl [paper]
Gina Yuan, David Mazières, Matei Zaharia. arXiv 2022.
Scalable Fault Tolerance for High-Performance Streaming Dataflow [abstract]
Gina Yuan. ACM Student Research Competition at SOSP 2019.
Scalable Fault Tolerance for High-Performance Streaming Dataflow [thesis]
Gina Yuan. M.Eng. Thesis, Massachusetts Institute of Technology, September 2019.