Jiashen Cao

I am now a fourth-year Ph.D. student at Georgia Tech. I am currently co-advised by Hyesoon Kim and Joy Arulraj. I am excited about leveraging modern hardwares for emergent workloads. Particularly, I am interested in building relational and relational-AI database systems by leveraging the power of GPUs. I also contributed to EvaDB extensively. I am also a lead contributor of project SeaJay.

Selected Publications

• GPU Database Systems Characterization and Optimization
  Jiashen Cao, Rathijit Sen, Matteo Interlandi, Joy Arulraj, Hyesoon Kim
  VLDB 2024 [PDF] [Code]

• FiGO: Fine-Grained Query Optimization in Video Analytics
  Jiashen Cao, Karan Sarkar, Ramyad Hadidi, Joy Arulraj, Hyesoon Kim
  SIGMOD 2022 [PDF] [Code]

• Characterizing the Deployment of Deep Neural Networks on Commercial Edge Devices
  Ramyad Hadidi, Jiashen Cao, Yilun Xie, Bahar Asgari, Tushar Krishna, Hyesoon Kim
  IISWC 2019 (Best paper runner-up) [PDF] [Code]

• Distributed Perception by Collaborative Robots
  Ramyad Hadidi, Jiashen Cao, Matthew Woodward, Michael S Ryoo, Hyesoon Kim
  IROS 2018 [PDF]

Work History

• Microsoft - DMX at MSR
  Research Intern (2023.05 - 2023.08)

• Microsoft - Gray System Lab
  Research Intern (2022.05 - 2022.08)

• Microsoft - Arch & Perf at MSR
  Research Intern (2021.05 - 2021.08)

• Clinc AI
  SDE Intern (2018.05 - 2018.07)

Education History

• Georgia Institute of Technology (2016.01 - present)
  B.Sc, M.Sc, and Ph.D. in CS

• Rose-Hulman Institute of Technology (2014.08 - transfer out)
  B.Sc in CS