Yawen Wang


Contact:

yawenw at stanford.edu

About Me

I'm a PhD student in Electrical Engineering at Stanford University, advised by Professor Christos Kozyrakis. My research focuses on leveraging ML-based methods to efficiently and intelligently manage resources in the cloud.


Before starting my PhD, I graduated with a Bachelor of Science degree in ECE and CS from Cornell University in 2017. At Cornell University, I worked with Professor José Martínez on reinforcement-learning based garbage collection for SSDs.


Publications

SmartHarvest: Harvesting Idle CPUs Safely and Efficiently in the Cloud

Yawen Wang, Kapil Arya, Marios Kogias, Manohar Vanga, Aditya Bhandari, Neeraja J. Yadwadkar, Siddhartha Sen, Sameh Elnikety, Christos Kozyrakis, and Ricardo Bianchini

Proceedings of the 16th European Conference on Computer Systems (EuroSys), Virtual, April 2021.


Pocket: Ephemeral Storage for Serverless Analytics

Ana Klimovic, Yawen Wang, Patrick Stuedi, Animesh Trivedi, Jonas Pfefferle, and Christos Kozyrakis

Proceedings of USENIX Operating Systems Design and Implementation (OSDI), Carlsbad, CA, October 2018.


Understanding Ephemeral Storage for Serverless Analytics

Ana Klimovic, Yawen Wang, Christos Kozyrakis, Patrick Stuedi, Jonas Pfefferle, Animesh Trivedi

Proceedings of the USENIX Annual Technical Conference (ATC), Boston, MA, July 2018.


Industry Experiences

Internship at Microsoft Research (Summer-Fall 2020)

Mentors: Ricardo Bianchini, Dan Crankshaw


Internship at Microsoft Research (Summer 2018, Summer 2019)

Mentor: Ricardo Bianchini