Hang Qu

353 Serra Mall, Stanford, CA 94305

I am a PhD student in the Electrical Engineering department of Stanford University, advised by Professor Philip Levis. My research interest is distributed systems and cloud computing. During my early PhD years, I looked into graphical simulations for research ideas. I got my Bachelor degree from Tsinghua University in China, where I researched networking under the supervision of Professor Dan Li and Professor Yong Li.


PhD Candidate

Stanford University

Major in Electrical Engineering

September 2012 - Present

Software Engineer Intern


In video infrastructure team

July 2017 - September 2017

Software Engineer Intern


In search infrastructure team

July 2013 - September 2013


Tsinghua University

Major in Electrical Engineering

September 2008 - July 2012


Execution Templates: Caching Control Plane Decisions for Strong Scaling of Data Analytics. Omid Mashayekhi, Hang Qu, Chinmayee Shah, and Philip Levis. In 2017 USENIX Annual Technical Conference (USENIX ATC '17), 2017. [pdf]
Decoupling the Control Plane from Program Control Flow for Flexibility and Performance in Cloud Computing. Hang Qu, Omid Mashayekhi, Chinmayee Shah, Philip Levis. In Proceedings of the 13th European Conference on Computer Systems (EuroSys '18), 2018. [pdf]
Automatically Distributing Eulerian and Hybrid Fluid Simulations in the Cloud. Omid Mashayekhi, Chinmayee Shah, Hang Qu, Andrew Lim, and Philip Levis. In ACM Transactions on Graphics 37, 2, Article 24, 2018. [pdf]
Distributing and Load Balancing Sparse Fluid Simulations. Chinmayee Shah, David Hyde, Hang Qu, and Philip Levis. In Proceedings of the 17th annual Symposium on Computer Animation (SCA 2018), 2018. [pdf]