About Me
I am an Assistant Professor of Computer Science at George Mason University. I am broadly interested in computer systems. My research covers a range of topics including distributed systems, storage systems, container-based virtualization, serverless/cloud computing, and the internet of things. Currently I am working on: (1) improving serverless computing using a full-stack approach spanning applications, to middleware, to the lower-level OS (watch this Youtube video summarizing our recent focus on serverless computing); and (2) building better (computing and storage) systems for distributed machine learning.
I received my Ph.D. degree from the Computer Science Department at Virginia Tech. During my Ph.D. I spent two summers at IBM Research Almaden in 2013 and 2014, and six months at Dell EMC Princeton Office in 2015.
Research Openings Details
I am currently looking for motivated students to work with me on systems research. If you are a Mason student who is interested in doing systems research, please come talk to me. For students outside Mason, I encourage you to apply to our graduate program. I can be reached at yuecheng@gmu.edu.
News
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06/22/2021Acceptance
Congrats to Zheng on FedAT accepted to SC 2021!
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04/26/2021Acceptance
Congrats to Ao on FaaSNet accepted to USENIX ATC 2021!
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03/05/2021Gift
Honored to receive a gift from Adobe Research for our work in serverless computing! Thanks, Adobe!
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02/14/2021Award
Thrilled to receive an NSF CAREER Award for my work on building serverless cloud storage infrastructure. Thanks, NSF!
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10/30/2020Award
Excited to receive an Amazon Machine Learning Research Award with Liang Zhao @ Emory!
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08/21/2020Acceptance
Congrats to Junxiang and Zheng on their paper getting accepted to IEEE ICDM 2020!
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08/08/2020Acceptance
Congrats to Ben, Jingyuan, and Ao on Wukong getting accepted by ACM SoCC 2020! Wukong is a super-fast serverless parallel computing framework built atop AWS Lambda. Wukong achieves up to 68X speedup over state-of-the-art serverless parallel processing frameworks. Wukong project is online. We are happy to accept contributions!
*Archived news*