Zhiyuan Yao
PhD Student
After his studies on Aircraft Design and Engineering at Harbin Institute of Technology, Zhiyuan Yao completed his MSc&T in Internet of Things at École Polytechnique, where he focused on computer networking and distributed systems. His Master’s research focused on applying machine learning techniques and distributed algorithms to resource allocation optimisation in data centre networks.
Zhiyuan is now undertaking an industrial PhD under the joint supervision of Mark Townsley (Cisco) and Thomas Clausen (École polytechnique)
Latest Posts Mentioning Zhiyuan
Spring is here — and, so is the PhD-defence of Zhiyuan Yao: May 17, at 10:00 at Ecole Polytechnique
All good things must come to an end … and so, after about 3 years of scientific collaborations, a global pandemic, and 10 or so scientific papers published or in the pipeline, my PhD student Zhiyuan Yao is preparing to…
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Paper: CIKM’22 – Multi-Agent Reinforcement Learning for Network Load Balancing in Data Center
Intro Glad to announce that, together with my friend at Princeton University, I have pushed a paper on multi-agent reinforcement learning algorithms for load balancing problems to CIKM. Extending based on the paper “Reinforced Workload Distribution Fairness” which we have…
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Paper: Aquarius – Enable Fast, Scalable, Data-Driven Service Management in the Cloud
Intro Extending based on the paper Efficient Data-Driven Network Functions which I will physically present in the 30th International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication Systems in Nice, France, we have developed a platform…
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