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
Intro The 35th Conference on Neural Information Processing Systems (NeurIPS) — an A* ranking conference on Machine Learning (ML) — took place at ZoomVille in December this year, right before the Xmas holiday. It was a great place to…
HLB: Towards Load-Aware Load-Balancing Journal Article Forthcoming
In: IEEE/ACM Transactions on Networking, Forthcoming, ISSN: 1558-2566.
Reinforced Workload Distribution Fairness Inproceedings Forthcoming
In: Machine Learning for Systems at 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Forthcoming.
Towards Intelligent Load Balancing in Data Centers Inproceedings Forthcoming
In: Machine Learning for Systems at 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Dec 2021, Sydney, Australia, Forthcoming.
Charon: Load-Aware Load-Balancing in P4 Inproceedings
In: 1st Joint International Workshop on Network Programmability & Automation (NetPA) at 17th International Conference on Network and Service Management (CNSM 2021),, 2021.