Houkun Zhu

Publication Activity (10 Years)

Years Active: 2009-2022
Publications (10 Years): 7

Top Topics

Context Aware Ubiquitous Learning

Tunable Parameters

Context Aware Systems

Top Venues

Publications

Houkun Zhu, Dominik Scheinert, Lauritz Thamsen, Kain Kordian Gontarska, Odej Kao
Magpie: Automatically Tuning Static Parameters for Distributed File Systems using Deep Reinforcement Learning. CoRR (2022)
Houkun Zhu, Helena Ebel, Dominik Scheinert, Florian Schmidt, Jens Altenkirch, Odej Kao
Scalable and Data-driven Decision Support in the Maintenance, Repair, and Overhaul Process. IEEM (2022)
Houkun Zhu, Dominik Scheinert, Lauritz Thamsen, Kain Kordian Gontarska, Odej Kao
Magpie: Automatically Tuning Static Parameters for Distributed File Systems using Deep Reinforcement Learning. IC2E (2022)
Dominik Scheinert, Houkun Zhu, Lauritz Thamsen, Morgan K. Geldenhuys, Jonathan Will, Alexander Acker, Odej Kao
Enel: Context-Aware Dynamic Scaling of Distributed Dataflow Jobs using Graph Propagation. CoRR (2021)
Dominik Scheinert, Lauritz Thamsen, Houkun Zhu, Jonathan Will, Alexander Acker, Thorsten Wittkopp, Odej Kao
Bellamy: Reusing Performance Models for Distributed Dataflow Jobs Across Contexts. CoRR (2021)
Dominik Scheinert, Lauritz Thamsen, Houkun Zhu, Jonathan Will, Alexander Acker, Thorsten Wittkopp, Odej Kao
Bellamy: Reusing Performance Models for Distributed Dataflow Jobs Across Contexts. CLUSTER (2021)
Dominik Scheinert, Houkun Zhu, Lauritz Thamsen, Morgan K. Geldenhuys, Jonathan Will, Alexander Acker, Odej Kao
Enel: Context-Aware Dynamic Scaling of Distributed Dataflow Jobs using Graph Propagation. IPCCC (2021)
Houkun Zhu, Yuan Luo, Chuliang Weng, Minglu Li
A Collaborative Filtering Recommendation Model Using Polynomial Regression Approach. ChinaGrid (2009)