Ruobing Chen

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 8

Top Topics

Convolutional Neural Networks

Parameter Tuning

Online Learning

Top Venues

IEEE Trans. Computers

Publications

Tiannuo Yang, Ruobing Chen, Yusen Li, Xiaoguang Liu, Gang Wang
CoTuner: A Hierarchical Learning Framework for Coordinately Optimizing Resource Partitioning and Parameter Tuning. ICPP (2023)
Ruobing Chen, Haosen Shi, Yusen Li, Xiaoguang Liu, Gang Wang
OLPart: Online Learning based Resource Partitioning for Colocating Multiple Latency-Critical Jobs on Commodity Computers. EuroSys (2023)
Ruobing Chen, Wangqi Peng, Yusen Li, Xiaoguang Liu, Gang Wang
Orchid: An Online Learning Based Resource Partitioning Framework for Job Colocation With Multiple Objectives. IEEE Trans. Computers 72 (12) (2023)
Ruobing Chen, Haosen Shi, Jinping Wu, Yusen Li, Xiaoguang Liu, Gang Wang
Jointly Optimizing Job Assignment and Resource Partitioning for Improving System Throughput in Cloud Datacenters. ACM Trans. Archit. Code Optim. 20 (3) (2023)
Ruobing Chen, Haosen Shi, Jinping Wu, Yusen Li, Xiaoguang Liu, Gang Wang
GCNPart: Interference-Aware Resource Partitioning Framework with Graph Convolutional Neural Networks and Deep Reinforcement Learning. ICA3PP (2022)
Ruobing Chen, Jinping Wu, Haosen Shi, Yusen Li, Xiaoguang Liu, Gang Wang
DRLPart: A Deep Reinforcement Learning Framework for Optimally Efficient and Robust Resource Partitioning on Commodity Servers. HPDC (2021)
Ruobing Chen, Jinping Wu, Haosen Shi, Yusen Li, Haiyan Yin, Shanjiang Tang, Xiaoguang Liu, Gang Wang
Deep Learning Assisted Resource Partitioning for Improving Performance on Commodity Servers. PACT (2020)
Yusen Li, Chuxu Shan, Ruobing Chen, Xueyan Tang, Wentong Cai, Shanjiang Tang, Xiaoguang Liu, Gang Wang, Xiaoli Gong, Ying Zhang
GAugur: Quantifying Performance Interference of Colocated Games for Improving Resource Utilization in Cloud Gaming. HPDC (2019)