Deep Learning Assisted Resource Partitioning for Improving Performance on Commodity Servers. - Ruobing Chen 002; Jinping Wu; Haosen Shi 001; Yusen Li; Haiyan Yin; Shanjiang Tang; Xiaoguang Liu 001; Gang Wang 001 (PACT, 2020)

DRLPart: A Deep Reinforcement Learning Framework for Optimally Efficient and Robust Resource Partitioning on Commodity Servers. - Ruobing Chen 002; Jinping Wu; Haosen Shi 001; Yusen Li; Xiaoguang Liu 001; Gang Wang 001 (HPDC, 2021)

CASA: A Bridge Between Gradient of Policy Improvement and Policy Evaluation. - Changnan Xiao; Haosen Shi 001; Jiajun Fan; Shihong Deng (CoRR, 2021)

An Entropy Regularization Free Mechanism for Policy-based Reinforcement Learning. - Changnan Xiao; Haosen Shi 001; Jiajun Fan; Shihong Deng (CoRR, 2021)

GCNPart: Interference-Aware Resource Partitioning Framework with Graph Convolutional Neural Networks and Deep Reinforcement Learning. - Ruobing Chen 002; Haosen Shi 001; Jinping Wu; Yusen Li; Xiaoguang Liu 001; Gang Wang 001 (ICA3PP, 2022)

OLPart: Online Learning based Resource Partitioning for Colocating Multiple Latency-Critical Jobs on Commodity Computers. - Ruobing Chen 002; Haosen Shi 001; Yusen Li; Xiaoguang Liu 001; Gang Wang 001 (EuroSys, 2023)

Jointly Optimizing Job Assignment and Resource Partitioning for Improving System Throughput in Cloud Datacenters. - Ruobing Chen 002; Haosen Shi 001; Jinping Wu; Yusen Li; Xiaoguang Liu 001; Gang Wang 001 (ACM Trans. Archit. Code Optim., 2023)