Haosen Shi

According to our database, Haosen Shi authored at least 11 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Jointly Optimizing Job Assignment and Resource Partitioning for Improving System Throughput in Cloud Datacenters.

Ruobing Chen, Haosen Shi, Jinping Wu, Yusen Li, Xiaoguang Liu, Gang Wang

ACM Trans. Archit. Code Optim., September, 2023

Learning Compact Neural Networks with Deep Overparameterised Multitask Learning.

Shen Ren, Haosen Shi

CoRR, 2023

Pruning via Sparsity-indexed ODE: a Continuous Sparsity Viewpoint.

Zhanfeng Mo, Haosen Shi, Sinno Jialin Pan

Proceedings of the International Conference on Machine Learning, 2023

Deep Multitask Learning with Progressive Parameter Sharing.

Haosen Shi, Shen Ren, Tianwei Zhang, Sinno Jialin Pan

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

OLPart: Online Learning based Resource Partitioning for Colocating Multiple Latency-Critical Jobs on Commodity Computers.

Ruobing Chen, Haosen Shi, Yusen Li, Xiaoguang Liu, Gang Wang

Proceedings of the Eighteenth European Conference on Computer Systems, 2023

2022

Impact of Laser Intensity Noise on Dual-Comb Absolute Ranging Precision.

Jiaqi Wang, Haosen Shi, Chunze Wang, Minglie Hu, Youjian Song

Sensors, 2022

GCNPart: Interference-Aware Resource Partitioning Framework with Graph Convolutional Neural Networks and Deep Reinforcement Learning.

Ruobing Chen, Haosen Shi, Jinping Wu, Yusen Li, Xiaoguang Liu, Gang Wang

Proceedings of the Algorithms and Architectures for Parallel Processing, 2022

2021

An Entropy Regularization Free Mechanism for Policy-based Reinforcement Learning.

Changnan Xiao, Haosen Shi, Jiajun Fan, Shihong Deng

CoRR, 2021

CASA: A Bridge Between Gradient of Policy Improvement and Policy Evaluation.

Changnan Xiao, Haosen Shi, Jiajun Fan, Shihong Deng

CoRR, 2021

DRLPart: A Deep Reinforcement Learning Framework for Optimally Efficient and Robust Resource Partitioning on Commodity Servers.

Ruobing Chen, Jinping Wu, Haosen Shi, Yusen Li, Xiaoguang Liu, Gang Wang

Proceedings of the HPDC '21: The 30th International Symposium on High-Performance Parallel and Distributed Computing, 2021

2020

Deep Learning Assisted Resource Partitioning for Improving Performance on Commodity Servers.

Ruobing Chen, Jinping Wu, Haosen Shi, Yusen Li, Haiyan Yin, Shanjiang Tang, Xiaoguang Liu, Gang Wang

Proceedings of the PACT '20: International Conference on Parallel Architectures and Compilation Techniques, 2020