Chen Chen

Orcid: 0000-0001-9480-5632

Affiliations:

Shanghai Jiao Tong University, School of Electronic Information and Electrical Engineering, China
Hong Kong University of Science and Technology, Department of Computer Science, Hong Kong (PhD 2018)

According to our database¹, Chen Chen authored at least 19 papers between 2013 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

An Optimizing Framework on MLIR for Efficient FPGA-based Accelerator Generation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2024

2023

GIFT: Toward Accurate and Efficient Federated Learning With Gradient-Instructed Frequency Tuning.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Commun., April, 2023

Accelerating Distributed Learning in Non-Dedicated Environments.

[BibT_eX]

[DOI]

IEEE Trans. Cloud Comput., 2023

ASFL: Adaptive Semi-asynchronous Federated Learning for Balancing Model Accuracy and Total Latency in Mobile Edge Networks.

[BibT_eX]

[DOI]

Proceedings of the 52nd International Conference on Parallel Processing, 2023

STAG: Enabling Low Latency and Low Staleness of GNN-based Services with Dynamic Graphs.

[BibT_eX]

[DOI]

Proceedings of the 41st IEEE International Conference on Computer Design, 2023

DataFlower: Exploiting the Data-flow Paradigm for Serverless Workflow Orchestration.

[BibT_eX]

[DOI]

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

2022

Characterizing and orchestrating VM reservation in geo-distributed clouds to improve the resource efficiency.

[BibT_eX]

[DOI]

Proceedings of the 13th Symposium on Cloud Computing, SoCC 2022, 2022

2021

Two-Dimensional Learning Rate Decay: Towards Accurate Federated Learning with Non-IID Data.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

Communication-Efficient Federated Learning with Adaptive Parameter Freezing.

[BibT_eX]

[DOI]

Proceedings of the 41st IEEE International Conference on Distributed Computing Systems, 2021

2020

Metis: learning to schedule long-running applications in shared container clusters at scale.

[BibT_eX]

[DOI]

Proceedings of the International Conference for High Performance Computing, 2020

Semi-dynamic load balancing: efficient distributed learning in non-dedicated environments.

[BibT_eX]

[DOI]

Proceedings of the SoCC '20: ACM Symposium on Cloud Computing, 2020

2019

Round-Robin Synchronization: Mitigating Communication Bottlenecks in Parameter Servers.

[BibT_eX]

[DOI]

Chen Chen

Wei Wang

Bo Li

Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

2018

Performance-Aware Fair Scheduling: Exploiting Demand Elasticity of Data Analytics Jobs.

[BibT_eX]

[DOI]

Chen Chen

Wei Wang

Bo Li

Proceedings of the 2018 IEEE Conference on Computer Communications, 2018

CLIBE: Precise Cluster-Level I/O Bandwidth Enforcement in Distributed File System.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Conference on High Performance Computing and Communications; 16th IEEE International Conference on Smart City; 4th IEEE International Conference on Data Science and Systems, 2018

Fast Distributed Deep Learning via Worker-adaptive Batch Sizing.

[BibT_eX]

[DOI]

Proceedings of the ACM Symposium on Cloud Computing, 2018

2017

Cluster fair queueing: Speeding up data-parallel jobs with delay guarantees.

[BibT_eX]