Chen Chen (陈晨)

Tenure-track Associate Professor, Ph.D. Advisor

John Hopcroft Center for Computer Science
School of Electronic Information and Electrical Engineering
Shanghai Jiao Tong University

Email: chen-chen AT sjtu DOT edu DOT cn

Office: SEIEE Building 3-301B

Short Bio
Chen Chen joined John Hopcroft Center for Computer Science of Shanghai Jiao Tong University as a tenure-track associate professor in 2022, where he is also a member of Emerging Parallel Computing Center at Computer Science and Engineering Department. Prior to that, he worked as a researcher at Huawei Hong Kong Research Center. In 2018, he obtained the Ph.D. degree in Computer Science from Hong Kong University of Science and Technology, under the supervision of Prof. Bo Li and Prof. Wei Wang. He obtained the Bachelor degree from Tsinghua Univerity in 2014. His research interests include cloud scheduling and distributed machine learning.
Openings

I am looking for self-motivated undergraduate, Master and PhD students to work with me. Feel free to drop me an email if you are interested.

Publications
  1. [TCC 2021] Accelerating Distributed Learning in Non-Dedicated Environments [Paper]
    Chen Chen, Qizhen Weng, Wei Wang, Baochun Li, and Bo Li,
    in IEEE Transactions on Cloud Computing, 2021. To appear.
  2. [IJCNN 2021] Two-Dimensional Learning Rate Decay: Towards Accurate Federated Learning with Non-IID Data [Paper]
    Kaiwei Mo, Chen Chen, Jiamin Li, Hong Xu, and Chun Jason Xue,
    in International Joint Conference on Neural Networks, 2021.
  3. [ICDCS 2021] Communication-Efficient Federated Learning with Adaptive Parameter Freezing [Paper]
    Chen Chen, Hong Xu, Wei Wang, Baochun Li, Bo Li, Li Chen, Gong Zhang,
    in IEEE International Conference on Distributed Computing Systems, 2021.
  4. [SC 2020] Metis: Learning to Schedule Long-Running Applications in Shared Container Clusters at Scale [Paper]
    Luping Wang, Qizhen Weng, Wei Wang, Chen Chen, Bo Li,
    in IEEE/ACM International Conference for High Performance Computing, Networking, Storage, and Analysis, 2020.
  5. [SoCC 2020] Semi-Dynamic Load Balancing: Efficient Distributed Learning in Non-Dedicated Environments [Paper]
    Chen Chen, Qizhen Weng, Wei Wang, Baochun Li, Bo Li,
    in ACM Symposium on Cloud Computing, 2020.
  6. [INFOCOM 2019] Round-Robin Synchronization: Mitigating Communication Bottlenecks in Parameter Servers [Paper]
    Chen Chen, Wei Wang, Bo Li,
    in IEEE International Conference on Computer Communications, 2019.
  7. [SoCC 2018 Poster] Fast Distributed Deep Learning via Worker-adaptive Batch Sizing [Paper]
    Chen Chen, Qizhen Weng, Wei Wang, Baochun Li, Bo Li,
    in ACM Symposium on Cloud Computing, Poster Session, 2018.
  8. [INFOCOM 2018] Performance-Aware Fair Scheduling: Exploiting Demand Elasticity of Data Analytics Jobs [Paper]
    Chen Chen, Wei Wang, Bo Li,
    in IEEE International Conference on Computer Communications, 2018.
  9. [ICDCS 2017] Speculative Slot Reservation: Enforcing Service Isolation for Dependent Data-Parallel Computations [Paper]
    Chen Chen, Wei Wang, Bo Li,
    in IEEE International Conference on Distributed Computing Systems, 2017.
  10. [INFOCOM 2017] Cluster Fair Queueing: Speeding up Data-Parallel Jobs with Delay Guarantees [Paper]
    Chen Chen, Shengkai Zhang, Wei Wang, Bo Li,
    in IEEE International Conference on Computer Communications, 2017.
  11. [ICC 2016] Software-Defined Inter-Domain Routing Revisited [Paper]
    Chen Chen, Bo Li, Dong Lin, Baochun Li,
    in IEEE International Conference on Communications, 2016.
Last updated on Feb 2022.