Shouxi Luo

Orcid: 0000-0002-4041-3681

According to our database1, Shouxi Luo authored at least 62 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Efficient Cross-Cloud Partial Reduce With CREW.
IEEE Trans. Parallel Distributed Syst., November, 2024

Releasing the Power of In-Network Aggregation With Aggregator-Aware Routing Optimization.
IEEE/ACM Trans. Netw., October, 2024

Efficient and Flexible Component Placement for Serverless Computing.
IEEE Syst. J., June, 2024

Densely Knowledge-Aware Network for Multivariate Time Series Classification.
IEEE Trans. Syst. Man Cybern. Syst., April, 2024

Deep Contrastive Representation Learning With Self-Distillation.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2024

Efficient Inter-Datacenter AllReduce With Multiple Trees.
IEEE Trans. Netw. Sci. Eng., 2024

Towards Optimal Topology-Aware AllReduce Synthesis.
Proceedings of the 32nd IEEE/ACM International Symposium on Quality of Service, 2024

2023
Evolutionary Multi-Objective Reinforcement Learning Based Trajectory Control and Task Offloading in UAV-Assisted Mobile Edge Computing.
IEEE Trans. Mob. Comput., December, 2023

On Jointly Optimizing Partial Offloading and SFC Mapping: A Cooperative Dual-Agent Deep Reinforcement Learning Approach.
IEEE Trans. Parallel Distributed Syst., August, 2023

Meeting Coflow Deadlines in Data Center Networks With Policy-Based Selective Completion.
IEEE/ACM Trans. Netw., February, 2023

UbiNN: A Communication Efficient Framework for Distributed Machine Learning in Edge Computing.
IEEE Trans. Netw. Sci. Eng., 2023

On ECG Signal Classification: An NAS-empowered Semantic Communication System.
Proceedings of the 22nd IEEE International Conference on Trust, 2023

FedDistillSC: A Distributed Semantic Communication System Based on Federated Distillation.
Proceedings of the 23rd IEEE International Conference on Communication Technology, 2023

A Multi-user Deep Semantic Communication System based on Federated Learning with Dynamic Model Aggregation.
Proceedings of the IEEE International Conference on Communications, 2023

2022
Beamer: Stage-Aware Coflow Scheduling to Accelerate Hyper-Parameter Tuning in Deep Learning Clusters.
IEEE Trans. Netw. Serv. Manag., 2022

An ACO for energy-efficient and traffic-aware virtual machine placement in cloud computing.
Swarm Evol. Comput., 2022

SelfMatch: Robust semisupervised time-series classification with self-distillation.
Int. J. Intell. Syst., 2022

Offloading dependent tasks in multi-access edge computing: A multi-objective reinforcement learning approach.
Future Gener. Comput. Syst., 2022

Spectrum sensing in cognitive radio: A deep learning based model.
Trans. Emerg. Telecommun. Technol., 2022

Poster: Selective Reduce for Heterogeneous Distributed Training.
Proceedings of the 30th IEEE International Conference on Network Protocols, 2022

Eliminating Communication Bottlenecks in Cross-Device Federated Learning with In-Network Processing at the Edge.
Proceedings of the IEEE International Conference on Communications, 2022

Fast Parameter Synchronization for Distributed Learning with Selective Multicast.
Proceedings of the IEEE International Conference on Communications, 2022

Efficient Partial Reduce Across Clouds.
Proceedings of the 6th Asia-Pacific Workshop on Networking, 2022

Approximate Gradient Synchronization with AQGB.
Proceedings of the 6th Asia-Pacific Workshop on Networking, 2022

2021
Softwarized IP Multicast in the Cloud.
IEEE Netw., 2021

RTFN: A robust temporal feature network for time series classification.
Inf. Sci., 2021

DGT: A contribution-aware differential gradient transmission mechanism for distributed machine learning.
Future Gener. Comput. Syst., 2021

A two-stage approach for multicast-oriented virtual network function placement.
Appl. Soft Comput., 2021

Poster: Accelerate Cross-Device Federated Learning With Semi-Reliable Model Multicast Over The Air.
Proceedings of the 29th IEEE International Conference on Network Protocols, 2021

Fast Synchronization of Model Updates for Collaborative Learning in Micro-Clouds.
Proceedings of the 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, 2021

2020
Near-Optimal Multicast Tree Construction in Leaf-Spine Data Center Networks.
IEEE Syst. J., 2020

Online job scheduling for distributed machine learning in optical circuit switch networks.
Knowl. Based Syst., 2020

Efficient File Dissemination in Data Center Networks With Priority-Based Adaptive Multicast.
IEEE J. Sel. Areas Commun., 2020

JPAS: Job-progress-aware flow scheduling for deep learning clusters.
J. Netw. Comput. Appl., 2020

A Multiobjective Computation Offloading Algorithm for Mobile-Edge Computing.
IEEE Internet Things J., 2020

Efficient Multisource Data Delivery in Edge Cloud With Rateless Parallel Push.
IEEE Internet Things J., 2020

Job scheduling for distributed machine learning in optical WAN.
Future Gener. Comput. Syst., 2020

PSNet: Reconfigurable network topology design for accelerating parameter server architecture based distributed machine learning.
Future Gener. Comput. Syst., 2020

Selective Coflow Completion for Time-sensitive Distributed Applications with Poco.
Proceedings of the ICPP 2020: 49th International Conference on Parallel Processing, 2020

STDPG: A Spatio-Temporal Deterministic Policy Gradient Agent for Dynamic Routing in SDN.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

2019
Scalable explicit path control in software-defined networks.
J. Netw. Comput. Appl., 2019

Customizable network update planning in SDN.
J. Netw. Comput. Appl., 2019

Flow-aware explicit congestion notification for datacenter networks.
Clust. Comput., 2019

An integer encoding grey wolf optimizer for virtual network function placement.
Appl. Soft Comput., 2019

A PBIL for delay constrained virtual network function placement with load balancing.
Proceedings of the ACM Turing Celebration Conference - China, 2019

2017
Swing State: Consistent Updates for Stateful and Programmable Data Planes.
Proceedings of the Symposium on SDN Research, 2017

Scalable path provision in software defined networks.
Proceedings of the 2017 IEEE Conference on Computer Communications Workshops, 2017

Cotask scheduling in cloud computing.
Proceedings of the 25th IEEE International Conference on Network Protocols, 2017

Enhancing the reliability of services in NFV with the cost-efficient redundancy scheme.
Proceedings of the IEEE International Conference on Communications, 2017

2016
Towards Practical and Near-Optimal Coflow Scheduling for Data Center Networks.
IEEE Trans. Parallel Distributed Syst., 2016

Scalable Fine-grained Path Control in Software Defined Networks.
CoRR, 2016

Arrange your network updates as you wish.
Proceedings of the 2016 IFIP Networking Conference, 2016

Decentralized deadline-aware coflow scheduling for datacenter networks.
Proceedings of the 2016 IEEE International Conference on Communications, 2016

Information-agnostic coflow scheduling with optimal demotion thresholds.
Proceedings of the 2016 IEEE International Conference on Communications, 2016

Achieving Fast and Lightweight SDN Updates with Segment Routing.
Proceedings of the 2016 IEEE Global Communications Conference, 2016

Efficient and Low-Delay Task Scheduling for Big Data Clusters in a Theoretical Perspective.
Proceedings of the 2016 IEEE Global Communications Conference, 2016

2015
Consistency is Not Easy: How to Use Two-Phase Update for Wildcard Rules?
IEEE Commun. Lett., 2015

Practical flow table aggregation in SDN.
Comput. Networks, 2015

Minimizing average coflow completion time with decentralized scheduling.
Proceedings of the 2015 IEEE International Conference on Communications, 2015

Fast lossless traffic migration for SDN updates.
Proceedings of the 2015 IEEE International Conference on Communications, 2015

2014
Fast incremental flow table aggregation in SDN.
Proceedings of the 23rd International Conference on Computer Communication and Networks, 2014

Dynamic topology management in optical datacenter networks.
Proceedings of the IEEE Global Communications Conference, 2014


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