Junxue Zhang

Orcid: 0000-0001-6926-7801

Affiliations:

Hong Kong University of Science and Technology (HKUST), iSING Lab, Clear Water Bay, Hong Kong (PhD 2022)
Clustar Technology Co., Ltd., China (former)

According to our database¹, Junxue Zhang authored at least 35 papers between 2014 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

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In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

LiteFlow: Toward High-Performance Adaptive Neural Networks for Kernel Datapath.

[BibT_eX]

[DOI]

IEEE/ACM Trans. Netw., February, 2024

2023

Enabling ECN for Datacenter Networks With RTT Variations.

[BibT_eX]

[DOI]

Junxue Zhang

Wei Bai

Kai Chen

IEEE Trans. Cloud Comput., 2023

A Survey for Federated Learning Evaluations: Goals and Measures.

[BibT_eX]

[DOI]

CoRR, 2023

A Survey on Vertical Federated Learning: From a Layered Perspective.

[BibT_eX]

[DOI]

CoRR, 2023

FLASH: Towards a High-performance Hardware Acceleration Architecture for Cross-silo Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the 20th USENIX Symposium on Networked Systems Design and Implementation, 2023

Communication Efficient Secret Sharing with Dynamic Communication-Computation Conversion.

[BibT_eX]

[DOI]

Proceedings of the IEEE INFOCOM 2023, 2023

Enabling Load Balancing for Lossless Datacenters.

[BibT_eX]

[DOI]

Proceedings of the 31st IEEE International Conference on Network Protocols, 2023

2022

SoK: Fully Homomorphic Encryption Accelerators.

[BibT_eX]

[DOI]

CoRR, 2022

Sphinx: Enabling Privacy-Preserving Online Learning over the Cloud.

[BibT_eX]

[DOI]

Proceedings of the 43rd IEEE Symposium on Security and Privacy, 2022

LiteFlow: towards high-performance adaptive neural networks for kernel datapath.

[BibT_eX]

[DOI]

Proceedings of the SIGCOMM '22: ACM SIGCOMM 2022 Conference, Amsterdam, The Netherlands, August 22, 2022

Practical Lossless Federated Singular Vector Decomposition over Billion-Scale Data.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Practical and Secure Federated Recommendation with Personalized Mask.

[BibT_eX]

[DOI]

Proceedings of the Trustworthy Federated Learning - First International Workshop, 2022

Secure Forward Aggregation for Vertical Federated Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Trustworthy Federated Learning - First International Workshop, 2022

Towards the Full Extensibility of Multipath TCP with eMPTCP.

[BibT_eX]

[DOI]

Proceedings of the 30th IEEE International Conference on Network Protocols, 2022

Multi-objective congestion control.

[BibT_eX]

[DOI]

Proceedings of the EuroSys '22: Seventeenth European Conference on Computer Systems, Rennes, France, April 5, 2022

Spine: an efficient DRL-based congestion control with ultra-low overhead.

[BibT_eX]

[DOI]

Proceedings of the 18th International Conference on emerging Networking EXperiments and Technologies, 2022

2021

Aegis: A Trusted, Automatic and Accurate Verification Framework for Vertical Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Federated Singular Vector Decomposition.

[BibT_eX]

[DOI]

CoRR, 2021

Enabling Low Latency Edge Intelligence based on Multi-exit DNNs in the Wild.

[BibT_eX]

[DOI]

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

2020

Facilitating Application-Aware Bandwidth Allocation in the Cloud with One-Step-Ahead Traffic Information.

[BibT_eX]

[DOI]

IEEE Trans. Serv. Comput., 2020

RAT - Resilient Allreduce Tree for Distributed Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the APNet '20: 4th Asia-Pacific Workshop on Networking, 2020

2019

Quantifying the Performance of Federated Transfer Learning.

[BibT_eX]

[DOI]

CoRR, 2019

Bridging the Edge-Cloud Barrier for Real-time Advanced Vision Analytics.

[BibT_eX]

[DOI]

Proceedings of the 11th USENIX Workshop on Hot Topics in Cloud Computing, 2019

Enabling ECN for datacenter networks with RTT variations.

[BibT_eX]

[DOI]

Junxue Zhang

Wei Bai

Kai Chen

Proceedings of the 15th International Conference on Emerging Networking Experiments And Technologies, 2019

Rethinking Transport Layer Design for Distributed Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the 3rd Asia-Pacific Workshop on Networking, 2019

2017

Enabling application-aware flexible graph partition mechanism for parallel graph processing systems.

[BibT_eX]

[DOI]

Concurr. Comput. Pract. Exp., 2017

Resilient Datacenter Load Balancing in the Wild.

[BibT_eX]

[DOI]

Proceedings of the Conference of the ACM Special Interest Group on Data Communication, 2017

2016

Elastic resource provisioning for scientific workflow scheduling in cloud under budget and deadline constraints.

[BibT_eX]

[DOI]

Clust. Comput., 2016

A client-side directory prefetching mechanism for GlusterFS.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

AppBag: Application-Aware Bandwidth Allocation for Virtual Machines in Cloud Environment.

[BibT_eX]

[DOI]

Proceedings of the 45th International Conference on Parallel Processing, 2016

ECStor: A Flexible Enterprise-Oriented Cloud Storage System Based on GlusterFS.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Advanced Cloud and Big Data, 2016

2015

Towards optimized scheduling for data-intensive scientific workflow in multiple datacenter environment.

[BibT_eX]

[DOI]

Concurr. Comput. Pract. Exp., 2015

Superblock: An Application-Aware Dynamic Partition Strategy for Large-Scale Graph.

[BibT_eX]

[DOI]

Proceedings of the Third International Conference on Advanced Cloud and Big Data, 2015

2014

Game theory based dynamic resource allocation for hybrid environment with cloud and big data application.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Cost-Effective Virtual Machine Image Replication Management for Cloud Data Centers.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on High Performance Computing and Communications, 2014

Junxue Zhang

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