Qingxiang Liu

Orcid: 0000-0003-2277-830X

Affiliations:
  • Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China


According to our database1, Qingxiang Liu authored at least 12 papers between 2018 and 2025.

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

Timeline

Legend:

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Bibliography

2025
REFOL: Resource-Efficient Federated Online Learning for Traffic Flow Forecasting.
IEEE Trans. Intell. Transp. Syst., February, 2025

Personalized Federated Learning for Spatio-Temporal Forecasting: A Dual Semantic Alignment-Based Contrastive Approach.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Online Spatio-Temporal Correlation-Based Federated Learning for Traffic Flow Forecasting.
IEEE Trans. Intell. Transp. Syst., October, 2024

Exploring the Distributed Knowledge Congruence in Proxy-data-free Federated Distillation.
ACM Trans. Intell. Syst. Technol., April, 2024

2022
Exploring the Distributed Knowledge Congruence in Proxy-data-free Federated Distillation.
CoRR, 2022

2021
A blockchain-based computation offloading method for edge computing in 5G networks.
Softw. Pract. Exp., 2021

2020
Customized Federated Learning for accelerated edge computing with heterogeneous task targets.
Comput. Networks, 2020

2019
A Blockchain-Powered Crowdsourcing Method With Privacy Preservation in Mobile Environment.
IEEE Trans. Comput. Soc. Syst., 2019

A computation offloading method over big data for IoT-enabled cloud-edge computing.
Future Gener. Comput. Syst., 2019

Uncertainty-Aware Resource Provisioning for Workflow Scheduling in Edge Computing Environment.
Proceedings of the 18th IEEE International Conference On Trust, 2019

2018
An IoT-Oriented data placement method with privacy preservation in cloud environment.
J. Netw. Comput. Appl., 2018

A Heuristic Virtual Machine Scheduling Method for Load Balancing in Fog-Cloud Computing.
Proceedings of the 4th IEEE International Conference on Big Data Security on Cloud, 2018


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