Qi Liu

Orcid: 0000-0003-3649-8894

Affiliations:
  • Shanghai Jiao Tong University, Shanghai, China
  • Northeastern University, School of Information Science and Engineering, Shenyang, China (former)


According to our database1, Qi Liu authored at least 11 papers between 2018 and 2024.

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

Timeline

2018
2019
2020
2021
2022
2023
2024
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
$E^{2}MS$: An Efficient and Economical Microservice Migration Strategy for Smart Manufacturing.
IEEE Trans. Serv. Comput., 2024

The Deployment of Microservice at Edge based on MQTT for Low Latency.
Proceedings of the 22nd IEEE International Conference on Industrial Informatics, 2024

2023
To Transmit or Predict: An Efficient Industrial Data Transmission Scheme With Deep Learning and Cloud-Edge Collaboration.
IEEE Trans. Ind. Informatics, November, 2023

Collaborate Global and Local: An Efficient PV Compound Fault Diagnosis Scheme With Multilabel Learning and Model Fusion.
IEEE Trans. Instrum. Meas., 2023

2022
Asynchronous Decentralized Federated Learning for Collaborative Fault Diagnosis of PV Stations.
IEEE Trans. Netw. Sci. Eng., 2022

A Deep Learning Based Efficient Data Transmission for Industrial Cloud-Edge Collaboration.
Proceedings of the 31st IEEE International Symposium on Industrial Electronics, 2022

A PV Fault Diagnosis Framework Based on Asynchronous Federated Learning.
Proceedings of the 13th Asian Control Conference, 2022

2021
Diagnosis for IGBT Open-circuit Faults in Photovoltaic Inverters: A Compressed Sensing and CNN based Method.
Proceedings of the 19th IEEE International Conference on Industrial Informatics, 2021

Collaboratively Diagnosing IGBT Open-circuit Faults in Photovoltaic Inverters: A Decentralized Federated Learning-based Method.
Proceedings of the IECON 2021, 2021

2020
Energy Trading in Microgrids for Synergies among Electricity, Hydrogen and Heat Networks.
CoRR, 2020

2018
A Novel Denoising Algorithm of Electromagnetic Ultrasonic Detection Signal Based on Improved EEMD Method.
J. Electr. Comput. Eng., 2018


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