Bo Liu

Orcid: 0000-0002-8695-7342

Affiliations:
  • Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China
  • University of Manchester, School of Electrical and Electronic Engineering, UK (PhD 2021)


According to our database1, Bo Liu authored at least 15 papers between 2020 and 2025.

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

Timeline

Legend:

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Bibliography

2025
Efficient and Cost-Effective Vehicle Recruitment for HD Map Crowdsourcing.
IEEE Trans. Mob. Comput., August, 2025

Strategic Storage Investment and Operation Under Uncertainty: Behavioral Economics Analysis.
IEEE Trans. Netw. Sci. Eng., 2025

Decentralized neighboring information fusion for traffic network signal control.
Neurocomputing, 2025

SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Cell-Less Offloading of Distributed Learning Tasks in Multi-Access Edge Computing.
IEEE Trans. Mob. Comput., December, 2024

Dual Role AoI-based Incentive Mechanism for HD map Crowdsourcing.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023
Enhance Local Consistency in Federated Learning: A Multi-Step Inertial Momentum Approach.
CoRR, 2023

Recruiting Heterogeneous Crowdsource Vehicles for Updating a High-Definition Map.
Proceedings of the 21st International Symposium on Modeling and Optimization in Mobile, 2023

Optimal Energy Storage Operation under Demand Uncertainty: A Prospect Theory Analysis.
Proceedings of the IEEE International Conference on Communications, 2023

2022
Consensus-Based Cooperative Algorithms for Training Over Distributed Data Sets Using Stochastic Gradients.
IEEE Trans. Neural Networks Learn. Syst., 2022

Velocity-Based Path Following Control for Autonomous Vehicles to Avoid Exceeding Road Friction Limits Using Sliding Mode Method.
IEEE Trans. Intell. Transp. Syst., 2022

A distributed deep reinforcement learning method for traffic light control.
Neurocomputing, 2022

2021
Distributed Heuristic Adaptive Neural Networks With Variance Reduction in Switching Graphs.
IEEE Trans. Cybern., 2021

A consensus-based decentralized training algorithm for deep neural networks with communication compression.
Neurocomputing, 2021

2020
Distributed Training for Multi-Layer Neural Networks by Consensus.
IEEE Trans. Neural Networks Learn. Syst., 2020


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