Mingzhou Yang

Orcid: 0000-0002-8354-4622

According to our database1, Mingzhou Yang authored at least 14 papers between 2017 and 2023.

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

Timeline

Legend:

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Links

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Bibliography

2023
VARF: An Incentive Mechanism of Cross-Silo Federated Learning in MEC.
IEEE Internet Things J., September, 2023

Computation Offloading for Tasks With Bound Constraints in Multiaccess Edge Computing.
IEEE Internet Things J., September, 2023

Task Computation Offloading for Multi-Access Edge Computing via Attention Communication Deep Reinforcement Learning.
IEEE Trans. Serv. Comput., 2023

Data Mining Challenges and Opportunities to Achieve Net Zero Carbon Emissions: Focus on Electrified Vehicles.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Eco-PiNN: A Physics-informed Neural Network for Eco-toll Estimation.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

2022
A Novel Evolutionary Algorithm Based on Judgment-Rule Evolution Strategy for Structural Balance in Signed Social Networks.
IEEE Trans. Emerg. Top. Comput. Intell., 2022

Reinforcement-Learning-Based Competitive Opinion Maximization Approach in Signed Social Networks.
IEEE Trans. Comput. Soc. Syst., 2022

A hybrid optimization algorithm for structural balance model based on influence between nodes and community quality.
Swarm Evol. Comput., 2022

A promotive structural balance model based on reinforcement learning for signed social networks.
Neural Comput. Appl., 2022

Revolutionizing electric vehicle management: spatial computing challenges and opportunities.
Proceedings of the 15th ACM SIGSPATIAL International Workshop on Computational Transportation Science, 2022

2020
An improved network structural balance approach based on weighted node-to-node influence with evolutionary algorithm.
Appl. Soft Comput., 2020

Inferring Passengers' Interactive Choices on Public Transits via MA-AL: Multi-Agent Apprenticeship Learning.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

2019
Clinically applicable deep learning framework for organs at risk delineation in CT images.
Nat. Mach. Intell., 2019

2017
An Empirical Study on Learning Based Methods for User Consumption Intention Classification.
Proceedings of the Natural Language Processing and Chinese Computing, 2017


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