Mingli Shi

Orcid: 0000-0002-0865-7467

According to our database1, Mingli Shi authored at least 14 papers between 2019 and 2024.

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

Timeline

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Bibliography

2024
Multimodal Fusion Assisted Mmwave Beam Training in Dual-Model Networks.
IEEE Trans. Veh. Technol., January, 2024

2023
Collaborative Management of Resource Allocation and Precoding for Dual-Mode Networks.
IEEE Trans. Veh. Technol., August, 2023

2022
A Low Complexity Algorithm for Achievable Rate Maximization in mmWave Systems Aided by IRS.
IEEE Wirel. Commun. Lett., 2022

Deep Learning-Based Overhead Minimizing Hybrid Beamforming for Wideband mmWave Systems.
IEEE Wirel. Commun. Lett., 2022

Angle-Based Multi-Objective Evolutionary Algorithm Based On Pruning-Power Indicator for Game Map Generation.
IEEE Trans. Emerg. Top. Comput. Intell., 2022

Multiuser beamforming optimization for IRS-aided systems with discrete phase shifts.
IET Commun., 2022

Hybrid beamforming with impaired elements: Design of optimized beam pattern.
IET Commun., 2022

Model-Driven Deep Learning Assisted Beam Tracking for Millimeter-Wave Systems.
IEEE Commun. Lett., 2022

Adaptive Antenna Diagnosis Based on Clustering Block Sparse Bayesian Learning.
IEEE Commun. Lett., 2022

2021
Markov Approximation Based Resource Allocation Algorithm for Multi - Frequency Cooperative Networks.
Proceedings of the 21st International Conference on Communication Technology, 2021

2020
A New EDA with Dimension Reduction Technique for Large Scale Many-Objective Optimization.
Proceedings of the Advances in Swarm Intelligence - 11th International Conference, 2020

Multi/Many-Objective Optimization Via A New Preference Indicator.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
Evolutionary Optimization of Three-Degree Influence Spread in Social Networks Based on Discrete Bacterial Foraging Optimization Algorithm.
Proceedings of the Bio-inspired Computing: Theories and Applications, 2019

Adaptive Brain Storm Optimization Based on Learning Automata.
Proceedings of the Bio-inspired Computing: Theories and Applications, 2019


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