Shaolong Shi

Orcid: 0000-0002-1926-8141

According to our database1, Shaolong Shi authored at least 18 papers between 2017 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Individual Adaptive Regulation Strategy Inspired by Artificial Fish Swarm Algorithm for Tumor Targeting.
IEEE Trans. Mol. Biol. Multi Scale Commun., 2024

2023
A hypervolume-based evolutionary algorithm for rescue robot assignment problem of nuclear accident.
Appl. Intell., November, 2023

Dynamic In Vivo Computation for Learning-Based Nanobiosensing in Time-Varying Biological Landscapes.
IEEE Trans. Evol. Comput., 2023

Particle Coupling Mechanism inspired Adsorption Optimization in Autonomous in Vivo Computing.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

A Novel Computational Nanobiosensing Approach to Improve the Exploitation of In Vivo Computation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2023

GSA-Inspired Computational Nanobiosensing for Cancer Detection.
Proceedings of the Bio-Inspired Computing: Theories and Applications, 2023

2022
Tension-Relaxation In Vivo Computing Principle for Tumor Sensitization and Targeting.
IEEE Trans. Cybern., 2022

In Vivo Computing Strategies for Tumor Sensitization and Targeting.
IEEE Trans. Cybern., 2022

NGA-Inspired Nanorobots-Assisted Detection of Multifocal Cancer.
IEEE Trans. Cybern., 2022

SEResU-Net for Multimodal Brain Tumor Segmentation.
IEEE Access, 2022

Dynamic In Vivo Computation: Nanobiosensing from a Dynamic Optimization Perspective.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2021
Exponential evolution mechanism for in vivo computation.
Swarm Evol. Comput., 2021

A Dynamic In Vivo Computational Strategy for Tumor Targeting.
Proceedings of the International Conference on UK-China Emerging Technologies, 2021

2020
In Vivo Computation for Tumor Sensitization and Targeting at Different Tumor Growth Stages.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
Direct Targeting Strategy for Smart Cancer Detection as Natural Computing.
Proceedings of the 2019 IEEE International Conference on Communications, 2019

Lightweight Evolution Strategies for Nanoswimmers-oriented In Vivo Computation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
Computing-Inspired Detection of Multiple Cancers.
Proceedings of the 2018 IEEE International Conference on Communications, 2018

2017
Touchable computation: Computing-inspired bio-detection.
Proceedings of the 18th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2017


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