Linjie Wu

Orcid: 0009-0000-4952-8955

According to our database1, Linjie Wu authored at least 15 papers between 2020 and 2025.

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

Timeline

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Bibliography

2025
An adaptive strategy based multi-population multi-objective optimization algorithm.
Inf. Sci., 2025

A dynamic interval multi-objective optimization algorithm based on environmental change detection.
Inf. Sci., 2025

2024
Explicable recommendation model based on a time-assisted knowledge graph and many-objective optimization algorithm.
Concurr. Comput. Pract. Exp., September, 2024

Interval many-objective dynamic charging planning in wireless rechargeable sensor networks.
Concurr. Comput. Pract. Exp., August, 2024

Dynamic adaptive multi-objective optimization algorithm based on type detection.
Inf. Sci., January, 2024

A dual-population Constrained Many-Objective Evolutionary Algorithm based on reference point and angle easing strategy.
PeerJ Comput. Sci., 2024

Dynamic deadline constrained multi-objective workflow scheduling in multi-cloud environments.
Expert Syst. Appl., 2024

2023
Dynamic multi-objective workflow scheduling for combined resources in cloud.
Simul. Model. Pract. Theory, December, 2023

Dynamic multi-objective evolutionary algorithm based on knowledge transfer.
Inf. Sci., July, 2023

Multi-factor Evolution for Large-scale Multi-objective Cloud Task Scheduling.
KSII Trans. Internet Inf. Syst., April, 2023

Multi-Objective Cloud Task Scheduling Optimization Based on Evolutionary Multi-Factor Algorithm.
IEEE Trans. Cloud Comput., 2023

Edge computing service deployment and task offloading based on multi-task high-dimensional multi-objective optimization.
CoRR, 2023

Collaborative Scheduling of Multi-cloud Distributed Multi-cloud Tasks Based on Evolutionary Multi-tasking Algorithm.
Proceedings of the Bio-Inspired Computing: Theories and Applications, 2023

2020
CNV-BAC: Copy number Variation Detection in Bacterial Circular Genome.
Bioinform., 2020

scRMD: imputation for single cell RNA-seq data via robust matrix decomposition.
Bioinform., 2020


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