Jia Luo

Orcid: 0000-0003-3914-8865

Affiliations:
  • Beijing University of Technology, College of Economics and Management, China
  • Paul Sabatier University, LAAS, Toulouse, France (PhD 2019)


According to our database1, Jia Luo authored at least 15 papers between 2018 and 2023.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2023
A survey of topic models: From a whole-cycle perspective.
J. Intell. Fuzzy Syst., December, 2023

Optimization models and solving approaches in relief distribution concerning victims' satisfaction: A review.
Appl. Soft Comput., August, 2023

A survey on cross-media search based on user intention understanding in social networks.
Inf. Fusion, 2023

A Comparative Analysis of the COVID-19 Infodemic in English and Chinese: Insights from Social Media Textual Data.
CoRR, 2023

2022
Cross-media search method based on complementary attention and generative adversarial network for social networks.
Int. J. Intell. Syst., 2022

2021
A Multifeature Complementary Attention Mechanism for Image Topic Representation in Social Networks.
Sci. Program., 2021

Attentive Relation Network for Object based Video Games.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
The Effect of Axis-Wise Triaxial Acceleration Data Fusion in CNN-Based Human Activity Recognition.
IEICE Trans. Inf. Syst., 2020

Solving the dynamic energy aware job shop scheduling problem with the heterogeneous parallel genetic algorithm.
Future Gener. Comput. Syst., 2020

2019
Parallel genetic algorithms to solve dynamic task scheduling problems efficiently by taking into account the energy. (Algorithmes génétiques parallèles pour résoudre des problèmes d'ordonnancement de tâches dynamiques de manière efficace en prenant en compte l'énergie).
PhD thesis, 2019

GPU based parallel genetic algorithm for solving an energy efficient dynamic flexible flow shop scheduling problem.
J. Parallel Distributed Comput., 2019

GPU based parallel genetic algorithm for solving an energy efficient dynamic flexible flow shop scheduling problem.
CoRR, 2019

A Dual Heterogeneous Island Genetic Algorithm for Solving Large Size Flexible Flow Shop Scheduling Problems on Hybrid multi-core CPU and GPU Platforms.
CoRR, 2019

2018
Acceleration of a CUDA-Based Hybrid Genetic Algorithm and its Application to a Flexible Flow Shop Scheduling Problem.
Proceedings of the 19th IEEE/ACIS International Conference on Software Engineering, 2018

A Survey on Parallel Genetic Algorithms for Shop Scheduling Problems.
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium Workshops, 2018


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