Jia Luo
Orcid: 0000-0003-3914-8865Affiliations:
- 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 19 papers
between 2018 and 2024.
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Bibliography
2024
A Positive Sample Enhancement Algorithm with Fuzzy Nearest Neighbor Hybridization for Imbalance Data.
Int. J. Fuzzy Syst., November, 2024
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
A Mathematical Model and a Convergence Result for Totally Asynchronous Federated Learning.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024
2023
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
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
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium Workshops, 2018