Yongbo Yu
Orcid: 0000-0003-4819-9023
According to our database1,
Yongbo Yu
authored at least 22 papers
between 2015 and 2024.
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Bibliography
2024
Lightweight decoder U-net crack segmentation network based on depthwise separable convolution.
Multim. Syst., October, 2024
Multiple object tracking with adaptive multi-features fusion and improved learnable graph matching.
Vis. Comput., April, 2024
A novel optimization approach to topology checking of pipeline vector data in browser side.
Computing, February, 2024
CoRR, 2024
S2 synthetic acceleration and positivity-preserving schemes for solving the neutron transport equation.
Commun. Nonlinear Sci. Numer. Simul., 2024
Proceedings of the Doctoral Consortium and Demo Track 2024 at the International Conference on Process Mining 2024 co-located with the 6th International Conference on Process Mining (ICPM 2024), 2024
2023
A image fusion and U-Net approach to improving crop planting structure multi-category classification in irrigated area.
J. Intell. Fuzzy Syst., 2023
FedHC: A Scalable Federated Learning Framework for Heterogeneous and Resource-Constrained Clients.
CoRR, 2023
CoRR, 2023
Energy-Aware Dynamic Resource Allocation in Container-Based Clouds via Cooperative Coevolution Genetic Programming.
Proceedings of the Applications of Evolutionary Computation - 26th European Conference, 2023
EagleRec: Edge-Scale Recommendation System Acceleration with Inter-Stage Parallelism Optimization on GPUs.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023
2022
Sensors, 2022
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022
A Genetic Programming-Based Hyper-Heuristic Approach for Multi-Objective Dynamic Workflow Scheduling in Cloud Environment.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022
2021
ACM Trans. Knowl. Discov. Data, 2021
Inf. Sci., 2021
Detecting a multigranularity event in an unequal interval time series based on self-adaptive segmenting.
Intell. Data Anal., 2021
Achieving Multi-Objective Scheduling of Heterogeneous Workflows in Cloud through a Genetic Programming Based Approach.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
2019
Achieving Flexible Scheduling of Heterogeneous Workflows in Cloud through a Genetic Programming Based Approach.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2015
Proceedings of the Web-Age Information Management - 16th International Conference, 2015