Wangbo Shen

According to our database, Wangbo Shen authored at least 10 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

BlockEdge: A Hybrid Blockchain Framework for Secure and Efficient Collaboration in EEC Environments.

Wangbo Shen, Weiwei Lin, Tiansheng Huang, Xinyi Hu, Mian Guo, Haijie Wu

ACM Trans. Internet Techn., February, 2026

CAGO-ECIL: Cloud-Assisted Genetic Optimization for Edge-Class Incremental Learning with training acceleration.

Huayue Zeng, Wangbo Shen, Haijie Wu, Min Dong, Weiwei Lin, C. L. Philip Chen

Future Gener. Comput. Syst., 2026

2025

MCG-Sched: Multi-Cluster GPU Scheduling for Resource Fragmentation Reduction and Load Balancing.

Haijie Wu, Xinhua Wang, Xiaoxuan Luo, Wangbo Shen, Weiwei Lin

IEEE Trans. Parallel Distributed Syst., December, 2025

Container Scheduling Strategy Based on Image Layer Reuse and Sequential Arrangement in Mobile Edge Computing.

Haijie Wu, Weiwei Lin, Haotong Zhang, Fang Shi, Wangbo Shen, Keqin Li, Albert Y. Zomaya

IEEE Trans. Mob. Comput., September, 2025

Adaptive Incremental Broad Learning System Based on Interval Type-2 Fuzzy Set With Automatic Determination of Hyperparameters.

Haijie Wu, Weiwei Lin, Yuehong Chen, Fang Shi, Wangbo Shen, C. L. Philip Chen

IEEE Trans. Fuzzy Syst., June, 2025

Reinforcement learning-based task scheduling for heterogeneous computing in end-edge-cloud environment.

Wangbo Shen, Weiwei Lin, Wentai Wu, Haijie Wu, Keqin Li

Clust. Comput., June, 2025

End-Edge-Cloud Heterogeneous Resources Scheduling Method Based on RNN and Particle Swarm Optimization.

Haijie Wu, Wangbo Shen, Weiwei Lin, Wei Li, Keqin Li

IEEE Trans. Netw. Serv. Manag., April, 2025

Prediction of Heterogeneous Device Task Runtime Based on Edge Server-Oriented Deep Neuro-Fuzzy System.

Haijie Wu, Weiwei Lin, Wangbo Shen, Xiumin Wang, C. L. Philip Chen, Keqin Li

IEEE Trans. Serv. Comput., 2025

2023

Evolving Deep Multiple Kernel Learning Networks Through Genetic Algorithms.

Wangbo Shen, Weiwei Lin, Yulei Wu, Fang Shi, Wentai Wu, Keqin Li

IEEE Trans. Ind. Informatics, 2023

2019

Self-Adaptive Deep Multiple Kernel Learning Based on Rademacher Complexity.

Shengbing Ren, Wangbo Shen, Chaudry Naeem Siddique, You Li

Symmetry, 2019