Self-Adaptive Deep Multiple Kernel Learning Based on Rademacher Complexity. - Shengbing Ren; Wangbo Shen; Chaudry Naeem Siddique; You Li (Symmetry, 2019)

Evolving Deep Multiple Kernel Learning Networks Through Genetic Algorithms. - Wangbo Shen; Weiwei Lin 001; Yulei Wu; Fang Shi; Wentai Wu; Keqin Li 001 (IEEE Trans. Ind. Informatics, 2023)

Prediction of Heterogeneous Device Task Runtime Based on Edge Server-Oriented Deep Neuro-Fuzzy System. - Haijie Wu; Weiwei Lin 001; Wangbo Shen; Xiumin Wang; C. L. Philip Chen; Keqin Li 001 (IEEE Trans. Serv. Comput., 2025)

End-Edge-Cloud Heterogeneous Resources Scheduling Method Based on RNN and Particle Swarm Optimization. - Haijie Wu; Wangbo Shen; Weiwei Lin 001; Wei Li 058; Keqin Li 001 (IEEE Trans. Netw. Serv. Manag., 2025)

Reinforcement learning-based task scheduling for heterogeneous computing in end-edge-cloud environment. - Wangbo Shen; Weiwei Lin 001; Wentai Wu; Haijie Wu; Keqin Li 001 (Clust. Comput., 2025)

Adaptive Incremental Broad Learning System Based on Interval Type-2 Fuzzy Set With Automatic Determination of Hyperparameters. - Haijie Wu; Weiwei Lin 001; Yuehong Chen; Fang Shi; Wangbo Shen; C. L. Philip Chen (IEEE Trans. Fuzzy Syst., 2025)

Container Scheduling Strategy Based on Image Layer Reuse and Sequential Arrangement in Mobile Edge Computing. - Haijie Wu; Weiwei Lin 001; Haotong Zhang 003; Fang Shi; Wangbo Shen; Keqin Li 001; Albert Y. Zomaya (IEEE Trans. Mob. Comput., 2025)

CAGO-ECIL: Cloud-Assisted Genetic Optimization for Edge-Class Incremental Learning with training acceleration. - Huayue Zeng; Wangbo Shen; Haijie Wu; Min Dong; Weiwei Lin 001; C. L. Philip Chen (Future Gener. Comput. Syst., 2026)