Fengbin Wu

According to our database, Fengbin Wu authored at least 18 papers between 2022 and 2026.

Collaborative distances:

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

2026

Jointly optimized semi-supervised graph embedding stochastic configuration networks for industrial fault diagnosis.

Panliang Yuan, Chenglong Zhang, Shaobo Li, Zihao Liao, Yang Hu, Fengbin Wu

J. Comput. Des. Eng., 2026

Heterogeneous operator mechanism and stochastic configuration network-enhanced large-scale multi-objective evolutionary algorithm.

Fengbin Wu, Shaobo Li, Yizong Zhang, Jianhang Tang, Panliang Yuan, Yang Hu, Libang Wu

J. Comput. Des. Eng., 2026

2025

A Multiview Spatial-Temporal Adaptive Transformer-GRU Framework for Traffic Flow Prediction.

Yang Hu, Shaobo Li, Dawen Xia, Wenyong Zhang, Panliang Yuan, Fengbin Wu, Huaqing Li

IEEE Internet Things J., March, 2025

Reinforcement learning-assisted multi-layered binary exponential distribution optimizer for 0-1 knapsack problem.

Fengbin Wu, Shaobo Li, Junxing Zhang, Libang Wu, Panliang Yuan, Mingbao Yang

J. King Saud Univ. Comput. Inf. Sci., 2025

Deep Reinforcement Learning Task Scheduling Method for Real-Time Performance Awareness.

Jinming Wang, Shaobo Li, Xingxing Zhang, Keyu Zhu, Cankun Xie, Fengbin Wu

IEEE Access, 2025

Enhancing Recommendation Systems with a Cross-Integrated Graph Attention Factorization Machine and Triple Training.

Mingbao Yang, Zhiwen Zhao, Qing-Guo Wang, Fengbin Wu, Zijin Li, Yunfang Xu

Proceedings of the IEEE International Conference on Big Data, 2025

2024

ERTH scheduler: enhanced red-tailed hawk algorithm for multi-cost optimization in cloud task scheduling.

Xinqi Qin, Shaobo Li, Jian Tong, Cankun Xie, Xingxing Zhang, Fengbin Wu, Qun Xie, Yihong Ling, Guangzheng Lin

Artif. Intell. Rev., December, 2024

Cost optimization in edge computing: a survey.

Liming Cao, Tao Huo, Shaobo Li, Xingxing Zhang, Yanchi Chen, Guangzheng Lin, Fengbin Wu, Yihong Ling, Yaxin Zhou, Qun Xie

Artif. Intell. Rev., November, 2024

Multi-Strategy-Improved Growth Optimizer and Its Applications.

Rongxiang Xie, Liya Yu, Shaobo Li, Fengbin Wu, Tao Zhang, Panliang Yuan

Axioms, June, 2024

Deep reinforcement learning task scheduling method based on server real-time performance.

Jinming Wang, Shaobo Li, Xingxing Zhang, Fengbin Wu, Cankun Xie

PeerJ Comput. Sci., 2024

An enhanced slime mould algorithm with triple strategy for engineering design optimization.

Shuai Wang, Junxing Zhang, Shaobo Li, Fengbin Wu, Shaoyang Li

J. Comput. Des. Eng., 2024

Bernstein-based oppositional-multiple learning and differential enhanced exponential distribution optimizer for real-world optimization problems.

Fengbin Wu, Shaobo Li, Junxing Zhang, Rongxiang Xie, Mingbao Yang

Eng. Appl. Artif. Intell., 2024

An Energy-Efficient Dynamic Offloading Algorithm for Edge Computing Based on Deep Reinforcement Learning.

Keyu Zhu, Shaobo Li, Xingxing Zhang, Jinming Wang, Cankun Xie, Fengbin Wu, Rongxiang Xie

IEEE Access, 2024

Optimization of cloud computing task scheduling based on whale optimization algorithm with quasi-opposition-based and nonlinear factor.

Xiong Xuan, Shaobo Li, Liya Yu, Fengbin Wu, Xingxing Zhang, Xue An

Proceedings of the 6th International Conference on Internet of Things, 2024

2023

An Enhanced Neural Network Algorithm with Quasi-Oppositional-Based and Chaotic Sine-Cosine Learning Strategies.

Xuan Xiong, Shaobo Li, Fengbin Wu

Entropy, September, 2023

Adaptive finite-time fault-tolerant control for the full-state-constrained robotic manipulator with novel given performance.

Menghan Li, Junxing Zhang, Shaobo Li, Fengbin Wu

Eng. Appl. Artif. Intell., 2023

2022

An Enhanced Differential Evolution Algorithm with Bernstein Operator and Refracted Oppositional-Mutual Learning Strategy.

Fengbin Wu, Junxing Zhang, Shaobo Li, Dongchao Lv, Menghan Li

Entropy, 2022

Neural Adaptive Funnel Dynamic Surface Control with Disturbance-Observer for the PMSM with Time Delays.

Menghan Li, Shaobo Li, Junxing Zhang, Fengbin Wu, Tao Zhang

Entropy, 2022