Fengbin Wu

17 papers B 1Journal 15Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Heterogeneous operator mechanism and stochastic configuration network-enhanced large-scale multi-objective evolutionary algorithm.
J. Comput. Des. Eng.
Fengbin Wu, Shaobo Li, Yizong Zhang, Jianhang Tang, Panliang Yuan, Yang Hu, Libang Wu
2025 J jnl
A Multiview Spatial-Temporal Adaptive Transformer-GRU Framework for Traffic Flow Prediction.
IEEE Internet Things J.
Yang Hu, Shaobo Li, Dawen Xia, Wenyong Zhang, Panliang Yuan, Fengbin Wu, Huaqing Li
2025 J jnl
Deep Reinforcement Learning Task Scheduling Method for Real-Time Performance Awareness.
IEEE Access
Jinming Wang, Shaobo Li, Xingxing Zhang, Keyu Zhu, Cankun Xie, Fengbin Wu
2025 B conf
Enhancing Recommendation Systems with a Cross-Integrated Graph Attention Factorization Machine and Triple Training.
IEEE Big Data
Mingbao Yang, Zhiwen Zhao, Qing-Guo Wang, Fengbin Wu, Zijin Li, Yunfang Xu
2025 J jnl
Reinforcement learning-assisted multi-layered binary exponential distribution optimizer for 0-1 knapsack problem.
J. King Saud Univ. Comput. Inf. Sci.
Fengbin Wu, Shaobo Li, Junxing Zhang, Libang Wu, Panliang Yuan, Mingbao Yang
2024 J jnl
An Energy-Efficient Dynamic Offloading Algorithm for Edge Computing Based on Deep Reinforcement Learning.
IEEE Access
Keyu Zhu, Shaobo Li, Xingxing Zhang, Jinming Wang, Cankun Xie, Fengbin Wu, Rongxiang Xie
2024 J jnl
An enhanced slime mould algorithm with triple strategy for engineering design optimization.
J. Comput. Des. Eng.
Shuai Wang, Junxing Zhang, Shaobo Li, Fengbin Wu, Shaoyang Li
2024 J jnl
Bernstein-based oppositional-multiple learning and differential enhanced exponential distribution optimizer for real-world optimization problems.
Eng. Appl. Artif. Intell.
Fengbin Wu, Shaobo Li, Junxing Zhang, Rongxiang Xie, Mingbao Yang
2024 J jnl
Cost optimization in edge computing: a survey.
Artif. Intell. Rev.
Liming Cao, Tao Huo, Shaobo Li, Xingxing Zhang, Yanchi Chen, Guangzheng Lin, Fengbin Wu, Yihong Ling, Yaxin Zhou, Qun Xie
2024 J jnl
Deep reinforcement learning task scheduling method based on server real-time performance.
PeerJ Comput. Sci.
Jinming Wang, Shaobo Li, Xingxing Zhang, Fengbin Wu, Cankun Xie
2024 J jnl
ERTH scheduler: enhanced red-tailed hawk algorithm for multi-cost optimization in cloud task scheduling.
Artif. Intell. Rev.
Xinqi Qin, Shaobo Li, Jian Tong, Cankun Xie, Xingxing Zhang, Fengbin Wu, Qun Xie, Yihong Ling, Guangzheng Lin
2024 J jnl
Multi-Strategy-Improved Growth Optimizer and Its Applications.
Axioms
Rongxiang Xie, Liya Yu, Shaobo Li, Fengbin Wu, Tao Zhang, Panliang Yuan
2024 — conf
Optimization of cloud computing task scheduling based on whale optimization algorithm with quasi-opposition-based and nonlinear factor.
IoTAAI
Xiong Xuan, Shaobo Li, Liya Yu, Fengbin Wu, Xingxing Zhang, Xue An
2023 J jnl
Adaptive finite-time fault-tolerant control for the full-state-constrained robotic manipulator with novel given performance.
Eng. Appl. Artif. Intell.
Menghan Li, Junxing Zhang, Shaobo Li, Fengbin Wu
2023 J jnl
An Enhanced Neural Network Algorithm with Quasi-Oppositional-Based and Chaotic Sine-Cosine Learning Strategies.
Entropy
Xuan Xiong, Shaobo Li, Fengbin Wu
2022 J jnl
An Enhanced Differential Evolution Algorithm with Bernstein Operator and Refracted Oppositional-Mutual Learning Strategy.
Entropy
Fengbin Wu, Junxing Zhang, Shaobo Li, Dongchao Lv, Menghan Li
2022 J jnl
Neural Adaptive Funnel Dynamic Surface Control with Disturbance-Observer for the PMSM with Time Delays.
Entropy
Menghan Li, Shaobo Li, Junxing Zhang, Fengbin Wu, Tao Zhang