Feng Wang

According to our database, Feng Wang authored at least 29 papers between 2016 and 2024.

Collaborative distances:

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

2024

Disturbance Rejection for Nonlinear Systems Using Nonlinear-State-Observer-Based Equivalent-Input-Disturbance Approach.

Hantao Wang, Jinhua She, Feng Wang

IEEE Trans. Ind. Informatics, January, 2024

Explainable deep learning for sEMG-based similar gesture recognition: A Shapley-value-based solution.

Feng Wang, Xiaohu Ao, Min Wu, Seiichi Kawata, Jinhua She

Inf. Sci., 2024

Physical, mechanical characterization, and artificial neural network modeling of biodegradable composite scaffold for biomedical applications.

Feng Wang, D. T. Semirumi, Anqing He, Zhenghui Pan, A. Alizadeh

Eng. Appl. Artif. Intell., 2024

Modeling the Kinematics and Dynamics of the Pedaling Lower-Limb Rehabilitation Robot.

Hao Zhang, Juan Zhao, Feng Wang, Seiichi Kawata, Jinhua She

Proceedings of the International Workshop on Intelligent Systems, 2024

Disturbance Rejection in Lower-Limb Rehabilitation Robot with Parameter Uncertainties.

He Wang, Jinhua She, Feng Wang, Juan Zhao, Seiichi Kawata

Proceedings of the International Workshop on Intelligent Systems, 2024

Improved BP Neural Network Utilizing Bayesian optimization Algorithm for Iron-making Process Control.

Shaoran Wang, Jinhua She, Seiichi Kawata, Feng Wang, Juan Zhao, Qifu Chen, Zhenhong Liao

Proceedings of the 33rd IEEE International Symposium on Industrial Electronics, 2024

The Analysis of Muscle-Synergy Similarity between Walking and Pedaling Based on Variational Mode Decomposition and Non-Negative Matrix Factorization.

Wangyang Ge, Jinhua She, Shijie Guo, Feng Wang, Juan Zhao, Seiichi Kawata

Proceedings of the IEEE International Conference on Engineering, 2024

2023

Rehabilitation Evaluation System for Lower-Limb Rehabilitation Robot.

Li Jiang, Juan Zhao, Feng Wang, Yujian Zhou, Wangyang Ge, Jinhua She

J. Adv. Comput. Intell. Intell. Informatics, July, 2023

Disturbance Rejection and Control System Design Using $\lbrace 1\rbrace$-Inverse-Based Equivalent-Input-Disturbance Approach.

Qicheng Mei, Jinhua She, Feng Wang, Yosuke Nakanishi, Hiroshi Hashimoto, Daisuke Chugo

IEEE Trans. Ind. Electron., 2023

Disturbance Rejection and Control System Design Based on an Improved Equivalent-Input-Disturbance Approach.

Qicheng Mei, Jinhua She, Feng Wang, Yosuke Nakanishi

IEEE Trans. Ind. Electron., 2023

Dual-Task Network Embeddings for Influence Prediction in Social Internet of Things.

Feng Wang, Jinhua She, Guojun Wang, Yasuhiro Ohyama, Min Wu

IEEE Internet Things J., 2023

Disturbance Rejection for Pedaling Rehabilitation Robot Based on Integration of Equivalent-Input-Disturbance and Repetitive Control Methods.

Yujian Zhou, Jinhua She, Feng Wang, Makoto Iwasaki

Proceedings of the 32nd IEEE International Symposium on Industrial Electronics, 2023

A Model-Predictive-Enabled Equivalent-Input-Disturbance Approach for Disturbance Rejection.

Yujian Zhou, Jinhua She, Feng Wang, Makoto Iwasaki

Proceedings of the 6th IEEE International Conference on Industrial Cyber-Physical Systems, 2023

Effective Throughput Optimization of SAG Milling Process Based on BPNN and Genetic Algorithm.

Zhenhong Liao, Ce Xu, Wen Chen, Qifu Chen, Feng Wang, Jinhua She

Proceedings of the 6th IEEE International Conference on Industrial Cyber-Physical Systems, 2023

Interpretable analysis of feature importance and implicit correlation based on sEMG grayscale. images.

Xiaohu Ao, Feng Wang, Juan Zhao, Jinhua She

Proceedings of the 6th IEEE International Conference on Industrial Cyber-Physical Systems, 2023

2022

Extreme Gradient Boosting for Surface Electromyography Classification on Time-Domain Features.

Juan Zhao, Jinhua She, Dianhong Wang, Feng Wang

J. Adv. Comput. Intell. Intell. Informatics, 2022

A Modified Disturbance-Rejection Approach in Networked Control Systems Based on Adaptive Model Predictive Control and Equivalent-Input-Disturbance.

Meiliu Li, Jinhua She, Zhen-Tao Liu, Wangyong He, Feng Wang, Juan Zhao, Yasuhiro Ohyama

J. Adv. Comput. Intell. Intell. Informatics, 2022

Denoising Method for Surface Electromyography Signals Combining CEEMDAN and Interval Total Variation.

Xiaofeng Zong, Feng Wang, Jinhua She, Juan Zhao

Circuits Syst. Signal Process., 2022

2021

Maximizing positive influence in competitive social networks: A trust-based solution.

Feng Wang, Jinhua She, Yasuhiro Ohyama, Wenjun Jiang, Geyong Min, Guojun Wang, Min Wu

Inf. Sci., 2021

2020

Fluidspread: A New Method of Maximizing Positive Influence in Online Social Networks via Fluid Dynamics.

Feng Wang, Jinhua She, Yasuhiro Ohyama, Min Wu

Proceedings of the 16th IEEE International Conference on Control & Automation, 2020

2019

Influence maximization by leveraging the crowdsensing data in information diffusion network.

Feng Wang, Wenjun Jiang, Guojun Wang, Song Guo

J. Netw. Comput. Appl., 2019

Deep-Learning-based Identification of Influential Spreaders in Online Social Networks.

Feng Wang, Jinhua She, Yasuhiro Ohyama, Min Wu

Proceedings of the IECON 2019, 2019

Image Super-Resolution Reconstruction Based on Multi-scale Convolutional Neural Network.

Jianqiao Song, Feng Wang

Proceedings of the Genetic and Evolutionary Computing, 2019

2018

Maximizing positive influence spread in online social networks via fluid dynamics.

Feng Wang, Wenjun Jiang, Xiaolin Li, Guojun Wang

Future Gener. Comput. Syst., 2018

Low-Dimensional Vectors Learning for Influence Maximization.

Feng Wang, Wenjun Jiang, Guojun Wang

Proceedings of the 2018 IEEE SmartWorld, 2018

2017

Temporal Topic-Based Multi-Dimensional Social Influence Evaluation in Online Social Networks.

Feng Wang, Jianbin Li, Wenjun Jiang, Guojun Wang

Wirel. Pers. Commun., 2017

Exploring user topic influence for group recommendation on learning resources.

Feng Wang, Wenjun Jiang, Shuhong Chen, Dongqing Xie, Guojun Wang

Proceedings of the 2017 IEEE SmartWorld, 2017

Data-Driven Influence Learning in Social Networks.

Feng Wang, Wenjun Jiang, Guojun Wang, Dongqing Xie

Proceedings of the 2017 IEEE International Symposium on Parallel and Distributed Processing with Applications and 2017 IEEE International Conference on Ubiquitous Computing and Communications (ISPA/IUCC), 2017

2016

Maximizing the Spread of Positive Influence Under LT-MLA Model.

Feng Wang, Guojun Wang, Dongqing Xie

Proceedings of the Advances in Services Computing, 2016