Maximizing the Spread of Positive Influence Under LT-MLA Model. - Feng Wang 051; Guojun Wang 001; Dongqing Xie (APSCC, 2016)

Data-Driven Influence Learning in Social Networks. - Feng Wang 051; Wenjun Jiang; Guojun Wang 001; Dongqing Xie (ISPA/IUCC, 2017)

Exploring user topic influence for group recommendation on learning resources. - Feng Wang 051; Wenjun Jiang; Shuhong Chen; Dongqing Xie; Guojun Wang 001 (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2017)

Temporal Topic-Based Multi-Dimensional Social Influence Evaluation in Online Social Networks. - Feng Wang 051; Jianbin Li; Wenjun Jiang; Guojun Wang 001 (Wirel. Pers. Commun., 2017)

Low-Dimensional Vectors Learning for Influence Maximization. - Feng Wang 051; Wenjun Jiang; Guojun Wang 001 (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2018)

Maximizing positive influence spread in online social networks via fluid dynamics. - Feng Wang 051; Wenjun Jiang; Xiaolin Li 001; Guojun Wang 001 (Future Gener. Comput. Syst., 2018)

Image Super-Resolution Reconstruction Based on Multi-scale Convolutional Neural Network. - Jianqiao Song; Feng Wang 051 (ICGEC, 2019)

Deep-Learning-based Identification of Influential Spreaders in Online Social Networks. - Feng Wang 051; Jinhua She; Yasuhiro Ohyama; Min Wu 002 (IECON, 2019)

Influence maximization by leveraging the crowdsensing data in information diffusion network. - Feng Wang 051; Wenjun Jiang; Guojun Wang 001; Song Guo 001 (J. Netw. Comput. Appl., 2019)

Fluidspread: A New Method of Maximizing Positive Influence in Online Social Networks via Fluid Dynamics. - Feng Wang 051; Jinhua She; Yasuhiro Ohyama; Min Wu 002 (ICCA, 2020)

Maximizing positive influence in competitive social networks: A trust-based solution. - Feng Wang 051; Jinhua She; Yasuhiro Ohyama; Wenjun Jiang; Geyong Min; Guojun Wang 001; Min Wu 002 (Inf. Sci., 2021)

Denoising Method for Surface Electromyography Signals Combining CEEMDAN and Interval Total Variation. - Xiaofeng Zong; Feng Wang 051; Jinhua She; Juan Zhao (Circuits Syst. Signal Process., 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 001; Wangyong He; Feng Wang 051; Juan Zhao; Yasuhiro Ohyama (J. Adv. Comput. Intell. Intell. Informatics, 2022)

Extreme Gradient Boosting for Surface Electromyography Classification on Time-Domain Features. - Juan Zhao; Jinhua She; Dianhong Wang; Feng Wang 051 (J. Adv. Comput. Intell. Intell. Informatics, 2022)

Interpretable analysis of feature importance and implicit correlation based on sEMG grayscale. images. - Xiaohu Ao; Feng Wang 051; Juan Zhao; Jinhua She (ICPS, 2023)

Effective Throughput Optimization of SAG Milling Process Based on BPNN and Genetic Algorithm. - Zhenhong Liao; Ce Xu; Wen Chen; Qifu Chen; Feng Wang 051; Jinhua She (ICPS, 2023)

A Model-Predictive-Enabled Equivalent-Input-Disturbance Approach for Disturbance Rejection. - Yujian Zhou; Jinhua She; Feng Wang 051; Makoto Iwasaki (ICPS, 2023)

Disturbance Rejection for Pedaling Rehabilitation Robot Based on Integration of Equivalent-Input-Disturbance and Repetitive Control Methods. - Yujian Zhou; Jinhua She; Feng Wang 051; Makoto Iwasaki (ISIE, 2023)

Dual-Task Network Embeddings for Influence Prediction in Social Internet of Things. - Feng Wang 051; Jinhua She; Guojun Wang 001; Yasuhiro Ohyama; Min Wu 002 (IEEE Internet Things J., 2023)

Disturbance Rejection and Control System Design Based on an Improved Equivalent-Input-Disturbance Approach. - Qicheng Mei; Jinhua She; Feng Wang 051; Yosuke Nakanishi (IEEE Trans. Ind. Electron., 2023)

Disturbance Rejection and Control System Design Using $ lbrace 1 brace$-Inverse-Based Equivalent-Input-Disturbance Approach. - Qicheng Mei; Jinhua She; Feng Wang 051; Yosuke Nakanishi; Hiroshi Hashimoto; Daisuke Chugo (IEEE Trans. Ind. Electron., 2023)

Rehabilitation Evaluation System for Lower-Limb Rehabilitation Robot. - Li Jiang; Juan Zhao; Feng Wang 051; Yujian Zhou; Wangyang Ge; Jinhua She (J. Adv. Comput. Intell. Intell. Informatics, 2023)

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 051; Juan Zhao; Seiichi Kawata (ICE/ITMC, 2024)

Improved BP Neural Network Utilizing Bayesian optimization Algorithm for Iron-making Process Control. - Shaoran Wang; Jinhua She; Seiichi Kawata; Feng Wang 051; Juan Zhao; Qifu Chen; Zhenhong Liao (ISIE, 2024)

Disturbance Rejection in Lower-Limb Rehabilitation Robot with Parameter Uncertainties. - He Wang; Jinhua She; Feng Wang 051; Juan Zhao; Seiichi Kawata (IWIS, 2024)

Modeling the Kinematics and Dynamics of the Pedaling Lower-Limb Rehabilitation Robot. - Hao Zhang; Juan Zhao; Feng Wang 051; Seiichi Kawata; Jinhua She (IWIS, 2024)

Physical, mechanical characterization, and artificial neural network modeling of biodegradable composite scaffold for biomedical applications. - Feng Wang 051; D. T. Semirumi; Anqing He; Zhenghui Pan; A. Alizadeh (Eng. Appl. Artif. Intell., 2024)

Explainable deep learning for sEMG-based similar gesture recognition: A Shapley-value-based solution. - Feng Wang 051; Xiaohu Ao; Min Wu 002; Seiichi Kawata; Jinhua She (Inf. Sci., 2024)

Disturbance Rejection for Nonlinear Systems Using Nonlinear-State-Observer-Based Equivalent-Input-Disturbance Approach. - Hantao Wang; Jinhua She; Feng Wang 051 (IEEE Trans. Ind. Informatics, 2024)