Gongming Wang

According to our database, Gongming Wang authored at least 32 papers between 2009 and 2024.

Collaborative distances:

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

2024

Complexity-Based Structural Optimization of Deep Belief Network and Application in Wastewater Treatment Process.

Gongming Wang, Guanghui Yuan, Zhiqiang Hu, Yuanying Chi, Qing-Shan Jia, Junfei Qiao

IEEE Trans. Ind. Informatics, April, 2024

Data-Driven Robust Adaptive Control With Deep Learning for Wastewater Treatment Process.

Gongming Wang, Yidi Zhao, Caixia Liu, Junfei Qiao

IEEE Trans. Ind. Informatics, January, 2024

2023

Event-Driven Model Predictive Control With Deep Learning for Wastewater Treatment Process.

Gongming Wang, Jing Bi, Qing-Shan Jia, Junfei Qiao, Lei Wang

IEEE Trans. Ind. Informatics, May, 2023

SimCH: simulation of single-cell RNA sequencing data by modeling cellular heterogeneity at gene expression level.

Lei Sun, Gongming Wang, Zhihua Zhang

Briefings Bioinform., January, 2023

2022

An Efficient Self-Organizing Deep Fuzzy Neural Network for Nonlinear System Modeling.

Gongming Wang, Junfei Qiao

IEEE Trans. Fuzzy Syst., 2022

How Deep Is Deep Enough for Deep Belief Network for Approximating Model Predictive Control Law.

Gongming Wang, Junfei Qiao, Caixia Liu, Zhaoxu Shen

IEEE Trans Autom. Sci. Eng., 2022

CrisprVi: a software for visualizing and analyzing CRISPR sequences of prokaryotes.

Lei Sun, Jinbiao Wang, Fu Yan, Gongming Wang, Yun Li, Jinlin Huang

BMC Bioinform., 2022

Artificial neural networks for water quality soft-sensing in wastewater treatment: a review.

Gongming Wang, Qing-Shan Jia, MengChu Zhou, Jing Bi, Junfei Qiao, Abdullah Abusorrah

Artif. Intell. Rev., 2022

2021

Efficient Real-Time EV Charging Scheduling via Ordinal Optimization.

Teng Long, Qing-Shan Jia, Gongming Wang, Yu Yang

IEEE Trans. Smart Grid, 2021

Deep Learning-Based Model Predictive Control for Continuous Stirred-Tank Reactor System.

Gongming Wang, Qing-Shan Jia, Junfei Qiao, Jing Bi, MengChu Zhou

IEEE Trans. Neural Networks Learn. Syst., 2021

PM2.5 concentration modeling and prediction by using temperature-based deep belief network.

Haixia Xing, Gongming Wang, Caixia Liu, Minghe Suo

Neural Networks, 2021

An effective integrated control with intelligent optimization for wastewater treatment process.

Fei Li, Zhong Su, Gongming Wang

J. Ind. Inf. Integr., 2021

Soft-sensing of Wastewater Treatment Process via Deep Belief Network with Event-triggered Learning.

Gongming Wang, Qing-Shan Jia, MengChu Zhou, Jing Bi, Junfei Qiao

Neurocomputing, 2021

An effective deep recurrent network with high-order statistic information for fault monitoring in wastewater treatment process.

Chang Peng, Zeyu Li, Gongming Wang, Wang Pu

Expert Syst. Appl., 2021

A new object detection method for object deviating from center or multi object crowding.

Yubo Liang, Gongming Wang, Wenfa Li, Yuzhe He, Xiaoming Liang

Displays, 2021

2020

An Adaptive Deep Belief Network With Sparse Restricted Boltzmann Machines.

Gongming Wang, Junfei Qiao, Jing Bi, Qing-Shan Jia, MengChu Zhou

IEEE Trans. Neural Networks Learn. Syst., 2020

A sparse deep belief network with efficient fuzzy learning framework.

Gongming Wang, Qing-Shan Jia, Junfei Qiao, Jing Bi, Caixia Liu

Neural Networks, 2020

2019

TL-GDBN: Growing Deep Belief Network With Transfer Learning.

Gongming Wang, Junfei Qiao, Jing Bi, Wenjing Li, MengChu Zhou

IEEE Trans Autom. Sci. Eng., 2019

Stance Detection of Microblog Text Based on Two-Channel CNN-GRU Fusion Network.

Wenfa Li, Yilong Xu, Gongming Wang

IEEE Access, 2019

An Efficient Deep Belief Network with Fuzzy Learning for Nonlinear System Modeling.

Gongming Wang, Junfei Qiao, Jing Bi, Mengchu Zhou

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

2018

A deep belief network with PLSR for nonlinear system modeling.

Junfei Qiao, Gongming Wang, Wenjing Li, Xiaoli Li

Neural Networks, 2018

An adaptive deep Q-learning strategy for handwritten digit recognition.

Junfei Qiao, Gongming Wang, Wenjing Li, Min Chen

Neural Networks, 2018

A self-organizing deep belief network for nonlinear system modeling.

Junfei Qiao, Gongming Wang, Xiaoli Li, Wenjing Li

Appl. Soft Comput., 2018

A Clustering Algorithm of High-Dimensional Data Based on Sequential Psim Matrix and Differential Truncation.

Gongming Wang, Wenfa Li, Weizhi Xu

Proceedings of the Algorithms and Architectures for Parallel Processing, 2018

2017

Clustering algorithm for audio signals based on the sequential Psim matrix and Tabu Search.

Wenfa Li, Gongming Wang, Ke Li

EURASIP J. Audio Speech Music. Process., 2017

2013

A fast calculation strategy of density function in ISAF reconstruction algorithm.

Gongming Wang, Fa Zhang, Qi Chu, Liya Fan, Fei Sun, Zhiyong Liu

Sci. China Inf. Sci., 2013

2012

An effective approximation algorithm for the Malleable Parallel Task Scheduling problem.

Liya Fan, Fa Zhang, Gongming Wang, Zhiyong Liu

J. Parallel Distributed Comput., 2012

An Accelerated ISAF Algorithm with the Fast Mapping Strategy.

Gongming Wang, Fa Zhang, Fei Sun, Zhiyong Liu

J. Comput., 2012

2011

A fast mapping method in the ISAF reconstruction algorithm.

Gongming Wang, Fa Zhang, Qi Chu, Fei Sun, Zhiyong Liu

Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2009

A Self-adaptive Greedy Scheduling Scheme for a Multi-Objective Optimization on Identical Parallel Machines.

Liya Fan, Fa Zhang, Gongming Wang, Bo Yuan, Zhiyong Liu

Proceedings of the Software Engineering, 2009

A framework to refine particle clusters produced by EMAN.

Liya Fan, Fa Zhang, Gongming Wang, Zhiyong Liu

Bioinform., 2009

An effective scheduling algorithm for Linear Makespan Minimization on Unrelated Parallel Machines.

Liya Fan, Fa Zhang, Gongming Wang, Zhiyong Liu

Proceedings of the 16th International Conference on High Performance Computing, 2009