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ORCIDGongming Wang
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j30]Gongming Wang
, Hong Chen, Honggui Han, Jing Bi, Junfei Qiao, Erfan Babaee Tirkolaee:
Predicting Water Quality With Nonstationarity: Event-Triggered Deep Fuzzy Neural Network. IEEE Trans. Fuzzy Syst. 32(5): 2690-2699 (2024)- [j29]Gongming Wang, Yidi Zhao, Caixia Liu, Junfei Qiao:
Data-Driven Robust Adaptive Control With Deep Learning for Wastewater Treatment Process. IEEE Trans. Ind. Informatics 20(1): 149-157 (2024) - [j28]Gongming Wang, Guanghui Yuan, Zhiqiang Hu, Yuanying Chi, Qing-Shan Jia, Junfei Qiao:
Complexity-Based Structural Optimization of Deep Belief Network and Application in Wastewater Treatment Process. IEEE Trans. Ind. Informatics 20(4): 6974-6982 (2024) - [j27]Guangyuan Pan, Gongming Wang, Hao Wei, Qili Chen, Ancai Zhang:
Development of an Automated Global Crash Prediction Model With Adaptive Feature Selection of Deep Neural Networks. IEEE Trans. Ind. Informatics 20(10): 12010-12020 (2024) - [j26]Gongming Wang, Hong Chen, Suling Jiang, Honggui Han, Junfei Qiao:
Neurodynamics-Driven Prediction Model for State Evolution of Coastal Water Quality. IEEE Trans. Instrum. Meas. 73: 1-9 (2024) - 2023
- [j25]Lei Sun, Gongming Wang, Zhihua Zhang:
SimCH: simulation of single-cell RNA sequencing data by modeling cellular heterogeneity at gene expression level. Briefings Bioinform. 24(1) (2023) - [j24]Gongming Wang, Jing Bi, Qing-Shan Jia, Junfei Qiao, Lei Wang:
Event-Driven Model Predictive Control With Deep Learning for Wastewater Treatment Process. IEEE Trans. Ind. Informatics 19(5): 6398-6407 (2023) - 2022
- [j23]Gongming Wang, Qing-Shan Jia, MengChu Zhou, Jing Bi, Junfei Qiao, Abdullah Abusorrah:
Artificial neural networks for water quality soft-sensing in wastewater treatment: a review. Artif. Intell. Rev. 55(1): 565-587 (2022) - [j22]Lei Sun, Jinbiao Wang, Fu Yan, Gongming Wang, Yun Li, Jinlin Huang:
CrisprVi: a software for visualizing and analyzing CRISPR sequences of prokaryotes. BMC Bioinform. 23-S(3): 172 (2022) - [j21]Gongming Wang, Junfei Qiao, Caixia Liu, Zhaoxu Shen:
How Deep Is Deep Enough for Deep Belief Network for Approximating Model Predictive Control Law. IEEE Trans Autom. Sci. Eng. 19(3): 2067-2078 (2022) - [j20]Gongming Wang, Junfei Qiao:
An Efficient Self-Organizing Deep Fuzzy Neural Network for Nonlinear System Modeling. IEEE Trans. Fuzzy Syst. 30(7): 2170-2182 (2022) - 2021
- [j19]Yubo Liang, Gongming Wang, Wenfa Li, Yuzhe He, Xiaoming Liang:
A new object detection method for object deviating from center or multi object crowding. Displays 69: 102042 (2021) - [j18]Chang Peng, Zeyu Li, Gongming Wang, Wang Pu:
An effective deep recurrent network with high-order statistic information for fault monitoring in wastewater treatment process. Expert Syst. Appl. 167: 114141 (2021) - [j17]Gongming Wang, Qing-Shan Jia, MengChu Zhou, Jing Bi, Junfei Qiao:
Soft-sensing of Wastewater Treatment Process via Deep Belief Network with Event-triggered Learning. Neurocomputing 436: 103-113 (2021) - [j16]Fei Li, Zhong Su, Gongming Wang:
An effective integrated control with intelligent optimization for wastewater treatment process. J. Ind. Inf. Integr. 24: 100237 (2021) - [j15]Haixia Xing, Gongming Wang, Caixia Liu, Minghe Suo:
PM2.5 concentration modeling and prediction by using temperature-based deep belief network. Neural Networks 133: 157-165 (2021) - [j14]Gongming Wang, Qing-Shan Jia, Junfei Qiao, Jing Bi, MengChu Zhou:
Deep Learning-Based Model Predictive Control for Continuous Stirred-Tank Reactor System. IEEE Trans. Neural Networks Learn. Syst. 32(8): 3643-3652 (2021) - [j13]Teng Long, Qing-Shan Jia, Gongming Wang, Yu Yang:
Efficient Real-Time EV Charging Scheduling via Ordinal Optimization. IEEE Trans. Smart Grid 12(5): 4029-4038 (2021) - 2020
- [j12]Gongming Wang, Qing-Shan Jia, Junfei Qiao, Jing Bi, Caixia Liu:
A sparse deep belief network with efficient fuzzy learning framework. Neural Networks 121: 430-440 (2020) - [j11]Gongming Wang, Junfei Qiao, Jing Bi, Qing-Shan Jia, MengChu Zhou:
An Adaptive Deep Belief Network With Sparse Restricted Boltzmann Machines. IEEE Trans. Neural Networks Learn. Syst. 31(10): 4217-4228 (2020)
2010 – 2019
- 2019
- [j10]Wenfa Li, Yilong Xu, Gongming Wang:
Stance Detection of Microblog Text Based on Two-Channel CNN-GRU Fusion Network. IEEE Access 7: 145944-145952 (2019) - [j9]Gongming Wang, Junfei Qiao, Jing Bi, Wenjing Li, MengChu Zhou:
TL-GDBN: Growing Deep Belief Network With Transfer Learning. IEEE Trans Autom. Sci. Eng. 16(2): 874-885 (2019) - [c4]Gongming Wang, Junfei Qiao, Jing Bi, Mengchu Zhou:
An Efficient Deep Belief Network with Fuzzy Learning for Nonlinear System Modeling. SMC 2019: 3549-3554 - 2018
- [j8]Junfei Qiao, Gongming Wang, Xiaoli Li, Wenjing Li:
A self-organizing deep belief network for nonlinear system modeling. Appl. Soft Comput. 65: 170-183 (2018) - [j7]Junfei Qiao, Gongming Wang, Wenjing Li, Xiaoli Li:
A deep belief network with PLSR for nonlinear system modeling. Neural Networks 104: 68-79 (2018) - [j6]Junfei Qiao, Gongming Wang, Wenjing Li, Min Chen:
An adaptive deep Q-learning strategy for handwritten digit recognition. Neural Networks 107: 61-71 (2018) - [c3]Gongming Wang, Wenfa Li, Weizhi Xu:
A Clustering Algorithm of High-Dimensional Data Based on Sequential Psim Matrix and Differential Truncation. ICA3PP (2) 2018: 297-307 - 2017
- [j5]Wenfa Li, Gongming Wang, Ke Li:
Clustering algorithm for audio signals based on the sequential Psim matrix and Tabu Search. EURASIP J. Audio Speech Music. Process. 2017: 26 (2017) - 2013
- [j4]Gongming Wang, Fa Zhang, Qi Chu, Liya Fan, Fei Sun, Zhiyong Liu:
A fast calculation strategy of density function in ISAF reconstruction algorithm. Sci. China Inf. Sci. 56(9): 1-12 (2013) - 2012
- [j3]Gongming Wang, Fa Zhang, Fei Sun, Zhiyong Liu:
An Accelerated ISAF Algorithm with the Fast Mapping Strategy. J. Comput. 7(2): 528-533 (2012) - [j2]Liya Fan, Fa Zhang, Gongming Wang, Zhiyong Liu:
An effective approximation algorithm for the Malleable Parallel Task Scheduling problem. J. Parallel Distributed Comput. 72(5): 693-704 (2012) - 2011
- [c2]Gongming Wang, Fa Zhang, Qi Chu, Fei Sun, Zhiyong Liu:
A fast mapping method in the ISAF reconstruction algorithm. EMBC 2011: 3930-3933
2000 – 2009
- 2009
- [j1]Liya Fan, Fa Zhang, Gongming Wang, Zhiyong Liu:
A framework to refine particle clusters produced by EMAN. Bioinform. 25(12) (2009) - [c1]Liya Fan, Fa Zhang, Gongming Wang, Zhiyong Liu:
An effective scheduling algorithm for Linear Makespan Minimization on Unrelated Parallel Machines. HiPC 2009: 40-49 - [p1]Liya Fan, Fa Zhang, Gongming Wang, Bo Yuan, Zhiyong Liu:
A Self-adaptive Greedy Scheduling Scheme for a Multi-Objective Optimization on Identical Parallel Machines. Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing 2009: 43-55
Coauthor Index
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