师资队伍

王功明

电话:

E-mail:wanggm@bjut.edu.cn

通讯地址:

[01]Gongming Wang*, Hong Chen, Honggui Han, Jing Bi, Junfei Qiao, Erfan Babaee Tirkolaee. Predicting Water Quality with Non-Stationarity: Event-Triggered Deep Fuzzy Neural Network.IEEE Transactions on Fuzzy Systems, 2024, Early Access, pp: 1-10. doi: 10.1109/TFUZZ.2024.3354919.

[02]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 Transactions on Industrial Informatics, 2024, Early Access, pp: 1-8. doi: 10.1109/TII.2024.3354334.

[03]Gongming Wang*, Yidi Zhao, Caixia Liu, Junfei Qiao. Data-Driven Robust Adaptive Control with Deep Learning for Wastewater Treatment Process.IEEE Transactions on Industrial Informatics, 2024, 20(1): 149-157.

[04]Gongming Wang*, Jing Bi, Qing-Shan Jia, Junfei Qiao, Lei Wang. Event-Driven Model Predictive Control with Deep Learning for Wastewater Treatment Process.IEEE Transactions on Industrial Informatics, 2023, 19(5): 6398-6407.

[05]Gongming Wang*, Junfei Qiao. An Efficient Self-Organizing Deep Fuzzy Neural Network for Nonlinear System Modeling.IEEE Transactions on Fuzzy Systems, 2022, 30(7): 2170-2182.

[06]Gongming Wang*, Junfei Qiao, Caixia Liu, Zhaoxu Shen. How Deep is Deep Enough for Deep Belief Network for Approximating Model Predictive Control Law.IEEE Transactions on Automation Science and Engineering, 2022, 19(3): 2067-2078.

[07]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.Artificial Intelligence Review, 2022, 55(1): 565–587.

[08]Gongming Wang, Qing-Shan Jia, Junfei Qiao*, Jing Bi, MengChu Zhou. Deep Learning-Based Model Predictive Control for Continuous Stirred Tank Reactor System.IEEE Transactions on Neural Networks and Learning Systems, 2021, 32(8): 3643-3652.

[09]Gongming Wang, Junfei Qiao*, Jing Bi, Qing-Shan Jia, MengChu Zhou. An Adaptive Deep Belief Network with Sparse Restricted Boltzmann Machines.IEEE Transactions on Neural Networks and Learning Systems, 2020, 31(10): 4217-4228.

[10]Gongming Wang, Junfei Qiao, Jing Bi*, Wenjing Li, MengChu Zhou. TL-GDBN: Growing Deep Belief Network with Transfer Learning.IEEE Transactions on Automation Science and Engineering, 2019, 16(2): 874-885.

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