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Qingqiang Sun
Qingqiang Sun
PhD Candidate, CSE, University of New South Wales
在 unsw.edu.au 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
A survey on deep learning for data-driven soft sensors
Q Sun, Z Ge
IEEE Transactions on Industrial Informatics 17 (9), 5853-5866, 2021
3162021
Deep learning for industrial KPI prediction: When ensemble learning meets semi-supervised data
Q Sun, Z Ge
IEEE Transactions on Industrial Informatics 17 (1), 260-269, 2021
1042021
Probabilistic sequential network for deep learning of complex process data and soft sensor application
Q Sun, Z Ge
IEEE Transactions on Industrial Informatics 15 (5), 2700-2709, 2019
972019
Gated stacked target-related autoencoder: A novel deep feature extraction and layerwise ensemble method for industrial soft sensor application
Q Sun, Z Ge
IEEE Transactions on Cybernetics 52 (5), 3457-3468, 2022
762022
Experimental investigation of piezoelectricity of near field electrospun PVDF nanofibers
S Ma, Q Sun, Y Su, R Chen, L Wang
measurement 900, 1, 2016
72016
Deep learning of complex process data for fault classification based on sparse probabilistic dynamic network
J Zheng, C Wu, Q Sun, Z Song, L Zhou
Journal of the Taiwan Institute of Chemical Engineers 138, 104498, 2022
42022
Towards higher-order topological consistency for unsupervised network alignment
Q Sun, X Lin, Y Zhang, W Zhang, C Chen
2023 IEEE 39th International Conference on Data Engineering (ICDE), 177-190, 2023
22023
Manifold-constrained trace ratio optimization for nonstationary process performance monitoring
K Wang, Z Cao, D Wang, Q Sun*, X Yuan, Y Wang, C Liu
Journal of Process Control 129, 103058, 2023
12023
Progressive Hard Negative Masking: From Global Uniformity to Local Tolerance
Q Sun, W Zhang, X Lin
IEEE Transactions on Knowledge and Data Engineering, 2023
12023
A novel network for semantic segmentation of landslide areas in remote sensing images with multi-branch and multi-scale fusion
K Wang, D He, Q Sun*, L Yi, X Yuan, Y Wang
Applied Soft Computing, 111542, 2024
2024
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