中文

Journal Publications

[21]Jinping Liu, Zhaohui Tang.Frame-Dilated Convolutional Fusion Network and GRU-Based Self-Attention Dual-Channel Network for Soft-Sensor Modeling of Industrial Process Quality Indexes[J].IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS: SYSTEMS, 2022, 52 (9) : 5989-6002.
[22]ZHANG Jin, TANG Zhaohui, Disturbance-Encoding-Based Neural Hammerstein–Wiener Model for Industrial Process Predictive Control[J].IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2022, 52 (1) : 606-617.
[23]HU Zhang, Zhaohui Tang.Siamese time series and difference networks for performance monitoring in the froth flotation process[J].IEEE Transactions on Industrial Informatics, 2022, 18 (4) : 2539-2549.
[24]ZHANG Jin, TANG Zhaohui, Generative adversarial network-based image-level optimal setpoint calculation for flotation reagents control[J].Expert Systems with Applications, 2022, 197
[25]PENG Chen, TANG Zhaohui, Bubble Image Segmentation Based on a Novel Watershed Algorithm With an Optimized Mark and Edge Constraint[J].IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2022, 71
[26]XIAO Wenhui, TANG Zhaohui.FS-DeblurGAN: a spatiotemporal deblurring method for zinc froth flotation[J]. 法国.THE EUROPEAN PHYSICAL JOURNAL SPECIAL TOPICS, 2022
[27]TIAN Can, TANG Zhaohui.Operating condition recognition based on temporal cumulative distribution function and AdaBoost-extreme learning machine in zinc flotation process[J].Powder Technology, 2022, 395: 545-555.
[28]LI Yaoguo, TANG Zhaohui, Feedforward Compensation of Railway Static Power Conditioners in a V/v Traction Power Supply System[J].electronics, 2021, 10 (656)
[29]PENG Chen, TANG Zhaohui, A bidirectional weighted boundary distance algorithm for time series similarity computation based on optimized sliding window size[J]. 美国.Journal of Industrial and Management Optimization, 2021, 17 (1) : 205-220.
[30]Hu Zhang, Zhaohui Tang.Grade prediction of zinc tailings using an encoder-decoder model in froth flotation[J].Minerals Engineering, 2021, 172
[31]ZHANG Guoyong, TANG Zhaohui.Steel Wire Rope Surface Defect Detection Based on Segmentation Template and Spatiotemporal Gray Sample Set[J].SENSORS, 2021, 21 (5401)
[32]Xiaoliang Gao, Zhaohui Tang.A layered working condition perception integrating handcrafted with deep features[J].Minerals Engineering, 2021, 170
[33]Hu Zhang, Zhaohui Tang.Grouped Time Series Networks for Grade Monitoring of Zinc Tailings With Multisource Features[J].IEEE Transactions on Instrumentation and Measurement, 2021, 70
[34]Hu Zhang, Zhaohui Tang.RPI-SURF: A Feature Descriptor for Bubble Velocity Measurement in Froth Flotation With Relative Position Information[J].IEEE Transactions on Instrumentation and Measurement, 2021, 70
[35]Jin Luo, Zhaohui Tang.LTGH: A Dynamic Texture Feature for Working Condition Recognition in the Froth Flotation[J].IEEE Transactions on Instrumentation and Measurement, 2021, 70
[36]PENG Chen, TANG Zhaohui, A Remaining Useful Life Prognosis of Turbofan Engine Using Temporal and Spatial Feature Fusion[J].sensors, 2021, 21 (418)
[37]Hu Zhang, Zhaohui Tang.Long short-term memory-based grade monitoring in froth flotation using a froth video sequence[J].Minerals Engineering, 2021, 160
[38]Hu Zhang, Zhaohui Tang.Feature Reconstruction-Regression Network: A Light-Weight Deep Neural Network for Performance Monitoring in the Froth Flotation[J].IEEE Transactions on Industrial Informatics, 2020, 17 (12) : 8406-8417.
[39]Tang.Zhaohui.A Similarity-Based Burst Bubble Recognition Using Weighted Normalized Cross Correlation and Chamfer Distance[J].IEEE Transactions on Industrial Informatics, 2020, 16 (6) : 4077-4089.
[40]Tang Zhaohui, Convolutional memory network-based flotation performance monitoring[J].Minerals Engineering, 2020, 151: 106332.

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