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Ai, Mingxi
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1

Self-supervised dynamic and static feature representation l..:

Ai, Mingxi ; Xie, Yongfang ; Tang, Zhaohui...
Powder Technology.  442 (2024)  - p. 119866 , 2024
Link: https://doi.org/10.1016/..
 
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2

Gaussian-kernel weighted neighborhood preserving embedding ..:

Wang, Hancheng ; Li, Peng ; Ai, Mingxi...
Measurement Science and Technology.  35 (2024)  8 - p. 086207 , 2024
Link: https://doi.org/10.1088/..
 
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3

Semisupervised Contrastive Memory Network for Industrial Pr..:

Tang, Zhaohui ; Zhang, Jin ; Xie, Yongfang..
IEEE Transactions on Instrumentation and Measurement.  72 (2023)  - p. 1-10 , 2023
Link: https://doi.org/10.1109/..
 
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4

Generative adversarial network-based image-level optimal se..:

Zhang, Jin ; Tang, Zhaohui ; Xie, Yongfang..
Expert Systems with Applications.  197 (2022)  - p. 116790 , 2022
Link: https://doi.org/10.1016/..
 
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5

Disturbance-Encoding-Based Neural Hammerstein–Wiener Model ..:

Zhang, Jin ; Tang, Zhaohui ; Xie, Yongfang...
IEEE Transactions on Systems, Man, and Cybernetics: Systems.  52 (2022)  1 - p. 606-617 , 2022
Link: https://doi.org/10.1109/..
 
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6

Data-driven adaptive modeling method for industrial process..:

Zhang, Jin ; Tang, Zhaohui ; Xie, Yongfang...
ISA Transactions.  108 (2021)  - p. 305-316 , 2021
Link: https://doi.org/10.1016/..
 
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7

Deep learning feature-based setpoint generation and optimal..:

Ai, Mingxi ; Xie, Yongfang ; Tang, Zhaohui..
Information Sciences.  578 (2021)  - p. 644-658 , 2021
Link: https://doi.org/10.1016/..
 
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8

Fuzzy association rule-based set-point adaptive optimizatio..:

Ai, Mingxi ; Xie, Yongfang ; Xie, Shiwen..
Neural Computing and Applications.  32 (2020)  17 - p. 14019-14029 , 2020
Link: https://doi.org/10.1007/..
 
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9

Convolutional memory network-based flotation performance mo..:

Zhang, Jin ; Tang, Zhaohui ; Xie, Yongfang..
Minerals Engineering.  151 (2020)  - p. 106332 , 2020
Link: https://doi.org/10.1016/..
 
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10

Timed key-value memory network for flotation reagent contro:

Zhang, Jin ; Tang, Zhaohui ; Xie, Yongfang...
Control Engineering Practice.  98 (2020)  - p. 104360 , 2020
Link: https://doi.org/10.1016/..
 
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11

Flotation Fault Diagnosis Method Using Statistical Approach..:

, In: 2019 Seventh International Conference on Advanced Cloud and Big Data (CBD),
Zhang, Jin ; Tang, Zhaohui ; Xie, Yongfang.. - p. 266-271 , 2019
Link: https://doi.org/10.1109/..
 
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12

Data-driven-based adaptive fuzzy neural network control for..:

Ai, Mingxi ; Xie, Yongfang ; Xie, Shiwen..
Journal of the Franklin Institute.  356 (2019)  12 - p. 5944-5960 , 2019
Link: https://doi.org/10.1016/..
 
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13

Shape-weighted bubble size distribution based reagent predi..:

Ai, Mingxi ; Xie, Yongfang ; Xie, Shiwen.
Chemometrics and Intelligent Laboratory Systems.  192 (2019)  - p. 103821 , 2019
Link: https://doi.org/10.1016/..
 
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14

Nonlinear modeling of the relationship between reagent dosa..:

Zhang, Jin ; Tang, Zhaohui ; Ai, Mingxi.
Minerals Engineering.  120 (2018)  - p. 19-28 , 2018
Link: https://doi.org/10.1016/..
 
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15

Data‐driven flotation reagent changing evaluation via union..:

Ai, Mingxi ; Xie, Yongfang ; Xu, Degang..
The Canadian Journal of Chemical Engineering.  96 (2018)  12 - p. 2616-2626 , 2018
Link: https://doi.org/10.1002/..
 
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