Hu Zhang

Orcid: 0000-0002-6894-0926

Affiliations:
  • Central South University, School of Mathematics and Statistics, Changsha, China
  • Changsha University, College of Computer Science and Engineering, China (former)
  • Central South University, School of Automation, Changsha, China (PhD 2022)


According to our database1, Hu Zhang authored at least 19 papers between 2019 and 2025.

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Bibliography

2025
Multihorizon KPI Forecasting in Complex Industrial Processes: An Adaptive Encoder-Decoder Framework With Partial Teacher Forcing.
IEEE Trans. Cybern., June, 2025

Feature-Ensemble Model With an Adaptive Self-Ensemble Module for Feed-Grade Monitoring in Froth Flotation.
IEEE Trans. Ind. Informatics, April, 2025

Reagent Addition Control for Zinc First Rougher With a Dual FP Tree-Based Feature Setpoint Generator and Knowledge Core-Based Reagent Fine Presetting.
IEEE Trans Autom. Sci. Eng., 2025

Upstream process condition monitoring for froth flotation based on feature performance evaluation and parameter-mapped GRNN.
Expert Syst. Appl., 2025

2024
Dual-Rule-Based Weighted Fuzzy Interpolative Reasoning Module and Temporal Encoder-Decoder Bayesian Network for Reagent Addition Control.
IEEE Trans. Fuzzy Syst., July, 2024

Measurement of Froth-Layer Depth With Binocular Camera Based on Intensity Correction and Its Application to Pulp-Grade Monitoring.
IEEE Trans. Instrum. Meas., 2024

A froth image segmentation method via generative adversarial networks with multi-scale self-attention mechanism.
Multim. Tools Appl., 2024

Pulp grade monitoring using binocular image through multi-scale feature cross-attention fusion network and saliency map constraint.
Adv. Eng. Informatics, 2024

Eglcr: Edge Structure Guidance and Scale Adaptive Attention for Iterative Stereo Matching.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

2023
ES-net: An Integration Model Based on Encoder-Decoder and Siamese Time Series Difference Network for Grade Monitoring of Zinc Tailings and Concentrate.
IEEE Trans. Ind. Electron., November, 2023

A Binocular Camera Calibration Method in Froth Flotation Based on Key Frame Sequences and Weighted Normalized Tilt Difference.
IEEE Trans. Circuits Syst. Video Technol., October, 2023

2022
Operating Condition Recognition in Zinc Flotation Using Statistic and Temporal Correlation Features.
IEEE Trans. Instrum. Meas., 2022

Siamese Time Series and Difference Networks for Performance Monitoring in the Froth Flotation Process.
IEEE Trans. Ind. Informatics, 2022

2021
Grouped Time Series Networks for Grade Monitoring of Zinc Tailings With Multisource Features.
IEEE Trans. Instrum. Meas., 2021

RPI-SURF: A Feature Descriptor for Bubble Velocity Measurement in Froth Flotation With Relative Position Information.
IEEE Trans. Instrum. Meas., 2021

LTGH: A Dynamic Texture Feature for Working Condition Recognition in the Froth Flotation.
IEEE Trans. Instrum. Meas., 2021

Feature Reconstruction-Regression Network: A Light-Weight Deep Neural Network for Performance Monitoring in the Froth Flotation.
IEEE Trans. Ind. Informatics, 2021

2020
A Similarity-Based Burst Bubble Recognition Using Weighted Normalized Cross Correlation and Chamfer Distance.
IEEE Trans. Ind. Informatics, 2020

2019
A New Flotation Froth Texture Feature Extraction Method Based on PCA.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019


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