中南大学王晓丽

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教授博士生导师硕士生导师
入职时间：2008-08-29
所在单位：自动化学院
职务：自动化科学与技术系副主任
学历：博士研究生毕业
办公地点：校本部升华后楼2楼
性别：女
联系方式：xlwang@csu.edu.cn
学位：博士学位
在职信息：在职
毕业院校：中南大学
学科：控制科学与工程

论文成果

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[1]PAST: Prompt-Embedded Adaptive Sparse Transformer for Flotation Froth Image Restoration under Mixed Degradations.Minerals Engineering, 2026
[2]Symmetry-Aware Continual Learning for Dynamic Dimensional Multivariate Time Series Forecasting: Integrating Redundancy Clustering and Multi-LoRA Adapters.Symmetry, 2026
[3]Cross-Modal Interaction Fusion-Based Uncertainty-Aware Prediction Method for Industrial Froth Flotation Concentrate Grade by Using a Hybrid SKNet-ViT Framework.Sensors, 2026
[4]Continuous Extraction of Optimization-Oriented Control Knowledge for Grinding-Classification Circuits via PCA-Based Working-Condition Representations and Transformer-Based Reasoning Models.Minerals Engineering, 2026
[5]Huaiwen Zou, 王晓丽, Qingfei Xiao, Jiayi Zhou, Yifan Wang, Stephen Pooley.A novel method using DEM-FEM and wavelet-based energy analysis for tumbling mill shell vibration signal generation and load feature extraction.Powder Technology, 2026, 473
[6]A novel method using DEM-FEM and wavelet-based energy analysis for tumbling mill shell vibration signal generation and load feature extraction.Powder Technology, 2026
[7]磨矿分级过程控制知识在线提取与更新策略.控制理论与应用, 2026, 42 (2) : 217-225.
[8]Lu Fanlei, 王晓丽, 桂卫华, Wang Yulong.Cross-Modal Interaction Fusion-Based Uncertainty-Aware Prediction Method for Industrial Froth Flotation Concentrate Grade by Using a Hybrid SKNet-ViT Framework.Sensors, 2026, 26 (1)
[9]Liyang Qin, 王晓丽, Huaiwen Zou, 阳春华.Continuous Extraction of Optimization-Oriented Control Knowledge for Grinding-Classification Circuits via PCA-Based Working-Condition Representations and Transformer-Based Reasoning Models.Minerals Engineering, 2026
[10]Qin Liyang, 王晓丽, Wang Yulong.Symmetry-Aware Continual Learning for Dynamic Dimensional Multivariate Time Series Forecasting: Integrating Redundancy Clustering and Multi-LoRA Adapters.Symmetry, 2026, 18 (2)
[11]Jiayi Zhou, Yinan Zhang, Yishuai E, 王晓丽, 桂卫华.PAST: Prompt-Embedded Adaptive Sparse Transformer for Flotation Froth Image Restoration under Mixed Degradations.Minerals Engineering, 2026, 249
[12]Wang Yulong, Wang Xiaoli, Tang Xu, Lu Fanlei, Zhou Jiayi.A novel process dynamic guided fusion loss for soft sensor modeling in complex industrial processes.Expert Systems with Applications, 2026, 310
[13]Rongjun Li, 王晓丽, Huaiwen Zou, Jiayi Zhou, Zhongmei Li.Mill vibration signal-based milling condition recognition using transformer with time-frequency decoupled attention.IFAC-PapersOnLine, 2025, 59 (32) : 36-41.
[14]王晓丽, Yulong Wang, Fanlei Lu, Jiayi Zhou, Liyang Qin, 阳春华.Adaptive wavelet normalization network for soft sensor modeling in nonstationary industrial processes.IEEE Transactions on Industrial Informatics, 2025, 21 (12) : 9846-9856.
[15]Feng Yanxi, 王晓丽, Zou Huaiwen.A Composite Power Prediction Model for Semi-autogenous Grinding Mill Based on Mechanistic Approach and XGBoost, 2025
[16]Xiaoli Wang, Shanglin Zhu, Liyang Qin, Jie Han, Yulong Wang, Feng Yan.TD-IVDM: A multi-scale concept drift detection method for time series forecasting tasks.Neurocomputing, 2025, 653: 131120.
[17]Xiaoli Wang, Yinan Zhang, Lingshuang Kong, Jiayi Zhou, Chunhua Yang.Illumination Consistency Processing Based on Illumination Domain Signal-Guided Unsupervised Generative Adversarial Network for Flotation Froth Images.IEEE Transactions on Instrumentation and Measurement, 2024, 74: 1-16.
[18]Yulong Wang, Xiaoli Wang, Jiayi Zhou, Chunhua Yang, Yang Yang.Long Sequence Multivariate Time-Series Forecasting for Industrial Processes Using SASGNN.IEEE Transactions on Industrial Informatics, 2024, 20 (10) : 12407 - 12417.
[19]Fanlei Lu, Xiaoli Wang, Weihua Gui, Liyang Qin, Jiayi Zhou.A novel semi-supervised prediction modeling method based on deep learning for flotation process with large drift of working conditions.Advanced Engineering Informatics, 2024, 62: 102934.
[20]Yang Yang, 王晓丽, 桂卫华, 阳春华, Honglei Xu.An adaptive fuzzy logic control method for froth velocity in the flotation process, 2024

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