Weipeng Lu

发表

On measures of dissimilarity between point patterns: Classification based on prototypes and multidimensional scaling

Jonatan A. González, F. Schoenberg, J. Mateu, 2015, Biometrical journal. Biometrische Zeitschrift.

On distances between point patterns and their applications

Weipeng Lu, 2013 .

On measures of dissimilarity between point patterns and their applications ∗

Jonatan A. González, F. Schoenberg, J. Mateu, 2013 .

Process monitoring of nonlinear uncertain systems based on Part Interval Stacked Autoencoder and Support Vector Data Description

Xue-feng Yan, Weipeng Lu, Qiqi Wu, 2022, Appl. Soft Comput..

Remote Sensing Image Scene Classification With Self-Supervised Paradigm Under Limited Labeled Samples pdf

Haifeng Li, Hao Wang, Chao Tao, 2020, IEEE Geoscience and Remote Sensing Letters.

Dual Attention Bidirectional Generative Adversarial Network for Dynamic Uncertainty Process Monitoring and Diagnosis

Xue-feng Yan, Weipeng Lu, Xujia Tang, 2023, Chemical engineering research & design.

Variable-weighted FDA combined with t-SNE and multiple extreme learning machines for visual industrial process monitoring.

Xue-feng Yan, Weipeng Lu, 2021, ISA transactions.

Region-tree Based Sorted List Indexing for Real-time Entity Resolution in n-Dimensional Data Space

Qin Ma, Weiyi Meng, Liang Zhu, 2018, IOP Conference Series: Materials Science and Engineering.

Balanced multiple weighted linear discriminant analysis and its application to visual process monitoring

Xuefeng Yan, Weipeng Lu, Xue-feng Yan, 2020 .

A unified deep learning framework for urban functional zone extraction based on multi-source heterogeneous data

Yansheng Li, Haifeng Li, Weipeng Lu, 2022, Remote Sensing of Environment.

TOV: The Original Vision Model for Optical Remote Sensing Image Understanding via Self-Supervised Learning

Weipeng Lu, Chao Tao, J. Qi, 2022, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Deep fisher autoencoder combined with self-organizing map for visual industrial process monitoring

Xuefeng Yan, Wei-Peng Lu, Xue-feng Yan, 2020 .

Deep model based on mode elimination and Fisher criterion combined with self-organizing map for visual multimodal chemical process monitoring

Xuefeng Yan, Weipeng Lu, Xue-feng Yan, 2021, Inf. Sci..

Urban functional zone classification based on self-supervised learning: A case study in Beijing, China

Huihui Feng, Weipeng Lu, J. Qi, 2022, Frontiers in Environmental Science.

Industrial process data visualization based on a deep enhanced t-distributed stochastic neighbor embedding neural network

Xue-feng Yan, Weipeng Lu, 2022, Assembly Automation.

Visual high dimensional industrial process monitoring based on deep discriminant features and t-SNE

Xuefeng Yan, Weipeng Lu, Xue-feng Yan, 2021, Multidimensional Systems and Signal Processing.

Visual Monitoring of Industrial Operation States Based on Kernel Fisher Vector and Self-organizing Map Networks

Xue-feng Yan, Weipeng Lu, 2019, International Journal of Control, Automation and Systems.