Feiya Lv

System for Recommending Telecommunication Packages Based on the Deep and Cross Network

S. Wei, Congming Shi, Wen Wang, 2022, Wireless Communications and Mobile Computing.

Recommender System for Telecom Packages Based on the Deep & Cross Network

Congming Shi, Shoulin Wei, Wen Wang, 2021 .

Higher‐order correlation–based multivariate statistical process monitoring

Chenglin Wen, Meiqin Liu, Zhejing Bao, 2018 .

Weighted time series fault diagnosis based on a stacked sparse autoencoder

Chenglin Wen, Meiqin Liu, Zhejing Bao, 2017 .

Interpretable fault detection using projections of mutual information matrix

Chenglin Wen, José Carlos Príncipe, Shujian Yu, 2021, J. Frankl. Inst..

Dynamic reconstruction based representation learning for multivariable process monitoring

Chenglin Wen, Meiqin Liu, Feiya Lv, 2019, Journal of Process Control.

Representation learning based adaptive multimode process monitoring

Chenglin Wen, Meiqin Liu, Feiya Lv, 2018, Chemometrics and Intelligent Laboratory Systems.

Fault diagnosis based on deep learning

Chenglin Wen, Meiqin Liu, Zhejing Bao, 2016, 2016 American Control Conference (ACC).

Mutual Information Matrix for Interpretable Fault Detection pdf

Jose C. Principe, Shujian Yu, Chenglin Wen, 2020, ArXiv.

Causality-Embedded Reconstruction Network for High-resolution Fault Identification in Chemical Process

Xiaotian Bi, Feiya Lv, Zhihai Xu, 2024, Process Safety and Environmental Protection.

Stacked Sparse Auto Encoder Network Based Multimode Process Monitoring

Chenglin Wen, Zhejing Bao, Xiaonan Fan, 2018, 2018 International Conference on Control, Automation and Information Sciences (ICCAIS).