Lei Xie

Lei Xie

Zhejiang University

H-index: 27

Asia-China

About Lei Xie

Lei Xie, With an exceptional h-index of 27 and a recent h-index of 20 (since 2020), a distinguished researcher at Zhejiang University, specializes in the field of Statistical Process Monitoring, Control Performance Assessment.

His recent articles reflect a diverse array of research interests and contributions to the field:

Nonlinear sparse variational Bayesian learning based model predictive control with application to PEMFC temperature control

Distributed non‐linear model predictive control with Gaussian process dynamics for two‐dimensional motion of vehicle platoon

Few-shot learning on batch process modeling with imbalanced data

MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection

Structured discriminative Gaussian graph learning for multimode process monitoring

Facilitating Reinforcement Learning for Process Control Using Transfer Learning: Perspectives

Towards efficient filter pruning via adaptive automatic structure search

Dynamic fault detection and diagnosis for alkaline water electrolyzer with variational Bayesian Sparse principal component analysis

Lei Xie Information

University

Position

___

Citations(all)

2356

Citations(since 2020)

1202

Cited By

1737

hIndex(all)

27

hIndex(since 2020)

20

i10Index(all)

54

i10Index(since 2020)

37

Email

University Profile Page

Zhejiang University

Google Scholar

View Google Scholar Profile

Lei Xie Skills & Research Interests

Statistical Process Monitoring

Control Performance Assessment

Top articles of Lei Xie

Title

Journal

Author(s)

Publication Date

Nonlinear sparse variational Bayesian learning based model predictive control with application to PEMFC temperature control

arXiv preprint arXiv:2404.09519

Qi Zhang

Lei Wang

Weihua Xu

Hongye Su

Lei Xie

2024/4/15

Distributed non‐linear model predictive control with Gaussian process dynamics for two‐dimensional motion of vehicle platoon

IET Intelligent Transport Systems

Xiaorong Hu

Yao Shi

Lei Xie

Hongye Su

2024/1

Few-shot learning on batch process modeling with imbalanced data

Chemical Engineering Science

Shaowu Gu

Junghui Chen

Lei Xie

2024/3/5

MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection

arXiv preprint arXiv:2404.06564

Haoyang He

Yuhu Bai

Jiangning Zhang

Qingdong He

Hongxu Chen

...

2024/4/9

Structured discriminative Gaussian graph learning for multimode process monitoring

Journal of Chemometrics

Jing Wang

Yi Liu

Dongping Zhang

Lei Xie

Jiusun Zeng

2024/3

Facilitating Reinforcement Learning for Process Control Using Transfer Learning: Perspectives

arXiv preprint arXiv:2404.00247

Runze Lin

Junghui Chen

Lei Xie

Hongye Su

Biao Huang

2024/3/30

Towards efficient filter pruning via adaptive automatic structure search

Engineering Applications of Artificial Intelligence

Xiaozhou Xu

Jun Chen

Zhishan Li

Hongye Su

Lei Xie

2024/7/1

Dynamic fault detection and diagnosis for alkaline water electrolyzer with variational Bayesian Sparse principal component analysis

Journal of Process Control

Qi Zhang

Weihua Xu

Lei Xie

Hongye Su

2024/3/1

Detection of Oscillations in Process Control Loops from Visual Image Space Using Deep Convolutional Networks

IEEE/CAA Journal of Automatica Sinica

Tao Wang

Qiming Chen

Xun Lang

Lei Xie

Peng Li

...

2024/3/27

Dynamic fault detection and diagnosis of industrial alkaline water electrolyzer process with variational Bayesian dictionary learning

International Journal of Hydrogen Energy

Qi Zhang

Shan Lu

Lei Xie

Weihua Xu

Hongye Su

2024/5/2

Surrogate empowered Sim2Real transfer of deep reinforcement learning for ORC superheat control

Applied Energy

Runze Lin

Yangyang Luo

Xialai Wu

Junghui Chen

Biao Huang

...

2024/2/15

A diffusion-based framework for multi-class anomaly detection

AAAI'24

Haoyang He*

Jiangning Zhang*

Hongxu Chen

Xuhai Chen

Zhishan Li

...

2024/3/24

Structured collaborative sparse dictionary learning for monitoring of multimode processes

Information Sciences

Yi Liu

Jiusun Zeng

Bingbing Jiang

Weiguo Sheng

Zidong Wang

...

2024/5/1

Adaptive multi-scale TF-net for high-resolution time–frequency representations

Signal Processing

Tao Chen

Qiming Chen

Qian Zheng

Zhishan Li

Ziyi Zhang

...

2024/1/1

Toward Effective Traffic Sign Detection via Two-Stage Fusion Neural Networks

IEEE Transactions on Intelligent Transportation Systems

Zhishan Li

Hongxu Chen

Battista Biggio

Yifan He

Haoran Cai

...

2024/3/18

Kernel-based learning of birth process from evolving spatiotemporal rfs data stream in smccphd filter for multi-target tracking

Signal Processing

Qiao Huang

Lei Xie

Xiaorong Hu

Hongye Su

2023/2/1

Active design of dynamic GP models for model predictive control using expected improvement

The Canadian Journal of Chemical Engineering

Pei Sun

Junghui Chen

Lei Xie

Hongye Su

2023/8

Optimal Control for Constrained Discrete-Time Nonlinear Systems Based on Safe Reinforcement Learning

IEEE Transactions on Neural Networks and Learning Systems

Lingzhi Zhang

Lei Xie

Yi Jiang

Zhishan Li

Xueqin Liu

...

2023/10/31

A Variational Bayesian Dictionary Learning for Process Monitoring

Qi Zhang

Lei Xie

Weihua Xu

Hongye Su

2023/5/12

Vehicle yaw stability control with a two-layered learning MPC

Vehicle system dynamics

Zhiming Zhang

Lei Xie

Shan Lu

Xialai Wu

Hongye Su

2023/2/1

See List of Professors in Lei Xie University(Zhejiang University)

Co-Authors

H-index: 59
Zhiqiang Ge

Zhiqiang Ge

Zhejiang University

H-index: 55
Song Zhihuan

Song Zhihuan

Zhejiang University

H-index: 41
Uwe Kruger

Uwe Kruger

Rensselaer Polytechnic Institute

H-index: 39
Pu Li

Pu Li

Technische Universität Ilmenau

H-index: 38
Junghui Chen

Junghui Chen

Chung Yuan Christian University

H-index: 23
Chuanhou Gao

Chuanhou Gao

Zhejiang University

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