Lei Xie

Orcid: 0000-0002-7669-1886

Affiliations:
  • Zhejiang University, State Key Laboratory of Industrial Control Technology, Hangzhou, China
  • Berlin University of Technology, Germany (2005 - 2008)
  • Zhejiang University, Hangzhou, China (PhD 2005)


According to our database1, Lei Xie authored at least 84 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Toward Effective Traffic Sign Detection via Two-Stage Fusion Neural Networks.
IEEE Trans. Intell. Transp. Syst., August, 2024

Event-Triggered Constrained Optimal Control for Organic Rankine Cycle Systems via Safe Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst., May, 2024

An Automated Diagnostic Framework for Multiple Oscillations With Median Complementary EEMD.
IEEE Trans. Control. Syst. Technol., May, 2024

EEG rhythm separation and time-frequency analysis of fast multivariate empirical mode decomposition for motor imagery BCI.
Biol. Cybern., April, 2024

Operational Optimal Tracking Control for Industrial Multirate Systems Subject to Unknown Disturbances.
IEEE Trans. Syst. Man Cybern. Syst., January, 2024

Adaptive multi-scale TF-net for high-resolution time-frequency representations.
Signal Process., January, 2024

Multiple enhanced synchrosqueezing in the time-frequency-chirprate space.
Signal Process., 2024

A rapid iterative trajectory planning method for automated parking through differential flatness.
Robotics Auton. Syst., 2024

Structured collaborative sparse dictionary learning for monitoring of multimode processes.
Inf. Sci., 2024

Towards efficient filter pruning via adaptive automatic structure search.
Eng. Appl. Artif. Intell., 2024

Learning to Race in Extreme Turning Scene with Active Exploration and Gaussian Process Regression-based MPC.
CoRR, 2024

Learning Multi-view Anomaly Detection.
CoRR, 2024

ADer: A Comprehensive Benchmark for Multi-class Visual Anomaly Detection.
CoRR, 2024

Dynamic fault detection and diagnosis for alkaline water electrolyzer with variational Bayesian Sparse principal component analysis.
CoRR, 2024

Dynamic fault detection and diagnosis of industrial alkaline water electrolyzer process with variational Bayesian dictionary learning.
CoRR, 2024

Nonlinear sparse variational Bayesian learning based model predictive control with application to PEMFC temperature control.
CoRR, 2024

MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection.
CoRR, 2024

Facilitating Reinforcement Learning for Process Control Using Transfer Learning: Perspectives.
CoRR, 2024

Data-driven auto-tuning strategy for RTO-MPC based on Bayesian optimization.
Comput. Chem. Eng., 2024

An aggressive cornering framework for autonomous vehicles combining trajectory planning and drift control.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

Learning-Based Hierarchical Model Predictive Control for Drift Vehicles.
Proceedings of the American Control Conference, 2024

A Diffusion-Based Framework for Multi-Class Anomaly Detection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
SVD-Based Robust Distributed MPC for Tracking Systems Coupled in Dynamics With Global Constraints.
IEEE Trans. Cybern., December, 2023

Towards accurate dense pedestrian detection via occlusion-prediction aware label assignment and hierarchical-NMS.
Pattern Recognit. Lett., October, 2023

Sinusoidal-assisted synchrosqueezing transform: Algorithms and biomedical applications.
Biomed. Signal Process. Control., August, 2023

Row-Column Overcomplete Structured Dictionary Learning for Enhanced Fault Detection and Isolation.
IEEE Trans. Ind. Informatics, May, 2023

Detrending and Denoising of Industrial Oscillation Data.
IEEE Trans. Ind. Informatics, April, 2023

Accelerating reinforcement learning with case-based model-assisted experience augmentation for process control.
Neural Networks, January, 2023

Kernel-based learning of birth process from evolving spatiotemporal RFS data stream in SMC-CPHD filter for multi-target tracking.
Signal Process., 2023

DiAD: A Diffusion-based Framework for Multi-class Anomaly Detection.
CoRR, 2023

Surrogate Empowered Sim2Real Transfer of Deep Reinforcement Learning for ORC Superheat Control.
CoRR, 2023

A Hybrid Deep Neural Network for Nonlinear Causality Analysis in Complex Industrial Control System.
Proceedings of the IEEE International Conference on Acoustics, 2023

Statistic-CAM: A Gradient-Free Visual Explanations for Deep Convolutional Network.
Proceedings of the CAA Symposium on Fault Detection, 2023

2022
Distributed Model Predictive Control for Vehicle Platoon With Mixed Disturbances and Model Uncertainties.
IEEE Trans. Intell. Transp. Syst., 2022

Toward Efficient Safety Helmet Detection Based on YoloV5 With Hierarchical Positive Sample Selection and Box Density Filtering.
IEEE Trans. Instrum. Meas., 2022

Estimations of time-varying birth cardinality distribution and birth intensity in Gaussian mixture CPHD filter for multi-target tracking.
Signal Process., 2022

Towards efficient filter pruning via topology.
J. Real Time Image Process., 2022

Design and optimisation of a green manufacturing-recycling network considering heavy metal pollutants - an electronic assembly case.
Int. J. Prod. Res., 2022

PBDE: an effective post-processing method based on box density for object detection.
Appl. Intell., 2022

Learning-Based MPC Controller for Drift Control of Autonomous Vehicles.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

An Efficient Framework for Detection and Recognition of Numerical Traffic Signs.
Proceedings of the IEEE International Conference on Acoustics, 2022

CICC: Channel Pruning via the Concentration of Information and Contributions of Channels.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021
An Effective Face Anti-Spoofing Method via Stereo Matching.
IEEE Signal Process. Lett., 2021

Multivariate intrinsic chirp mode decomposition.
Signal Process., 2021

Correction to: A compression pipeline for one-stage object detection model.
J. Real Time Image Process., 2021

A compression pipeline for one-stage object detection model.
J. Real Time Image Process., 2021

Self-tuning variational mode decomposition.
J. Frankl. Inst., 2021

Detection and root cause analysis of multiple plant-wide oscillations using multivariate nonlinear chirp mode decomposition and multivariate Granger causality.
Comput. Chem. Eng., 2021

SAVMD: An adaptive signal processing method for identifying protein coding regions.
Biomed. Signal Process. Control., 2021

An MPC-based Controller Framework for Agile Maneuvering of Autonomous Vehicles.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2021

Structured Dictionary Learning for Fault Detection and Isolation.
Proceedings of the CAA Symposium on Fault Detection, 2021

Detecting Multiple Plant-wide Oscillations in Process Control Systems Based on Multivariate Intrinsic Chirp Component Decomposition.
Proceedings of the CAA Symposium on Fault Detection, 2021

2020
A Unified Probabilistic Monitoring Framework for Multimode Processes Based on Probabilistic Linear Discriminant Analysis.
IEEE Trans. Ind. Informatics, 2020

Direct Multivariate Intrinsic Time-Scale Decomposition for Oscillation Monitoring.
IEEE Trans. Control. Syst. Technol., 2020

Median ensemble empirical mode decomposition.
Signal Process., 2020

Multivariate nonlinear chirp mode decomposition.
Signal Process., 2020

Predictive functional control for integrator systems.
J. Frankl. Inst., 2020

Deep Learning With Tensor Factorization Layers for Sequential Fault Diagnosis and Industrial Process Monitoring.
IEEE Access, 2020

Gene Prediction by the Scale-limited Gabor Wavelet Transform for Identifying the Protein Coding Regions.
Proceedings of the 16th International Conference on Control, 2020

Extracting fetal heart rate from abdominal ECGs based on fast multivariate empirical mode decomposition.
Proceedings of the 16th International Conference on Control, 2020

Batch-Normalization-based Soft Filter Pruning for Deep Convolutional Neural Networks.
Proceedings of the 16th International Conference on Control, 2020

Loss Constrains Added Squeeze and Excitation Blocks for Pruning Deep Neural Networks.
Proceedings of the 16th International Conference on Control, 2020

Diagnosis of Nonlinearity-induced Oscillations in Process Control Loops Based on Adaptive Chirp Mode Decomposition.
Proceedings of the 2020 American Control Conference, 2020

2019
Structured Joint Sparse Principal Component Analysis for Fault Detection and Isolation.
IEEE Trans. Ind. Informatics, 2019

Detecting Nonlinear Oscillations in Process Control Loop Based on an Improved VMD.
IEEE Access, 2019

Mixture Probabilistic Linear Discriminant Analyzer for Process Fault Classification.
Proceedings of the CAA Symposium on Fault Detection, 2019

Detecting Oscillations via Adaptive Chirp Mode Decomposition.
Proceedings of the CAA Symposium on Fault Detection, 2019

2018
Polyhedral feasible set computation of MPC-based optimal control problems.
IEEE CAA J. Autom. Sinica, 2018

Linear Mismatched Model Based Offset-Free MPC for Nonlinear Constrained Systems With Both Stochastic and Deterministic Disturbances and Its Application to CSTR.
IEEE Access, 2018

Fast Linear Parameter Varying Model Predictive Control of Buck DC-DC Converters Based on FPGA.
IEEE Access, 2018

Fast Multivariate Empirical Mode Decomposition.
IEEE Access, 2018

Development of Decay Based PLS Model and Its Economic Run-to-Run Control for Semiconductor Processes.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
Uncertain Production Scheduling Based on Fuzzy Theory Considering Utility and Production Rate.
Inf., 2017

2015
Adaptive KPCA Modeling of Nonlinear Systems.
IEEE Trans. Signal Process., 2015

A chance constrained programming approach for multi-product multi-stage integrated production planning under internal and external uncertainties.
Proceedings of the IEEE International Conference on Automation Science and Engineering, 2015

2014
Novel Just-In-Time Learning-Based Soft Sensor Utilizing Non-Gaussian Information.
IEEE Trans. Control. Syst. Technol., 2014

Automatic detection of multiple oscillations by wavelet analysis.
Comput. Electr. Eng., 2014

Fast distributed MPC based on active set method.
Comput. Chem. Eng., 2014

Detecting abnormal situations using the Kullback-Leibler divergence.
Autom., 2014

2013
Process monitoring based on Kullback Leibler divergence.
Proceedings of the 12th European Control Conference, 2013

2011
Soft sensor development using non-Gaussian Just-In-Time modeling.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2006
Swarm Intelligent Analysis of Independent Component and Its Application in Fault Detection and Diagnosis.
Proceedings of the Rough Sets and Knowledge Technology, First International Conference, 2006

Swarm Intelligent Tuning of One-Class <i>nu</i>-SVM Parameters.
Proceedings of the Rough Sets and Knowledge Technology, First International Conference, 2006

Statistical Processes Monitoring Based on Improved ICA and SVDD.
Proceedings of the Intelligent Computing, 2006


  Loading...