Xinmin Zhang

Orcid: 0009-0008-4401-4099

According to our database1, Xinmin Zhang authored at least 55 papers between 2007 and 2024.

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Bibliography

2024
A Graph-Based Time-Frequency Two-Stream Network for Multistep Prediction of Key Performance Indicators in Industrial Processes.
IEEE Trans. Cybern., November, 2024

A 3-D Convolution-Based Burn-Through Point Multistep Prediction Model for Sintering Process.
IEEE Trans. Ind. Electron., April, 2024

Deep Learning of Partially Labeled Data for Quality Prediction Based on Stacked Target-Related Laplacian Autoencoder.
IEEE Trans. Neural Networks Learn. Syst., March, 2024

Information Complementary Fusion Stacked Autoencoders for Soft Sensor Applications in Multimode Industrial Processes.
IEEE Trans. Ind. Informatics, January, 2024

Mechanism of balloon burst during transcatheter aortic valve replacement pre-dilatation: Image observation and validation by finite element analysis.
Comput. Biol. Medicine, January, 2024

EnvFormer: A Decomposition-Based Transformer for Multistep Burn-Through Point Prediction in the Sintering Process.
IEEE Trans. Instrum. Meas., 2024

Adversarial Learning From Imbalanced Data: A Robust Industrial Fault Classification Method.
IEEE Trans. Inf. Forensics Secur., 2024

Global Oceanic Mesoscale Eddies Trajectories Prediction With Knowledge-Fused Neural Network.
IEEE Trans. Geosci. Remote. Sens., 2024

Causality-driven Sequence Segmentation for Enhancing Multiphase Industrial Process Data Analysis and Soft Sensing.
CoRR, 2024

Root-KGD: A Novel Framework for Root Cause Diagnosis Based on Knowledge Graph and Industrial Data.
CoRR, 2024

MediDRNet: Tackling category imbalance in diabetic retinopathy classification with dual-branch learning and prototypical contrastive learning.
Comput. Methods Programs Biomed., 2024

Faascale: Scaling MicroVM Vertically for Serverless Computing with Memory Elasticity.
Proceedings of the 2024 ACM Symposium on Cloud Computing, 2024

2023
Multisource Information Fusion for Autoformer: Soft Sensor Modeling of FeO Content in Iron Ore Sintering Process.
IEEE Trans. Ind. Informatics, December, 2023

Reinforcement learning-based cost-sensitive classifier for imbalanced fault classification.
Sci. China Inf. Sci., November, 2023

Stacked Spatial-Temporal Autoencoder for Quality Prediction in Industrial Processes.
IEEE Trans. Ind. Informatics, August, 2023

First attempt of barrier functions for Caputo's fractional-order nonlinear dynamical systems.
Sci. China Inf. Sci., July, 2023

A Faster Dynamic Feature Extractor and Its Application to Industrial Quality Prediction.
IEEE Trans. Ind. Informatics, May, 2023

Stacked supervised Poisson autoencoders-based soft-sensor for defects prediction in steelmaking process.
Comput. Chem. Eng., April, 2023

Data-driven soft sensors in blast furnace ironmaking: a survey.
Frontiers Inf. Technol. Electron. Eng., March, 2023

Feature-Aligned Stacked Autoencoder: A Novel Semisupervised Deep Learning Model for Pattern Classification of Industrial Faults.
IEEE Trans. Artif. Intell., 2023

Balanced Adversarial Robust Learning for Industrial Fault Classification with Imbalanced Data.
Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

A Decomposition-based Encoder-Decoder Framework for Multi-step Prediction of Burn-Through Point in Sintering Process.
Proceedings of the 6th IEEE International Conference on Industrial Cyber-Physical Systems, 2023

Rolling bearing fault diagnosis with variable load and few samples based on multifeature fusion meta-learning.
Proceedings of the CAA Symposium on Fault Detection, 2023

GPBP: Pipeline Extraction of Entities and Relations for Construction of Urban Utility Tunnel Knowledge Graph.
Proceedings of the CAA Symposium on Fault Detection, 2023

2022
Peer-to-Peer Electricity Trading of Interconnected Flexible Distribution Networks Based on Distributed Ledger.
IEEE Trans. Ind. Informatics, 2022

Imbalanced Sample Selection With Deep Reinforcement Learning for Fault Diagnosis.
IEEE Trans. Ind. Informatics, 2022

DSTED: A Denoising Spatial-Temporal Encoder-Decoder Framework for Multistep Prediction of Burn-Through Point in Sintering Process.
IEEE Trans. Ind. Electron., 2022

Hessian Semisupervised Scatter Regularized Classification Model With Geometric and Discriminative Information for Nonlinear Process.
IEEE Trans. Cybern., 2022

Container lifecycle-aware scheduling for serverless computing.
Softw. Pract. Exp., 2022

Identification of important factors influencing nonlinear counting systems.
Frontiers Inf. Technol. Electron. Eng., 2022

Cumulative dual-branch network framework for long-tailed multi-class classification.
Eng. Appl. Artif. Intell., 2022

A Novel Attempt of Barrier Function to the Safety of Caputo's fractional-order systems.
Proceedings of the 8th International Conference on Control, 2022

Remaining Useful Life Predictions for Turbofan Engine Using Semi-supervised DBN-LSTM Joint Training Model.
Proceedings of the 8th International Conference on Control, 2022

2021
Dynamic Variational Bayesian Student's T Mixture Regression With Hidden Variables Propagation for Industrial Inferential Sensor Development.
IEEE Trans. Ind. Informatics, 2021

Reinforced knowledge distillation: Multi-class imbalanced classifier based on policy gradient reinforcement learning.
Neurocomputing, 2021

Evolutionary overview of water resource management (1990-2019) based on a bibliometric analysis in Web of Science.
Ecol. Informatics, 2021

Quickomics: exploring omics data in an intuitive, interactive and informative manner.
Bioinform., 2021

2020
Impacts of Land Cover/Use on the Urban Thermal Environment: A Comparative Study of 10 Megacities in China.
Remote. Sens., 2020

CHOmics: A web-based tool for multi-omics data analysis and interactive visualization in CHO cell lines.
PLoS Comput. Biol., 2020

Regression and independence based variable importance measure.
Comput. Chem. Eng., 2020

2019
Development and Application of Virtual Sensing Technologies in Process Industries.
PhD thesis, 2019

A comparative study of deep and shallow predictive techniques for hot metal temperature prediction in blast furnace ironmaking.
Comput. Chem. Eng., 2019

Ensemble pattern trees for predicting hot metal temperature in blast furnace.
Comput. Chem. Eng., 2019

Poisson mixture model for defects prediction in steelmaking.
Proceedings of the 58th Annual Conference of the Society of Instrument and Control Engineers of Japan, 2019

2018
Quantifying Surface Urban Heat Island Formation in the World Heritage Tropical Mountain City of Sri Lanka.
ISPRS Int. J. Geo Inf., 2018

Quality-relevant independent component regression model for virtual sensing application.
Comput. Chem. Eng., 2018

Principal Polynomial Analysis for Fault Detection and Diagnosis of Industrial Processes.
IEEE Access, 2018

A Long-Lifespan Single-Phase Single-Stage Multi-Module Inverter for PV Application.
Proceedings of the IECON 2018, 2018

Improving Ensemble Learning Performance with Complementary Neural Networks for Facial Expression Recognition.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

2017
Locally weighted kernel partial least squares regression based on sparse nonlinear features for virtual sensing of nonlinear time-varying processes.
Comput. Chem. Eng., 2017

Research on the Improvement of CNC Machine Tool HMI Based on Eye Tracking Experiment.
Proceedings of the 5th International Conference on Enterprise Systems, 2017

Pattern trees modeling for prediction and control of hot metal temperature in blast furnace ironmaking.
Proceedings of the 11th Asian Control Conference, 2017

2016
MethPat: a tool for the analysis and visualisation of complex methylation patterns obtained by massively parallel sequencing.
BMC Bioinform., 2016

2013
Research on Context Aware Network Security Model.
J. Networks, 2013

2007
Optimising oligonucleotide array design for ChIP-on-chip.
BMC Bioinform., 2007


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