Lin Lin

Orcid: 0000-0001-9525-1168

Affiliations:
  • Harbin Institute of Technology, School of Mechatronics Engineering, China
  • Huazhong University of Science and Technology, Department of mechanical engineering, Wuhan, China (PhD 1995)


According to our database1, Lin Lin authored at least 48 papers between 2005 and 2026.

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

Timeline

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Bibliography

2026
GIRMSF-global information reconstruction and multi-scale feature sharpening framework for knowledge graph embedding.
Expert Syst. Appl., 2026

2025
DKAMFormer: Domain Knowledge-Augmented Multiscale Transformer for Remaining Useful Life Prediction of Aeroengine.
IEEE CAA J. Autom. Sinica, August, 2025

Differential contrast guidance for aeroengine fault diagnosis with limited data.
J. Intell. Manuf., February, 2025

Prototype matching-based meta-learning model for few-shot fault diagnosis of mechanical system.
Neurocomputing, 2025

PSTFormer: A novel parallel spatial-temporal transformer for remaining useful life prediction of aeroengine.
Expert Syst. Appl., 2025

Reconstruction method of aircraft wing stress field under limited measurement points via multi-source heterogeneous information fusion.
Adv. Eng. Informatics, 2025

Collaborative Tree Search for Enhancing Embodied Multi-Agent Collaboration.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
Optimizing Driving Parameters of the Jumbo Drill Efficiently with XGBoost-DRWIACO Framework: Applied to Increase the Feed Speed.
Sensors, April, 2024

SRSCL: A strong-relatedness-sequence-based fine-grained collective entity linking method for heterogeneous information networks.
Expert Syst. Appl., March, 2024

Feature-level SMOTE: Augmenting fault samples in learnable feature space for imbalanced fault diagnosis of gas turbines.
Expert Syst. Appl., March, 2024

MCA-DTCN: A novel dual-task temporal convolutional network with multi-channel attention for first prediction time detection and remaining useful life prediction.
Reliab. Eng. Syst. Saf., January, 2024

DCSIAN: A novel deep cross-scale interactive attention network for fault diagnosis of aviation hydraulic pumps and generalizable applications.
Reliab. Eng. Syst. Saf., 2024

SelectE: Multi-scale adaptive selection network for knowledge graph representation learning.
Knowl. Based Syst., 2024

HOOST: A novel hyperplane-oriented over-sampling technique for imbalanced fault detection of aero-engines.
Knowl. Based Syst., 2024

PathEL: A novel collective entity linking method based on relationship paths in heterogeneous information networks.
Inf. Syst., 2024

Integrating adversarial training strategies into deep autoencoders: A novel aeroengine anomaly detection framework.
Eng. Appl. Artif. Intell., 2024

Channel attention & temporal attention based temporal convolutional network: A dual attention framework for remaining useful life prediction of the aircraft engines.
Adv. Eng. Informatics, 2024

2023
Using combinatorial optimization to solve entity alignment: An efficient unsupervised model.
Neurocomputing, November, 2023

Deep attention SMOTE: Data augmentation with a learnable interpolation factor for imbalanced anomaly detection of gas turbines.
Comput. Ind., October, 2023

CSiamese: a novel semi-supervised anomaly detection framework for gas turbines via reconstruction similarity.
Neural Comput. Appl., August, 2023

A Self-Attention Integrated Learning Model for Landing Gear Performance Prediction.
Sensors, July, 2023

A novel method for aeroengine performance model reconstruction based on CDAE model.
Adv. Eng. Informatics, April, 2023

Novel aeroengine fault diagnosis method based on feature amplification.
Eng. Appl. Artif. Intell., 2023

2022
A Novel Time-Series Memory Auto-Encoder With Sequentially Updated Reconstructions for Remaining Useful Life Prediction.
IEEE Trans. Neural Networks Learn. Syst., 2022

CAE-WANN: A novel anomaly detection method for gas turbines via search space extension.
Qual. Reliab. Eng. Int., 2022

Highly imbalanced fault diagnosis of gas turbines via clustering-based downsampling and deep siamese self-attention network.
Adv. Eng. Informatics, 2022

2021
Deep residual LSTM with domain-invariance for remaining useful life prediction across domains.
Reliab. Eng. Syst. Saf., 2021

A re-optimized deep auto-encoder for gas turbine unsupervised anomaly detection.
Eng. Appl. Artif. Intell., 2021

2020
A similarity model based on reinforcement local maximum connected same destination structure oriented to disordered fusion of knowledge graphs.
Appl. Intell., 2020

2019
Long-term prediction of system degradation with similarity analysis of multivariate patterns.
Reliab. Eng. Syst. Saf., 2019

Trans-layer model learning: A hierarchical modeling strategy for real-time reliability evaluation of complex systems.
Reliab. Eng. Syst. Saf., 2019

A novel unsupervised anomaly detection for gas turbine using Isolation Forest.
Proceedings of the 2019 IEEE International Conference on Prognostics and Health Management, 2019

2018
Aeroengine After-Maintenance Performance Prediction Based on Simplified Mixed Takagi - Sugeno Model.
J. Aerosp. Inf. Syst., July, 2018

PGA/MOEAD: a preference-guided evolutionary algorithm for multi-objective decision-making problems with interval-valued fuzzy preferences.
Int. J. Syst. Sci., 2018

Multi-objective decision-making model based on CBM for an aircraft fleet with reliability constraint.
Int. J. Prod. Res., 2018

Aero-Engine Exhaust Gas Temperature Prognostic Model Based on Gated Recurrent Unit Network.
Proceedings of the 2018 IEEE International Conference on Prognostics and Health Management, 2018

2017
Genetic algorithm optimized double-reservoir echo state network for multi-regime time series prediction.
Neurocomputing, 2017

Random forests-based extreme learning machine ensemble for multi-regime time series prediction.
Expert Syst. Appl., 2017

Development and application of maintenance decision-making support system for aircraft fleet.
Adv. Eng. Softw., 2017

2016
Novel continuous function prediction model using an improved Takagi-Sugeno fuzzy rule and its application based on chaotic time series.
Eng. Appl. Artif. Intell., 2016

An improved correlation-based anomaly detection approach for condition monitoring data of industrial equipment.
Proceedings of the IEEE International Conference on Prognostics and Health Management, 2016

2015
Novel adaptive hybrid rule network based on TS fuzzy rules using an improved quantum-behaved particle swarm optimization.
Neurocomputing, 2015

Two-layer random forests model for case reuse in case-based reasoning.
Expert Syst. Appl., 2015

Novel informative feature samples extraction model using cell nuclear pore optimization.
Eng. Appl. Artif. Intell., 2015

2014
Process Takagi-Sugeno model: A novel approach for handling continuous input and output functions and its application to time series prediction.
Knowl. Based Syst., 2014

2013
Handling missing values and unmatched features in a CBR system for hydro-generator design.
Comput. Aided Des., 2013

2005
Development of a Web-based collaborative manufacturing system for parallel kinematic machines.
Proceedings of the Ninth International Conference on Computer Supported Cooperative Work in Design, 2005

Object-oriented distributed workflow management system.
Proceedings of the Ninth International Conference on Computer Supported Cooperative Work in Design, 2005


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